arm_compute v19.02

Change-Id: I853a3ecf38f206da13c1b03640c8adf73c20477c
diff --git a/documentation/search/all_0.html b/documentation/search/all_0.html
index f25360b..5330204 100644
--- a/documentation/search/all_0.html
+++ b/documentation/search/all_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1.html b/documentation/search/all_1.html
index b13f0f7..2f46793 100644
--- a/documentation/search/all_1.html
+++ b/documentation/search/all_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1.js b/documentation/search/all_1.js
index c48c8fd..123ac09 100644
--- a/documentation/search/all_1.js
+++ b/documentation/search/all_1.js
@@ -1,7 +1,7 @@
 var searchData=
 [
   ['_5f_5farm_5fcompute_5fgcnormalizeplanaryuvlayerkernel_5fh_5f_5f',['__ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H__',['../_g_c_normalize_planar_y_u_v_layer_kernel_8h.xhtml#ad3f75bcf86b2136eddd259ebfd476d5f',1,'GCNormalizePlanarYUVLayerKernel.h']]],
-  ['_5fallowed_5fvalues',['_allowed_values',['../namespacearm__compute_1_1utils.xhtml#a813cd3ddc61ff2066016e023927cced0',1,'arm_compute::utils']]],
+  ['_5faxis',['_axis',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#af40315449e153ebfdebe4393138dc74e',1,'arm_compute::CLReverseKernel']]],
   ['_5fbiases',['_biases',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a95ba9da2ab49208dfa0d4642c8f7b23b',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_5fborder_5fsize',['_border_size',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4',1,'arm_compute::CLDirectConvolutionLayerKernel::_border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4',1,'arm_compute::CLPoolingLayerKernel::_border_size()']]],
   ['_5fconv_5finfo',['_conv_info',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80',1,'arm_compute::CLIm2ColKernel']]],
@@ -10,15 +10,17 @@
   ['_5fconvolved_5fdims',['_convolved_dims',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a42f267d5154193e934a51be372c1db33',1,'arm_compute::CLCol2ImKernel::_convolved_dims()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2',1,'arm_compute::CLIm2ColKernel::_convolved_dims()']]],
   ['_5fdeclare_5fsdot',['_DECLARE_SDOT',['../a64__gemm__s8__12x8_2dot__toolchain__support_8h.xhtml#ae8ab8cc04d6d47c4096b9b0075d55db3',1,'dot_toolchain_support.h']]],
   ['_5fdeclare_5fudot',['_DECLARE_UDOT',['../a64__gemm__u8__12x8_2dot__toolchain__support_8h.xhtml#a8b51979aa2be3bd793c4e0d873909015',1,'dot_toolchain_support.h']]],
-  ['_5finput',['_input',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLCol2ImKernel::_input()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLDirectConvolutionLayerKernel::_input()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLFlattenLayerKernel::_input()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLIm2ColKernel::_input()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLPoolingLayerKernel::_input()']]],
+  ['_5fhas_5fvec_5fc',['_has_vec_c',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a5bf0b3b3a4d551d8038eedae077e22f9',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
+  ['_5finput',['_input',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLCol2ImKernel::_input()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLDirectConvolutionLayerKernel::_input()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLFlattenLayerKernel::_input()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLIm2ColKernel::_input()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLPoolingLayerKernel::_input()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLReverseKernel::_input()']]],
   ['_5finput0',['_input0',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a1ab65df01f310bf054323607cd09956e',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
   ['_5finput1',['_input1',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a6590f81ae0c9f3e01546c73eb31a43c8',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
+  ['_5finput2',['_input2',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a23faf35900f50c084fa1282511b7bd17',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
   ['_5finterpolationpolicy',['_interpolationPolicy',['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a8639ae30eec16840f9d0ae0549eeaf3e',1,'arm_compute::CLScaleKernel']]],
   ['_5fkernel_5fdims',['_kernel_dims',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22',1,'arm_compute::CLIm2ColKernel']]],
   ['_5fknown_5fbound',['_Known_bound',['../structarm__compute_1_1support_1_1cpp14_1_1___unique__if_3_01_t[_n]_4.xhtml#a344694425c9a8cf20c0869bdc4c675b6',1,'arm_compute::support::cpp14::_Unique_if&lt; T[N]&gt;']]],
   ['_5fnum_5felems_5fprocessed_5fper_5fiteration',['_num_elems_processed_per_iteration',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1',1,'arm_compute::CLIm2ColKernel::_num_elems_processed_per_iteration()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1',1,'arm_compute::CLPoolingLayerKernel::_num_elems_processed_per_iteration()']]],
   ['_5fnum_5fgroups',['_num_groups',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f',1,'arm_compute::CLIm2ColKernel']]],
-  ['_5foutput',['_output',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLCol2ImKernel::_output()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLDirectConvolutionLayerKernel::_output()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLFlattenLayerKernel::_output()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLGEMMMatrixMultiplyKernel::_output()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLIm2ColKernel::_output()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLPoolingLayerKernel::_output()']]],
+  ['_5foutput',['_output',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLCol2ImKernel::_output()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLDirectConvolutionLayerKernel::_output()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLFlattenLayerKernel::_output()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLGEMMMatrixMultiplyKernel::_output()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLIm2ColKernel::_output()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLPoolingLayerKernel::_output()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLReverseKernel::_output()']]],
   ['_5fpool_5finfo',['_pool_info',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a204c8ef37bc558c02542daffbaee06e2',1,'arm_compute::CLPoolingLayerKernel']]],
   ['_5freference',['_reference',['../structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml#a9cdfbe0f92ba33d9d5c84bc06600640c',1,'arm_compute::test::validation::compare_base']]],
   ['_5freinterpret_5finput_5fas_5f3d',['_reinterpret_input_as_3d',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa71ec02f998e1dcfd49ef944ec8cf23e',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
diff --git a/documentation/search/all_10.html b/documentation/search/all_10.html
index d1345a1..170dc09 100644
--- a/documentation/search/all_10.html
+++ b/documentation/search/all_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_10.js b/documentation/search/all_10.js
index 820d99a..a70b421 100644
--- a/documentation/search/all_10.js
+++ b/documentation/search/all_10.js
@@ -2,13 +2,14 @@
 [
   ['kernel',['Kernel',['../classarm__compute_1_1_kernel.xhtml#a2d8ca610baf983cdd36504b8f7e6603b',1,'arm_compute::Kernel']]],
   ['off',['OFF',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a88559a0cfd8250c9d65970cc145c92d4',1,'arm_compute::logging']]],
-  ['offset',['offset',['../structarm__compute_1_1_quantization_info.xhtml#aed7ea92f45bd273dde380a45ddced592',1,'arm_compute::QuantizationInfo::offset()'],['../classarm__compute_1_1_iterator.xhtml#a7d48061a9abb9959505f167fb02e53e1',1,'arm_compute::Iterator::offset()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ae0b0cc1f1b29c65e4e3ea56171816981',1,'arm_compute::IDistribution1D::offset()'],['../classarm__compute_1_1_prior_box_layer_info.xhtml#a8420f76d876fd4e61e653dfb6b56b5f5',1,'arm_compute::PriorBoxLayerInfo::offset()'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d',1,'offset():&#160;helpers.h'],['../namespacearm__compute_1_1graph.xhtml#ac866c81ec0f5526139dfc62ddc3f206eadfd0a82c4bf37b1e90b690a22a20692e',1,'arm_compute::graph::Offset()']]],
+  ['offset',['offset',['../structarm__compute_1_1_quantization_info.xhtml#aed7ea92f45bd273dde380a45ddced592',1,'arm_compute::QuantizationInfo::offset()'],['../classarm__compute_1_1_iterator.xhtml#a7d48061a9abb9959505f167fb02e53e1',1,'arm_compute::Iterator::offset()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ae0b0cc1f1b29c65e4e3ea56171816981',1,'arm_compute::IDistribution1D::offset()'],['../classarm__compute_1_1_prior_box_layer_info.xhtml#a8420f76d876fd4e61e653dfb6b56b5f5',1,'arm_compute::PriorBoxLayerInfo::offset()'],['../namespacearm__compute_1_1graph.xhtml#ac866c81ec0f5526139dfc62ddc3f206eadfd0a82c4bf37b1e90b690a22a20692e',1,'arm_compute::graph::Offset()'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d',1,'offset():&#160;helpers.h']]],
   ['offset_5felement_5fin_5fbytes',['offset_element_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3',1,'arm_compute::ITensorInfo::offset_element_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688',1,'arm_compute::SubTensorInfo::offset_element_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688',1,'arm_compute::TensorInfo::offset_element_in_bytes()']]],
   ['offset_5ffirst_5felement_5fin_5fbytes',['offset_first_element_in_bytes',['../struct_vector.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Vector::offset_first_element_in_bytes()'],['../struct_image.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Image::offset_first_element_in_bytes()'],['../struct_tensor3_d.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Tensor3D::offset_first_element_in_bytes()'],['../struct_tensor4_d.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Tensor4D::offset_first_element_in_bytes()'],['../classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397',1,'arm_compute::ITensorInfo::offset_first_element_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904',1,'arm_compute::SubTensorInfo::offset_first_element_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904',1,'arm_compute::TensorInfo::offset_first_element_in_bytes()']]],
+  ['offset_5fout',['OFFSET_OUT',['../activation__layer__qa8_8cl.xhtml#ae6008da94300b9fd595c9b708bade271',1,'activation_layer_qa8.cl']]],
   ['offsetlifetimemanager',['OffsetLifetimeManager',['../classarm__compute_1_1_offset_lifetime_manager.xhtml',1,'OffsetLifetimeManager'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#aff80e0c86b017e804903b706421a64b6',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#affbba9a83448152a6a66eafd73ccae69',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ae3244e49b12c4a4bd8c8d1589a51e3fc',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager(OffsetLifetimeManager &amp;&amp;)=default']]],
   ['offsetlifetimemanager_2ecpp',['OffsetLifetimeManager.cpp',['../_offset_lifetime_manager_8cpp.xhtml',1,'']]],
   ['offsetlifetimemanager_2eh',['OffsetLifetimeManager.h',['../_offset_lifetime_manager_8h.xhtml',1,'']]],
-  ['offsetmemorypool',['OffsetMemoryPool',['../classarm__compute_1_1_offset_memory_pool.xhtml',1,'OffsetMemoryPool'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a28b9a2a2781845f566426beafe70fc7d',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(IAllocator *allocator, size_t blob_size)'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a408d348b2cb16b141aba3b0885d55971',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a6c422a628c74eeaad5699e0070a5e7f9',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(OffsetMemoryPool &amp;&amp;)=default']]],
+  ['offsetmemorypool',['OffsetMemoryPool',['../classarm__compute_1_1_offset_memory_pool.xhtml',1,'OffsetMemoryPool'],['../classarm__compute_1_1_offset_memory_pool.xhtml#aca980e051e99dd4df8c818e69d3e0dcd',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(IAllocator *allocator, BlobInfo blob_info)'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a408d348b2cb16b141aba3b0885d55971',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a6c422a628c74eeaad5699e0070a5e7f9',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(OffsetMemoryPool &amp;&amp;)=default']]],
   ['offsetmemorypool_2ecpp',['OffsetMemoryPool.cpp',['../_offset_memory_pool_8cpp.xhtml',1,'']]],
   ['offsetmemorypool_2eh',['OffsetMemoryPool.h',['../_offset_memory_pool_8h.xhtml',1,'']]],
   ['offsets',['OFFSETS',['../namespacearm__compute.xhtml#af0a4d6be70322c742c12da1edccbb74da465202c26fd7181c6bc9a80648499073',1,'arm_compute']]],
@@ -19,6 +20,8 @@
   ['ompscheduler_2ecpp',['OMPScheduler.cpp',['../_o_m_p_scheduler_8cpp.xhtml',1,'']]],
   ['ompscheduler_2eh',['OMPScheduler.h',['../_o_m_p_scheduler_8h.xhtml',1,'']]],
   ['one_5fgb_5fin_5fkb',['ONE_GB_IN_KB',['../classarm__compute_1_1_m_e_m_info.xhtml#a2ac5f0a5b7dccb10d5bf9bffd33879fa',1,'arm_compute::MEMInfo']]],
+  ['op_5ffun_5fname',['OP_FUN_NAME',['../elementwise__operation_8cl.xhtml#afc658c67277583af4eaca9a340d4128c',1,'OP_FUN_NAME():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#afc658c67277583af4eaca9a340d4128c',1,'OP_FUN_NAME():&#160;elementwise_operation_quantized.cl']]],
+  ['op_5ffun_5fname_5fstr',['OP_FUN_NAME_STR',['../elementwise__operation_8cl.xhtml#a5e2243047d8466ea143cbb9e1f196a95',1,'OP_FUN_NAME_STR():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a5e2243047d8466ea143cbb9e1f196a95',1,'OP_FUN_NAME_STR():&#160;elementwise_operation_quantized.cl']]],
   ['open',['open',['../classarm__compute_1_1io_1_1_file_handler.xhtml#aa6d6ff37ab6cae622a54e37c16dd53b2',1,'arm_compute::io::FileHandler::open()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a9f1c02afefdd48c31913e6c358422727',1,'arm_compute::test::framework::PMU::open(uint64_t config)'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a576b1f78c5f05e1d9dd1ec8311f7607d',1,'arm_compute::test::framework::PMU::open(const perf_event_attr &amp;perf_config)'],['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#ab646a9b1297198d7c9e2e809c29b7391',1,'arm_compute::utils::IImageLoader::open()'],['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#ab23b23a466d459ecbad7d046bb085324',1,'arm_compute::utils::PPMLoader::open()'],['../classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#ab23b23a466d459ecbad7d046bb085324',1,'arm_compute::utils::JPEGLoader::open()'],['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a739fd000f9e30bbc875cb48a9c6edab1',1,'arm_compute::utils::NPYLoader::open()']]],
   ['opencl_2ecpp',['OpenCL.cpp',['../_open_c_l_8cpp.xhtml',1,'']]],
   ['opencl_2eh',['OpenCL.h',['../_open_c_l_8h.xhtml',1,'']]],
@@ -37,24 +40,25 @@
   ['opengles_2ecpp',['OpenGLES.cpp',['../_open_g_l_e_s_8cpp.xhtml',1,'']]],
   ['opengles_2eh',['OpenGLES.h',['../_open_g_l_e_s_8h.xhtml',1,'']]],
   ['opengles31_5fis_5favailable',['opengles31_is_available',['../namespacearm__compute.xhtml#ad8ec10f67d9849be264c23c5329d9324',1,'arm_compute']]],
-  ['operator_20_26',['operator &amp;',['../namespacearm__compute_1_1test_1_1framework.xhtml#a54873f7d8b0103a09a589b01e8cdd31f',1,'arm_compute::test::framework']]],
+  ['operation',['operation',['../classarm__compute_1_1_c_l_comparison_static.xhtml#a7e1aa842a4dc7f977a68f6ea41084b23',1,'arm_compute::CLComparisonStatic']]],
+  ['operator_20_26',['operator &amp;',['../namespacearm__compute_1_1test_1_1framework.xhtml#afe6212a8969f1c67ad9dc905e0259211',1,'arm_compute::test::framework']]],
+  ['operator_20_2a',['operator *',['../structarm__compute_1_1_border_size.xhtml#a6dc50f6ebe78ad72d8420dc6936ac0aa',1,'arm_compute::BorderSize::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a43ed4193c5a3f77694103c5ea4ff7002',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#aaa7df8101585d2ab245ed9420a94604e',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#a9f54cf9d4b83fd6db01402c4c6b7e4bc',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a35793b9a0d8f7463a92c27eb1561891a',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#abf0152608c019277104d3e57ae19e72b',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a038b867f89d963c46e2cd778922b7ab4',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#aba8186c4b78cf68c787c561c8a0f6e7a',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a82dc1e06c88a4412fd40f1750487c2ae',1,'arm_compute::test::framework::Measurement::Value::operator *()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#aeb07c1f65305ff5f7e7a9dce6d6c9148',1,'arm_compute::test::framework::dataset::operator *()']]],
+  ['operator_20_2a_3d',['operator *=',['../structarm__compute_1_1_border_size.xhtml#afe1659a812ae283eba279b2cead90c72',1,'arm_compute::BorderSize']]],
   ['operator_20bool',['operator bool',['../classarm__compute_1_1_status.xhtml#a420e60e9788bfa3b52aa3aab72ea3a5e',1,'arm_compute::Status::operator bool()'],['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_absolute_tolerance_3_01_u_01_4_01_4.xhtml#a67b76affb3b5d35fa419ac234144038b',1,'arm_compute::test::validation::compare&lt; AbsoluteTolerance&lt; U &gt; &gt;::operator bool()'],['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_relative_tolerance_3_01_u_01_4_01_4.xhtml#a67b76affb3b5d35fa419ac234144038b',1,'arm_compute::test::validation::compare&lt; RelativeTolerance&lt; U &gt; &gt;::operator bool()']]],
   ['operator_20const_20size_5ft_20_2a',['operator const size_t *',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a336bc11e29911c6581b41599b03a13c7',1,'arm_compute::gles::NDRange']]],
   ['operator_20simpletensor_3c_20t_20_3e',['operator SimpleTensor&lt; T &gt;',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a29752327fa8a586a73ef96f04d41cf38',1,'arm_compute::test::RawTensor']]],
   ['operator_20t',['operator T',['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#af0c9beda8887a48bb967dd5e2f44d5f5',1,'arm_compute::test::validation::AbsoluteTolerance']]],
   ['operator_20value_5ftype',['operator value_type',['../classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#ad3292759910d27b3e4cf00fda9c4efc0',1,'arm_compute::test::validation::RelativeTolerance']]],
   ['operator_21_3d',['operator!=',['../classarm__compute_1_1_size2_d.xhtml#aaa3f764bed47168cf134ee9a650fd3f5',1,'arm_compute::Size2D::operator!=()'],['../structarm__compute_1_1_quantization_info.xhtml#a8cb2b274e5afb37d2377bde817b06907',1,'arm_compute::QuantizationInfo::operator!=()'],['../namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451',1,'arm_compute::operator!=()']]],
-  ['operator_28_29',['operator()',['../structarm__compute_1_1detail_1_1dummy.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::dummy::operator()()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::linear::operator()()'],['../structarm__compute_1_1detail_1_1square.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::square::operator()()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::logistic::operator()()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::relu::operator()()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::brelu::operator()()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::lubrelu::operator()()'],['../classarm__compute_1_1detail_1_1compare__dimension.xhtml#a90462712db283368a62956b9b38aa6a5',1,'arm_compute::detail::compare_dimension::operator()()'],['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#a31da9070971bbf34ad5d84094b48c04f',1,'arm_compute::detail::get_tensor_info_t&lt; ITensorInfo * &gt;::operator()()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a3d97f1a607e521858d47bd5dbe731196',1,'arm_compute::TensorAccessor::operator()(unsigned int x, unsigned int y=0, unsigned int z=0, unsigned int w=0)'],['../classarm__compute_1_1_tensor_accessor.xhtml#ac4c103a9f265d857885bd10182894b8a',1,'arm_compute::TensorAccessor::operator()()'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a5ccbdeb5350ba8528eab7e4cc49fc68b',1,'arm_compute::graph::ExecutionTask::operator()()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a583a35e4fd72f072a6b76ce58c2e3998',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord) const =0'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a9fd1359f2b5ea45a31bd79b381281eb4',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord)=0'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c',1,'arm_compute::utils::uniform_real_distribution_fp16::operator()()']]],
-  ['operator_2a',['operator*',['../structarm__compute_1_1_border_size.xhtml#a19da960d23eca69f8e65d52c741147e2',1,'arm_compute::BorderSize::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a07af4e34c0a439fc7cf3e778933ad7f3',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a22934ef8b233918ea8371bed7696ad21',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#adef7d064407a702e9c3434eb6bf50224',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#adca8c965a8f8afc239c40f45cab053a7',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#a6a25f276ec55475ffb96b168da11e97a',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a050d73409add31e0c528fc68f05a7b67',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#af30d80e12a13e32b289aac3a2aaaec81',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ae9a75e9f2233655aa30f2199ed33bddd',1,'arm_compute::test::framework::Measurement::Value::operator*()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ac0d0ba443ee1c293361eea3c06c98847',1,'arm_compute::test::framework::dataset::operator*()']]],
-  ['operator_2a_3d',['operator*=',['../structarm__compute_1_1_border_size.xhtml#ac2ed52112076ed0fd2aab3fbfb758837',1,'arm_compute::BorderSize']]],
+  ['operator_28_29',['operator()',['../structarm__compute_1_1detail_1_1dummy.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::dummy::operator()()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::linear::operator()()'],['../structarm__compute_1_1detail_1_1square.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::square::operator()()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::logistic::operator()()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::relu::operator()()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::brelu::operator()()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::lubrelu::operator()()'],['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#a50f59630d99c12348ad67924da225bb6',1,'arm_compute::utils::random::RangedUniformDistribution::operator()()'],['../classarm__compute_1_1detail_1_1compare__dimension.xhtml#a90462712db283368a62956b9b38aa6a5',1,'arm_compute::detail::compare_dimension::operator()()'],['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#a31da9070971bbf34ad5d84094b48c04f',1,'arm_compute::detail::get_tensor_info_t&lt; ITensorInfo * &gt;::operator()()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a3d97f1a607e521858d47bd5dbe731196',1,'arm_compute::TensorAccessor::operator()(unsigned int x, unsigned int y=0, unsigned int z=0, unsigned int w=0)'],['../classarm__compute_1_1_tensor_accessor.xhtml#ac4c103a9f265d857885bd10182894b8a',1,'arm_compute::TensorAccessor::operator()()'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a5ccbdeb5350ba8528eab7e4cc49fc68b',1,'arm_compute::graph::ExecutionTask::operator()()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a583a35e4fd72f072a6b76ce58c2e3998',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord) const =0'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a9fd1359f2b5ea45a31bd79b381281eb4',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord)=0'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c',1,'arm_compute::utils::uniform_real_distribution_fp16::operator()()']]],
   ['operator_2b',['operator+',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a722639a64527d7e2fd655372694166ce',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2b_2b',['operator++',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator++()']]],
   ['operator_2d',['operator-',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6fb5fa1257ad2837d4b83dded72e2fe8',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2d_3d',['operator-=',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6cb5526035904ad08a9d5ba9fff9a942',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2f',['operator/',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a5c0592147dad9d6f5185a4f83d1084a5',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_3c',['operator&lt;',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6a5c240d4c678a714ffb0217c6a8d6eb',1,'arm_compute::test::framework::Measurement::Value::operator&lt;()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a1b6f30e703e3ce3e579d30351171bd9d',1,'arm_compute::test::framework::Measurement::operator&lt;()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9ec753fd569ec1bf169e26013898eb4a',1,'arm_compute::test::framework::operator&lt;()']]],
-  ['operator_3c_3c',['operator&lt;&lt;',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a7a4338759c5836029ef531ae45f57007',1,'arm_compute::test::framework::Measurement::Value::operator&lt;&lt;()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#ae0068ee19905d634193a92821067606c',1,'arm_compute::test::framework::Measurement::operator&lt;&lt;()'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a1fe3d49c1ffc3cfad62cf8672baf3818',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;&amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#aeaef465212cf21c32e47738f405d3b35',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a8aa83abfaa698052fbf74953829a607e',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, Target target_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a2066bf666e2a4f10fd6f0176bc04104d',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ConvolutionMethod convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a9ef12c4a1a97abee8bcf61ac50bafb99',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, DepthwiseConvolutionMethod depthwise_convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a5424088ffc327a30d0d2e6b7e5d67930',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, FastMathHint fast_math_hint)'],['../namespacearm__compute_1_1graph.xhtml#a7e067080ce8169b2f8be64c190edab9e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const Target &amp;target)'],['../namespacearm__compute_1_1graph.xhtml#a108f26d15227710831dbdb30e40e608e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const NodeType &amp;node_type)'],['../namespacearm__compute_1_1graph.xhtml#abcd88ed51472e534decef274fb32bcaa',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const EltwiseOperation &amp;eltwise_op)'],['../namespacearm__compute_1_1graph.xhtml#ab90b7a7fcc12792b0b6cb6486bb383dd',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1graph.xhtml#a6c721497fdfc121b38630f89b625ac39',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const FastMathHint &amp;hint)'],['../namespacearm__compute_1_1graph.xhtml#a36f71403d9328a10245a6d9d62518527',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const DepthwiseConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9a57b6c1d3a82001ad4f83676fbb9302',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a380fb68611f394f4f7525c463a3588dc',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, LogLevel level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab74cc570397d9855e79eb6cade93b3e6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, InstrumentsDescription instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ac9ba7d0cf26575884c0c2cfe5fb529b6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, LogFormat format)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a5d331575f41ec3bf8e31afce9a89cd2a',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, TestCaseFactory::Status status)'],['../namespacearm__compute.xhtml#af3985189d478b45014e7dead9d002e2a',1,'arm_compute::operator&lt;&lt;()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6d7586446a24baaa269c5f9a65ecd7f',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const AbsoluteTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e05c35e20ad8ca67a4fbdd57e33ac8c',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const RelativeTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1utils.xhtml#a24e5f40fb2db725a749dd5103ced9760',1,'arm_compute::utils::operator&lt;&lt;()'],['../namespacearm__compute.xhtml#a18d43401e8f84ed020429b41ec4e99f5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#ae8c2a3451bcf739a75aa7438e7a78d45',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#acec416ec5af175a7aad47a518fefb770',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#a295edc9f8caf95838db2c5e251153514',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#a5972c7131d378f567af9c2961f088a0b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WeightsInfo &amp;weights_info)'],['../namespacearm__compute.xhtml#a352b805b77fde4f32f44af271580677b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#af81bb4f87d418311c7ca43a28c74bf03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a59ea8b6694897a281eb3105f5c99f28f',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#a1a54a883f8acc0664accdae9bed93494',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#a32a5556a927543fe57c0d7b82c20e9b4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a9d79efe2673aeb3f9a9160b6a78de50c',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ActivationLayerInfo::ActivationFunction &amp;act_function)'],['../namespacearm__compute.xhtml#a2ab7370aab6e5698990c50c8871fa6fb',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormType &amp;norm_type)'],['../namespacearm__compute.xhtml#a6e422c610c91f611590173cd595c94c5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a336cf1e870f467e44c184587a13feeec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingType &amp;pool_type)'],['../namespacearm__compute.xhtml#ae72a61a2ca5c962ab1d37065e5598060',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a1698cb24508a2bc45962bc887f18a8d0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#adec19acb64bfca26fa53ef76f03b79ef',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayoutDimension &amp;data_layout_dim)'],['../namespacearm__compute.xhtml#a685af15532d70b8682bcc52f06f034f9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a3b22e54b0ac0204c3b89aebcd695fa03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Format &amp;format)'],['../namespacearm__compute.xhtml#aa66be15c012986ebd4c1934b97e08a36',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a7929032d41d5f23cd1778a70508d0219',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#af32c4c5cdd0efde09774eb803bc8a0bd',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#af15a06b73e1fde15f0809ce07bf1ab7d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a509047aefc691398f1bb60b1f967a98b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aab8eb6dc1ba89bb8a69f1c3845988a2b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#ab398837465010958bfccff032ad1ee51',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#a0fc75dce8064a37effa5e71344b6a5d2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a5fdae5de2d2cf2e7957f0299d17ce5ec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#a6ed8dc0f587448d14a1a33cbd5fc4f70',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#afc6e49991e36423027a467eab1e405b2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window &amp;win)'],['../namespacearm__compute.xhtml#a17881750c427aedd95deba46a4366ace',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Rectangle &amp;rect)'],['../namespacearm__compute.xhtml#a8af36ae3a3613112c3a95e57f606359a',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a4287c6842a60e5f6bf309e55f8813527',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a292505a0ec686541cfe0dcfd1d651ec5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#a9a2e48a508dc85b7280f955876bb4462',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const KeyPoint &amp;point)'],['../namespacearm__compute.xhtml#abe52a76af2aa88876d54ce8a5969e509',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PhaseType &amp;phase_type)'],['../namespacearm__compute.xhtml#a530d86eec3dbd22cab6336ffdceb0d37',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MagnitudeType &amp;magnitude_type)'],['../namespacearm__compute.xhtml#a5e7a61df2b926347b42ecadf8bcc8969',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGNormType &amp;norm_type)'],['../namespacearm__compute.xhtml#ab91d110e020f6ed987e05e82df3e350b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Size2D &amp;size)'],['../namespacearm__compute.xhtml#a4228b490e13b79a60737929d9d9e5957',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGInfo &amp;hog_info)'],['../namespacearm__compute.xhtml#abd35c1c3fb716078b1f4a25981defac4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#a1f4d95d65a62a085e929ab0a1a77add2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a907c93ba5daaabf6af7095f20340d024',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a8cfa7d498e60be008d557d025fe62ff3',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Termination &amp;termination)'],['../namespacearm__compute.xhtml#a2329ad899483ca80bbffd03a63da9f5d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a29cd1c3e1b33d61a479fa49465c5a7e7',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#ae7393414bb7b814bf70e0399f2347847',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#af3cba8a4493cee4c431d128eed565ffe',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WinogradInfo &amp;info)']]],
-  ['operator_3d',['operator=',['../classarm__compute_1_1_access_window_auto_padding.xhtml#ad38db221ef94b6cd0e73f5dfd743414a',1,'arm_compute::AccessWindowAutoPadding::operator=(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#a4bca6da5857d60a9565c60b483859208',1,'arm_compute::AccessWindowAutoPadding::operator=(AccessWindowAutoPadding &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_static.xhtml#a5c6934ef061e9aeaa31fa952c05e2730',1,'arm_compute::AccessWindowStatic::operator=(const AccessWindowStatic &amp;)=delete'],['../classarm__compute_1_1_access_window_static.xhtml#af5312479f43d5fd6c46e4e8473049847',1,'arm_compute::AccessWindowStatic::operator=(AccessWindowStatic &amp;&amp;)=default'],['../classarm__compute_1_1_program.xhtml#aa960ae62f188ce6593855ea9d90f3140',1,'arm_compute::Program::operator=(const Program &amp;)=default'],['../classarm__compute_1_1_program.xhtml#ac068143ead400561b25102c60ccd817d',1,'arm_compute::Program::operator=(Program &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a9729d318da4230e664a923d7419ddf10',1,'arm_compute::Kernel::operator=(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a22bb0cebcc049eac830795a517212f75',1,'arm_compute::Kernel::operator=(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_kernel_library.xhtml#a54fb81956f9fb1c25b279e34e1e7d966',1,'arm_compute::CLKernelLibrary::operator=()'],['../classarm__compute_1_1_i_c_l_array.xhtml#aefdb6cfe839aa0835406d5adcd37de5b',1,'arm_compute::ICLArray::operator=(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a23914bc8fc4d9bb6d4c58f8c0c399c58',1,'arm_compute::ICLArray::operator=(ICLArray &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0182f7f14809fcf8e7d1b9c8afebeafd',1,'arm_compute::ICLDistribution1D::operator=()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a580c5fa0472ca0d70b463da27803a264',1,'arm_compute::ICLHOG::operator=(const ICLHOG &amp;)=delete'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#acd0d52706236fd66484a6736d059c91c',1,'arm_compute::ICLHOG::operator=(ICLHOG &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a8740c6498dafc80428e500a056135bf1',1,'arm_compute::ICLLut::operator=()'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf',1,'arm_compute::ICLSimpleKernel::operator=(const ICLSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#affc101ff7826063a907b73a062e80216',1,'arm_compute::ICLSimpleKernel::operator=(ICLSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#af72219f9b5e8803950eb8863a23c076e',1,'arm_compute::ICLTensor::operator=(const ICLTensor &amp;)=delete'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a6a7368baa4f8580ea732b2a352217b80',1,'arm_compute::ICLTensor::operator=(ICLTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a71db1bd13fefa2e7fda34b8fffa4a863',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(const CLAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aef45d046af467d9d202a92b2824664a5',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(CLAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a504ac5c99ccc4bd0131d68c40502e48f',1,'arm_compute::CLActivationLayerKernel::operator=(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a990cf59e8f064a009fd46bfd2f0b6890',1,'arm_compute::CLActivationLayerKernel::operator=(CLActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#ab83a6646bb7b3fc2fb272f0979b4a458',1,'arm_compute::CLArithmeticAdditionKernel::operator=(const CLArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a9ac3572e118daa7e7564a61cc4a0cb02',1,'arm_compute::CLArithmeticAdditionKernel::operator=(CLArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aadc6471a53d8e91fe9406609cef75065',1,'arm_compute::CLArithmeticDivisionKernel::operator=(const CLArithmeticDivisionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aeb08cc8fb5c42b9ad946cc3b75af0323',1,'arm_compute::CLArithmeticDivisionKernel::operator=(CLArithmeticDivisionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a6fd57c96408ff45f650654afa803b13e',1,'arm_compute::CLArithmeticSubtractionKernel::operator=(const CLArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a7d0ecef561fca963ab9d018fe9749098',1,'arm_compute::CLArithmeticSubtractionKernel::operator=(CLArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ac53e223f283d620ddde6084c93bf7e41',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(const CLBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a024a45436020d3890ede950c7811d472',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(CLBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7be61da82ec2dd91d19568ded3245aae',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(const CLBatchToSpaceLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a1dea04f3a69c27a284a240301e3a0e4b',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(CLBatchToSpaceLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#aa172a2abdd7040105f2be39a50f6cff2',1,'arm_compute::CLBitwiseAndKernel::operator=(const CLBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af31b1a5d8ec88a34da6d60ba2314dde1',1,'arm_compute::CLBitwiseAndKernel::operator=(CLBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#abcfb652670535dad6ec571b3b82495f4',1,'arm_compute::CLBitwiseOrKernel::operator=(const CLBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a471cff5db30df694b97fbba067271ac0',1,'arm_compute::CLBitwiseOrKernel::operator=(CLBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#ab169d4a7c722602e5952cc2a06bf38b1',1,'arm_compute::CLBitwiseXorKernel::operator=(const CLBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a2d8ca31390ad9b7a4fdef983e1ff5856',1,'arm_compute::CLBitwiseXorKernel::operator=(CLBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a8624fa8851bcb25ed99592ffc6c4ca72',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(const CLBoundingBoxTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a37f2c72d789f262cd5d5da4d553d1d3b',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(CLBoundingBoxTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a86852428dd2f3c69bd0639568c2685f8',1,'arm_compute::CLGradientKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#aaa7e7959c4a5ab3705e79d81a7e94f1d',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#ae4e8839e52f8f14feef09d819170b40d',1,'arm_compute::CLEdgeTraceKernel::operator=()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#acbed32f07c42524f3ba442584961662a',1,'arm_compute::CLChannelCombineKernel::operator=(const CLChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a0d6c1f9be7a8c0e35a438ef7b01227f8',1,'arm_compute::CLChannelCombineKernel::operator=(CLChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a9b79b58e02befadc03a8efa21453cc6d',1,'arm_compute::CLChannelExtractKernel::operator=(const CLChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a3903cf5b0f5ffd0687b19d45a39bfb72',1,'arm_compute::CLChannelExtractKernel::operator=(CLChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a91eed753a7a5519fae24b0a5c521de68',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(const CLChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a4b92456faa23eb343f8c28949c598871',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(CLChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ac0fc2aadef37fa6f20657e42b209ca62',1,'arm_compute::CLCol2ImKernel::operator=(const CLCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ad329e4f461dd51b4bc5d1cd012cfaa70',1,'arm_compute::CLCol2ImKernel::operator=(CLCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a9896faa16e3d99ed942eb845dfe41f2e',1,'arm_compute::CLColorConvertKernel::operator=(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#ab3eb38ca98e94de0917a74b8d7d47061',1,'arm_compute::CLColorConvertKernel::operator=(CLColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a15e6fb3b62f2b84abb66d48c9157eabf',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(const CLConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a900366205ae372112b90c578e34a553d',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(CLConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#afce1f7a8135ce82d5e12342bb05f8448',1,'arm_compute::CLConvolutionRectangleKernel::operator=(const CLConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#ac746b3604d6b86789f4c817e095f9147',1,'arm_compute::CLConvolutionRectangleKernel::operator=(CLConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a00d2baeddfb23da246992686b4fec2d8',1,'arm_compute::CLCopyKernel::operator=(const CLCopyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#af20173d205e0c28af1a40a28c3620646',1,'arm_compute::CLCopyKernel::operator=(CLCopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#aa537afa3c8d990b39f5faa108ae7d981',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(const CLDeconvolutionLayerUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a928c6fcbc7c772895ea482d094a95ff7',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(CLDeconvolutionLayerUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a9a9999a79bdc4e5a8fdf8192b08aeb9b',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(const CLDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a19ef5eeb9a2d0503da3c57a73dcc17f2',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(CLDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a0a10e55699b26afdf2fbf336dc9cad09',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#aa0b00eedd537493835dab315bd459441',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(CLDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a992e1f35a42f71981ee6e0846246a292',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a80467a8f9130ad9bcf8935c86c17b8b9',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a34060a1360d8a24bfa2404161406191e',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::operator=(const CLDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a54f16452e1ed7357738e3d97bcf7d50a',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::operator=(CLDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aff837b05d92559e38076cb7a995f73fb',1,'arm_compute::CLDequantizationLayerKernel::operator=(const CLDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a262e0cb2fe628b335836c5386c467001',1,'arm_compute::CLDequantizationLayerKernel::operator=(CLDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a3ef5b9e1c310e83a57980bb4f897283a',1,'arm_compute::CLDerivativeKernel::operator=(const CLDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#aceb0191986422c3fcc97f2e9ed9fe15c',1,'arm_compute::CLDerivativeKernel::operator=(CLDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(const CLDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a46ab1c9fbed755d1da9729a47e6fbab2',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(CLDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a957a42f9679f5c4f84a88c16f263dd29',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(const CLDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ad63ed50363b89a76c3502ad955abbce3',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(CLDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac5e031f7c81be9bbac3372bb6edbd344',1,'arm_compute::CLFastCornersKernel::operator=(const CLFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac64dcd555f8756462b629bf58a28bfc3',1,'arm_compute::CLFastCornersKernel::operator=(CLFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a8c3e5f7865d66adaa39c33a83211f261',1,'arm_compute::CLCopyToArrayKernel::operator=(const CLCopyToArrayKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a09ceae93051ead63b10d88903c5a62be',1,'arm_compute::CLCopyToArrayKernel::operator=(CLCopyToArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a569042df5e874046fe622b6723289a86',1,'arm_compute::CLFillBorderKernel::operator=(const CLFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a8c127ae32e8e5fa6bab31910663bcde1',1,'arm_compute::CLFillBorderKernel::operator=(CLFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a547fcc142c47e9284b13bb679d902120',1,'arm_compute::CLFlattenLayerKernel::operator=(const CLFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a4e5ebebe67c530d0b358f4d6ccc89206',1,'arm_compute::CLFlattenLayerKernel::operator=(CLFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#af3d454b9904ea4bfa1effa73f766f41e',1,'arm_compute::CLFloorKernel::operator=(const CLFloorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ab55062eca1a3b9d5b1810bfb19843d42',1,'arm_compute::CLFloorKernel::operator=(CLFloorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a08f7ccb24ba2a9cc1ee843491fb6a875',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a4061297ca889d5ea28b487e092fac198',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(CLFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aab322f707d331394f70405702b43378a',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(const CLGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#ae05299dbd8e52799fc34298966f0375d',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(CLGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abd272921b9c15f9200c94898879f156a',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(const CLGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a587092ed39eaf708edbaa65e2e656ac3',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(CLGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56008f3777b30dc6b002815c904a9c34',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a156b6ea0879f0350c72168e647aa58a5',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(CLGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af520778a23d6716080043321d07e9999',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af7290399a051e470ba52daadd8d7f968',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a390552e0764d82400a910a18f3125299',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab2da8b158ac7059e84216ccdd38f2b20',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a717304a5652e324bc87586d3519518f5',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(const CLGEMMLowpOffsetContributionOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a07c632f602ba0c91be2328f2886c834b',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(CLGEMMLowpOffsetContributionOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a7cf7a001868fee687f4a6c8c3e794c8a',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a75378ca49800584eed6b3b2a7c1e80bb',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a0ca9ff96e804cc85719fdc1d668bddd2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a9076548cad19d01f077b13e9ed54e37b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a7e7357c847e9af3e3a423337c214dc21',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebe9950fc2003dbfd02b8b35db24b241',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a6ca497447b2d21dc65ea3601acbff855',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(const ICLGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a0d0f77ea73cb516c01a3d82f112ac023',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(ICLGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a4d63931364ae453852888a37f13eac8b',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(const CLGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ada53e19e832615ed9f424882d6d10df8',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(CLGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a6a78d63356d86ecf8e1ecd5b293087b8',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(const CLGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a85e8d5b8770128980c3fe00b25f6c8a2',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(CLGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aea377825b4153d8ea48905038cbb0ff1',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa158230a3f3ea998530f91a14bb8e5a2',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a8f6e00ff276bd98aaa4e791827a37832',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a1fa238f2d07ac54dec7dd391fe0f189d',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8f0a6bef58a1764ea6c38bc5facd8afd',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(const CLComputeAllAnchorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#ac74a747c507f9fa4f5bb703af980b029',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(CLComputeAllAnchorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a63257c15c82612674763a6d3333f1bd6',1,'arm_compute::CLHarrisScoreKernel::operator=(const CLHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a211406d60b24c4c7cc91cfb9062b71bd',1,'arm_compute::CLHarrisScoreKernel::operator=(CLHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#aa829a82c818f626213fd9bc071609261',1,'arm_compute::CLHistogramKernel::operator=(const CLHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#ac3d5f20bb919a975158ebaec91678b4f',1,'arm_compute::CLHistogramKernel::operator=(CLHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a2ca23ba242845400753a7a7e16dfd679',1,'arm_compute::CLHistogramBorderKernel::operator=(const CLHistogramBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a33342ad689f7359f1f1ac0576f0f4dda',1,'arm_compute::CLHistogramBorderKernel::operator=(CLHistogramBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#ab44e37937fd28a195ac52610b928b30e',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(const CLHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a130adf577eac62f41012daf42b23fc43',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(CLHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a2ca01c73542762846c37676789d69b5a',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(const CLHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae9efd0c575b2ccb193e1ad57026bb08b',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(CLHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a60f2e39807c636c8a787ae84ffadab38',1,'arm_compute::CLHOGDetectorKernel::operator=(const CLHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ab6b59ab8048946cf548b468b74cb7724',1,'arm_compute::CLHOGDetectorKernel::operator=(CLHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ac09104c975cb1ca9ad434c325be80e56',1,'arm_compute::CLIm2ColKernel::operator=(const CLIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad4b22573444ce7770618109732fe89fa',1,'arm_compute::CLIm2ColKernel::operator=(CLIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#af23b6173ce52f9c45601cea986114927',1,'arm_compute::CLIntegralImageVertKernel::operator=(const CLIntegralImageVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#ab4f161672ed88d4b2322e14d6923b4d6',1,'arm_compute::CLIntegralImageVertKernel::operator=(CLIntegralImageVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a652669238486d0d24c8bb110128dd09f',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(const CLL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ae5f2725a76406a68298da1e0618a8660',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(CLL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ac1a27a3a3f960b210716d8103c0b8d91',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(const CLLKTrackerStage0Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ab99cff1eafa85b4d0d32c5f0a9559111',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(CLLKTrackerStage0Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a0226443ff006bea34e6bbcb1fbff2422',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(const CLLKTrackerStage1Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a4f1ff65bdc81c14c9e9138d2d63aaece',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(CLLKTrackerStage1Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0cc875c804d3f82bd6eba503ede72a86',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(const CLLocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a901e93e5cfab9384f4cb0cdbe1349284',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(CLLocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a11f21edc185eb160e844aa0c4ca9c29a',1,'arm_compute::CLMagnitudePhaseKernel::operator=(const CLMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#adb678b97316f473c8134729d88d22513',1,'arm_compute::CLMagnitudePhaseKernel::operator=(CLMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ae9fa6f33d1193d47d77210d69ef74c7d',1,'arm_compute::CLMeanStdDevKernel::operator=(const CLMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ab656ceff38e0df4b5a5806e4f5eb67b3',1,'arm_compute::CLMeanStdDevKernel::operator=(CLMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a38771bb79f047fd0cd047b0a0cd5b245',1,'arm_compute::CLMemsetKernel::operator=(const CLMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a4c4ca836fbfad3983d37efde00063ee4',1,'arm_compute::CLMemsetKernel::operator=(CLMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a2111986a65074c1c464fe004b34d303c',1,'arm_compute::CLMinMaxLayerKernel::operator=(const CLMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#adc91b3c9c817c311cb61cc7b2b3259c2',1,'arm_compute::CLMinMaxLayerKernel::operator=(CLMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a9e34fe76534c1b75dfcb2f92acb16ec6',1,'arm_compute::CLMinMaxKernel::operator=(const CLMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#afbbcf7cebd0e8f3d28e4ffe74e6dfc16',1,'arm_compute::CLMinMaxKernel::operator=(CLMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#af478eeb354cb68fe0933f9f8b7e467e9',1,'arm_compute::CLMinMaxLocationKernel::operator=(const CLMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#abdf07fb560e5e5fc1a40f31826eef74f',1,'arm_compute::CLMinMaxLocationKernel::operator=(CLMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#afde39cdaeb3b4e6d1569ef49f70ccd5f',1,'arm_compute::CLNormalizationLayerKernel::operator=(const CLNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ac8bd4f3203d36457dc9968941e068e75',1,'arm_compute::CLNormalizationLayerKernel::operator=(CLNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ab690b48ceccc9c820cf866287beb5b29',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(const CLNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a2048b80d6029b907235324d9ad2c6426',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(CLNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a8137811e0b9ccdf37b28d9498b336d89',1,'arm_compute::CLPermuteKernel::operator=(const CLPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#ae18c4f52bb3f51d3bc82406baa7538fb',1,'arm_compute::CLPermuteKernel::operator=(CLPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a68ae410a0d979d2c897d840c6749e50c',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(const CLPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a18767cd831fa27f6c0d28e847509b4cf',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(CLPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1c744387eb6e27f11fed9e0383ff55b2',1,'arm_compute::CLPoolingLayerKernel::operator=(const CLPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#adf693cc1bc9aaacdfaa73e1309f4c0b3',1,'arm_compute::CLPoolingLayerKernel::operator=(CLPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a5f547852d370af5671f98d9c82d11236',1,'arm_compute::CLPriorBoxLayerKernel::operator=(const CLPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ae8c21a2324c7a6547560d9da43339ef3',1,'arm_compute::CLPriorBoxLayerKernel::operator=(CLPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a8f28dbe7a21f5ae5c54776d1953f3d39',1,'arm_compute::CLQuantizationLayerKernel::operator=(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ad4c3fe05fa833af7ab12dbd4b55a9930',1,'arm_compute::CLQuantizationLayerKernel::operator=(CLQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a95cef45f3f6052814aeb093568822559',1,'arm_compute::CLReductionOperationKernel::operator=(const CLReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#ad350df13bf68e7094f25f4f412d08707',1,'arm_compute::CLReductionOperationKernel::operator=(CLReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a1657579b2ba3f0821766eb468f0e372e',1,'arm_compute::CLRemapKernel::operator=(const CLRemapKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a5d629728142cf99ccea7c59faf2be6e2',1,'arm_compute::CLRemapKernel::operator=(CLRemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a6fefdf5ae18cbcc448ca91fd09e9fc49',1,'arm_compute::CLReorgLayerKernel::operator=(const CLReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a7a904807891e2b844f4d5b4dbe8f4d3e',1,'arm_compute::CLReorgLayerKernel::operator=(CLReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a20996021bba3428035ada51f7cdca359',1,'arm_compute::CLReshapeLayerKernel::operator=(const CLReshapeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a7accccef6f0a0cbebdb9c207253172c3',1,'arm_compute::CLReshapeLayerKernel::operator=(CLReshapeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a1c8025fb6e9da7cb8ca56da6456dfa4f',1,'arm_compute::CLROIAlignLayerKernel::operator=(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a3e59aaa873469ec951cd955115e84847',1,'arm_compute::CLROIAlignLayerKernel::operator=(CLROIAlignLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#adb81e0c5b82b5e7c586233bd3799aa8e',1,'arm_compute::CLROIPoolingLayerKernel::operator=(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2a999ff20f3b296c116c040022a205cd',1,'arm_compute::CLROIPoolingLayerKernel::operator=(CLROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#af2d37653c2c381ce8c52df533490f2c5',1,'arm_compute::CLScharr3x3Kernel::operator=(const CLScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a2f87eef8bcf07faa1c31afe31c26e2cd',1,'arm_compute::CLScharr3x3Kernel::operator=(CLScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab30b6bb92fb3a1cb0cda6dc08e9fa160',1,'arm_compute::CLSobel3x3Kernel::operator=(const CLSobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a74e510ea252d0a53cbe946c4d5914b3e',1,'arm_compute::CLSobel3x3Kernel::operator=(CLSobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a0d2de1f5a7010147dc1d6c11eaaeda37',1,'arm_compute::CLSobel5x5HorKernel::operator=(const CLSobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ade7e08981757581d709d549c627a67bf',1,'arm_compute::CLSobel5x5HorKernel::operator=(CLSobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#abc8c95a4a6d95911a79340b6015fa70c',1,'arm_compute::CLSobel5x5VertKernel::operator=(const CLSobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a708f74ad4e821b4a14cadbbc370d9124',1,'arm_compute::CLSobel5x5VertKernel::operator=(CLSobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ae61ba8aa03f08b69195f20c2c1c4d4ef',1,'arm_compute::CLSobel7x7HorKernel::operator=(const CLSobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ace492ec10b45b7c035ed6b3dac8304c1',1,'arm_compute::CLSobel7x7HorKernel::operator=(CLSobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#afa6becd7a5a59d6853e0f447ba231ac4',1,'arm_compute::CLSobel7x7VertKernel::operator=(const CLSobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a9eff4ccf54e197ca085e6a1863833cd9',1,'arm_compute::CLSobel7x7VertKernel::operator=(CLSobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(const CLLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa21cdfff7db54a9881b8220949436309',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(CLLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(const CLLogits1DMaxShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac7ea34435f64f3e3dce08ab0ce67295e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(CLLogits1DMaxShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980',1,'arm_compute::CLLogits1DNormKernel::operator=(const CLLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a31f1716a5e72003da8fcdbc0a2dec73a',1,'arm_compute::CLLogits1DNormKernel::operator=(CLLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#af040c2d971d4d1f783e5ebf8303122e3',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(const CLSpaceToBatchLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab560f4c6e6136bb2b1cb7cba49c757de',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(CLSpaceToBatchLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a519a6c648a112bd2b51216d8d1907b18',1,'arm_compute::CLStridedSliceKernel::operator=(const CLStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a14f2152dafa1ed64e1c87eb9f61e86c5',1,'arm_compute::CLStridedSliceKernel::operator=(CLStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a4581d7592c6375980e6a04fe68e10a25',1,'arm_compute::CLUpsampleLayerKernel::operator=(const CLUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a17d050562782477d758e907c70fa09d0',1,'arm_compute::CLUpsampleLayerKernel::operator=(CLUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#ad012198a049187b766ca44b356821918',1,'arm_compute::CLWeightsReshapeKernel::operator=(const CLWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#afd2802b8c9343ee51ac62d3e6bab3963',1,'arm_compute::CLWeightsReshapeKernel::operator=(CLWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a3b3917731ac9aba105792209b0e23677',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(const CLWidthConcatenate2TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a9474659ca4a4bf972731b0465dd28afd',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(CLWidthConcatenate2TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#aa6b612ddbb80c07e294cd38a3f6534d2',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(const CLWidthConcatenate4TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a26b9ccaf52c73ed92fc20f8456315592',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(CLWidthConcatenate4TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a1fb3614a59bd2812e4e44947306051a2',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(const CLWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a2da2588ff735dc5b86d33baa97234296',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(CLWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#af12f1ad3a511ea77d45654597e7a6b0b',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(const CLWinogradFilterTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#adf555d4955247783d3e3e8506234ef11',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(CLWinogradFilterTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a7ba7ccf488268bb2ba45a37165253e41',1,'arm_compute::CLWinogradInputTransformKernel::operator=(const CLWinogradInputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#af0e852f9a86d26e1f51e61e5d9b3ef47',1,'arm_compute::CLWinogradInputTransformKernel::operator=(CLWinogradInputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#ac81bc0447feaef35a4b1283d74f50b0d',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a2583a38f8ba480034d2e508a000249b9',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(CLWinogradOutputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a2e9b7d514627ea7b6bb9322dafe11c88',1,'arm_compute::CLYOLOLayerKernel::operator=(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a3bebc7ced7278e51b1feaf0d4bb71306',1,'arm_compute::CLYOLOLayerKernel::operator=(CLYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ac05f0cf4a83538e71417dc03ec328632',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a27cffe0da493a7c23c129be3f9daa03b',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(ICLDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a5b213c889050bc3844bdf110f34f602d',1,'arm_compute::Coordinates::operator=(const Coordinates &amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a9083bc0216aad5dc437d5e42d80b1061',1,'arm_compute::Coordinates::operator=(Coordinates &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_u_info.xhtml#a5c8dff64ce1ad7bdae70879024bde002',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;cpuinfo)=delete'],['../classarm__compute_1_1_c_p_u_info.xhtml#a4cacb98f89ed3d565b7b7e4dc39e7295',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;&amp;cpuinfo)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000',1,'arm_compute::ICPPSimpleKernel::operator=(const ICPPSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036',1,'arm_compute::ICPPSimpleKernel::operator=(ICPPSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ad5e0e714da35f6f95b10c19b9a59e700',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a757b938386040ccf9f1219dc85a2e78e',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a8a61183b7dece994182972d9fede3207',1,'arm_compute::CPPCornerCandidatesKernel::operator=(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a33895b1114dec6ea25e4f5e8e2468c85',1,'arm_compute::CPPCornerCandidatesKernel::operator=(CPPCornerCandidatesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#aa5182561cc171d1c74872e91fdb2d7fb',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#abc2f7094d5e8e45b4775d302fb43dae2',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4794e75ab5c5cea7d94a176b7c7ad363',1,'arm_compute::CPPFlipWeightsKernel::operator=(const CPPFlipWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a58d226da7dee0509f9f9977bf83f1f0b',1,'arm_compute::CPPFlipWeightsKernel::operator=(CPPFlipWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a2c787fefc7ee52b787ffd59a50960e2c',1,'arm_compute::CPPPermuteKernel::operator=(const CPPPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a590793a033bdef7868ed0454d91131ee',1,'arm_compute::CPPPermuteKernel::operator=(CPPPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aef5933e70f775b33c06ddc6c3d0cf8b6',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a354351e1f7d4fd2e368e9bd500f26333',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(CPPSortEuclideanDistanceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a52da9c61c30da42133ca5db7580f2afa',1,'arm_compute::CPPUpsampleKernel::operator=(const CPPUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a9ef61e2406041809b7b47b894e95c281',1,'arm_compute::CPPUpsampleKernel::operator=(CPPUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903',1,'arm_compute::Dimensions::operator=(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a80565e11a35c48747bcc2cba06931e20',1,'arm_compute::Dimensions::operator=(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1_status.xhtml#a78472b791f38ec7cdd75ee9de6e1e349',1,'arm_compute::Status::operator=(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a0e94f86f3b38636473259a2156673d0d',1,'arm_compute::Status::operator=(Status &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a4212dc2dbdd340faeba056d37cb912de',1,'arm_compute::GCProgram::operator=(const GCProgram &amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a7792915d53fb314715e22f350a174072',1,'arm_compute::GCProgram::operator=(GCProgram &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#af29ae815590ed07fc2ce2dc3f77a23a7',1,'arm_compute::GCKernel::operator=(const GCKernel &amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#ab3eebd489d16da5b5f3378781df02052',1,'arm_compute::GCKernel::operator=(GCKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a10dbce17f04221f2d1fcd3c0a91b4d69',1,'arm_compute::GCKernelLibrary::operator=()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a10d2c80e7afcb7ae1ad42ff9a649a915',1,'arm_compute::IGCSimpleKernel::operator=(const IGCSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a90f6f44d1fbbe0d2261d81f4e9f1ff7e',1,'arm_compute::IGCSimpleKernel::operator=(IGCSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a53ba7801ed7dbf945a0413addd6dc990',1,'arm_compute::IGCTensor::operator=(const IGCTensor &amp;)=delete'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#aa49cf1d6ea350774509911cad4903ad6',1,'arm_compute::IGCTensor::operator=(IGCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a341fc3300b747bccccae264218383ce8',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(const GCAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aec3a5cc14dd9d7093349b16a21b72948',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(GCAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#af9659679b5b61ba3238c0b8ab685d469',1,'arm_compute::GCActivationLayerKernel::operator=(const GCActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a021bcf856f494b4d1569842b82962015',1,'arm_compute::GCActivationLayerKernel::operator=(GCActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a9193b176607dbe93c0f60c975d8c2b84',1,'arm_compute::GCArithmeticAdditionKernel::operator=(const GCArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a2c4a1b2129be6a61aac9c389441e70f0',1,'arm_compute::GCArithmeticAdditionKernel::operator=(GCArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a83290f6748e18cbaa52313b345fcacd5',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(const GCBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#aa89e50b4172bb1f0ab4712896f34e885',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(GCBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a5c234c52d6c2f50c3a0f83a79071d7da',1,'arm_compute::GCCol2ImKernel::operator=(const GCCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3d2fb6048605f513582e658151fa640e',1,'arm_compute::GCCol2ImKernel::operator=(GCCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#ab9afd62b3b6a2b37c662e93d276c6f76',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(const GCDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#abebfa51ee1624b9c33e0b3b6fc4fc202',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(GCDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a169af81ccfe8f51bf4376f72e74fa23a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(const GCDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#af522b540d8a70a98963dffa84ec2df5a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(GCDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#accde1890da46aed35c37db0e03b2a011',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(const GCDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a3129db689f08b45abec9f42b27d4ceb6',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(GCDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#ab459f437a1e4c3b0ee7d849879d57012',1,'arm_compute::GCDropoutLayerKernel::operator=(const GCDropoutLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#aacdb813a758a3fc5f2464d679356b085',1,'arm_compute::GCDropoutLayerKernel::operator=(GCDropoutLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8c1e52332794c1706023bf8efc93bc5f',1,'arm_compute::GCFillBorderKernel::operator=(const GCFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#acef762b66d27f0589c993da6ec06ff2e',1,'arm_compute::GCFillBorderKernel::operator=(GCFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a7e17e417d15e88ba90a874bdf0b105c9',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(const GCGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#ae40506b47d5a95a953427852f39571ac',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(GCGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a9513ed3df777b10a19441a5d59f82eed',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(const GCGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8cbd9cba305baa997084f8a359492e7b',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(GCGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a84753584506a324bcd5c40cdfd6fe521',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(const GCGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a0ef270dfa14ee22080a71a44481846f6',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(GCGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a0b0ecc60be6600a55aa46dffaa803ed9',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(const GCGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6cda598544253c29aec8f10ea78a8aed',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(GCGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a430228b1b1392252b298974038b69abd',1,'arm_compute::GCIm2ColKernel::operator=(const GCIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#ab34fe16c3f4d185089ed17c0ca3d6409',1,'arm_compute::GCIm2ColKernel::operator=(GCIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a654e750446716bbc3cfdda541a95a5e2',1,'arm_compute::GCNormalizationLayerKernel::operator=(const GCNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a94528df83e5f7552728ff1e66deaaa88',1,'arm_compute::GCNormalizationLayerKernel::operator=(GCNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae6c636adc42a8a07519df0e5e3896d03',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(const GCNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ab1305e3818a2cd8b900a09acde54b4d0',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(GCNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#ab6756c0089b63f226e1a1ee5a072b07c',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(const GCPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a61ec20b184dc58b8e5ede8723b1c0790',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(GCPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a17195b1300a741bd454e3ff93781a0be',1,'arm_compute::GCPoolingLayerKernel::operator=(const GCPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a4526a56a55cab0233391eca62d7735b2',1,'arm_compute::GCPoolingLayerKernel::operator=(GCPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a54c5d88e282d0d6a6220319bb109e83a',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(const GCLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#af0b18929f9f4da6843e93ced4d7e4025',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(GCLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a9c8fd9d3157b389f42b6e44bad2d6ff9',1,'arm_compute::GCLogits1DNormKernel::operator=(const GCLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#abaf58c95d3e455c38ef3cbd91ef394d1',1,'arm_compute::GCLogits1DNormKernel::operator=(GCLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a1c1b2c1a3c18aac3c783714eb4f4bf2b',1,'arm_compute::GCTensorShiftKernel::operator=(const GCTensorShiftKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#abd8d9f6a333bdf37f9e18c2ddaad68e0',1,'arm_compute::GCTensorShiftKernel::operator=(GCTensorShiftKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#acb4ba5202d64ea2750e8322ec662b1c6',1,'arm_compute::GCWeightsReshapeKernel::operator=(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a99c47a7a9d764cf2d58241df2a24bbea',1,'arm_compute::GCWeightsReshapeKernel::operator=(GCWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a64f60c469394d4f5f621546fc3108590',1,'arm_compute::HOGInfo::operator=(const HOGInfo &amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a3f48ffe9fe37db10eb23de67101c1500',1,'arm_compute::HOGInfo::operator=(HOGInfo &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_rectangle.xhtml#abdf21e65ee4cc7cf79a43e3de64dcc7e',1,'arm_compute::AccessWindowRectangle::operator=(const AccessWindowRectangle &amp;)=delete'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a21ab33d8ab185c1321f4c213335e6802',1,'arm_compute::AccessWindowRectangle::operator=(AccessWindowRectangle &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a5d6e77370a140f10010d3cb9e2a11857',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(const NEAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#aa288278807596db819a0bb3336f6b87c',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(NEAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a87da26ad3d611150ba40ff38f4085cb5',1,'arm_compute::NEActivationLayerKernel::operator=(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a0a42b3e7cc978aad3281a4a38e277907',1,'arm_compute::NEActivationLayerKernel::operator=(NEActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a1a359a25f8e2d5b781df6fe2ccfc09a2',1,'arm_compute::NEArithmeticAdditionKernel::operator=(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9095b3a8068080cd67214ffac9cbb7f8',1,'arm_compute::NEArithmeticAdditionKernel::operator=(NEArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#abaf3795e8b23cb20a57d6fbc2250b4f2',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(const NEArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aa67dba4afaf72f6df5662cb6d7df76d3',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(NEArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(const NEBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ae8298898728d539d56119daa4424e10a',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(NEBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#afb66e99bd8740b60d7bfd59a95af23d4',1,'arm_compute::NEBitwiseAndKernel::operator=(const NEBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5a50f6206108bf3abf3b3addfa7ae73',1,'arm_compute::NEBitwiseAndKernel::operator=(NEBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a28f175e22ab8ad069112ccdaef01f50d',1,'arm_compute::NEBitwiseNotKernel::operator=(const NEBitwiseNotKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a237559c92d41048f88e3eb997e05294f',1,'arm_compute::NEBitwiseNotKernel::operator=(NEBitwiseNotKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a5d760acdcf6781fb383167594dc296eb',1,'arm_compute::NEBitwiseOrKernel::operator=(const NEBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a6a7df384121b0a711cbd580a480906a6',1,'arm_compute::NEBitwiseOrKernel::operator=(NEBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a7fd5d2db21a7b6f3d04b99eff7a65652',1,'arm_compute::NEBitwiseXorKernel::operator=(const NEBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa74a2c630bfd78719c0f1f05ffc337f4',1,'arm_compute::NEBitwiseXorKernel::operator=(NEBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ac9fb1a343e29082ecd7ffaa0216dcd35',1,'arm_compute::NEGradientKernel::operator=(const NEGradientKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a77d401f1799eff9f50baca598c912801',1,'arm_compute::NEGradientKernel::operator=(NEGradientKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a5f1f723a41130cb9ff98478cd958ac28',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a6fcd697a53de530052da4ffd113d1dd9',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4c827d25ce4451de792fa939a61402b5',1,'arm_compute::NEEdgeTraceKernel::operator=(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a2ef3350848cbf1f21b6eaba6dca4ec1b',1,'arm_compute::NEEdgeTraceKernel::operator=(NEEdgeTraceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#af7fa6b6b40f275e2f6f0afdf42aa6130',1,'arm_compute::NEChannelCombineKernel::operator=(const NEChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4dfea5b19ebe5e46148a63af9fdbc5db',1,'arm_compute::NEChannelCombineKernel::operator=(NEChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa8e7c7a49ee3042eba01b2b7c0284f8c',1,'arm_compute::NEChannelExtractKernel::operator=(const NEChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#acf451199b29e2a9a737419455bd55757',1,'arm_compute::NEChannelExtractKernel::operator=(NEChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#aba3df1c48025933b76fcdf8006e40be0',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(const NEChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a142e9c7abcda0297be54e29344121c71',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(NEChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#aaf4d8c425a336a01399b68cd46ef3467',1,'arm_compute::NECol2ImKernel::operator=(const NECol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a792c2be01569939e6d09097bf3e72994',1,'arm_compute::NECol2ImKernel::operator=(NECol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#abcba384fd1d11e611380b5751fd1b112',1,'arm_compute::NEColorConvertKernel::operator=(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ad45cf44ba984cab65018746c5dd0220c',1,'arm_compute::NEColorConvertKernel::operator=(NEColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a5d2dd5cf486c0e0093d70cf71bb1c6f5',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a63937646418861abc1a4c0293603720a',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a098833ba328ff07d483f4d8af88ee9f8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83f9b3e1b738f05c859bd919a96450e9',1,'arm_compute::NECopyKernel::operator=(const NECopyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a856f8155b59c602246ed14b348193357',1,'arm_compute::NECopyKernel::operator=(NECopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ad1f6a0449f8106bc3c4a46b784455f2b',1,'arm_compute::NECumulativeDistributionKernel::operator=(const NECumulativeDistributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a7c095c1b8d17cdebc2135d8d5f9d17a9',1,'arm_compute::NECumulativeDistributionKernel::operator=(NECumulativeDistributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a62f3ade94d8143b81d7b803d46ff791e',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(const NEDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aea34561bcec07b7c8c97836fd2b85048',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(NEDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#aa46940ddca6a4c314bda8da9e30c86e8',1,'arm_compute::NEDepthConvertLayerKernel::operator=(const NEDepthConvertLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a3807b43a5684d5d911e6b3b90e91f34b',1,'arm_compute::NEDepthConvertLayerKernel::operator=(NEDepthConvertLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(const NEDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(NEDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a71bbff3ea2feca2cd0d70f9eb01ca90b',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(const NEDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abd81a8f6c3c7905c4cd60b70f3b3080e',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(NEDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ae65a3faf404ade3e8c3baedbbdc1b3e2',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(const NEDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a9496f50398140f7f9d61fb9d22ebc58a',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(NEDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#aa1d4701f887f2d047e5b7d20b954765d',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(const NEDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a23f3339d7c703d798f3b4e3de4f9b7d3',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(NEDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a406393d4b1f6f5c6ce79c20df507a31c',1,'arm_compute::NEDequantizationLayerKernel::operator=(const NEDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a16209f1e14086b57f0f932a3b609c96f',1,'arm_compute::NEDequantizationLayerKernel::operator=(NEDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a11f5eb3a93c035acdd9fd93f3bed50bd',1,'arm_compute::NEDerivativeKernel::operator=(const NEDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac23fff6afb2efca3962209a494931591',1,'arm_compute::NEDerivativeKernel::operator=(NEDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac299dc8386e25ebcf104989623cf6000',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(const NEDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#aec3ec4dc8b3bda8ba2638fbb9d520322',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(NEDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab02c33a0e6c13a21c8b8ceed03fd8b6d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac03d137048cbb1394dab3a761cc0357d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a3b21b6f8bfa867ac4095d07b3c24dc21',1,'arm_compute::NEFastCornersKernel::operator=(const NEFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a8197fdf1bcf46e73d178e8e9e53ff7aa',1,'arm_compute::NEFastCornersKernel::operator=(NEFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a13b2df49f2f949a2bb58f712265848bf',1,'arm_compute::NEFillArrayKernel::operator=(const NEFillArrayKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a9a55c46c05fbc0a537df4c3ccc48e674',1,'arm_compute::NEFillArrayKernel::operator=(NEFillArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#aa4f538607cbe231add821baaed273d89',1,'arm_compute::NEFillBorderKernel::operator=(const NEFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#acfb02d08dc643683c69a86b220e30574',1,'arm_compute::NEFillBorderKernel::operator=(NEFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ad1005cd5f8e117e601e605fe95eb2c43',1,'arm_compute::NEFillInnerBorderKernel::operator=(const NEFillInnerBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a211e87c29190b5815452186960925f31',1,'arm_compute::NEFillInnerBorderKernel::operator=(NEFillInnerBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#aaa8caa7803a5053e7c8c2334a6aa5d82',1,'arm_compute::NEFlattenLayerKernel::operator=(const NEFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a91feb18606cd59d3557b2b98251256e5',1,'arm_compute::NEFlattenLayerKernel::operator=(NEFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a57b8231a27fbf3bd1867c384f20f0ee7',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a524b075e28c8335b5fcd97e2d0654429',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a22225d9b8a8f6d1b8fe5186be5776362',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a06af55b2547ef858438a07ee2283cb7e',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ae9136625e4f8d015a03eb45c3b57147f',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(const NEGEMMAssemblyBaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a942c394fe0e0e7e6c95d806e1211d3d9',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(NEGEMMAssemblyBaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a881d64d29e841c5177b7a443e21d4160',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(const NEGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a525a39534b1eb64631f04062d8ea992e',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(NEGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a88b3f84ef7b1572db87c30c5ec62d3ad',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(const NEGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a29cc574f2f167b0472aad01be662d35c',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(NEGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#afd56f1f0c54f327fcfb4ca91d7d91566',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a2709f3f3c7480d4f0e5fb8de1dc4544b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#acaa1e82e83b4152c28bd01c9422898df',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a29edb028c92e2e9225cdafbf06b9beb1',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#aaf80d9eb45e49a22571fa0129a7e9d20',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(const INEGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a46dac32640298b745aeae7823c9582ee',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(INEGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a409dfc45a8604ff384712328a6c31e90',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(const NEGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a94d9d77f258a9f6f392f391086e93db1',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(NEGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a7bf4194c21adc060991ddb88ed4c8b60',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(const NEGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#adc1be2dee3a4aeeb959cf2ec7aec7657',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(NEGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a7374bb3f1d0e7e9cd4ba2c33f03fe24d',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(const NEGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a864371293368156a359430d90ebb7670',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(NEGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ae4d0d8ff6021bdee6922e6993042e7ae',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(const NEGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aa31c613d796b81e7ea7abdf0bfe68291',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(NEGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a232af38fd41caa594d7bc0571f56f50c',1,'arm_compute::INEHarrisScoreKernel::operator=(const INEHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a8c5c5c5c31d1d2eb36f6c8f71e7e181e',1,'arm_compute::INEHarrisScoreKernel::operator=(INEHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a141d3236a2c874c5ea0ac78776b4433b',1,'arm_compute::NEHistogramKernel::operator=(const NEHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4d612efbb9c534d6d89d397e65d816dd',1,'arm_compute::NEHistogramKernel::operator=(NEHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#aba51399633359154d6d92ac157ec2d79',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(const NEHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a777b74a7fe06dca3142df7575cfdb8d1',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(NEHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a82a657d81256fe50dadf69b32daeff7f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(const NEHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab4a44853a753d8217b53760a605ad81f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(NEHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a1950ead36156919ea0345e72bfe91e4f',1,'arm_compute::NEHOGDetectorKernel::operator=(const NEHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#afa7fbb664ca96646837a43aea8e9a5e8',1,'arm_compute::NEHOGDetectorKernel::operator=(NEHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a8f6d6c13a896535a381329b6145aeae8',1,'arm_compute::NEIm2ColKernel::operator=(const NEIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a6a2aca1636f47703585803ca05d10180',1,'arm_compute::NEIm2ColKernel::operator=(NEIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a8028a2c0f5d9fedccbaa8b10c91fcacc',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(const NEL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a4cc3301a251cb2c41fba0752ea047781',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(NEL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a4fca340cdf3937fc9d34364c0c63b87f',1,'arm_compute::NELKTrackerKernel::operator=(const NELKTrackerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab71320bdcd0dfbee682dd61b8c1c0b0c',1,'arm_compute::NELKTrackerKernel::operator=(NELKTrackerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a6fbdf09b0ad8f3aafc550d4dc235dcc8',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(const NELocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#aa05b3e5b37ad26879891dfcbe27a3202',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(NELocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a792f1b5315b3678896a2dd5eab8b692b',1,'arm_compute::NEMagnitudePhaseKernel::operator=(const NEMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ad45c0851db2721a94c831cbc6f30a037',1,'arm_compute::NEMagnitudePhaseKernel::operator=(NEMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a8658dfa985e2cd5805d4756eed25638d',1,'arm_compute::NEMeanStdDevKernel::operator=(const NEMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#addfd7a52f0ae7ff3ff637834f4cb977c',1,'arm_compute::NEMeanStdDevKernel::operator=(NEMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#affeb443f03d30ae971488ad113d4b95a',1,'arm_compute::NEMinMaxLayerKernel::operator=(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a830cb672edfb4d805d7b6142971cfc05',1,'arm_compute::NEMinMaxLayerKernel::operator=(NEMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a9b6ac356956d5d7dfb97871dfa8daa8e',1,'arm_compute::NEMinMaxKernel::operator=(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a8b315188bf6d2dc453acbf411c477971',1,'arm_compute::NEMinMaxKernel::operator=(NEMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab9a7c76bf701e9dbed2fd52ae73e7774',1,'arm_compute::NEMinMaxLocationKernel::operator=(const NEMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a27b90206d81f057e8bb3c921f51e5190',1,'arm_compute::NEMinMaxLocationKernel::operator=(NEMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ad1c7427d0764b87f44110b99e6ef711a',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a3951d5222dbce29fef63aa1c972bd5db',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#abd07bcfd3e6a025406dfaffbf9d44e3d',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(const NENonMaximaSuppression3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef123a42a08a4258997924a27803a565',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(NENonMaximaSuppression3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7221fb56d3119c94875fbf76addc27fe',1,'arm_compute::NENormalizationLayerKernel::operator=(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a37d9ddfcfeee1a4993746c2d3ab51290',1,'arm_compute::NENormalizationLayerKernel::operator=(NENormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a361148b07189c79f5a4178e718424554',1,'arm_compute::NEPermuteKernel::operator=(const NEPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a62da7f629d96facdeaf3e712c1a4f5af',1,'arm_compute::NEPermuteKernel::operator=(NEPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a6685c2ffbda12dbf1e4706b85c688e19',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(const NEPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#aaa5c44de29693435660b5c849c62e991',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(NEPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a1729479f9686c64edfd1a4af834d634b',1,'arm_compute::NEPoolingLayerKernel::operator=(const NEPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a0e9871f265535f65226b65ae64ab2cfb',1,'arm_compute::NEPoolingLayerKernel::operator=(NEPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a93a51f56a003ef272a4418e4bce15452',1,'arm_compute::NEPriorBoxLayerKernel::operator=(const NEPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a790572f0ca2723a5fe92abbc24949b84',1,'arm_compute::NEPriorBoxLayerKernel::operator=(NEPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aefff097fc5214bd2e8cecfbaa90cad3d',1,'arm_compute::NEQuantizationLayerKernel::operator=(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a56c4b1f3df503c5f6308c318e305d7f8',1,'arm_compute::NEQuantizationLayerKernel::operator=(NEQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a09d7fa5d5000365b8b7b2b7234b52615',1,'arm_compute::NEReductionOperationKernel::operator=(const NEReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a826800dc56e2295a28291f51c631c5ba',1,'arm_compute::NEReductionOperationKernel::operator=(NEReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#aa9096c3897bd0dbda632613a243fa835',1,'arm_compute::NERemapKernel::operator=(const NERemapKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ac19511f65e6bad8424d4dd8933e0b673',1,'arm_compute::NERemapKernel::operator=(NERemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a8043dc90b47d430e6c9c570b4d39ec64',1,'arm_compute::NEReorgLayerKernel::operator=(const NEReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a48da94ae894674d8009281d0bda17f62',1,'arm_compute::NEReorgLayerKernel::operator=(NEReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ac5110dfc692959c2e852b827976e138b',1,'arm_compute::NEROIPoolingLayerKernel::operator=(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a5224515065ba1467fd0cf092b08cc614',1,'arm_compute::NEROIPoolingLayerKernel::operator=(NEROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a9bc5c918a86ea34e0a7cc2559c010596',1,'arm_compute::NEScaleKernel::operator=(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa2d0e6d7ced452bc623cd3020e3026c7',1,'arm_compute::NEScaleKernel::operator=(NEScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a9e56daa4acb0848264206cbcabd71fb6',1,'arm_compute::NEScharr3x3Kernel::operator=(const NEScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa4a99a8888c2b726eb11026235e1df4b',1,'arm_compute::NEScharr3x3Kernel::operator=(NEScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a9e9f9a009b184aa9b7a95c08c5312c40',1,'arm_compute::NESobel3x3Kernel::operator=(const NESobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ad278035b8f39d6cbfd3e4f0df8c2267e',1,'arm_compute::NESobel3x3Kernel::operator=(NESobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9e6242e9d05e2d354358200b6b0c9bce',1,'arm_compute::NESobel5x5HorKernel::operator=(const NESobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a3e6b2451b91f83ba01eaa137cd43ad92',1,'arm_compute::NESobel5x5HorKernel::operator=(NESobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a8954c998e67758f56891caf8da30c953',1,'arm_compute::NESobel5x5VertKernel::operator=(const NESobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a59d1a2b1ef3d2b7e3bc5e942714d102a',1,'arm_compute::NESobel5x5VertKernel::operator=(NESobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aa565986054157308084976722c25cb40',1,'arm_compute::NESobel7x7HorKernel::operator=(const NESobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aea088a2f4df212fdf1fdf5c345097ee7',1,'arm_compute::NESobel7x7HorKernel::operator=(NESobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a175a100761bb3f0643d8a53cc50347c9',1,'arm_compute::NESobel7x7VertKernel::operator=(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a119c48528fa6440b33a4e25c9825d07f',1,'arm_compute::NESobel7x7VertKernel::operator=(NESobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a521b1174aeab742708cee344f456991f',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(const NELogits1DSoftmaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a6f530ecf884240c9e1efbacc620515f4',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(NELogits1DSoftmaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a07bb7672d1a33bacdb6d6c03329be8bc',1,'arm_compute::NETableLookupKernel::operator=(const NETableLookupKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aa8401b21e8ec6f12716f91a8e84f2b88',1,'arm_compute::NETableLookupKernel::operator=(NETableLookupKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ade42f76ebc9cf95d29f8642069d1c0c2',1,'arm_compute::NEThresholdKernel::operator=()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a6feb51cd492d39a63e9455dac72bc030',1,'arm_compute::NETransposeKernel::operator=(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#aef05df94b7db653754d21e0b341cb911',1,'arm_compute::NETransposeKernel::operator=(NETransposeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#aed69b535a05e3c953dfdb4255535f72b',1,'arm_compute::NEUpsampleLayerKernel::operator=(const NEUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab275a3356e327941325a5023ddcf407b',1,'arm_compute::NEUpsampleLayerKernel::operator=(NEUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7fec20804044646d6a855713fe6573ae',1,'arm_compute::INEWarpKernel::operator=(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a724673b78b929bbbd03f746c75ad2ec7',1,'arm_compute::INEWarpKernel::operator=(INEWarpKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a412907d43b6f7ce6cce48207e8af83cd',1,'arm_compute::NEWeightsReshapeKernel::operator=(const NEWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a613d3b6daf647da39d73bdad79cf0ba7',1,'arm_compute::NEWeightsReshapeKernel::operator=(NEWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a71e697bc4b8d464bf4dbe5a214b977cc',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(const NEWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a5494f151a0889375c2cc2f9f8ce1d6e8',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(NEWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a899571657a22f26128c31b35588c8fb8',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(const NEWinogradLayerTransformInputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a18abeb1ed663c61bbbdc32a0d3ecef7e',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(NEWinogradLayerTransformInputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a751da38633e08a705df626b6146085b2',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(const NEWinogradLayerTransformOutputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40b55a1414f014115c6aef7bc8656825',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(NEWinogradLayerTransformOutputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ae43e71907cc8f09be3338c84c18701bb',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(const NEWinogradLayerTransformWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a5dbb04cc8d65cafca5884f9c2c5a82b8',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(NEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab22183b5230b6cbcfd18ce0cda810774',1,'arm_compute::NEYOLOLayerKernel::operator=(const NEYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a036c2e4605e7fcbcb08974e5aff3b0eb',1,'arm_compute::NEYOLOLayerKernel::operator=(NEYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34',1,'arm_compute::PyramidInfo::operator=(const PyramidInfo &amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a09f1ed0da3ccc973d44d1156aff150f9',1,'arm_compute::PyramidInfo::operator=(PyramidInfo &amp;&amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a19a1cb67274c32a121bda25311368aa5',1,'arm_compute::Steps::operator=(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a3fbb5c5f85131d56480ce42a77e6f8e1',1,'arm_compute::Steps::operator=(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a0b6f9231ca0331d1a3194a3c921b3007',1,'arm_compute::Strides::operator=(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a8176792e94ac0c326c5338c46e6594fc',1,'arm_compute::Strides::operator=(Strides &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac9cb71b17117e1185de0ae5f11066f09',1,'arm_compute::SubTensorInfo::operator=(const SubTensorInfo &amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a96c95f8cb79e02b44aa016e7842a4b68',1,'arm_compute::SubTensorInfo::operator=(SubTensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b',1,'arm_compute::TensorInfo::operator=(const TensorInfo &amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e',1,'arm_compute::TensorInfo::operator=(TensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a',1,'arm_compute::TensorShape::operator=(const TensorShape &amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#afbfae7c97606fb71d556a9f4e46dda00',1,'arm_compute::TensorShape::operator=(TensorShape &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aa2c515476ae6f0e68d097df16d1fcc6b',1,'arm_compute::ValidRegion::operator=(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aee2d91caa7e213cece8c633926cff9c2',1,'arm_compute::ValidRegion::operator=(ValidRegion &amp;&amp;)=default'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a9ffd691a00a5c9080528c3b852bda144',1,'arm_compute::io::FileHandler::operator=(const FileHandler &amp;)=delete'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54f342231c056055100190a5429e4689',1,'arm_compute::io::FileHandler::operator=(FileHandler &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::logging::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a656c066d5514e0cb94ddbfadab0f0d62',1,'arm_compute::logging::Printer::operator=(Printer &amp;&amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#ab18882a3175cd53305509643329a400a',1,'arm_compute::logging::Logger::operator=(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a3f823d85882db15d1dd140a21ca391e2',1,'arm_compute::logging::Logger::operator=(Logger &amp;&amp;)=default'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a7768b7b80a8b640dae911af38e3315a2',1,'arm_compute::Window::Dimension::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#adfcd04c831f29841dd197ffe95dd091b',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(CLSubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a3a3488108174600975461132e1e3cc03',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(const CLSubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ae6fbac5bb10b8f2bb45c86757823fd4c',1,'arm_compute::graph::backends::CLTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ace31806f68dba1602155ce7ac97eaabb',1,'arm_compute::graph::backends::GCTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a74bed133a977865cdde5a939e0f98910',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a21f1dbacc549582a3c3517697c25e9d4',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(const NESubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ad9b26271249b5922e416b762ca69c8d1',1,'arm_compute::graph::backends::NETensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#af0302d3fc7712901f4a536d0fb27dc3c',1,'arm_compute::graph::frontend::ROIAlignLayer::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4be4b83054829b12ec645bb454e6b9cc',1,'arm_compute::graph::frontend::Stream::operator=(const Stream &amp;)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a47609f455f49a8f991eff13b250d2077',1,'arm_compute::graph::frontend::Stream::operator=(Stream &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph.xhtml#acbe0278ebf263a33f3d0b9b4be834961',1,'arm_compute::graph::Graph::operator=(const Graph &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph.xhtml#ab7c768cbf48a5cf81c0cfc1fa27a94ef',1,'arm_compute::graph::Graph::operator=(Graph &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a486c42cfea65bf964404f77404dba8da',1,'arm_compute::graph::GraphContext::operator=(const GraphContext &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a52ee8d390e25147e776bfcb39b010947',1,'arm_compute::graph::GraphContext::operator=(GraphContext &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a5d30e27e2d3ceaa4f575d84881c099aa',1,'arm_compute::graph::GraphManager::operator=(const GraphManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a7e6bc69b0ad4be79c10f72debc89dfc8',1,'arm_compute::graph::GraphManager::operator=(GraphManager &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170',1,'arm_compute::graph::INode::operator=(const INode &amp;)=delete'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249',1,'arm_compute::graph::INode::operator=(INode &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a152bf09057df80a0f6e5be985575ed80',1,'arm_compute::graph::ROIAlignLayerNode::operator=()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a09bdb150e721834eab846495da9275f9',1,'arm_compute::graph::PassManager::operator=(const PassManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a80b283e26291370143876b3764724fa3',1,'arm_compute::graph::PassManager::operator=(PassManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab8635dfa3dda23bdf12511b1580b4e3f',1,'arm_compute::BlobLifetimeManager::operator=(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a6c3ced2dfa5fbe59969d3e948ba9d329',1,'arm_compute::BlobLifetimeManager::operator=(BlobLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_memory_pool.xhtml#a48ffa311cc6842633aff367dd6f0d601',1,'arm_compute::BlobMemoryPool::operator=(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aefaf0120dcb471db4f69ad73c6a79a8b',1,'arm_compute::BlobMemoryPool::operator=(BlobMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#a36d785dc1a6a88471030943546aa8f51',1,'arm_compute::CLArray::operator=(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#aef6598a7ef623f1d4cb051d85176997b',1,'arm_compute::CLArray::operator=(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a5d11cfbbf69ebbd595d8aee3ecbafedb',1,'arm_compute::CLDistribution1D::operator=()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a2de13c6fbd9dd5506f12627b87415a51',1,'arm_compute::CLLutAllocator::operator=()'],['../classarm__compute_1_1_c_l_memory.xhtml#a74574cd4936f64bf0486bae1000a42c9',1,'arm_compute::CLMemory::operator=(const CLMemory &amp;)=default'],['../classarm__compute_1_1_c_l_memory.xhtml#af8add9f91e083ecba5952ab92de6eaf6',1,'arm_compute::CLMemory::operator=(CLMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#aba791ecf7c921e9a1c8d84baa7dd270e',1,'arm_compute::ICLMemoryRegion::operator=(const ICLMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#ad09657054c2f981a19b9ac7e4b95bd30',1,'arm_compute::ICLMemoryRegion::operator=(ICLMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a9e7404a38329c9f1fcce42b8098dc6f9',1,'arm_compute::CLSubTensor::operator=(const CLSubTensor &amp;)=delete'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#aee53085b838758adfce05657de25f5c5',1,'arm_compute::CLSubTensor::operator=(CLSubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a74c9c61e0615334fdeb176f21828a98f',1,'arm_compute::CLTensorAllocator::operator=(const CLTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#aba115eb9c458f9e99b8c3fa3975a74a3',1,'arm_compute::CLTensorAllocator::operator=(CLTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#a390de29c61d4843b56ae0d39fe1f139d',1,'arm_compute::CLCannyEdge::operator=()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ab6c49b1e869d3874128118b3fee4e57a',1,'arm_compute::CLDeconvolutionLayer::operator=(const CLDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0ea8cc5ad0f1e5d941a037fe1397e44e',1,'arm_compute::CLDeconvolutionLayer::operator=(CLDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a8d005b2a08fa38af8837e78acdc96267',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(const CLDeconvolutionLayerUpsample &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#adf54c803735c542ac8cedbb7c3f262c7',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(CLDeconvolutionLayerUpsample &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#acf1baa6f148b8ac41e5a766f599784de',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ae2f97590ca5e33e6dbc69628dd2e5d2a',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(CLDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a7e879d333563f4c267fa128928066842',1,'arm_compute::CLDequantizationLayer::operator=()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#a5376467035ae425342d9feb333452d07',1,'arm_compute::CLFastCorners::operator=()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a1bee19103166ceb1eedef2e6a4fe6515',1,'arm_compute::CLFullyConnectedLayer::operator=(const CLFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8a5afe02cef06665b7d7349a8ecbd109',1,'arm_compute::CLFullyConnectedLayer::operator=(CLFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a2b3915cc930d8148512e6ad76889c698',1,'arm_compute::CLFuseBatchNormalization::operator=(const CLFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a7744243a28857c04dc3cb94eb6de02c4',1,'arm_compute::CLFuseBatchNormalization::operator=(CLFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afc0bb21e48fb78591b51913eba818410',1,'arm_compute::CLGaussianPyramid::operator=(const CLGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#aa3f47917f1cb44a55c93363eaaf39c6e',1,'arm_compute::CLGaussianPyramid::operator=(CLGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039',1,'arm_compute::CLGEMM::operator=(const CLGEMM &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a83a121357a2121ef7f0670b3f81e4645',1,'arm_compute::CLGEMM::operator=(CLGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a025e6bce0640a6cb5ecdab8a3e57f9a0',1,'arm_compute::CLGEMMConvolutionLayer::operator=(const CLGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a78f1fff174957ab8dd876ee696d5a749',1,'arm_compute::CLGEMMConvolutionLayer::operator=(CLGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ac2494e2fd961a2305ebb15469ddb61c8',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(const CLGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aeafe3e59b630d85d379ee50e41568fe2',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(CLGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a70eba8b239fb2bd6f1a710f3c11cadfe',1,'arm_compute::CLGenerateProposalsLayer::operator=(const CLGenerateProposalsLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a3f7c854f0828f431c0b0376af42df0f4',1,'arm_compute::CLGenerateProposalsLayer::operator=(CLGenerateProposalsLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#adda387b61b237daaf8579249f84751a5',1,'arm_compute::CLHarrisCorners::operator=()'],['../classarm__compute_1_1_c_l_histogram.xhtml#acb6c95349bcbf0a7f25e7e7e1e8f4b0e',1,'arm_compute::CLHistogram::operator=()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#abec8de5d26dba14703efc9f1e49e1053',1,'arm_compute::CLHOGDetector::operator=(const CLHOGDetector &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#aa2d5fe72d2db4b034a829c0a92c80783',1,'arm_compute::CLHOGDetector::operator=(CLHOGDetector &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#a4dc60a1da8bf41adb6c4d3c428a17415',1,'arm_compute::CLHOGMultiDetection::operator=()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a24d00f8384ab6f705aa3fe84f05c142b',1,'arm_compute::CLLocallyConnectedLayer::operator=(const CLLocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a62556f200fe50d1b6f02f813ded415f0',1,'arm_compute::CLLocallyConnectedLayer::operator=(CLLocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#a3bef7233d145e0bf1c7f8d5bc6de10c8',1,'arm_compute::CLMeanStdDev::operator=(const CLMeanStdDev &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ae8a26d490bb3e1aef9c3365c1a1e0405',1,'arm_compute::CLMeanStdDev::operator=(CLMeanStdDev &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a5ec34a951324ad9bd8bf06d8620369ed',1,'arm_compute::CLMinMaxLocation::operator=(const CLMinMaxLocation &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a54669d0a20e3df491886372d4cffef69',1,'arm_compute::CLMinMaxLocation::operator=(CLMinMaxLocation &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a68eed0e07674cc6e041d5dc0fecd8c27',1,'arm_compute::CLOpticalFlow::operator=(const CLOpticalFlow &amp;)=delete'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a24252fc100901855c82e8703834f9634',1,'arm_compute::CLOpticalFlow::operator=(CLOpticalFlow &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a70408a1376ad3c51c4a4ac31606ef731',1,'arm_compute::CLSpaceToBatchLayer::operator=(const CLSpaceToBatchLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aae636d5d5d69bd1e0a94703499b61143',1,'arm_compute::CLSpaceToBatchLayer::operator=(CLSpaceToBatchLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a78c051cce781f02d3b983248fe62a420',1,'arm_compute::CLUpsampleLayer::operator=(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ae1cf67f6c813d92aba68280f72302d3e',1,'arm_compute::CLUpsampleLayer::operator=(CLUpsampleLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a548924ae4a250d1010c286069c55d921',1,'arm_compute::CLWinogradConvolutionLayer::operator=(const CLWinogradConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a750abd85a10f58e3af2d82c62d21a730',1,'arm_compute::CLWinogradConvolutionLayer::operator=(CLWinogradConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2',1,'arm_compute::LSTMParams::operator=()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a87ed9138ded739663871c103fc77b36a',1,'arm_compute::GCConvolutionLayer::operator=(const GCConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a0a2e80b84845bf2538dd5770089913b7',1,'arm_compute::GCConvolutionLayer::operator=(GCConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0f630efcedbbbc70828b135558481d0a',1,'arm_compute::GCFullyConnectedLayer::operator=(const GCFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#af0b25842ef10cd339adaff0d90a991a6',1,'arm_compute::GCFullyConnectedLayer::operator=(GCFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a40c629523cd60defececec852c96bde9',1,'arm_compute::GCGEMM::operator=(const GCGEMM &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a007cee76f844c83fd782c9f7f5183ea8',1,'arm_compute::GCGEMM::operator=(GCGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a9a8c0ce9078d258d67a4cc1a8be581b0',1,'arm_compute::GCMemory::operator=(const GCMemory &amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a124afb1dbc1e3edb86f8ff7422551181',1,'arm_compute::GCMemory::operator=(GCMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a9b586073abda157c8aa9cfc1d1a6baf7',1,'arm_compute::IGCMemoryRegion::operator=(const IGCMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#aa070a495e1556ae2dd1cbcbdc7731d01',1,'arm_compute::IGCMemoryRegion::operator=(IGCMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor.xhtml#aa4f270493cf446b73c02f830e92be848',1,'arm_compute::GCTensor::operator=(const GCTensor &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor.xhtml#ac819d83569c1bcd78c6e56dcdb995791',1,'arm_compute::GCTensor::operator=(GCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a56164dac01e367ad6b509517cd94464a',1,'arm_compute::GCTensorAllocator::operator=(const GCTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a70d4c3ea42d68d50cc207d343173696a',1,'arm_compute::GCTensorAllocator::operator=(GCTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_i_lut_allocator.xhtml#afc1c53ed4dcc1a723b9b9dcf67c578a1',1,'arm_compute::ILutAllocator::operator=()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a0f0200cb55880b234ad6b5957bcf4f1a',1,'arm_compute::ISimpleLifetimeManager::operator=(const ISimpleLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a55b290d729e4102cd5598bf68970d465',1,'arm_compute::ISimpleLifetimeManager::operator=(ISimpleLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a12e5f2915e2461321b130dcf84f3e268',1,'arm_compute::ITensorAllocator::operator=(const ITensorAllocator &amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a46277b6e964a66a9936e06f9989f0ff6',1,'arm_compute::ITensorAllocator::operator=(ITensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5e46e80e8811b4deb258cd55124e55a8',1,'arm_compute::Memory::operator=(const Memory &amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5f1c7301ebe0c0bb6fb68b74863c1eaf',1,'arm_compute::Memory::operator=(Memory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_memory_group_base.xhtml#a597892bd64122315e3329751f634c20e',1,'arm_compute::MemoryGroupBase::operator=(const MemoryGroupBase &amp;)=delete'],['../classarm__compute_1_1_memory_group_base.xhtml#acdceaca325dbcee01e9abebd2e4586dc',1,'arm_compute::MemoryGroupBase::operator=(MemoryGroupBase &amp;&amp;)=default'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#a1bd945bc8d435108eb44610985af22c2',1,'arm_compute::MemoryManagerOnDemand::operator=(const MemoryManagerOnDemand &amp;)=delete'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#ae1fea3bf72cb300aab21e99cb8b278b9',1,'arm_compute::MemoryManagerOnDemand::operator=(MemoryManagerOnDemand &amp;&amp;)=default'],['../classarm__compute_1_1_memory_region.xhtml#a56244352ef17c3750434e3fd479859cb',1,'arm_compute::MemoryRegion::operator=(const MemoryRegion &amp;)=delete'],['../classarm__compute_1_1_memory_region.xhtml#a532920766558c751318576ff10974178',1,'arm_compute::MemoryRegion::operator=(MemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ac959141838870719b552af8918577e72',1,'arm_compute::NEGEMMInterleavedWrapper::operator=()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a325fac2836aecb2da2f86b7699e2b359',1,'arm_compute::NECannyEdge::operator=()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af81e2210787e1864c8bc6458b3072f6e',1,'arm_compute::NEDeconvolutionLayer::operator=(const NEDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad441ee7d0846b6acc9d515383525ba52',1,'arm_compute::NEDeconvolutionLayer::operator=(NEDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a883ebadadd34cf5dfead2ba71777df5c',1,'arm_compute::NEDepthConvertLayer::operator=()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa450bb01e6984892ca2a04078b9c653d',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(const NEDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a360587fb0ea89c5937fbbc8e0c5f2e9f',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(NEDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61',1,'arm_compute::NEFullyConnectedLayer::operator=(const NEFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#abebe778a14cc04d5e891c85000bbf75d',1,'arm_compute::NEFullyConnectedLayer::operator=(NEFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a097e83a75f775a2d592e9779c372c2c2',1,'arm_compute::NEGaussianPyramid::operator=(const NEGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a30c3a425c100798c86932c0ff6d12bb3',1,'arm_compute::NEGaussianPyramid::operator=(NEGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a01cad4311af868f78ee3de9e09b4a6a8',1,'arm_compute::NEGEMM::operator=(const NEGEMM &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a296a65f1339d5d42de2fd545a9dc6c6d',1,'arm_compute::NEGEMM::operator=(NEGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a402fbf95b304d32f0010dd4b1a2e9b90',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(const NEGEMMAssemblyDispatch &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ac0b8f2b6d502446ead81a7e5862bc6ab',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(NEGEMMAssemblyDispatch &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ac13c7e80f7e9e6f1e2912ef50678c5c9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(const NEGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a0a7030af14bb803820435ca75009b0f9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(NEGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a6cf92b4f83cc26a87883df2e1eb54f9c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(const NEGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1f225eb8d049d500f6ea74116105e16e',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(NEGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a700706067ae7a82357f78ab2513cac99',1,'arm_compute::NEHOGMultiDetection::operator=()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a2011fb7b44e76ebd2957034db21a81b0',1,'arm_compute::NELocallyConnectedLayer::operator=(const NELocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aae34e0091ee3636e2e9f80d7c69aa3a9',1,'arm_compute::NELocallyConnectedLayer::operator=(NELocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a21df3a34e101b1a8f689aa6326b90441',1,'arm_compute::NEOpticalFlow::operator=()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ae2d47df9fdf935549764571144c6c1c1',1,'arm_compute::NERNNLayer::operator=(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a9b76a4c1bbcb9d6dc0573fb8ef3be3b8',1,'arm_compute::NERNNLayer::operator=(NERNNLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#af00f525fea55946a514cfec3e4b95cf2',1,'arm_compute::NEWinogradConvolutionLayer::operator=()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ac0f085875ec28fc74854dde66e516d40',1,'arm_compute::OffsetLifetimeManager::operator=(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#af80823abd6f1c0958ace5e7c1bb7833e',1,'arm_compute::OffsetLifetimeManager::operator=(OffsetLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a99daecc3ea244297f40ff2d8bbed79e5',1,'arm_compute::OffsetMemoryPool::operator=(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a7c0cd0404fd5482c2229abf8b93d1f59',1,'arm_compute::OffsetMemoryPool::operator=(OffsetMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_pool_manager.xhtml#a2bfc06a61c655c3a5b8638336c6f504f',1,'arm_compute::PoolManager::operator=(const PoolManager &amp;)=delete'],['../classarm__compute_1_1_pool_manager.xhtml#a1989d6763b5a90b6cc2a4d8313001424',1,'arm_compute::PoolManager::operator=(PoolManager &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor.xhtml#a90a31c7d9dde928db10b23bccd64b87d',1,'arm_compute::SubTensor::operator=(const SubTensor &amp;)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#ab77dfdfcd9be21524025d71a9650fba5',1,'arm_compute::SubTensor::operator=(SubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_tensor.xhtml#a008f5e2a1c019e9b401753210a99ddfe',1,'arm_compute::Tensor::operator=()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a943854ce6f3aafac2714340e0915de75',1,'arm_compute::TensorAllocator::operator=(const TensorAllocator &amp;)=delete'],['../classarm__compute_1_1_tensor_allocator.xhtml#ace0f71b15cbb5b468070f5a2fd4110ad',1,'arm_compute::TensorAllocator::operator=(TensorAllocator &amp;&amp;) noexcept'],['../classarm__gemm_1_1_buffer.xhtml#a5e31690a2c14a3428593c0af4435158a',1,'arm_gemm::Buffer::operator=()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a8dbc0e51b4dc4103bcd2d7429882f25a',1,'arm_gemm::BufferManager::operator=()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#af03b8e4289fa0e112d315dd7e25ec696',1,'arm_gemm::GemmInterleaved::operator=()'],['../classarm__gemm_1_1_gemm_native.xhtml#a27d1c82132d0cae0a2d04fb3c5c4b6d3',1,'arm_gemm::GemmNative::operator=()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a1de2cd698285048e8b3d214bf773430f',1,'arm_gemm::GemvNativeTransposed::operator=()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a4bd9591d6da5b65a99c56f82acc14c4c',1,'arm_gemm::GemvPretransposed::operator=()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61',1,'arm_compute::test::CLAccessor::operator=(const CLAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#afbf0737f9bb10f445830a603552ee7ca',1,'arm_compute::test::CLAccessor::operator=(CLAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a56b520c98dd5187fb13b7ee4f0356e93',1,'arm_compute::test::CLArrayAccessor::operator=(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ad0aeb1c3b2795a2008703a500d05f7f1',1,'arm_compute::test::CLArrayAccessor::operator=(CLArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#aad095a31506317d73c3a890efed1a77e',1,'arm_compute::test::CLHOGAccessor::operator=(const CLHOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a9b6519d4333c2f3a7335fdeba8ad036e',1,'arm_compute::test::CLHOGAccessor::operator=(CLHOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a4fb1029695f6ad5dcb495b61bf01ff12',1,'arm_compute::test::CLLutAccessor::operator=(const CLLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#ad3048c2580c341fd76b3647f8f71662a',1,'arm_compute::test::CLLutAccessor::operator=(CLLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a969cbf086a9939be47ea26a557ebf440',1,'arm_compute::test::framework::CommonOptions::operator=()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae4a6c66ea355204cca47490247b91f5f',1,'arm_compute::test::framework::Instrument::operator=(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a550047da2682a06765be837ae570e542',1,'arm_compute::test::framework::Instrument::operator=(Instrument &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a6a1582aa0e3a2791a9e3a00d3001d66e',1,'arm_compute::test::framework::MaliCounter::operator=()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a38d3874bedeff5dfa1957112a40b08c9',1,'arm_compute::test::framework::SchedulerClock::operator=(const SchedulerClock &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#acd51d33419e5e10f03554e58d6bada4e',1,'arm_compute::test::framework::SchedulerClock::operator=(SchedulerClock &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::test::framework::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab9efee145dd3e600454d5790050051ab',1,'arm_compute::test::framework::Printer::operator=(Printer &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a47f2ee4769e9519ed011fcc8b4c25b80',1,'arm_compute::test::GCAccessor::operator=(const GCAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a0d69d9b5b77ad212fbc3c30717653256',1,'arm_compute::test::GCAccessor::operator=(GCAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a75dae34a374af1dc690c73cda2605586',1,'arm_compute::test::Accessor::operator=(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2abf258677dd2dbe5821945c961584bc',1,'arm_compute::test::Accessor::operator=(Accessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#ab8e135abcf1fafedfcf9ee0577af6fa1',1,'arm_compute::test::ArrayAccessor::operator=(const ArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a2cac2e7a5f7f729bd612f69fb0e21b19',1,'arm_compute::test::ArrayAccessor::operator=(ArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a984182b61b3fb4264efb5bcd81b80327',1,'arm_compute::test::HOGAccessor::operator=(const HOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a4f8ad4080e43b8c3ac84ac8027e0dc69',1,'arm_compute::test::HOGAccessor::operator=(HOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aab55c8a099bd3c9c705c22154375a1a2',1,'arm_compute::test::LutAccessor::operator=(const LutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a245b2a5255f1aa5d34a026cf7316d931',1,'arm_compute::test::LutAccessor::operator=(LutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5fbc8143d612bfca981fa8639649fd60',1,'arm_compute::test::RawLutAccessor::operator=(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac18e8430f571890da3a094188ddec4f8',1,'arm_compute::test::RawLutAccessor::operator=(RawLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac',1,'arm_compute::test::RawTensor::operator=()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed',1,'arm_compute::test::SimpleTensor::operator=()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#afed776bb9670af4abedc158164e2aab8',1,'arm_compute::utils::CommonGraphOptions::operator=(const CommonGraphOptions &amp;)=delete'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a9a8aa1d010c8c0f650c55aefa8ece74e',1,'arm_compute::utils::CommonGraphOptions::operator=(CommonGraphOptions &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#aeeb120f5eddd6460ae7681a8d018ce15',1,'arm_compute::graph_utils::NumPyAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a29067af1bc346b969ff667fa490e692c',1,'arm_compute::graph_utils::TopNPredictionsAccessor::operator=()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a14a8151e7c79a50f93572133e29f0386',1,'arm_compute::utils::MemoryImageFeeder::operator=(const MemoryImageFeeder &amp;)=delete'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#ae3e2ad983aa2f9f0b232cb9cdf140117',1,'arm_compute::utils::MemoryImageFeeder::operator=(MemoryImageFeeder &amp;&amp;)=default']]],
+  ['operator_3c_3c',['operator&lt;&lt;',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a7a4338759c5836029ef531ae45f57007',1,'arm_compute::test::framework::Measurement::Value::operator&lt;&lt;()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#ae0068ee19905d634193a92821067606c',1,'arm_compute::test::framework::Measurement::operator&lt;&lt;()'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a1fe3d49c1ffc3cfad62cf8672baf3818',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;&amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#aeaef465212cf21c32e47738f405d3b35',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a8aa83abfaa698052fbf74953829a607e',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, Target target_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a2066bf666e2a4f10fd6f0176bc04104d',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ConvolutionMethod convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a9ef12c4a1a97abee8bcf61ac50bafb99',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, DepthwiseConvolutionMethod depthwise_convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a5424088ffc327a30d0d2e6b7e5d67930',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, FastMathHint fast_math_hint)'],['../namespacearm__compute_1_1graph.xhtml#a7e067080ce8169b2f8be64c190edab9e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const Target &amp;target)'],['../namespacearm__compute_1_1graph.xhtml#a108f26d15227710831dbdb30e40e608e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const NodeType &amp;node_type)'],['../namespacearm__compute_1_1graph.xhtml#abcd88ed51472e534decef274fb32bcaa',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const EltwiseOperation &amp;eltwise_op)'],['../namespacearm__compute_1_1graph.xhtml#ab90b7a7fcc12792b0b6cb6486bb383dd',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1graph.xhtml#a6c721497fdfc121b38630f89b625ac39',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const FastMathHint &amp;hint)'],['../namespacearm__compute_1_1graph.xhtml#a36f71403d9328a10245a6d9d62518527',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const DepthwiseConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9a57b6c1d3a82001ad4f83676fbb9302',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a380fb68611f394f4f7525c463a3588dc',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, LogLevel level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab74cc570397d9855e79eb6cade93b3e6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, InstrumentsDescription instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ac9ba7d0cf26575884c0c2cfe5fb529b6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, LogFormat format)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a5d331575f41ec3bf8e31afce9a89cd2a',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, TestCaseFactory::Status status)'],['../namespacearm__compute.xhtml#af3985189d478b45014e7dead9d002e2a',1,'arm_compute::operator&lt;&lt;()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6d7586446a24baaa269c5f9a65ecd7f',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const AbsoluteTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e05c35e20ad8ca67a4fbdd57e33ac8c',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const RelativeTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1utils.xhtml#a24e5f40fb2db725a749dd5103ced9760',1,'arm_compute::utils::operator&lt;&lt;()'],['../namespacearm__compute.xhtml#a18d43401e8f84ed020429b41ec4e99f5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#ae8c2a3451bcf739a75aa7438e7a78d45',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#acec416ec5af175a7aad47a518fefb770',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#a295edc9f8caf95838db2c5e251153514',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#a5972c7131d378f567af9c2961f088a0b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WeightsInfo &amp;weights_info)'],['../namespacearm__compute.xhtml#a352b805b77fde4f32f44af271580677b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#af81bb4f87d418311c7ca43a28c74bf03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a59ea8b6694897a281eb3105f5c99f28f',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#a1a54a883f8acc0664accdae9bed93494',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#a32a5556a927543fe57c0d7b82c20e9b4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a9d79efe2673aeb3f9a9160b6a78de50c',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ActivationLayerInfo::ActivationFunction &amp;act_function)'],['../namespacearm__compute.xhtml#a2ab7370aab6e5698990c50c8871fa6fb',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormType &amp;norm_type)'],['../namespacearm__compute.xhtml#a6e422c610c91f611590173cd595c94c5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a336cf1e870f467e44c184587a13feeec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingType &amp;pool_type)'],['../namespacearm__compute.xhtml#ae72a61a2ca5c962ab1d37065e5598060',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a1698cb24508a2bc45962bc887f18a8d0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#adec19acb64bfca26fa53ef76f03b79ef',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayoutDimension &amp;data_layout_dim)'],['../namespacearm__compute.xhtml#a685af15532d70b8682bcc52f06f034f9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a3b22e54b0ac0204c3b89aebcd695fa03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Format &amp;format)'],['../namespacearm__compute.xhtml#aa66be15c012986ebd4c1934b97e08a36',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a7929032d41d5f23cd1778a70508d0219',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#af32c4c5cdd0efde09774eb803bc8a0bd',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#af15a06b73e1fde15f0809ce07bf1ab7d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a9caac285297030f50a972095e767aff9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Multiples &amp;multiples)'],['../namespacearm__compute.xhtml#a509047aefc691398f1bb60b1f967a98b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aab8eb6dc1ba89bb8a69f1c3845988a2b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#ab398837465010958bfccff032ad1ee51',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#a0fc75dce8064a37effa5e71344b6a5d2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a5fdae5de2d2cf2e7957f0299d17ce5ec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#a6ed8dc0f587448d14a1a33cbd5fc4f70',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#afc6e49991e36423027a467eab1e405b2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window &amp;win)'],['../namespacearm__compute.xhtml#a17881750c427aedd95deba46a4366ace',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Rectangle &amp;rect)'],['../namespacearm__compute.xhtml#a8af36ae3a3613112c3a95e57f606359a',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a4287c6842a60e5f6bf309e55f8813527',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a7b94aeca99a5d6b1a5723014a01faac0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ArithmeticOperation &amp;op)'],['../namespacearm__compute.xhtml#a292505a0ec686541cfe0dcfd1d651ec5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#aac34f5e54ad35f26328f8706b3d28b43',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComparisonOperation &amp;op)'],['../namespacearm__compute.xhtml#accfc6f2e5fb354e1fb19a7067b6efdec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ElementWiseUnary &amp;op)'],['../namespacearm__compute.xhtml#a9a2e48a508dc85b7280f955876bb4462',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const KeyPoint &amp;point)'],['../namespacearm__compute.xhtml#abe52a76af2aa88876d54ce8a5969e509',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PhaseType &amp;phase_type)'],['../namespacearm__compute.xhtml#a530d86eec3dbd22cab6336ffdceb0d37',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MagnitudeType &amp;magnitude_type)'],['../namespacearm__compute.xhtml#a5e7a61df2b926347b42ecadf8bcc8969',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGNormType &amp;norm_type)'],['../namespacearm__compute.xhtml#ab91d110e020f6ed987e05e82df3e350b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Size2D &amp;size)'],['../namespacearm__compute.xhtml#a4228b490e13b79a60737929d9d9e5957',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGInfo &amp;hog_info)'],['../namespacearm__compute.xhtml#abd35c1c3fb716078b1f4a25981defac4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#a1f4d95d65a62a085e929ab0a1a77add2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a907c93ba5daaabf6af7095f20340d024',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a28634df052522fe60e15a0128ba924cc',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionOutputLayerCodeType &amp;detection_code)'],['../namespacearm__compute.xhtml#a22b40e983993e76ab39ce878fb111b9b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionOutputLayerInfo &amp;detection_info)'],['../namespacearm__compute.xhtml#a8cfa7d498e60be008d557d025fe62ff3',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Termination &amp;termination)'],['../namespacearm__compute.xhtml#a2329ad899483ca80bbffd03a63da9f5d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a29cd1c3e1b33d61a479fa49465c5a7e7',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#ae7393414bb7b814bf70e0399f2347847',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#af3cba8a4493cee4c431d128eed565ffe',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WinogradInfo &amp;info)']]],
+  ['operator_3d',['operator=',['../classarm__compute_1_1_access_window_auto_padding.xhtml#ad38db221ef94b6cd0e73f5dfd743414a',1,'arm_compute::AccessWindowAutoPadding::operator=(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#a4bca6da5857d60a9565c60b483859208',1,'arm_compute::AccessWindowAutoPadding::operator=(AccessWindowAutoPadding &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_static.xhtml#a5c6934ef061e9aeaa31fa952c05e2730',1,'arm_compute::AccessWindowStatic::operator=(const AccessWindowStatic &amp;)=delete'],['../classarm__compute_1_1_access_window_static.xhtml#af5312479f43d5fd6c46e4e8473049847',1,'arm_compute::AccessWindowStatic::operator=(AccessWindowStatic &amp;&amp;)=default'],['../classarm__compute_1_1_program.xhtml#aa960ae62f188ce6593855ea9d90f3140',1,'arm_compute::Program::operator=(const Program &amp;)=default'],['../classarm__compute_1_1_program.xhtml#ac068143ead400561b25102c60ccd817d',1,'arm_compute::Program::operator=(Program &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a9729d318da4230e664a923d7419ddf10',1,'arm_compute::Kernel::operator=(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a22bb0cebcc049eac830795a517212f75',1,'arm_compute::Kernel::operator=(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_kernel_library.xhtml#a54fb81956f9fb1c25b279e34e1e7d966',1,'arm_compute::CLKernelLibrary::operator=()'],['../classarm__compute_1_1_i_c_l_array.xhtml#aefdb6cfe839aa0835406d5adcd37de5b',1,'arm_compute::ICLArray::operator=(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a23914bc8fc4d9bb6d4c58f8c0c399c58',1,'arm_compute::ICLArray::operator=(ICLArray &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0182f7f14809fcf8e7d1b9c8afebeafd',1,'arm_compute::ICLDistribution1D::operator=()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a580c5fa0472ca0d70b463da27803a264',1,'arm_compute::ICLHOG::operator=(const ICLHOG &amp;)=delete'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#acd0d52706236fd66484a6736d059c91c',1,'arm_compute::ICLHOG::operator=(ICLHOG &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a8740c6498dafc80428e500a056135bf1',1,'arm_compute::ICLLut::operator=()'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf',1,'arm_compute::ICLSimpleKernel::operator=(const ICLSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#affc101ff7826063a907b73a062e80216',1,'arm_compute::ICLSimpleKernel::operator=(ICLSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#af72219f9b5e8803950eb8863a23c076e',1,'arm_compute::ICLTensor::operator=(const ICLTensor &amp;)=delete'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a6a7368baa4f8580ea732b2a352217b80',1,'arm_compute::ICLTensor::operator=(ICLTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a71db1bd13fefa2e7fda34b8fffa4a863',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(const CLAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aef45d046af467d9d202a92b2824664a5',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(CLAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a504ac5c99ccc4bd0131d68c40502e48f',1,'arm_compute::CLActivationLayerKernel::operator=(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a990cf59e8f064a009fd46bfd2f0b6890',1,'arm_compute::CLActivationLayerKernel::operator=(CLActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ac53e223f283d620ddde6084c93bf7e41',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(const CLBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a024a45436020d3890ede950c7811d472',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(CLBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7be61da82ec2dd91d19568ded3245aae',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(const CLBatchToSpaceLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a1dea04f3a69c27a284a240301e3a0e4b',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(CLBatchToSpaceLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#aa172a2abdd7040105f2be39a50f6cff2',1,'arm_compute::CLBitwiseAndKernel::operator=(const CLBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af31b1a5d8ec88a34da6d60ba2314dde1',1,'arm_compute::CLBitwiseAndKernel::operator=(CLBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#abcfb652670535dad6ec571b3b82495f4',1,'arm_compute::CLBitwiseOrKernel::operator=(const CLBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a471cff5db30df694b97fbba067271ac0',1,'arm_compute::CLBitwiseOrKernel::operator=(CLBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#ab169d4a7c722602e5952cc2a06bf38b1',1,'arm_compute::CLBitwiseXorKernel::operator=(const CLBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a2d8ca31390ad9b7a4fdef983e1ff5856',1,'arm_compute::CLBitwiseXorKernel::operator=(CLBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a8624fa8851bcb25ed99592ffc6c4ca72',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(const CLBoundingBoxTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a37f2c72d789f262cd5d5da4d553d1d3b',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(CLBoundingBoxTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a86852428dd2f3c69bd0639568c2685f8',1,'arm_compute::CLGradientKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#aaa7e7959c4a5ab3705e79d81a7e94f1d',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#ae4e8839e52f8f14feef09d819170b40d',1,'arm_compute::CLEdgeTraceKernel::operator=()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#acbed32f07c42524f3ba442584961662a',1,'arm_compute::CLChannelCombineKernel::operator=(const CLChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a0d6c1f9be7a8c0e35a438ef7b01227f8',1,'arm_compute::CLChannelCombineKernel::operator=(CLChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a9b79b58e02befadc03a8efa21453cc6d',1,'arm_compute::CLChannelExtractKernel::operator=(const CLChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a3903cf5b0f5ffd0687b19d45a39bfb72',1,'arm_compute::CLChannelExtractKernel::operator=(CLChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a91eed753a7a5519fae24b0a5c521de68',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(const CLChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a4b92456faa23eb343f8c28949c598871',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(CLChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ac0fc2aadef37fa6f20657e42b209ca62',1,'arm_compute::CLCol2ImKernel::operator=(const CLCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ad329e4f461dd51b4bc5d1cd012cfaa70',1,'arm_compute::CLCol2ImKernel::operator=(CLCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a9896faa16e3d99ed942eb845dfe41f2e',1,'arm_compute::CLColorConvertKernel::operator=(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#ab3eb38ca98e94de0917a74b8d7d47061',1,'arm_compute::CLColorConvertKernel::operator=(CLColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a50ebeeea386211a648f73bde01fdd55c',1,'arm_compute::CLComparisonKernel::operator=(const CLComparisonKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a44e9e18934a2d89fe08eacdc402240ce',1,'arm_compute::CLComparisonKernel::operator=(CLComparisonKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a15e6fb3b62f2b84abb66d48c9157eabf',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(const CLConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a900366205ae372112b90c578e34a553d',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(CLConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#afce1f7a8135ce82d5e12342bb05f8448',1,'arm_compute::CLConvolutionRectangleKernel::operator=(const CLConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#ac746b3604d6b86789f4c817e095f9147',1,'arm_compute::CLConvolutionRectangleKernel::operator=(CLConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a00d2baeddfb23da246992686b4fec2d8',1,'arm_compute::CLCopyKernel::operator=(const CLCopyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#af20173d205e0c28af1a40a28c3620646',1,'arm_compute::CLCopyKernel::operator=(CLCopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#aa537afa3c8d990b39f5faa108ae7d981',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(const CLDeconvolutionLayerUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a928c6fcbc7c772895ea482d094a95ff7',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(CLDeconvolutionLayerUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a9a9999a79bdc4e5a8fdf8192b08aeb9b',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(const CLDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a19ef5eeb9a2d0503da3c57a73dcc17f2',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(CLDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a79194144da7865f7d117290f5aa69ed1',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::operator=(const CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a80b7aa89e697b783a7d9bd7a2ed9be40',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::operator=(CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#ae4fd78624e256c6f29c28c10a6e64c72',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::operator=(const CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a365e484d7f675f11e76891b52c3dd2ad',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::operator=(CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a0a10e55699b26afdf2fbf336dc9cad09',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#aa0b00eedd537493835dab315bd459441',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(CLDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a992e1f35a42f71981ee6e0846246a292',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a80467a8f9130ad9bcf8935c86c17b8b9',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aff837b05d92559e38076cb7a995f73fb',1,'arm_compute::CLDequantizationLayerKernel::operator=(const CLDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a262e0cb2fe628b335836c5386c467001',1,'arm_compute::CLDequantizationLayerKernel::operator=(CLDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a3ef5b9e1c310e83a57980bb4f897283a',1,'arm_compute::CLDerivativeKernel::operator=(const CLDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#aceb0191986422c3fcc97f2e9ed9fe15c',1,'arm_compute::CLDerivativeKernel::operator=(CLDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(const CLDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a46ab1c9fbed755d1da9729a47e6fbab2',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(CLDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a957a42f9679f5c4f84a88c16f263dd29',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(const CLDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ad63ed50363b89a76c3502ad955abbce3',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(CLDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#af055f3fd57c30370ea9553962a287923',1,'arm_compute::CLElementwiseOperationKernel::operator=(const CLElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a24a0d3c201954be5e8d230df665194e4',1,'arm_compute::CLElementwiseOperationKernel::operator=(CLElementwiseOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac5e031f7c81be9bbac3372bb6edbd344',1,'arm_compute::CLFastCornersKernel::operator=(const CLFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac64dcd555f8756462b629bf58a28bfc3',1,'arm_compute::CLFastCornersKernel::operator=(CLFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a8c3e5f7865d66adaa39c33a83211f261',1,'arm_compute::CLCopyToArrayKernel::operator=(const CLCopyToArrayKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a09ceae93051ead63b10d88903c5a62be',1,'arm_compute::CLCopyToArrayKernel::operator=(CLCopyToArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a569042df5e874046fe622b6723289a86',1,'arm_compute::CLFillBorderKernel::operator=(const CLFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a8c127ae32e8e5fa6bab31910663bcde1',1,'arm_compute::CLFillBorderKernel::operator=(CLFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a547fcc142c47e9284b13bb679d902120',1,'arm_compute::CLFlattenLayerKernel::operator=(const CLFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a4e5ebebe67c530d0b358f4d6ccc89206',1,'arm_compute::CLFlattenLayerKernel::operator=(CLFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#af3d454b9904ea4bfa1effa73f766f41e',1,'arm_compute::CLFloorKernel::operator=(const CLFloorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ab55062eca1a3b9d5b1810bfb19843d42',1,'arm_compute::CLFloorKernel::operator=(CLFloorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a08f7ccb24ba2a9cc1ee843491fb6a875',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a4061297ca889d5ea28b487e092fac198',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(CLFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a74c4f575efc29b11e3069bb5f8ecb8c5',1,'arm_compute::CLGatherKernel::operator=(const CLGatherKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a93babbb8c4fde8b36d6b2627d36bd153',1,'arm_compute::CLGatherKernel::operator=(CLGatherKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aab322f707d331394f70405702b43378a',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(const CLGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#ae05299dbd8e52799fc34298966f0375d',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(CLGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abd272921b9c15f9200c94898879f156a',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(const CLGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a587092ed39eaf708edbaa65e2e656ac3',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(CLGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56008f3777b30dc6b002815c904a9c34',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a156b6ea0879f0350c72168e647aa58a5',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(CLGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af520778a23d6716080043321d07e9999',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af7290399a051e470ba52daadd8d7f968',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#af59085fc55bc96e5d8d242f1d9d6c42c',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::operator=(const CLGEMMLowpMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a68c37df2276993293b1975628398853a',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::operator=(CLGEMMLowpMatrixMultiplyReshapedKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a390552e0764d82400a910a18f3125299',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab2da8b158ac7059e84216ccdd38f2b20',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a717304a5652e324bc87586d3519518f5',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(const CLGEMMLowpOffsetContributionOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a07c632f602ba0c91be2328f2886c834b',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(CLGEMMLowpOffsetContributionOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a7cf7a001868fee687f4a6c8c3e794c8a',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a75378ca49800584eed6b3b2a7c1e80bb',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a0ca9ff96e804cc85719fdc1d668bddd2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a9076548cad19d01f077b13e9ed54e37b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a7e7357c847e9af3e3a423337c214dc21',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebe9950fc2003dbfd02b8b35db24b241',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a6ca497447b2d21dc65ea3601acbff855',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(const ICLGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a0d0f77ea73cb516c01a3d82f112ac023',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(ICLGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a4d63931364ae453852888a37f13eac8b',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(const CLGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ada53e19e832615ed9f424882d6d10df8',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(CLGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a6a78d63356d86ecf8e1ecd5b293087b8',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(const CLGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a85e8d5b8770128980c3fe00b25f6c8a2',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(CLGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aea377825b4153d8ea48905038cbb0ff1',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa158230a3f3ea998530f91a14bb8e5a2',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5cbfc1be8e84436d97e5ba33b80987a3',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::operator=(const CLGEMMMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a8348fe0cf027481b1eb16a091bf25388',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::operator=(CLGEMMMatrixMultiplyReshapedKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a8f6e00ff276bd98aaa4e791827a37832',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a1fa238f2d07ac54dec7dd391fe0f189d',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ac76735e0bb79aef97e96dd4c3d2f1909',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::operator=(const CLGEMMReshapeLHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ae6390852e3e6fb9761855cd12797cfb3',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::operator=(CLGEMMReshapeLHSMatrixKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#ae14d730aaac147174e1dba27b30a09f7',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::operator=(const CLGEMMReshapeRHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a56135e2f03400627b69bb1d71ab2f18d',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::operator=(CLGEMMReshapeRHSMatrixKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8f0a6bef58a1764ea6c38bc5facd8afd',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(const CLComputeAllAnchorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#ac74a747c507f9fa4f5bb703af980b029',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(CLComputeAllAnchorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a63257c15c82612674763a6d3333f1bd6',1,'arm_compute::CLHarrisScoreKernel::operator=(const CLHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a211406d60b24c4c7cc91cfb9062b71bd',1,'arm_compute::CLHarrisScoreKernel::operator=(CLHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#aa829a82c818f626213fd9bc071609261',1,'arm_compute::CLHistogramKernel::operator=(const CLHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#ac3d5f20bb919a975158ebaec91678b4f',1,'arm_compute::CLHistogramKernel::operator=(CLHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a2ca23ba242845400753a7a7e16dfd679',1,'arm_compute::CLHistogramBorderKernel::operator=(const CLHistogramBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a33342ad689f7359f1f1ac0576f0f4dda',1,'arm_compute::CLHistogramBorderKernel::operator=(CLHistogramBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#ab44e37937fd28a195ac52610b928b30e',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(const CLHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a130adf577eac62f41012daf42b23fc43',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(CLHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a2ca01c73542762846c37676789d69b5a',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(const CLHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae9efd0c575b2ccb193e1ad57026bb08b',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(CLHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a60f2e39807c636c8a787ae84ffadab38',1,'arm_compute::CLHOGDetectorKernel::operator=(const CLHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ab6b59ab8048946cf548b468b74cb7724',1,'arm_compute::CLHOGDetectorKernel::operator=(CLHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ac09104c975cb1ca9ad434c325be80e56',1,'arm_compute::CLIm2ColKernel::operator=(const CLIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad4b22573444ce7770618109732fe89fa',1,'arm_compute::CLIm2ColKernel::operator=(CLIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#af23b6173ce52f9c45601cea986114927',1,'arm_compute::CLIntegralImageVertKernel::operator=(const CLIntegralImageVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#ab4f161672ed88d4b2322e14d6923b4d6',1,'arm_compute::CLIntegralImageVertKernel::operator=(CLIntegralImageVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a652669238486d0d24c8bb110128dd09f',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(const CLL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ae5f2725a76406a68298da1e0618a8660',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(CLL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ac1a27a3a3f960b210716d8103c0b8d91',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(const CLLKTrackerStage0Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ab99cff1eafa85b4d0d32c5f0a9559111',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(CLLKTrackerStage0Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a0226443ff006bea34e6bbcb1fbff2422',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(const CLLKTrackerStage1Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a4f1ff65bdc81c14c9e9138d2d63aaece',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(CLLKTrackerStage1Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0cc875c804d3f82bd6eba503ede72a86',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(const CLLocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a901e93e5cfab9384f4cb0cdbe1349284',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(CLLocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a11f21edc185eb160e844aa0c4ca9c29a',1,'arm_compute::CLMagnitudePhaseKernel::operator=(const CLMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#adb678b97316f473c8134729d88d22513',1,'arm_compute::CLMagnitudePhaseKernel::operator=(CLMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ae9fa6f33d1193d47d77210d69ef74c7d',1,'arm_compute::CLMeanStdDevKernel::operator=(const CLMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ab656ceff38e0df4b5a5806e4f5eb67b3',1,'arm_compute::CLMeanStdDevKernel::operator=(CLMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a38771bb79f047fd0cd047b0a0cd5b245',1,'arm_compute::CLMemsetKernel::operator=(const CLMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a4c4ca836fbfad3983d37efde00063ee4',1,'arm_compute::CLMemsetKernel::operator=(CLMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a2111986a65074c1c464fe004b34d303c',1,'arm_compute::CLMinMaxLayerKernel::operator=(const CLMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#adc91b3c9c817c311cb61cc7b2b3259c2',1,'arm_compute::CLMinMaxLayerKernel::operator=(CLMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a9e34fe76534c1b75dfcb2f92acb16ec6',1,'arm_compute::CLMinMaxKernel::operator=(const CLMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#afbbcf7cebd0e8f3d28e4ffe74e6dfc16',1,'arm_compute::CLMinMaxKernel::operator=(CLMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#af478eeb354cb68fe0933f9f8b7e467e9',1,'arm_compute::CLMinMaxLocationKernel::operator=(const CLMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#abdf07fb560e5e5fc1a40f31826eef74f',1,'arm_compute::CLMinMaxLocationKernel::operator=(CLMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#afde39cdaeb3b4e6d1569ef49f70ccd5f',1,'arm_compute::CLNormalizationLayerKernel::operator=(const CLNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ac8bd4f3203d36457dc9968941e068e75',1,'arm_compute::CLNormalizationLayerKernel::operator=(CLNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ab690b48ceccc9c820cf866287beb5b29',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(const CLNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a2048b80d6029b907235324d9ad2c6426',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(CLNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a8137811e0b9ccdf37b28d9498b336d89',1,'arm_compute::CLPermuteKernel::operator=(const CLPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#ae18c4f52bb3f51d3bc82406baa7538fb',1,'arm_compute::CLPermuteKernel::operator=(CLPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a68ae410a0d979d2c897d840c6749e50c',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(const CLPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a18767cd831fa27f6c0d28e847509b4cf',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(CLPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1c744387eb6e27f11fed9e0383ff55b2',1,'arm_compute::CLPoolingLayerKernel::operator=(const CLPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#adf693cc1bc9aaacdfaa73e1309f4c0b3',1,'arm_compute::CLPoolingLayerKernel::operator=(CLPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a5f547852d370af5671f98d9c82d11236',1,'arm_compute::CLPriorBoxLayerKernel::operator=(const CLPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ae8c21a2324c7a6547560d9da43339ef3',1,'arm_compute::CLPriorBoxLayerKernel::operator=(CLPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a8f28dbe7a21f5ae5c54776d1953f3d39',1,'arm_compute::CLQuantizationLayerKernel::operator=(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ad4c3fe05fa833af7ab12dbd4b55a9930',1,'arm_compute::CLQuantizationLayerKernel::operator=(CLQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a1f1b7ad0df178d4e0656ad22db60a691',1,'arm_compute::CLRangeKernel::operator=(const CLRangeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a68f914334337780b397ae7e25dbb7097',1,'arm_compute::CLRangeKernel::operator=(CLRangeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a95cef45f3f6052814aeb093568822559',1,'arm_compute::CLReductionOperationKernel::operator=(const CLReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#ad350df13bf68e7094f25f4f412d08707',1,'arm_compute::CLReductionOperationKernel::operator=(CLReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a1657579b2ba3f0821766eb468f0e372e',1,'arm_compute::CLRemapKernel::operator=(const CLRemapKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a5d629728142cf99ccea7c59faf2be6e2',1,'arm_compute::CLRemapKernel::operator=(CLRemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a6fefdf5ae18cbcc448ca91fd09e9fc49',1,'arm_compute::CLReorgLayerKernel::operator=(const CLReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a7a904807891e2b844f4d5b4dbe8f4d3e',1,'arm_compute::CLReorgLayerKernel::operator=(CLReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a20996021bba3428035ada51f7cdca359',1,'arm_compute::CLReshapeLayerKernel::operator=(const CLReshapeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a7accccef6f0a0cbebdb9c207253172c3',1,'arm_compute::CLReshapeLayerKernel::operator=(CLReshapeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a88da499dcf01471132f67e16be4128b9',1,'arm_compute::CLReverseKernel::operator=(const CLReverseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a561bd11761b48a5705981c37e13dfedc',1,'arm_compute::CLReverseKernel::operator=(CLReverseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a1c8025fb6e9da7cb8ca56da6456dfa4f',1,'arm_compute::CLROIAlignLayerKernel::operator=(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a3e59aaa873469ec951cd955115e84847',1,'arm_compute::CLROIAlignLayerKernel::operator=(CLROIAlignLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#adb81e0c5b82b5e7c586233bd3799aa8e',1,'arm_compute::CLROIPoolingLayerKernel::operator=(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2a999ff20f3b296c116c040022a205cd',1,'arm_compute::CLROIPoolingLayerKernel::operator=(CLROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#af2d37653c2c381ce8c52df533490f2c5',1,'arm_compute::CLScharr3x3Kernel::operator=(const CLScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a2f87eef8bcf07faa1c31afe31c26e2cd',1,'arm_compute::CLScharr3x3Kernel::operator=(CLScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#ab55ba307bca19fe4a4ce472f75f49cbd',1,'arm_compute::CLSelectKernel::operator=(const CLSelectKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#aec9448a9683d66256b1c4b0f469f2dfe',1,'arm_compute::CLSelectKernel::operator=(CLSelectKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab30b6bb92fb3a1cb0cda6dc08e9fa160',1,'arm_compute::CLSobel3x3Kernel::operator=(const CLSobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a74e510ea252d0a53cbe946c4d5914b3e',1,'arm_compute::CLSobel3x3Kernel::operator=(CLSobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a0d2de1f5a7010147dc1d6c11eaaeda37',1,'arm_compute::CLSobel5x5HorKernel::operator=(const CLSobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ade7e08981757581d709d549c627a67bf',1,'arm_compute::CLSobel5x5HorKernel::operator=(CLSobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#abc8c95a4a6d95911a79340b6015fa70c',1,'arm_compute::CLSobel5x5VertKernel::operator=(const CLSobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a708f74ad4e821b4a14cadbbc370d9124',1,'arm_compute::CLSobel5x5VertKernel::operator=(CLSobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ae61ba8aa03f08b69195f20c2c1c4d4ef',1,'arm_compute::CLSobel7x7HorKernel::operator=(const CLSobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ace492ec10b45b7c035ed6b3dac8304c1',1,'arm_compute::CLSobel7x7HorKernel::operator=(CLSobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#afa6becd7a5a59d6853e0f447ba231ac4',1,'arm_compute::CLSobel7x7VertKernel::operator=(const CLSobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a9eff4ccf54e197ca085e6a1863833cd9',1,'arm_compute::CLSobel7x7VertKernel::operator=(CLSobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(const CLLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa21cdfff7db54a9881b8220949436309',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(CLLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(const CLLogits1DMaxShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac7ea34435f64f3e3dce08ab0ce67295e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(CLLogits1DMaxShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980',1,'arm_compute::CLLogits1DNormKernel::operator=(const CLLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a31f1716a5e72003da8fcdbc0a2dec73a',1,'arm_compute::CLLogits1DNormKernel::operator=(CLLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#af040c2d971d4d1f783e5ebf8303122e3',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(const CLSpaceToBatchLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab560f4c6e6136bb2b1cb7cba49c757de',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(CLSpaceToBatchLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a86937b7a4f48ee8635490a18e9f05a21',1,'arm_compute::CLStackLayerKernel::operator=(const CLStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a2efb604498b8a825a240ec2c2d941f80',1,'arm_compute::CLStackLayerKernel::operator=(CLStackLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a519a6c648a112bd2b51216d8d1907b18',1,'arm_compute::CLStridedSliceKernel::operator=(const CLStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a14f2152dafa1ed64e1c87eb9f61e86c5',1,'arm_compute::CLStridedSliceKernel::operator=(CLStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#ac30ac9c9939bc24d7bea2bb5ac7bfe17',1,'arm_compute::CLTileKernel::operator=(const CLTileKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#afce28c97205f11dfa69274009654de8d',1,'arm_compute::CLTileKernel::operator=(CLTileKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a4581d7592c6375980e6a04fe68e10a25',1,'arm_compute::CLUpsampleLayerKernel::operator=(const CLUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a17d050562782477d758e907c70fa09d0',1,'arm_compute::CLUpsampleLayerKernel::operator=(CLUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#ad012198a049187b766ca44b356821918',1,'arm_compute::CLWeightsReshapeKernel::operator=(const CLWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#afd2802b8c9343ee51ac62d3e6bab3963',1,'arm_compute::CLWeightsReshapeKernel::operator=(CLWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a3b3917731ac9aba105792209b0e23677',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(const CLWidthConcatenate2TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a9474659ca4a4bf972731b0465dd28afd',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(CLWidthConcatenate2TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#aa6b612ddbb80c07e294cd38a3f6534d2',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(const CLWidthConcatenate4TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a26b9ccaf52c73ed92fc20f8456315592',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(CLWidthConcatenate4TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a1fb3614a59bd2812e4e44947306051a2',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(const CLWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a2da2588ff735dc5b86d33baa97234296',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(CLWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#af12f1ad3a511ea77d45654597e7a6b0b',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(const CLWinogradFilterTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#adf555d4955247783d3e3e8506234ef11',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(CLWinogradFilterTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a7ba7ccf488268bb2ba45a37165253e41',1,'arm_compute::CLWinogradInputTransformKernel::operator=(const CLWinogradInputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#af0e852f9a86d26e1f51e61e5d9b3ef47',1,'arm_compute::CLWinogradInputTransformKernel::operator=(CLWinogradInputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#ac81bc0447feaef35a4b1283d74f50b0d',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a2583a38f8ba480034d2e508a000249b9',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(CLWinogradOutputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a2e9b7d514627ea7b6bb9322dafe11c88',1,'arm_compute::CLYOLOLayerKernel::operator=(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a3bebc7ced7278e51b1feaf0d4bb71306',1,'arm_compute::CLYOLOLayerKernel::operator=(CLYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ac05f0cf4a83538e71417dc03ec328632',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a27cffe0da493a7c23c129be3f9daa03b',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(ICLDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a5b213c889050bc3844bdf110f34f602d',1,'arm_compute::Coordinates::operator=(const Coordinates &amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a9083bc0216aad5dc437d5e42d80b1061',1,'arm_compute::Coordinates::operator=(Coordinates &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_u_info.xhtml#a5c8dff64ce1ad7bdae70879024bde002',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;cpuinfo)=delete'],['../classarm__compute_1_1_c_p_u_info.xhtml#a4cacb98f89ed3d565b7b7e4dc39e7295',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;&amp;cpuinfo)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000',1,'arm_compute::ICPPSimpleKernel::operator=(const ICPPSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036',1,'arm_compute::ICPPSimpleKernel::operator=(ICPPSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ad5e0e714da35f6f95b10c19b9a59e700',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a757b938386040ccf9f1219dc85a2e78e',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a8a61183b7dece994182972d9fede3207',1,'arm_compute::CPPCornerCandidatesKernel::operator=(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a33895b1114dec6ea25e4f5e8e2468c85',1,'arm_compute::CPPCornerCandidatesKernel::operator=(CPPCornerCandidatesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#aa5182561cc171d1c74872e91fdb2d7fb',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#abc2f7094d5e8e45b4775d302fb43dae2',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4794e75ab5c5cea7d94a176b7c7ad363',1,'arm_compute::CPPFlipWeightsKernel::operator=(const CPPFlipWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a58d226da7dee0509f9f9977bf83f1f0b',1,'arm_compute::CPPFlipWeightsKernel::operator=(CPPFlipWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a2c787fefc7ee52b787ffd59a50960e2c',1,'arm_compute::CPPPermuteKernel::operator=(const CPPPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a590793a033bdef7868ed0454d91131ee',1,'arm_compute::CPPPermuteKernel::operator=(CPPPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aef5933e70f775b33c06ddc6c3d0cf8b6',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a354351e1f7d4fd2e368e9bd500f26333',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(CPPSortEuclideanDistanceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a085ef1260c1146794c40e83b13a09199',1,'arm_compute::CPPTopKVKernel::operator=(const CPPTopKVKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a886642a4cd5a90d8f83fca0f98677471',1,'arm_compute::CPPTopKVKernel::operator=(CPPTopKVKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a52da9c61c30da42133ca5db7580f2afa',1,'arm_compute::CPPUpsampleKernel::operator=(const CPPUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a9ef61e2406041809b7b47b894e95c281',1,'arm_compute::CPPUpsampleKernel::operator=(CPPUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903',1,'arm_compute::Dimensions::operator=(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a80565e11a35c48747bcc2cba06931e20',1,'arm_compute::Dimensions::operator=(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1_status.xhtml#a78472b791f38ec7cdd75ee9de6e1e349',1,'arm_compute::Status::operator=(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a0e94f86f3b38636473259a2156673d0d',1,'arm_compute::Status::operator=(Status &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a4212dc2dbdd340faeba056d37cb912de',1,'arm_compute::GCProgram::operator=(const GCProgram &amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a7792915d53fb314715e22f350a174072',1,'arm_compute::GCProgram::operator=(GCProgram &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#af29ae815590ed07fc2ce2dc3f77a23a7',1,'arm_compute::GCKernel::operator=(const GCKernel &amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#ab3eebd489d16da5b5f3378781df02052',1,'arm_compute::GCKernel::operator=(GCKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a10dbce17f04221f2d1fcd3c0a91b4d69',1,'arm_compute::GCKernelLibrary::operator=()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a10d2c80e7afcb7ae1ad42ff9a649a915',1,'arm_compute::IGCSimpleKernel::operator=(const IGCSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a90f6f44d1fbbe0d2261d81f4e9f1ff7e',1,'arm_compute::IGCSimpleKernel::operator=(IGCSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a53ba7801ed7dbf945a0413addd6dc990',1,'arm_compute::IGCTensor::operator=(const IGCTensor &amp;)=delete'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#aa49cf1d6ea350774509911cad4903ad6',1,'arm_compute::IGCTensor::operator=(IGCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a341fc3300b747bccccae264218383ce8',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(const GCAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aec3a5cc14dd9d7093349b16a21b72948',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(GCAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#af9659679b5b61ba3238c0b8ab685d469',1,'arm_compute::GCActivationLayerKernel::operator=(const GCActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a021bcf856f494b4d1569842b82962015',1,'arm_compute::GCActivationLayerKernel::operator=(GCActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a9193b176607dbe93c0f60c975d8c2b84',1,'arm_compute::GCArithmeticAdditionKernel::operator=(const GCArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a2c4a1b2129be6a61aac9c389441e70f0',1,'arm_compute::GCArithmeticAdditionKernel::operator=(GCArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a83290f6748e18cbaa52313b345fcacd5',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(const GCBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#aa89e50b4172bb1f0ab4712896f34e885',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(GCBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a5c234c52d6c2f50c3a0f83a79071d7da',1,'arm_compute::GCCol2ImKernel::operator=(const GCCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3d2fb6048605f513582e658151fa640e',1,'arm_compute::GCCol2ImKernel::operator=(GCCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#ab9afd62b3b6a2b37c662e93d276c6f76',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(const GCDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#abebfa51ee1624b9c33e0b3b6fc4fc202',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(GCDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a169af81ccfe8f51bf4376f72e74fa23a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(const GCDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#af522b540d8a70a98963dffa84ec2df5a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(GCDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#accde1890da46aed35c37db0e03b2a011',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(const GCDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a3129db689f08b45abec9f42b27d4ceb6',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(GCDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#ab459f437a1e4c3b0ee7d849879d57012',1,'arm_compute::GCDropoutLayerKernel::operator=(const GCDropoutLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#aacdb813a758a3fc5f2464d679356b085',1,'arm_compute::GCDropoutLayerKernel::operator=(GCDropoutLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8c1e52332794c1706023bf8efc93bc5f',1,'arm_compute::GCFillBorderKernel::operator=(const GCFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#acef762b66d27f0589c993da6ec06ff2e',1,'arm_compute::GCFillBorderKernel::operator=(GCFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a7e17e417d15e88ba90a874bdf0b105c9',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(const GCGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#ae40506b47d5a95a953427852f39571ac',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(GCGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a9513ed3df777b10a19441a5d59f82eed',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(const GCGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8cbd9cba305baa997084f8a359492e7b',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(GCGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a84753584506a324bcd5c40cdfd6fe521',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(const GCGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a0ef270dfa14ee22080a71a44481846f6',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(GCGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a0b0ecc60be6600a55aa46dffaa803ed9',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(const GCGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6cda598544253c29aec8f10ea78a8aed',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(GCGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a430228b1b1392252b298974038b69abd',1,'arm_compute::GCIm2ColKernel::operator=(const GCIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#ab34fe16c3f4d185089ed17c0ca3d6409',1,'arm_compute::GCIm2ColKernel::operator=(GCIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a654e750446716bbc3cfdda541a95a5e2',1,'arm_compute::GCNormalizationLayerKernel::operator=(const GCNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a94528df83e5f7552728ff1e66deaaa88',1,'arm_compute::GCNormalizationLayerKernel::operator=(GCNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae6c636adc42a8a07519df0e5e3896d03',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(const GCNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ab1305e3818a2cd8b900a09acde54b4d0',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(GCNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#ab6756c0089b63f226e1a1ee5a072b07c',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(const GCPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a61ec20b184dc58b8e5ede8723b1c0790',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(GCPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a17195b1300a741bd454e3ff93781a0be',1,'arm_compute::GCPoolingLayerKernel::operator=(const GCPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a4526a56a55cab0233391eca62d7735b2',1,'arm_compute::GCPoolingLayerKernel::operator=(GCPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a54c5d88e282d0d6a6220319bb109e83a',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(const GCLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#af0b18929f9f4da6843e93ced4d7e4025',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(GCLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a9c8fd9d3157b389f42b6e44bad2d6ff9',1,'arm_compute::GCLogits1DNormKernel::operator=(const GCLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#abaf58c95d3e455c38ef3cbd91ef394d1',1,'arm_compute::GCLogits1DNormKernel::operator=(GCLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a1c1b2c1a3c18aac3c783714eb4f4bf2b',1,'arm_compute::GCTensorShiftKernel::operator=(const GCTensorShiftKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#abd8d9f6a333bdf37f9e18c2ddaad68e0',1,'arm_compute::GCTensorShiftKernel::operator=(GCTensorShiftKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#acb4ba5202d64ea2750e8322ec662b1c6',1,'arm_compute::GCWeightsReshapeKernel::operator=(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a99c47a7a9d764cf2d58241df2a24bbea',1,'arm_compute::GCWeightsReshapeKernel::operator=(GCWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a64f60c469394d4f5f621546fc3108590',1,'arm_compute::HOGInfo::operator=(const HOGInfo &amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a3f48ffe9fe37db10eb23de67101c1500',1,'arm_compute::HOGInfo::operator=(HOGInfo &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_rectangle.xhtml#abdf21e65ee4cc7cf79a43e3de64dcc7e',1,'arm_compute::AccessWindowRectangle::operator=(const AccessWindowRectangle &amp;)=delete'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a21ab33d8ab185c1321f4c213335e6802',1,'arm_compute::AccessWindowRectangle::operator=(AccessWindowRectangle &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a5d6e77370a140f10010d3cb9e2a11857',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(const NEAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#aa288278807596db819a0bb3336f6b87c',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(NEAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a87da26ad3d611150ba40ff38f4085cb5',1,'arm_compute::NEActivationLayerKernel::operator=(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a0a42b3e7cc978aad3281a4a38e277907',1,'arm_compute::NEActivationLayerKernel::operator=(NEActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a1a359a25f8e2d5b781df6fe2ccfc09a2',1,'arm_compute::NEArithmeticAdditionKernel::operator=(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9095b3a8068080cd67214ffac9cbb7f8',1,'arm_compute::NEArithmeticAdditionKernel::operator=(NEArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#abaf3795e8b23cb20a57d6fbc2250b4f2',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(const NEArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aa67dba4afaf72f6df5662cb6d7df76d3',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(NEArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(const NEBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ae8298898728d539d56119daa4424e10a',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(NEBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#afb66e99bd8740b60d7bfd59a95af23d4',1,'arm_compute::NEBitwiseAndKernel::operator=(const NEBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5a50f6206108bf3abf3b3addfa7ae73',1,'arm_compute::NEBitwiseAndKernel::operator=(NEBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a28f175e22ab8ad069112ccdaef01f50d',1,'arm_compute::NEBitwiseNotKernel::operator=(const NEBitwiseNotKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a237559c92d41048f88e3eb997e05294f',1,'arm_compute::NEBitwiseNotKernel::operator=(NEBitwiseNotKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a5d760acdcf6781fb383167594dc296eb',1,'arm_compute::NEBitwiseOrKernel::operator=(const NEBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a6a7df384121b0a711cbd580a480906a6',1,'arm_compute::NEBitwiseOrKernel::operator=(NEBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a7fd5d2db21a7b6f3d04b99eff7a65652',1,'arm_compute::NEBitwiseXorKernel::operator=(const NEBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa74a2c630bfd78719c0f1f05ffc337f4',1,'arm_compute::NEBitwiseXorKernel::operator=(NEBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ac9fb1a343e29082ecd7ffaa0216dcd35',1,'arm_compute::NEGradientKernel::operator=(const NEGradientKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a77d401f1799eff9f50baca598c912801',1,'arm_compute::NEGradientKernel::operator=(NEGradientKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a5f1f723a41130cb9ff98478cd958ac28',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a6fcd697a53de530052da4ffd113d1dd9',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4c827d25ce4451de792fa939a61402b5',1,'arm_compute::NEEdgeTraceKernel::operator=(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a2ef3350848cbf1f21b6eaba6dca4ec1b',1,'arm_compute::NEEdgeTraceKernel::operator=(NEEdgeTraceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#af7fa6b6b40f275e2f6f0afdf42aa6130',1,'arm_compute::NEChannelCombineKernel::operator=(const NEChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4dfea5b19ebe5e46148a63af9fdbc5db',1,'arm_compute::NEChannelCombineKernel::operator=(NEChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa8e7c7a49ee3042eba01b2b7c0284f8c',1,'arm_compute::NEChannelExtractKernel::operator=(const NEChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#acf451199b29e2a9a737419455bd55757',1,'arm_compute::NEChannelExtractKernel::operator=(NEChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#aba3df1c48025933b76fcdf8006e40be0',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(const NEChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a142e9c7abcda0297be54e29344121c71',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(NEChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#aaf4d8c425a336a01399b68cd46ef3467',1,'arm_compute::NECol2ImKernel::operator=(const NECol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a792c2be01569939e6d09097bf3e72994',1,'arm_compute::NECol2ImKernel::operator=(NECol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#abcba384fd1d11e611380b5751fd1b112',1,'arm_compute::NEColorConvertKernel::operator=(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ad45cf44ba984cab65018746c5dd0220c',1,'arm_compute::NEColorConvertKernel::operator=(NEColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a5d2dd5cf486c0e0093d70cf71bb1c6f5',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a63937646418861abc1a4c0293603720a',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a098833ba328ff07d483f4d8af88ee9f8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83f9b3e1b738f05c859bd919a96450e9',1,'arm_compute::NECopyKernel::operator=(const NECopyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a856f8155b59c602246ed14b348193357',1,'arm_compute::NECopyKernel::operator=(NECopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ad1f6a0449f8106bc3c4a46b784455f2b',1,'arm_compute::NECumulativeDistributionKernel::operator=(const NECumulativeDistributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a7c095c1b8d17cdebc2135d8d5f9d17a9',1,'arm_compute::NECumulativeDistributionKernel::operator=(NECumulativeDistributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a62f3ade94d8143b81d7b803d46ff791e',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(const NEDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aea34561bcec07b7c8c97836fd2b85048',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(NEDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#aa46940ddca6a4c314bda8da9e30c86e8',1,'arm_compute::NEDepthConvertLayerKernel::operator=(const NEDepthConvertLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a3807b43a5684d5d911e6b3b90e91f34b',1,'arm_compute::NEDepthConvertLayerKernel::operator=(NEDepthConvertLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(const NEDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(NEDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a71bbff3ea2feca2cd0d70f9eb01ca90b',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(const NEDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abd81a8f6c3c7905c4cd60b70f3b3080e',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(NEDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ae65a3faf404ade3e8c3baedbbdc1b3e2',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(const NEDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a9496f50398140f7f9d61fb9d22ebc58a',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(NEDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#aa1d4701f887f2d047e5b7d20b954765d',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(const NEDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a23f3339d7c703d798f3b4e3de4f9b7d3',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(NEDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a406393d4b1f6f5c6ce79c20df507a31c',1,'arm_compute::NEDequantizationLayerKernel::operator=(const NEDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a16209f1e14086b57f0f932a3b609c96f',1,'arm_compute::NEDequantizationLayerKernel::operator=(NEDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a11f5eb3a93c035acdd9fd93f3bed50bd',1,'arm_compute::NEDerivativeKernel::operator=(const NEDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac23fff6afb2efca3962209a494931591',1,'arm_compute::NEDerivativeKernel::operator=(NEDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac299dc8386e25ebcf104989623cf6000',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(const NEDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#aec3ec4dc8b3bda8ba2638fbb9d520322',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(NEDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab02c33a0e6c13a21c8b8ceed03fd8b6d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac03d137048cbb1394dab3a761cc0357d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a8cd25f359e632367671a50a5c894689b',1,'arm_compute::NEElementwiseOperationKernel::operator=(const NEElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a6d1b4faad671ba5e53b437b71c628eb5',1,'arm_compute::NEElementwiseOperationKernel::operator=(NEElementwiseOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a0496d719e1b74db26c8b0c8fc40fe0a5',1,'arm_compute::NEElementwiseUnaryKernel::operator=(const NEElementwiseUnaryKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a58fbf3f3a819869d37be2d196a4a7403',1,'arm_compute::NEElementwiseUnaryKernel::operator=(NEElementwiseUnaryKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a3b21b6f8bfa867ac4095d07b3c24dc21',1,'arm_compute::NEFastCornersKernel::operator=(const NEFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a8197fdf1bcf46e73d178e8e9e53ff7aa',1,'arm_compute::NEFastCornersKernel::operator=(NEFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a13b2df49f2f949a2bb58f712265848bf',1,'arm_compute::NEFillArrayKernel::operator=(const NEFillArrayKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a9a55c46c05fbc0a537df4c3ccc48e674',1,'arm_compute::NEFillArrayKernel::operator=(NEFillArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#aa4f538607cbe231add821baaed273d89',1,'arm_compute::NEFillBorderKernel::operator=(const NEFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#acfb02d08dc643683c69a86b220e30574',1,'arm_compute::NEFillBorderKernel::operator=(NEFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ad1005cd5f8e117e601e605fe95eb2c43',1,'arm_compute::NEFillInnerBorderKernel::operator=(const NEFillInnerBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a211e87c29190b5815452186960925f31',1,'arm_compute::NEFillInnerBorderKernel::operator=(NEFillInnerBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#aaa8caa7803a5053e7c8c2334a6aa5d82',1,'arm_compute::NEFlattenLayerKernel::operator=(const NEFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a91feb18606cd59d3557b2b98251256e5',1,'arm_compute::NEFlattenLayerKernel::operator=(NEFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a9e0321af8f472dffd74a70d7eb1558e6',1,'arm_compute::NEFuseBatchNormalizationKernel::operator=(const NEFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a8bb7d80eb7f9958e4c8af180f8462b3d',1,'arm_compute::NEFuseBatchNormalizationKernel::operator=(NEFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#af3994bf384531efe15bdf601d2c3f855',1,'arm_compute::NEGatherKernel::operator=(const NEGatherKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a57477a3e30e8dd951eab54469b957b23',1,'arm_compute::NEGatherKernel::operator=(NEGatherKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a57b8231a27fbf3bd1867c384f20f0ee7',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a524b075e28c8335b5fcd97e2d0654429',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a22225d9b8a8f6d1b8fe5186be5776362',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a06af55b2547ef858438a07ee2283cb7e',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ae9136625e4f8d015a03eb45c3b57147f',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(const NEGEMMAssemblyBaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a942c394fe0e0e7e6c95d806e1211d3d9',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(NEGEMMAssemblyBaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a881d64d29e841c5177b7a443e21d4160',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(const NEGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a525a39534b1eb64631f04062d8ea992e',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(NEGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a88b3f84ef7b1572db87c30c5ec62d3ad',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(const NEGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a29cc574f2f167b0472aad01be662d35c',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(NEGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#afd56f1f0c54f327fcfb4ca91d7d91566',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a2709f3f3c7480d4f0e5fb8de1dc4544b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#acaa1e82e83b4152c28bd01c9422898df',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a29edb028c92e2e9225cdafbf06b9beb1',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#aaf80d9eb45e49a22571fa0129a7e9d20',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(const INEGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a46dac32640298b745aeae7823c9582ee',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(INEGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a409dfc45a8604ff384712328a6c31e90',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(const NEGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a94d9d77f258a9f6f392f391086e93db1',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(NEGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a7bf4194c21adc060991ddb88ed4c8b60',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(const NEGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#adc1be2dee3a4aeeb959cf2ec7aec7657',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(NEGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a7374bb3f1d0e7e9cd4ba2c33f03fe24d',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(const NEGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a864371293368156a359430d90ebb7670',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(NEGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ae4d0d8ff6021bdee6922e6993042e7ae',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(const NEGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aa31c613d796b81e7ea7abdf0bfe68291',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(NEGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a232af38fd41caa594d7bc0571f56f50c',1,'arm_compute::INEHarrisScoreKernel::operator=(const INEHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a8c5c5c5c31d1d2eb36f6c8f71e7e181e',1,'arm_compute::INEHarrisScoreKernel::operator=(INEHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a141d3236a2c874c5ea0ac78776b4433b',1,'arm_compute::NEHistogramKernel::operator=(const NEHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4d612efbb9c534d6d89d397e65d816dd',1,'arm_compute::NEHistogramKernel::operator=(NEHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#aba51399633359154d6d92ac157ec2d79',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(const NEHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a777b74a7fe06dca3142df7575cfdb8d1',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(NEHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a82a657d81256fe50dadf69b32daeff7f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(const NEHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab4a44853a753d8217b53760a605ad81f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(NEHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a1950ead36156919ea0345e72bfe91e4f',1,'arm_compute::NEHOGDetectorKernel::operator=(const NEHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#afa7fbb664ca96646837a43aea8e9a5e8',1,'arm_compute::NEHOGDetectorKernel::operator=(NEHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a8f6d6c13a896535a381329b6145aeae8',1,'arm_compute::NEIm2ColKernel::operator=(const NEIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a6a2aca1636f47703585803ca05d10180',1,'arm_compute::NEIm2ColKernel::operator=(NEIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a8028a2c0f5d9fedccbaa8b10c91fcacc',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(const NEL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a4cc3301a251cb2c41fba0752ea047781',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(NEL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a4fca340cdf3937fc9d34364c0c63b87f',1,'arm_compute::NELKTrackerKernel::operator=(const NELKTrackerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab71320bdcd0dfbee682dd61b8c1c0b0c',1,'arm_compute::NELKTrackerKernel::operator=(NELKTrackerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a6fbdf09b0ad8f3aafc550d4dc235dcc8',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(const NELocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#aa05b3e5b37ad26879891dfcbe27a3202',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(NELocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a792f1b5315b3678896a2dd5eab8b692b',1,'arm_compute::NEMagnitudePhaseKernel::operator=(const NEMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ad45c0851db2721a94c831cbc6f30a037',1,'arm_compute::NEMagnitudePhaseKernel::operator=(NEMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a8658dfa985e2cd5805d4756eed25638d',1,'arm_compute::NEMeanStdDevKernel::operator=(const NEMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#addfd7a52f0ae7ff3ff637834f4cb977c',1,'arm_compute::NEMeanStdDevKernel::operator=(NEMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a1ccf2b937d1e441bcc3d722861506549',1,'arm_compute::NEMemsetKernel::operator=(const NEMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a35918ce93d22ac66da14be30e5fdc3cf',1,'arm_compute::NEMemsetKernel::operator=(NEMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#affeb443f03d30ae971488ad113d4b95a',1,'arm_compute::NEMinMaxLayerKernel::operator=(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a830cb672edfb4d805d7b6142971cfc05',1,'arm_compute::NEMinMaxLayerKernel::operator=(NEMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a9b6ac356956d5d7dfb97871dfa8daa8e',1,'arm_compute::NEMinMaxKernel::operator=(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a8b315188bf6d2dc453acbf411c477971',1,'arm_compute::NEMinMaxKernel::operator=(NEMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab9a7c76bf701e9dbed2fd52ae73e7774',1,'arm_compute::NEMinMaxLocationKernel::operator=(const NEMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a27b90206d81f057e8bb3c921f51e5190',1,'arm_compute::NEMinMaxLocationKernel::operator=(NEMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ad1c7427d0764b87f44110b99e6ef711a',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a3951d5222dbce29fef63aa1c972bd5db',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#abd07bcfd3e6a025406dfaffbf9d44e3d',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(const NENonMaximaSuppression3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef123a42a08a4258997924a27803a565',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(NENonMaximaSuppression3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7221fb56d3119c94875fbf76addc27fe',1,'arm_compute::NENormalizationLayerKernel::operator=(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a37d9ddfcfeee1a4993746c2d3ab51290',1,'arm_compute::NENormalizationLayerKernel::operator=(NENormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a361148b07189c79f5a4178e718424554',1,'arm_compute::NEPermuteKernel::operator=(const NEPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a62da7f629d96facdeaf3e712c1a4f5af',1,'arm_compute::NEPermuteKernel::operator=(NEPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a6685c2ffbda12dbf1e4706b85c688e19',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(const NEPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#aaa5c44de29693435660b5c849c62e991',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(NEPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a1729479f9686c64edfd1a4af834d634b',1,'arm_compute::NEPoolingLayerKernel::operator=(const NEPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a0e9871f265535f65226b65ae64ab2cfb',1,'arm_compute::NEPoolingLayerKernel::operator=(NEPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a93a51f56a003ef272a4418e4bce15452',1,'arm_compute::NEPriorBoxLayerKernel::operator=(const NEPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a790572f0ca2723a5fe92abbc24949b84',1,'arm_compute::NEPriorBoxLayerKernel::operator=(NEPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aefff097fc5214bd2e8cecfbaa90cad3d',1,'arm_compute::NEQuantizationLayerKernel::operator=(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a56c4b1f3df503c5f6308c318e305d7f8',1,'arm_compute::NEQuantizationLayerKernel::operator=(NEQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#ae17557c16785ace25e05ecf95c08ed33',1,'arm_compute::NERangeKernel::operator=(const NERangeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#acc6f05777a3e3dd5fe71c7efe9f01dac',1,'arm_compute::NERangeKernel::operator=(NERangeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a09d7fa5d5000365b8b7b2b7234b52615',1,'arm_compute::NEReductionOperationKernel::operator=(const NEReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a826800dc56e2295a28291f51c631c5ba',1,'arm_compute::NEReductionOperationKernel::operator=(NEReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#aa9096c3897bd0dbda632613a243fa835',1,'arm_compute::NERemapKernel::operator=(const NERemapKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ac19511f65e6bad8424d4dd8933e0b673',1,'arm_compute::NERemapKernel::operator=(NERemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a8043dc90b47d430e6c9c570b4d39ec64',1,'arm_compute::NEReorgLayerKernel::operator=(const NEReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a48da94ae894674d8009281d0bda17f62',1,'arm_compute::NEReorgLayerKernel::operator=(NEReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a0407e112433769274eedc2bbbad56bd7',1,'arm_compute::NEReverseKernel::operator=(const NEReverseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#abc01a4b550e675c59254b40f4dd217b8',1,'arm_compute::NEReverseKernel::operator=(NEReverseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ac5110dfc692959c2e852b827976e138b',1,'arm_compute::NEROIPoolingLayerKernel::operator=(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a5224515065ba1467fd0cf092b08cc614',1,'arm_compute::NEROIPoolingLayerKernel::operator=(NEROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a9bc5c918a86ea34e0a7cc2559c010596',1,'arm_compute::NEScaleKernel::operator=(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa2d0e6d7ced452bc623cd3020e3026c7',1,'arm_compute::NEScaleKernel::operator=(NEScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a9e56daa4acb0848264206cbcabd71fb6',1,'arm_compute::NEScharr3x3Kernel::operator=(const NEScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa4a99a8888c2b726eb11026235e1df4b',1,'arm_compute::NEScharr3x3Kernel::operator=(NEScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a151b3ed521d8bf9328976f6bc9cbfaad',1,'arm_compute::NESelectKernel::operator=(const NESelectKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#ae01d5a859d3194b328951c3f5555e505',1,'arm_compute::NESelectKernel::operator=(NESelectKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a9e9f9a009b184aa9b7a95c08c5312c40',1,'arm_compute::NESobel3x3Kernel::operator=(const NESobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ad278035b8f39d6cbfd3e4f0df8c2267e',1,'arm_compute::NESobel3x3Kernel::operator=(NESobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9e6242e9d05e2d354358200b6b0c9bce',1,'arm_compute::NESobel5x5HorKernel::operator=(const NESobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a3e6b2451b91f83ba01eaa137cd43ad92',1,'arm_compute::NESobel5x5HorKernel::operator=(NESobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a8954c998e67758f56891caf8da30c953',1,'arm_compute::NESobel5x5VertKernel::operator=(const NESobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a59d1a2b1ef3d2b7e3bc5e942714d102a',1,'arm_compute::NESobel5x5VertKernel::operator=(NESobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aa565986054157308084976722c25cb40',1,'arm_compute::NESobel7x7HorKernel::operator=(const NESobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aea088a2f4df212fdf1fdf5c345097ee7',1,'arm_compute::NESobel7x7HorKernel::operator=(NESobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a175a100761bb3f0643d8a53cc50347c9',1,'arm_compute::NESobel7x7VertKernel::operator=(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a119c48528fa6440b33a4e25c9825d07f',1,'arm_compute::NESobel7x7VertKernel::operator=(NESobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a521b1174aeab742708cee344f456991f',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(const NELogits1DSoftmaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a6f530ecf884240c9e1efbacc620515f4',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(NELogits1DSoftmaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a70f51a52c7e3b3c3dc8df55c4de432bb',1,'arm_compute::NEStackLayerKernel::operator=(const NEStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ae567059d2109eb77ff954e9f044de8be',1,'arm_compute::NEStackLayerKernel::operator=(NEStackLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a19540be4889874d26e02bd93d190d245',1,'arm_compute::NEStridedSliceKernel::operator=(const NEStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a4b4a661ba3c184d74e2b1b7dec2bb5af',1,'arm_compute::NEStridedSliceKernel::operator=(NEStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a07bb7672d1a33bacdb6d6c03329be8bc',1,'arm_compute::NETableLookupKernel::operator=(const NETableLookupKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aa8401b21e8ec6f12716f91a8e84f2b88',1,'arm_compute::NETableLookupKernel::operator=(NETableLookupKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ade42f76ebc9cf95d29f8642069d1c0c2',1,'arm_compute::NEThresholdKernel::operator=()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a63f3deecf9e352a67d8e5c1ee798dd96',1,'arm_compute::NETileKernel::operator=(const NETileKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a0ba93c13ae54d1fa7bfd940d18ae77b1',1,'arm_compute::NETileKernel::operator=(NETileKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a6feb51cd492d39a63e9455dac72bc030',1,'arm_compute::NETransposeKernel::operator=(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#aef05df94b7db653754d21e0b341cb911',1,'arm_compute::NETransposeKernel::operator=(NETransposeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#aed69b535a05e3c953dfdb4255535f72b',1,'arm_compute::NEUpsampleLayerKernel::operator=(const NEUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab275a3356e327941325a5023ddcf407b',1,'arm_compute::NEUpsampleLayerKernel::operator=(NEUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7fec20804044646d6a855713fe6573ae',1,'arm_compute::INEWarpKernel::operator=(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a724673b78b929bbbd03f746c75ad2ec7',1,'arm_compute::INEWarpKernel::operator=(INEWarpKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a412907d43b6f7ce6cce48207e8af83cd',1,'arm_compute::NEWeightsReshapeKernel::operator=(const NEWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a613d3b6daf647da39d73bdad79cf0ba7',1,'arm_compute::NEWeightsReshapeKernel::operator=(NEWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a71e697bc4b8d464bf4dbe5a214b977cc',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(const NEWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a5494f151a0889375c2cc2f9f8ce1d6e8',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(NEWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a899571657a22f26128c31b35588c8fb8',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(const NEWinogradLayerTransformInputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a18abeb1ed663c61bbbdc32a0d3ecef7e',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(NEWinogradLayerTransformInputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a751da38633e08a705df626b6146085b2',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(const NEWinogradLayerTransformOutputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40b55a1414f014115c6aef7bc8656825',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(NEWinogradLayerTransformOutputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ae43e71907cc8f09be3338c84c18701bb',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(const NEWinogradLayerTransformWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a5dbb04cc8d65cafca5884f9c2c5a82b8',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(NEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab22183b5230b6cbcfd18ce0cda810774',1,'arm_compute::NEYOLOLayerKernel::operator=(const NEYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a036c2e4605e7fcbcb08974e5aff3b0eb',1,'arm_compute::NEYOLOLayerKernel::operator=(NEYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34',1,'arm_compute::PyramidInfo::operator=(const PyramidInfo &amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a09f1ed0da3ccc973d44d1156aff150f9',1,'arm_compute::PyramidInfo::operator=(PyramidInfo &amp;&amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a19a1cb67274c32a121bda25311368aa5',1,'arm_compute::Steps::operator=(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a3fbb5c5f85131d56480ce42a77e6f8e1',1,'arm_compute::Steps::operator=(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a0b6f9231ca0331d1a3194a3c921b3007',1,'arm_compute::Strides::operator=(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a8176792e94ac0c326c5338c46e6594fc',1,'arm_compute::Strides::operator=(Strides &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac9cb71b17117e1185de0ae5f11066f09',1,'arm_compute::SubTensorInfo::operator=(const SubTensorInfo &amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a96c95f8cb79e02b44aa016e7842a4b68',1,'arm_compute::SubTensorInfo::operator=(SubTensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b',1,'arm_compute::TensorInfo::operator=(const TensorInfo &amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e',1,'arm_compute::TensorInfo::operator=(TensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a',1,'arm_compute::TensorShape::operator=(const TensorShape &amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#afbfae7c97606fb71d556a9f4e46dda00',1,'arm_compute::TensorShape::operator=(TensorShape &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aa2c515476ae6f0e68d097df16d1fcc6b',1,'arm_compute::ValidRegion::operator=(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aee2d91caa7e213cece8c633926cff9c2',1,'arm_compute::ValidRegion::operator=(ValidRegion &amp;&amp;)=default'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a9ffd691a00a5c9080528c3b852bda144',1,'arm_compute::io::FileHandler::operator=(const FileHandler &amp;)=delete'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54f342231c056055100190a5429e4689',1,'arm_compute::io::FileHandler::operator=(FileHandler &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::logging::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a656c066d5514e0cb94ddbfadab0f0d62',1,'arm_compute::logging::Printer::operator=(Printer &amp;&amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#ab18882a3175cd53305509643329a400a',1,'arm_compute::logging::Logger::operator=(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a3f823d85882db15d1dd140a21ca391e2',1,'arm_compute::logging::Logger::operator=(Logger &amp;&amp;)=default'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a7768b7b80a8b640dae911af38e3315a2',1,'arm_compute::Window::Dimension::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#adfcd04c831f29841dd197ffe95dd091b',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(CLSubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a3a3488108174600975461132e1e3cc03',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(const CLSubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ae6fbac5bb10b8f2bb45c86757823fd4c',1,'arm_compute::graph::backends::CLTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ace31806f68dba1602155ce7ac97eaabb',1,'arm_compute::graph::backends::GCTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a74bed133a977865cdde5a939e0f98910',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a21f1dbacc549582a3c3517697c25e9d4',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(const NESubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ad9b26271249b5922e416b762ca69c8d1',1,'arm_compute::graph::backends::NETensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#af0302d3fc7712901f4a536d0fb27dc3c',1,'arm_compute::graph::frontend::ROIAlignLayer::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4be4b83054829b12ec645bb454e6b9cc',1,'arm_compute::graph::frontend::Stream::operator=(const Stream &amp;)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a47609f455f49a8f991eff13b250d2077',1,'arm_compute::graph::frontend::Stream::operator=(Stream &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph.xhtml#acbe0278ebf263a33f3d0b9b4be834961',1,'arm_compute::graph::Graph::operator=(const Graph &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph.xhtml#ab7c768cbf48a5cf81c0cfc1fa27a94ef',1,'arm_compute::graph::Graph::operator=(Graph &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a486c42cfea65bf964404f77404dba8da',1,'arm_compute::graph::GraphContext::operator=(const GraphContext &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a52ee8d390e25147e776bfcb39b010947',1,'arm_compute::graph::GraphContext::operator=(GraphContext &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a5d30e27e2d3ceaa4f575d84881c099aa',1,'arm_compute::graph::GraphManager::operator=(const GraphManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a7e6bc69b0ad4be79c10f72debc89dfc8',1,'arm_compute::graph::GraphManager::operator=(GraphManager &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170',1,'arm_compute::graph::INode::operator=(const INode &amp;)=delete'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249',1,'arm_compute::graph::INode::operator=(INode &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a152bf09057df80a0f6e5be985575ed80',1,'arm_compute::graph::ROIAlignLayerNode::operator=()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a09bdb150e721834eab846495da9275f9',1,'arm_compute::graph::PassManager::operator=(const PassManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a80b283e26291370143876b3764724fa3',1,'arm_compute::graph::PassManager::operator=(PassManager &amp;&amp;)=default'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#af739e81f8924273bdb1a60f841be8400',1,'arm_compute::graph::ExecutionTask::operator=(const ExecutionTask &amp;)=delete'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#ad9df05c39bf73acfe0037ae02429ae72',1,'arm_compute::graph::ExecutionTask::operator=(ExecutionTask &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab8635dfa3dda23bdf12511b1580b4e3f',1,'arm_compute::BlobLifetimeManager::operator=(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a6c3ced2dfa5fbe59969d3e948ba9d329',1,'arm_compute::BlobLifetimeManager::operator=(BlobLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_memory_pool.xhtml#a48ffa311cc6842633aff367dd6f0d601',1,'arm_compute::BlobMemoryPool::operator=(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aefaf0120dcb471db4f69ad73c6a79a8b',1,'arm_compute::BlobMemoryPool::operator=(BlobMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#a36d785dc1a6a88471030943546aa8f51',1,'arm_compute::CLArray::operator=(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#aef6598a7ef623f1d4cb051d85176997b',1,'arm_compute::CLArray::operator=(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a5d11cfbbf69ebbd595d8aee3ecbafedb',1,'arm_compute::CLDistribution1D::operator=()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a2de13c6fbd9dd5506f12627b87415a51',1,'arm_compute::CLLutAllocator::operator=()'],['../classarm__compute_1_1_c_l_memory.xhtml#a74574cd4936f64bf0486bae1000a42c9',1,'arm_compute::CLMemory::operator=(const CLMemory &amp;)=default'],['../classarm__compute_1_1_c_l_memory.xhtml#af8add9f91e083ecba5952ab92de6eaf6',1,'arm_compute::CLMemory::operator=(CLMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#aba791ecf7c921e9a1c8d84baa7dd270e',1,'arm_compute::ICLMemoryRegion::operator=(const ICLMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#ad09657054c2f981a19b9ac7e4b95bd30',1,'arm_compute::ICLMemoryRegion::operator=(ICLMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a9e7404a38329c9f1fcce42b8098dc6f9',1,'arm_compute::CLSubTensor::operator=(const CLSubTensor &amp;)=delete'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#aee53085b838758adfce05657de25f5c5',1,'arm_compute::CLSubTensor::operator=(CLSubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a74c9c61e0615334fdeb176f21828a98f',1,'arm_compute::CLTensorAllocator::operator=(const CLTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#aba115eb9c458f9e99b8c3fa3975a74a3',1,'arm_compute::CLTensorAllocator::operator=(CLTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#a390de29c61d4843b56ae0d39fe1f139d',1,'arm_compute::CLCannyEdge::operator=()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ab6c49b1e869d3874128118b3fee4e57a',1,'arm_compute::CLDeconvolutionLayer::operator=(const CLDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0ea8cc5ad0f1e5d941a037fe1397e44e',1,'arm_compute::CLDeconvolutionLayer::operator=(CLDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a8d005b2a08fa38af8837e78acdc96267',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(const CLDeconvolutionLayerUpsample &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#adf54c803735c542ac8cedbb7c3f262c7',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(CLDeconvolutionLayerUpsample &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a112759d936411bb8bc6d78574d2ad54c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::operator=(const CLDepthwiseConvolutionLayer3x3 &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#afc8cdc3ccb5858350e433582a721887e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::operator=(CLDepthwiseConvolutionLayer3x3 &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#acf1baa6f148b8ac41e5a766f599784de',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ae2f97590ca5e33e6dbc69628dd2e5d2a',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(CLDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a7e879d333563f4c267fa128928066842',1,'arm_compute::CLDequantizationLayer::operator=()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#a5376467035ae425342d9feb333452d07',1,'arm_compute::CLFastCorners::operator=()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a1bee19103166ceb1eedef2e6a4fe6515',1,'arm_compute::CLFullyConnectedLayer::operator=(const CLFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8a5afe02cef06665b7d7349a8ecbd109',1,'arm_compute::CLFullyConnectedLayer::operator=(CLFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a2b3915cc930d8148512e6ad76889c698',1,'arm_compute::CLFuseBatchNormalization::operator=(const CLFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a7744243a28857c04dc3cb94eb6de02c4',1,'arm_compute::CLFuseBatchNormalization::operator=(CLFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afc0bb21e48fb78591b51913eba818410',1,'arm_compute::CLGaussianPyramid::operator=(const CLGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#aa3f47917f1cb44a55c93363eaaf39c6e',1,'arm_compute::CLGaussianPyramid::operator=(CLGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039',1,'arm_compute::CLGEMM::operator=(const CLGEMM &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a83a121357a2121ef7f0670b3f81e4645',1,'arm_compute::CLGEMM::operator=(CLGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a025e6bce0640a6cb5ecdab8a3e57f9a0',1,'arm_compute::CLGEMMConvolutionLayer::operator=(const CLGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a78f1fff174957ab8dd876ee696d5a749',1,'arm_compute::CLGEMMConvolutionLayer::operator=(CLGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ac2494e2fd961a2305ebb15469ddb61c8',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(const CLGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aeafe3e59b630d85d379ee50e41568fe2',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(CLGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a70eba8b239fb2bd6f1a710f3c11cadfe',1,'arm_compute::CLGenerateProposalsLayer::operator=(const CLGenerateProposalsLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a3f7c854f0828f431c0b0376af42df0f4',1,'arm_compute::CLGenerateProposalsLayer::operator=(CLGenerateProposalsLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#adda387b61b237daaf8579249f84751a5',1,'arm_compute::CLHarrisCorners::operator=()'],['../classarm__compute_1_1_c_l_histogram.xhtml#acb6c95349bcbf0a7f25e7e7e1e8f4b0e',1,'arm_compute::CLHistogram::operator=()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#abec8de5d26dba14703efc9f1e49e1053',1,'arm_compute::CLHOGDetector::operator=(const CLHOGDetector &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#aa2d5fe72d2db4b034a829c0a92c80783',1,'arm_compute::CLHOGDetector::operator=(CLHOGDetector &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#a4dc60a1da8bf41adb6c4d3c428a17415',1,'arm_compute::CLHOGMultiDetection::operator=()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a24d00f8384ab6f705aa3fe84f05c142b',1,'arm_compute::CLLocallyConnectedLayer::operator=(const CLLocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a62556f200fe50d1b6f02f813ded415f0',1,'arm_compute::CLLocallyConnectedLayer::operator=(CLLocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#a3bef7233d145e0bf1c7f8d5bc6de10c8',1,'arm_compute::CLMeanStdDev::operator=(const CLMeanStdDev &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ae8a26d490bb3e1aef9c3365c1a1e0405',1,'arm_compute::CLMeanStdDev::operator=(CLMeanStdDev &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a5ec34a951324ad9bd8bf06d8620369ed',1,'arm_compute::CLMinMaxLocation::operator=(const CLMinMaxLocation &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a54669d0a20e3df491886372d4cffef69',1,'arm_compute::CLMinMaxLocation::operator=(CLMinMaxLocation &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a68eed0e07674cc6e041d5dc0fecd8c27',1,'arm_compute::CLOpticalFlow::operator=(const CLOpticalFlow &amp;)=delete'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a24252fc100901855c82e8703834f9634',1,'arm_compute::CLOpticalFlow::operator=(CLOpticalFlow &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a70408a1376ad3c51c4a4ac31606ef731',1,'arm_compute::CLSpaceToBatchLayer::operator=(const CLSpaceToBatchLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aae636d5d5d69bd1e0a94703499b61143',1,'arm_compute::CLSpaceToBatchLayer::operator=(CLSpaceToBatchLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a78c051cce781f02d3b983248fe62a420',1,'arm_compute::CLUpsampleLayer::operator=(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ae1cf67f6c813d92aba68280f72302d3e',1,'arm_compute::CLUpsampleLayer::operator=(CLUpsampleLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a548924ae4a250d1010c286069c55d921',1,'arm_compute::CLWinogradConvolutionLayer::operator=(const CLWinogradConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a750abd85a10f58e3af2d82c62d21a730',1,'arm_compute::CLWinogradConvolutionLayer::operator=(CLWinogradConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2',1,'arm_compute::LSTMParams::operator=()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a784f85001ff3f17056936f4e6486f238',1,'arm_compute::CPPNonMaximumSuppression::operator=()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a0bd6124f70adfa9b9436a0222fbc736d',1,'arm_compute::CPPDetectionOutputLayer::operator=()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a87ed9138ded739663871c103fc77b36a',1,'arm_compute::GCConvolutionLayer::operator=(const GCConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a0a2e80b84845bf2538dd5770089913b7',1,'arm_compute::GCConvolutionLayer::operator=(GCConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0f630efcedbbbc70828b135558481d0a',1,'arm_compute::GCFullyConnectedLayer::operator=(const GCFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#af0b25842ef10cd339adaff0d90a991a6',1,'arm_compute::GCFullyConnectedLayer::operator=(GCFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a40c629523cd60defececec852c96bde9',1,'arm_compute::GCGEMM::operator=(const GCGEMM &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a007cee76f844c83fd782c9f7f5183ea8',1,'arm_compute::GCGEMM::operator=(GCGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a9a8c0ce9078d258d67a4cc1a8be581b0',1,'arm_compute::GCMemory::operator=(const GCMemory &amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a124afb1dbc1e3edb86f8ff7422551181',1,'arm_compute::GCMemory::operator=(GCMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a9b586073abda157c8aa9cfc1d1a6baf7',1,'arm_compute::IGCMemoryRegion::operator=(const IGCMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#aa070a495e1556ae2dd1cbcbdc7731d01',1,'arm_compute::IGCMemoryRegion::operator=(IGCMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor.xhtml#aa4f270493cf446b73c02f830e92be848',1,'arm_compute::GCTensor::operator=(const GCTensor &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor.xhtml#ac819d83569c1bcd78c6e56dcdb995791',1,'arm_compute::GCTensor::operator=(GCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a56164dac01e367ad6b509517cd94464a',1,'arm_compute::GCTensorAllocator::operator=(const GCTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a70d4c3ea42d68d50cc207d343173696a',1,'arm_compute::GCTensorAllocator::operator=(GCTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_i_lut_allocator.xhtml#afc1c53ed4dcc1a723b9b9dcf67c578a1',1,'arm_compute::ILutAllocator::operator=()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a0f0200cb55880b234ad6b5957bcf4f1a',1,'arm_compute::ISimpleLifetimeManager::operator=(const ISimpleLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a55b290d729e4102cd5598bf68970d465',1,'arm_compute::ISimpleLifetimeManager::operator=(ISimpleLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a12e5f2915e2461321b130dcf84f3e268',1,'arm_compute::ITensorAllocator::operator=(const ITensorAllocator &amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a46277b6e964a66a9936e06f9989f0ff6',1,'arm_compute::ITensorAllocator::operator=(ITensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5e46e80e8811b4deb258cd55124e55a8',1,'arm_compute::Memory::operator=(const Memory &amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5f1c7301ebe0c0bb6fb68b74863c1eaf',1,'arm_compute::Memory::operator=(Memory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_memory_group_base.xhtml#a597892bd64122315e3329751f634c20e',1,'arm_compute::MemoryGroupBase::operator=(const MemoryGroupBase &amp;)=delete'],['../classarm__compute_1_1_memory_group_base.xhtml#acdceaca325dbcee01e9abebd2e4586dc',1,'arm_compute::MemoryGroupBase::operator=(MemoryGroupBase &amp;&amp;)=default'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#a1bd945bc8d435108eb44610985af22c2',1,'arm_compute::MemoryManagerOnDemand::operator=(const MemoryManagerOnDemand &amp;)=delete'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#ae1fea3bf72cb300aab21e99cb8b278b9',1,'arm_compute::MemoryManagerOnDemand::operator=(MemoryManagerOnDemand &amp;&amp;)=default'],['../classarm__compute_1_1_memory_region.xhtml#a56244352ef17c3750434e3fd479859cb',1,'arm_compute::MemoryRegion::operator=(const MemoryRegion &amp;)=delete'],['../classarm__compute_1_1_memory_region.xhtml#a532920766558c751318576ff10974178',1,'arm_compute::MemoryRegion::operator=(MemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ac959141838870719b552af8918577e72',1,'arm_compute::NEGEMMInterleavedWrapper::operator=()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a325fac2836aecb2da2f86b7699e2b359',1,'arm_compute::NECannyEdge::operator=()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af81e2210787e1864c8bc6458b3072f6e',1,'arm_compute::NEDeconvolutionLayer::operator=(const NEDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad441ee7d0846b6acc9d515383525ba52',1,'arm_compute::NEDeconvolutionLayer::operator=(NEDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a883ebadadd34cf5dfead2ba71777df5c',1,'arm_compute::NEDepthConvertLayer::operator=()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa450bb01e6984892ca2a04078b9c653d',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(const NEDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a360587fb0ea89c5937fbbc8e0c5f2e9f',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(NEDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61',1,'arm_compute::NEFullyConnectedLayer::operator=(const NEFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#abebe778a14cc04d5e891c85000bbf75d',1,'arm_compute::NEFullyConnectedLayer::operator=(NEFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a56ab00d5b55e8d69ca5ff62077cd7d3c',1,'arm_compute::NEFuseBatchNormalization::operator=(const NEFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a9c012d39bef2e18aa563cb78a4f7a646',1,'arm_compute::NEFuseBatchNormalization::operator=(NEFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a097e83a75f775a2d592e9779c372c2c2',1,'arm_compute::NEGaussianPyramid::operator=(const NEGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a30c3a425c100798c86932c0ff6d12bb3',1,'arm_compute::NEGaussianPyramid::operator=(NEGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a01cad4311af868f78ee3de9e09b4a6a8',1,'arm_compute::NEGEMM::operator=(const NEGEMM &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a296a65f1339d5d42de2fd545a9dc6c6d',1,'arm_compute::NEGEMM::operator=(NEGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a402fbf95b304d32f0010dd4b1a2e9b90',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(const NEGEMMAssemblyDispatch &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ac0b8f2b6d502446ead81a7e5862bc6ab',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(NEGEMMAssemblyDispatch &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ac13c7e80f7e9e6f1e2912ef50678c5c9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(const NEGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a0a7030af14bb803820435ca75009b0f9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(NEGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a6cf92b4f83cc26a87883df2e1eb54f9c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(const NEGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1f225eb8d049d500f6ea74116105e16e',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(NEGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a700706067ae7a82357f78ab2513cac99',1,'arm_compute::NEHOGMultiDetection::operator=()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a2011fb7b44e76ebd2957034db21a81b0',1,'arm_compute::NELocallyConnectedLayer::operator=(const NELocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aae34e0091ee3636e2e9f80d7c69aa3a9',1,'arm_compute::NELocallyConnectedLayer::operator=(NELocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a21df3a34e101b1a8f689aa6326b90441',1,'arm_compute::NEOpticalFlow::operator=()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ae2d47df9fdf935549764571144c6c1c1',1,'arm_compute::NERNNLayer::operator=(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a9b76a4c1bbcb9d6dc0573fb8ef3be3b8',1,'arm_compute::NERNNLayer::operator=(NERNNLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a84f7743c7dc9ace409060c925a790a81',1,'arm_compute::NESoftmaxLayer::operator=(const NESoftmaxLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#abd0aa260ae3061c2bb8f812498011abe',1,'arm_compute::NESoftmaxLayer::operator=(NESoftmaxLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#af00f525fea55946a514cfec3e4b95cf2',1,'arm_compute::NEWinogradConvolutionLayer::operator=()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ac0f085875ec28fc74854dde66e516d40',1,'arm_compute::OffsetLifetimeManager::operator=(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#af80823abd6f1c0958ace5e7c1bb7833e',1,'arm_compute::OffsetLifetimeManager::operator=(OffsetLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a99daecc3ea244297f40ff2d8bbed79e5',1,'arm_compute::OffsetMemoryPool::operator=(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a7c0cd0404fd5482c2229abf8b93d1f59',1,'arm_compute::OffsetMemoryPool::operator=(OffsetMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_pool_manager.xhtml#a2bfc06a61c655c3a5b8638336c6f504f',1,'arm_compute::PoolManager::operator=(const PoolManager &amp;)=delete'],['../classarm__compute_1_1_pool_manager.xhtml#a1989d6763b5a90b6cc2a4d8313001424',1,'arm_compute::PoolManager::operator=(PoolManager &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor.xhtml#a90a31c7d9dde928db10b23bccd64b87d',1,'arm_compute::SubTensor::operator=(const SubTensor &amp;)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#ab77dfdfcd9be21524025d71a9650fba5',1,'arm_compute::SubTensor::operator=(SubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_tensor.xhtml#a008f5e2a1c019e9b401753210a99ddfe',1,'arm_compute::Tensor::operator=()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a943854ce6f3aafac2714340e0915de75',1,'arm_compute::TensorAllocator::operator=(const TensorAllocator &amp;)=delete'],['../classarm__compute_1_1_tensor_allocator.xhtml#ace0f71b15cbb5b468070f5a2fd4110ad',1,'arm_compute::TensorAllocator::operator=(TensorAllocator &amp;&amp;) noexcept'],['../classarm__gemm_1_1_buffer.xhtml#a5e31690a2c14a3428593c0af4435158a',1,'arm_gemm::Buffer::operator=()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a8dbc0e51b4dc4103bcd2d7429882f25a',1,'arm_gemm::BufferManager::operator=()'],['../classarm__gemm_1_1_gemm_hybrid.xhtml#a82ec71716669b6765670e0ed242f5a47',1,'arm_gemm::GemmHybrid::operator=()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#af03b8e4289fa0e112d315dd7e25ec696',1,'arm_gemm::GemmInterleaved::operator=()'],['../classarm__gemm_1_1_gemm_native.xhtml#a27d1c82132d0cae0a2d04fb3c5c4b6d3',1,'arm_gemm::GemmNative::operator=()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a1de2cd698285048e8b3d214bf773430f',1,'arm_gemm::GemvNativeTransposed::operator=()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a4bd9591d6da5b65a99c56f82acc14c4c',1,'arm_gemm::GemvPretransposed::operator=()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61',1,'arm_compute::test::CLAccessor::operator=(const CLAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#afbf0737f9bb10f445830a603552ee7ca',1,'arm_compute::test::CLAccessor::operator=(CLAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a56b520c98dd5187fb13b7ee4f0356e93',1,'arm_compute::test::CLArrayAccessor::operator=(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ad0aeb1c3b2795a2008703a500d05f7f1',1,'arm_compute::test::CLArrayAccessor::operator=(CLArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#aad095a31506317d73c3a890efed1a77e',1,'arm_compute::test::CLHOGAccessor::operator=(const CLHOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a9b6519d4333c2f3a7335fdeba8ad036e',1,'arm_compute::test::CLHOGAccessor::operator=(CLHOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a4fb1029695f6ad5dcb495b61bf01ff12',1,'arm_compute::test::CLLutAccessor::operator=(const CLLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#ad3048c2580c341fd76b3647f8f71662a',1,'arm_compute::test::CLLutAccessor::operator=(CLLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a969cbf086a9939be47ea26a557ebf440',1,'arm_compute::test::framework::CommonOptions::operator=()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae4a6c66ea355204cca47490247b91f5f',1,'arm_compute::test::framework::Instrument::operator=(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a550047da2682a06765be837ae570e542',1,'arm_compute::test::framework::Instrument::operator=(Instrument &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a6a1582aa0e3a2791a9e3a00d3001d66e',1,'arm_compute::test::framework::MaliCounter::operator=()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a38d3874bedeff5dfa1957112a40b08c9',1,'arm_compute::test::framework::SchedulerClock::operator=(const SchedulerClock &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#acd51d33419e5e10f03554e58d6bada4e',1,'arm_compute::test::framework::SchedulerClock::operator=(SchedulerClock &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::test::framework::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab9efee145dd3e600454d5790050051ab',1,'arm_compute::test::framework::Printer::operator=(Printer &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a47f2ee4769e9519ed011fcc8b4c25b80',1,'arm_compute::test::GCAccessor::operator=(const GCAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a0d69d9b5b77ad212fbc3c30717653256',1,'arm_compute::test::GCAccessor::operator=(GCAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a75dae34a374af1dc690c73cda2605586',1,'arm_compute::test::Accessor::operator=(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2abf258677dd2dbe5821945c961584bc',1,'arm_compute::test::Accessor::operator=(Accessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#ab8e135abcf1fafedfcf9ee0577af6fa1',1,'arm_compute::test::ArrayAccessor::operator=(const ArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a2cac2e7a5f7f729bd612f69fb0e21b19',1,'arm_compute::test::ArrayAccessor::operator=(ArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a984182b61b3fb4264efb5bcd81b80327',1,'arm_compute::test::HOGAccessor::operator=(const HOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a4f8ad4080e43b8c3ac84ac8027e0dc69',1,'arm_compute::test::HOGAccessor::operator=(HOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aab55c8a099bd3c9c705c22154375a1a2',1,'arm_compute::test::LutAccessor::operator=(const LutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a245b2a5255f1aa5d34a026cf7316d931',1,'arm_compute::test::LutAccessor::operator=(LutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5fbc8143d612bfca981fa8639649fd60',1,'arm_compute::test::RawLutAccessor::operator=(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac18e8430f571890da3a094188ddec4f8',1,'arm_compute::test::RawLutAccessor::operator=(RawLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac',1,'arm_compute::test::RawTensor::operator=()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed',1,'arm_compute::test::SimpleTensor::operator=()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#afed776bb9670af4abedc158164e2aab8',1,'arm_compute::utils::CommonGraphOptions::operator=(const CommonGraphOptions &amp;)=delete'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a9a8aa1d010c8c0f650c55aefa8ece74e',1,'arm_compute::utils::CommonGraphOptions::operator=(CommonGraphOptions &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#aeeb120f5eddd6460ae7681a8d018ce15',1,'arm_compute::graph_utils::NumPyAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#aebdccc20fb873152f7f05a3859de5808',1,'arm_compute::graph_utils::DetectionOutputAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a29067af1bc346b969ff667fa490e692c',1,'arm_compute::graph_utils::TopNPredictionsAccessor::operator=()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a14a8151e7c79a50f93572133e29f0386',1,'arm_compute::utils::MemoryImageFeeder::operator=(const MemoryImageFeeder &amp;)=delete'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#ae3e2ad983aa2f9f0b232cb9cdf140117',1,'arm_compute::utils::MemoryImageFeeder::operator=(MemoryImageFeeder &amp;&amp;)=default']]],
   ['operator_3d_3d',['operator==',['../classarm__compute_1_1_size2_d.xhtml#aa57a311ba456740bd5f8d667f0ec7a96',1,'arm_compute::Size2D::operator==()'],['../structarm__compute_1_1_quantization_info.xhtml#a818a1cdb23d1a380eb30dc1ebf61e4a4',1,'arm_compute::QuantizationInfo::operator==()'],['../namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60',1,'arm_compute::operator==()']]],
   ['operator_3e_3e',['operator&gt;&gt;',['../namespacearm__compute.xhtml#a7cec6ed141f3eb1d6330533a90bba9e1',1,'arm_compute::operator&gt;&gt;(::std::istream &amp;stream, arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a9c4a3d0e80938810dd7b22b16785f5c8',1,'arm_compute::operator&gt;&gt;(::std::istream &amp;stream, arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute_1_1graph.xhtml#a81a73c1d68104f16b1d2f63e412b06be',1,'arm_compute::graph::operator&gt;&gt;()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aecd1325e94d00cb3d986e766000b3e38',1,'arm_compute::test::framework::operator&gt;&gt;(::std::istream &amp;stream, DatasetMode &amp;mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a549a58715637ff6fd467d33777a15f2c',1,'arm_compute::test::framework::operator&gt;&gt;(::std::istream &amp;stream, LogLevel &amp;level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a24f9c11e339a0326e95e07e0c97cb405',1,'arm_compute::test::framework::operator&gt;&gt;(::std::stringstream &amp;stream, InstrumentsDescription &amp;instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#af2a48b8d3c69f0f1bd7d02ab8adf9812',1,'arm_compute::test::framework::operator&gt;&gt;(::std::stringstream &amp;stream, LogFormat &amp;format)'],['../namespacearm__compute.xhtml#a1379e5f8a8b4640d7a52d901f0539ccd',1,'arm_compute::operator&gt;&gt;()']]],
   ['operator_5b_5d',['operator[]',['../classarm__compute_1_1_dimensions.xhtml#a08834d57877df4172a35bccc6719ab3a',1,'arm_compute::Dimensions::operator[](size_t dimension) const'],['../classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1',1,'arm_compute::Dimensions::operator[](size_t dimension)'],['../classarm__compute_1_1_window.xhtml#ac13b9cd31178cde1e6b25302d619ea05',1,'arm_compute::Window::operator[]()'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::CLLutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::CLLutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a579b149d2df097ab5fecba3c6dedebd8',1,'arm_compute::test::ILutAccessor::operator[](T input_value) const =0'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#ad8be979742bb6772dd601fe23ad44dc5',1,'arm_compute::test::ILutAccessor::operator[](T input_value)=0'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::LutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::LutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::RawLutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::RawLutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52',1,'arm_compute::test::SimpleTensor::operator[](size_t offset)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#adb16bab00d690a7952ca2f3d3d66bfa2',1,'arm_compute::test::SimpleTensor::operator[](size_t offset) const']]],
@@ -71,8 +75,8 @@
   ['options',['options',['../classarm__compute_1_1_c_l_build_options.xhtml#ae3b08139a1e57323c5d7dd93f30496c8',1,'arm_compute::CLBuildOptions']]],
   ['orientation',['orientation',['../structarm__compute_1_1_key_point.xhtml#a0e3266fc15309697502533db62b682af',1,'arm_compute::KeyPoint::orientation()'],['../struct_keypoint.xhtml#a0e3266fc15309697502533db62b682af',1,'Keypoint::orientation()']]],
   ['original',['ORIGINAL',['../namespacearm__compute.xhtml#a201391f6e13e2a1ac203256a77792718aa87d5006e1de1bfc07d5c56086ad20f1',1,'arm_compute']]],
+  ['orr_2eh',['orr.h',['../orr_8h.xhtml',1,'']]],
   ['other',['OTHER',['../namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb',1,'arm_compute']]],
-  ['out',['out',['../namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09',1,'arm_compute::test::validation']]],
   ['out_5fstride_5fx',['out_stride_x',['../depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2',1,'depthwise_convolution.cl']]],
   ['out_5fstride_5fy',['out_stride_y',['../depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1',1,'depthwise_convolution.cl']]],
   ['out_5fstride_5fz',['out_stride_z',['../depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2',1,'depthwise_convolution.cl']]],
@@ -85,7 +89,6 @@
   ['output_5finfo',['output_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782',1,'arm_compute::test::validation']]],
   ['output_5frow_5f4x4_5f5x5',['OUTPUT_ROW_4x4_5x5',['../winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9',1,'winograd_input_transform.cl']]],
   ['output_5fshape',['output_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a',1,'arm_compute::test::validation']]],
-  ['output_5ftile',['output_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#a62aa9469ab6f4dac26615fa705f55354',1,'arm_compute::test::validation']]],
   ['output_5ftile_5fsize',['output_tile_size',['../structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33',1,'arm_compute::WinogradInfo']]],
   ['outputlayer',['OutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml',1,'OutputLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a4c8546f74af36a2c5575bf4141269645',1,'arm_compute::graph::frontend::OutputLayer::OutputLayer()']]],
   ['outputnode',['OutputNode',['../classarm__compute_1_1graph_1_1_output_node.xhtml',1,'OutputNode'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#ae48844a2bfd8bdf7001306e23a19a2b2',1,'arm_compute::graph::OutputNode::OutputNode()']]],
@@ -93,5 +96,6 @@
   ['outputnode_2eh',['OutputNode.h',['../_output_node_8h.xhtml',1,'']]],
   ['outputs',['outputs',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#af19f4e3beb0cb0a38b9b213d47c813c7',1,'arm_compute::graph::ExecutionWorkload::outputs()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5',1,'arm_compute::graph::INode::outputs()']]],
   ['overflow',['overflow',['../classarm__compute_1_1_i_array.xhtml#aaac8982c6c162d3dc4acf356426684dc',1,'arm_compute::IArray']]],
+  ['owners',['owners',['../structarm__compute_1_1_blob_info.xhtml#af25f77c5a6aac1e9f8f996b22e6683ee',1,'arm_compute::BlobInfo']]],
   ['program',['Program',['../classarm__compute_1_1_program.xhtml#ab55379a8baa25825d27d3c8339114862',1,'arm_compute::Program']]]
 ];
diff --git a/documentation/search/all_11.html b/documentation/search/all_11.html
index 2be8b71..10fcd09 100644
--- a/documentation/search/all_11.html
+++ b/documentation/search/all_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_11.js b/documentation/search/all_11.js
index 3d5f99f..2530777 100644
--- a/documentation/search/all_11.js
+++ b/documentation/search/all_11.js
@@ -10,7 +10,6 @@
   ['pad_5ftop',['pad_top',['../classarm__compute_1_1_pad_stride_info.xhtml#a3fea0ce4e6eeee7bf3a511c31b51d44f',1,'arm_compute::PadStrideInfo']]],
   ['padd_2eh',['padd.h',['../padd_8h.xhtml',1,'']]],
   ['padding',['padding',['../classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce',1,'arm_compute::ITensorInfo::padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::SubTensorInfo::padding()'],['../classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::TensorInfo::padding()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#af98c64901f2fef6b6e26563bbb358f7e',1,'arm_compute::graph::PadLayerNode::padding()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::test::CLAccessor::padding()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::test::GCAccessor::padding()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a07b929c34ad1dc823d8315876aa403ce',1,'arm_compute::test::IAccessor::padding()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::test::Accessor::padding()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a79e20eacb1e963e24a21ebd7369effd7',1,'arm_compute::test::SimpleTensor::padding()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181',1,'arm_compute::test::validation::padding()']]],
-  ['padding_2ecpp',['Padding.cpp',['../_padding_8cpp.xhtml',1,'']]],
   ['padding_5fis_5fsymmetric',['padding_is_symmetric',['../classarm__compute_1_1_pad_stride_info.xhtml#ab4f112d61c643fe54d616201a9414267',1,'arm_compute::PadStrideInfo']]],
   ['paddingcalculator',['PaddingCalculator',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml',1,'PaddingCalculator'],['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a309f4b89522e179a81197cb86c6f2147',1,'arm_compute::test::PaddingCalculator::PaddingCalculator()']]],
   ['paddingcalculator_2eh',['PaddingCalculator.h',['../_padding_calculator_8h.xhtml',1,'']]],
@@ -19,7 +18,7 @@
   ['paddingsize',['PaddingSize',['../namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da',1,'arm_compute']]],
   ['paddingsizesdataset',['PaddingSizesDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a226250a0a5438b40d8c3cefb73f89d83',1,'arm_compute::test::validation']]],
   ['padlayer',['PadLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml',1,'PadLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml#a324e2525845b9315b4e4e8909dc14eb4',1,'arm_compute::graph::frontend::PadLayer::PadLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a979ac8e70d367e1e442d76f00b6f0ad1',1,'arm_compute::graph::PadLayer()']]],
-  ['padlayer_2ecpp',['PadLayer.cpp',['../_pad_layer_8cpp.xhtml',1,'']]],
+  ['padlayer_2ecpp',['PadLayer.cpp',['../_c_l_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['padlayer_2eh',['PadLayer.h',['../_pad_layer_8h.xhtml',1,'']]],
   ['padlayernode',['PadLayerNode',['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml',1,'PadLayerNode'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a12d45f8df789447b25e0f55d2bc098fa',1,'arm_compute::graph::PadLayerNode::PadLayerNode()']]],
   ['padlayernode_2ecpp',['PadLayerNode.cpp',['../_pad_layer_node_8cpp.xhtml',1,'']]],
@@ -40,11 +39,12 @@
   ['perform_5factivation_5fqa8',['PERFORM_ACTIVATION_QA8',['../activation__layer__qa8_8cl.xhtml#ae267af0805256476a63c9daed503a671',1,'activation_layer_qa8.cl']]],
   ['permutation_5fvector',['permutation_vector',['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a509cfef89595612c50bce4ef1eae181b',1,'arm_compute::graph::PermuteLayerNode']]],
   ['permutationvector',['PermutationVector',['../namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492',1,'arm_compute']]],
-  ['permute',['permute',['../namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0',1,'arm_compute::permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)'],['../namespacearm__compute.xhtml#a5045aaec85553032a782c44ab8d26341',1,'arm_compute::permute(TensorShape &amp;shape, const PermutationVector &amp;perm)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aece3b97f00c27986104bc5889d1ebb15',1,'arm_compute::test::validation::permute()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb5244bc67431a8ed627e8b2e2d6d460',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; T &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5a1560ffa53b6e7ac695e357d8d58bbd',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b107aca8287064043bae890e8fa326b',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9658582deedb7a0bc04968bbbb9ec414',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03e463730fd831157e634c1ec0e95316',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c5ed6a7e94da6c172a9ddd508a423c8',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint32_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b56a65406301c50d2272804e8748f50',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; float &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0ef6952054605dc92cdd08f7306889af',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; half &gt; &amp;src, PermutationVector perm)']]],
+  ['permute',['permute',['../namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0',1,'arm_compute::permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)'],['../namespacearm__compute.xhtml#a5045aaec85553032a782c44ab8d26341',1,'arm_compute::permute(TensorShape &amp;shape, const PermutationVector &amp;perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb5244bc67431a8ed627e8b2e2d6d460',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; T &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5a1560ffa53b6e7ac695e357d8d58bbd',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b107aca8287064043bae890e8fa326b',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9658582deedb7a0bc04968bbbb9ec414',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03e463730fd831157e634c1ec0e95316',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c5ed6a7e94da6c172a9ddd508a423c8',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint32_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b56a65406301c50d2272804e8748f50',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; float &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0ef6952054605dc92cdd08f7306889af',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; half &gt; &amp;src, PermutationVector perm)']]],
   ['permute_2ecl',['permute.cl',['../permute_8cl.xhtml',1,'']]],
   ['permute_2ecpp',['Permute.cpp',['../_c_l_2_permute_8cpp.xhtml',1,'(Global Namespace)'],['../_c_p_p_2_permute_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_permute_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_permute_8cpp.xhtml',1,'(Global Namespace)']]],
   ['permute_2eh',['Permute.h',['../_permute_8h.xhtml',1,'']]],
   ['permute_5fshape',['permute_shape',['../namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2',1,'arm_compute::graph_utils']]],
+  ['permute_5fstrides',['permute_strides',['../namespacearm__compute.xhtml#afcd35973f3a5d2d4d3015e155f185a81',1,'arm_compute']]],
   ['permutelayer',['PermuteLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml',1,'PermuteLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a3100240dbc6c19e85608522a8d4c1e98',1,'arm_compute::graph::frontend::PermuteLayer::PermuteLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa84a001cb23ac473e7aae73a9eaf369a',1,'arm_compute::graph::PermuteLayer()']]],
   ['permutelayernode',['PermuteLayerNode',['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml',1,'PermuteLayerNode'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#aba1a80948f841e8d2959ea92bc6ebfeb',1,'arm_compute::graph::PermuteLayerNode::PermuteLayerNode()']]],
   ['permutelayernode_2ecpp',['PermuteLayerNode.cpp',['../_permute_layer_node_8cpp.xhtml',1,'']]],
@@ -65,7 +65,7 @@
   ['pixel_5fwise_5fmultiplication_5fdata_5ftest_5fcase',['PIXEL_WISE_MULTIPLICATION_DATA_TEST_CASE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#ac598fd8a5d0b27a19e9efa5f9d4aee82',1,'PixelWiseMultiplication.cpp']]],
   ['pixel_5fwise_5fmultiplication_5ffixture_5fdata_5ftest_5fcase',['PIXEL_WISE_MULTIPLICATION_FIXTURE_DATA_TEST_CASE',['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml#a715b00582b213476123ac1439e8e0c1a',1,'PIXEL_WISE_MULTIPLICATION_FIXTURE_DATA_TEST_CASE():&#160;PixelWiseMultiplication.cpp'],['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#a715b00582b213476123ac1439e8e0c1a',1,'PIXEL_WISE_MULTIPLICATION_FIXTURE_DATA_TEST_CASE():&#160;PixelWiseMultiplication.cpp']]],
   ['pixels_5fper_5fitem',['pixels_per_item',['../_c_l_histogram_kernel_8cpp.xhtml#ac260a86d9a014807ac72a5790f5ff1eb',1,'CLHistogramKernel.cpp']]],
-  ['pixelvalue',['PixelValue',['../classarm__compute_1_1_pixel_value.xhtml',1,'PixelValue'],['../classarm__compute_1_1_pixel_value.xhtml#a6c754430610a785d5cb27e3b0ac396b8',1,'arm_compute::PixelValue::PixelValue()'],['../classarm__compute_1_1_pixel_value.xhtml#aeee8c50430251df2909cb16bd435a0b9',1,'arm_compute::PixelValue::PixelValue(uint8_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a013dcabbedc5e470addaefe209c1d970',1,'arm_compute::PixelValue::PixelValue(uint16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a759f09965687c6aea87dc4df7dd6f6b8',1,'arm_compute::PixelValue::PixelValue(int16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac04b0e04c1556f01d22c34af2afa564f',1,'arm_compute::PixelValue::PixelValue(uint32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a9deb64fff1a3515aa4bcd6f21dd3c4c0',1,'arm_compute::PixelValue::PixelValue(int32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac172f9f54700f67f512eb0ab043d3c25',1,'arm_compute::PixelValue::PixelValue(uint64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a06640bfee0fe6a6d4d8026b93e5a51b4',1,'arm_compute::PixelValue::PixelValue(int64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a3bc8ecbe2fec0390ab16c094a5b0f476',1,'arm_compute::PixelValue::PixelValue(half v)'],['../classarm__compute_1_1_pixel_value.xhtml#a90103a4ef4ab615848bb3afce5b97be1',1,'arm_compute::PixelValue::PixelValue(float v)'],['../classarm__compute_1_1_pixel_value.xhtml#a4adb7aa7ddf961dc4344cf857fecc62c',1,'arm_compute::PixelValue::PixelValue(double v)']]],
+  ['pixelvalue',['PixelValue',['../classarm__compute_1_1_pixel_value.xhtml',1,'PixelValue'],['../classarm__compute_1_1_pixel_value.xhtml#a6c754430610a785d5cb27e3b0ac396b8',1,'arm_compute::PixelValue::PixelValue()'],['../classarm__compute_1_1_pixel_value.xhtml#a77a6e9d50b8bc697760b68bd34c63c4e',1,'arm_compute::PixelValue::PixelValue(uint64_t v, DataType datatype, QuantizationInfo quant_info=QuantizationInfo())'],['../classarm__compute_1_1_pixel_value.xhtml#aeee8c50430251df2909cb16bd435a0b9',1,'arm_compute::PixelValue::PixelValue(uint8_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a013dcabbedc5e470addaefe209c1d970',1,'arm_compute::PixelValue::PixelValue(uint16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a759f09965687c6aea87dc4df7dd6f6b8',1,'arm_compute::PixelValue::PixelValue(int16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac04b0e04c1556f01d22c34af2afa564f',1,'arm_compute::PixelValue::PixelValue(uint32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a9deb64fff1a3515aa4bcd6f21dd3c4c0',1,'arm_compute::PixelValue::PixelValue(int32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac172f9f54700f67f512eb0ab043d3c25',1,'arm_compute::PixelValue::PixelValue(uint64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a06640bfee0fe6a6d4d8026b93e5a51b4',1,'arm_compute::PixelValue::PixelValue(int64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a3bc8ecbe2fec0390ab16c094a5b0f476',1,'arm_compute::PixelValue::PixelValue(half v)'],['../classarm__compute_1_1_pixel_value.xhtml#a90103a4ef4ab615848bb3afce5b97be1',1,'arm_compute::PixelValue::PixelValue(float v)'],['../classarm__compute_1_1_pixel_value.xhtml#a4adb7aa7ddf961dc4344cf857fecc62c',1,'arm_compute::PixelValue::PixelValue(double v)']]],
   ['pixelvalue_2eh',['PixelValue.h',['../_pixel_value_8h.xhtml',1,'']]],
   ['pixelwise_5fmul_5ffloat_2ecl',['pixelwise_mul_float.cl',['../pixelwise__mul__float_8cl.xhtml',1,'']]],
   ['pixelwise_5fmul_5fint_2ecl',['pixelwise_mul_int.cl',['../pixelwise__mul__int_8cl.xhtml',1,'']]],
@@ -73,6 +73,8 @@
   ['pixelwisemultiplication_2eh',['PixelWiseMultiplication.h',['../_pixel_wise_multiplication_8h.xhtml',1,'']]],
   ['plane',['plane',['../classarm__compute_1_1_i_c_l_multi_image.xhtml#ab8cc996a2730daa7954ab5095ef55d62',1,'arm_compute::ICLMultiImage::plane(unsigned int index) override'],['../classarm__compute_1_1_i_c_l_multi_image.xhtml#a86abf6a49a5191f283a81f911ae4c482',1,'arm_compute::ICLMultiImage::plane(unsigned int index) const override'],['../classarm__compute_1_1_i_multi_image.xhtml#a84ad04ee4d2efc59632a3224d7a813b3',1,'arm_compute::IMultiImage::plane(unsigned int index)=0'],['../classarm__compute_1_1_i_multi_image.xhtml#a18bc117545eec0b9d0d502286d1afd62',1,'arm_compute::IMultiImage::plane(unsigned int index) const =0'],['../classarm__compute_1_1_multi_image.xhtml#a171e7e7b94330e11c7461a1c2f6172e0',1,'arm_compute::MultiImage::plane(unsigned int index) override'],['../classarm__compute_1_1_multi_image.xhtml#a2843b41d7c4475ca1b77280dabd23681',1,'arm_compute::MultiImage::plane(unsigned int index) const override']]],
   ['plane_5fidx_5ffrom_5fchannel',['plane_idx_from_channel',['../namespacearm__compute.xhtml#a4f6fe18760340bcec02d095b7099e923',1,'arm_compute']]],
+  ['pmax_2eh',['pmax.h',['../pmax_8h.xhtml',1,'']]],
+  ['pmin_2eh',['pmin.h',['../pmin_8h.xhtml',1,'']]],
   ['pmu',['PMU',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml',1,'PMU'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#af16eae86d803112e6466140aaced812b',1,'arm_compute::test::framework::PMU::PMU()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a96bc7297c283c973784c216437bae762',1,'arm_compute::test::framework::PMU::PMU(uint64_t config)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005ab31212eaa6bb6d27e51301ef753dd4a8',1,'arm_compute::test::framework::PMU()']]],
   ['pmu_2ecpp',['PMU.cpp',['../_p_m_u_8cpp.xhtml',1,'']]],
   ['pmu_2eh',['PMU.h',['../_p_m_u_8h.xhtml',1,'']]],
@@ -120,6 +122,7 @@
   ['populate',['populate',['../classarm__compute_1_1_i_memory_manager.xhtml#a6f4ecdd50476aa19f6ac71064f1e3c22',1,'arm_compute::IMemoryManager::populate()'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#a4e3aacdae9bd3281e1cad9652c03a93c',1,'arm_compute::MemoryManagerOnDemand::populate()']]],
   ['populating',['POPULATING',['../namespacearm__gemm.xhtml#a32006a302bde841f2cf4cc8bb131856ba63560453bdae7737f5a7f0b9fc23e398',1,'arm_gemm']]],
   ['post_5fnms_5ftopn',['post_nms_topN',['../classarm__compute_1_1_generate_proposals_info.xhtml#a2a3e74a86ee9c520cc1a43191145edf6',1,'arm_compute::GenerateProposalsInfo']]],
+  ['pow_2eh',['pow.h',['../pow_8h.xhtml',1,'']]],
   ['pow2_5fop',['POW2_OP',['../pooling__layer_8cl.xhtml#a03898439d164d74f8c35bafb67262d95',1,'pooling_layer.cl']]],
   ['pow_5fop',['POW_OP',['../normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4',1,'normalization_layer.cl']]],
   ['ppm',['PPM',['../namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a4bb1ebdeeb70354069bc644b9c94ee5f',1,'arm_compute::utils']]],
@@ -130,13 +133,14 @@
   ['precision_5ftype',['precision_type',['../structarm__compute_1_1_i_o_format_info.xhtml#ad53ff460a7430f45c22b27aad707e41f',1,'arm_compute::IOFormatInfo']]],
   ['precisiontype',['PrecisionType',['../structarm__compute_1_1_i_o_format_info.xhtml#a36c28b28da4e04d698d6b598fb1eaca6',1,'arm_compute::IOFormatInfo']]],
   ['precommit',['PRECOMMIT',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97',1,'arm_compute::test::framework']]],
+  ['preferred_5fvector_5fwidth',['preferred_vector_width',['../namespacearm__compute.xhtml#a1bd532ddb5d86290e40c0b482eb476f2',1,'arm_compute']]],
   ['prefix',['prefix',['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a78fb15511f687fe7fdb8e3ba9613648b',1,'arm_compute::test::framework::SchedulerClock::kernel_info']]],
-  ['prepare',['prepare',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c',1,'arm_compute::graph::ExecutionTask::prepare()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMM::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLLocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLRNNLayer::prepare()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLWinogradConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCGEMM::prepare()'],['../classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26',1,'arm_compute::IFunction::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMInterleavedWrapper::prepare()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMM::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a6516a60ee54e48d9e1f5565c0b8fda5a',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMAssemblyDispatch::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NELocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NERNNLayer::prepare()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEWinogradConvolutionLayer::prepare()']]],
+  ['prepare',['prepare',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c',1,'arm_compute::graph::ExecutionTask::prepare()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMM::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLLocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLRNNLayer::prepare()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLWinogradConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCGEMM::prepare()'],['../classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26',1,'arm_compute::IFunction::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMInterleavedWrapper::prepare()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMM::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a6516a60ee54e48d9e1f5565c0b8fda5a',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMAssemblyDispatch::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NELocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NERNNLayer::prepare()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEWinogradConvolutionLayer::prepare()']]],
   ['prepare_5fall_5ftasks',['prepare_all_tasks',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a17b5e700b317feb19fc3cefd23a1d8bb',1,'arm_compute::graph::detail']]],
   ['preparea',['PrepareA',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#adcf137ac024ba559307713ace4088df7',1,'arm_gemm::StdTransformsFixed::PrepareA()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#adcf137ac024ba559307713ace4088df7',1,'arm_gemm::StdTransformsSVE::PrepareA()']]],
   ['prepareb',['PrepareB',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#aedba4df70219eb533eb0149b60ab182e',1,'arm_gemm::StdTransformsFixed::PrepareB()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#aedba4df70219eb533eb0149b60ab182e',1,'arm_gemm::StdTransformsSVE::PrepareB()']]],
   ['preprocess',['preprocess',['../classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f',1,'arm_compute::graph_utils::IPreprocessor::preprocess()'],['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666',1,'arm_compute::graph_utils::CaffePreproccessor::preprocess()'],['../classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666',1,'arm_compute::graph_utils::TFPreproccessor::preprocess()']]],
-  ['pretranspose_5fb_5farray',['pretranspose_B_array',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmInterleaved::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvBatched::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvPretransposed::pretranspose_B_array()']]],
+  ['pretranspose_5fb_5farray',['pretranspose_B_array',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmHybrid::pretranspose_B_array()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmInterleaved::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvBatched::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvPretransposed::pretranspose_B_array()']]],
   ['pretty',['PRETTY',['../namespacearm__compute_1_1test_1_1framework.xhtml#a043aa97de3c71ad015852f46ec4cc6ada2b908e3bfd5ebc739a3ce26d5045b76f',1,'arm_compute::test::framework']]],
   ['pretty_5fconsole',['pretty_console',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a49cdfd88177e934ce618157c234b7dec',1,'arm_compute::test::framework::CommonOptions']]],
   ['pretty_5ffile',['pretty_file',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a27716d4756f9401d3b30f65a3140662c',1,'arm_compute::test::framework::CommonOptions']]],
@@ -144,8 +148,6 @@
   ['prettyprinter_2ecpp',['PrettyPrinter.cpp',['../_pretty_printer_8cpp.xhtml',1,'']]],
   ['prettyprinter_2eh',['PrettyPrinter.h',['../_pretty_printer_8h.xhtml',1,'']]],
   ['print',['print',['../classarm__compute_1_1_i_tensor.xhtml#ade74189c92e70baa2848986c10dbe7ef',1,'arm_compute::ITensor::print()'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a7a7f5cb630082eeb4cd46cb6d67a2577',1,'arm_compute::logging::Printer::print()'],['../classarm__compute_1_1graph_1_1_i_graph_printer.xhtml#acdf3485abb7e3743c0a3b941bc301e55',1,'arm_compute::graph::IGraphPrinter::print()'],['../classarm__compute_1_1graph_1_1_dot_graph_printer.xhtml#a6360aacec485371990a2691002a45fe4',1,'arm_compute::graph::DotGraphPrinter::print()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a4d2a8186429cb8b469e21c03dc4c8e33',1,'arm_compute::test::framework::Printer::print()']]],
-  ['print_5fconsecutive_5felements',['print_consecutive_elements',['../namespacearm__compute.xhtml#ab345de887f15705698d993b97d848bdc',1,'arm_compute']]],
-  ['print_5fconsecutive_5felements_5fimpl',['print_consecutive_elements_impl',['../namespacearm__compute.xhtml#aa3a28b8acd21301990e06377c64e1276',1,'arm_compute']]],
   ['print_5fentry',['print_entry',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#a2a3ad8a62c2d169ba98b99fc849cb8c0',1,'arm_compute::test::framework::JSONPrinter::print_entry()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#a2a3ad8a62c2d169ba98b99fc849cb8c0',1,'arm_compute::test::framework::PrettyPrinter::print_entry()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#adac997f56174b23d4e4ec5adccf1d836',1,'arm_compute::test::framework::Printer::print_entry()']]],
   ['print_5ferror',['print_error',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#afb8becd7931a06d74a77ee9b51a67dd6',1,'arm_compute::test::framework::JSONPrinter::print_error()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#afb8becd7931a06d74a77ee9b51a67dd6',1,'arm_compute::test::framework::PrettyPrinter::print_error()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a8b879125822f4f7e70d563c4f1672942',1,'arm_compute::test::framework::Printer::print_error()']]],
   ['print_5ferrors_5ffooter',['print_errors_footer',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#a09777172c75440fb57577f538c3354fa',1,'arm_compute::test::framework::JSONPrinter::print_errors_footer()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#a09777172c75440fb57577f538c3354fa',1,'arm_compute::test::framework::PrettyPrinter::print_errors_footer()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a0aa25e682d18e48c986ed28cca43ad77',1,'arm_compute::test::framework::Printer::print_errors_footer()']]],
@@ -184,9 +186,11 @@
   ['process_5f4x_5f1y_5f1z',['PROCESS_4X_1Y_1Z',['../_g_c_direct_convolution_layer_kernel_8cpp.xhtml#ad1d4c667360c7ed862d0abd918234d93',1,'GCDirectConvolutionLayerKernel.cpp']]],
   ['process_5f4x_5f3y_5f1z',['PROCESS_4X_3Y_1Z',['../_g_c_depthwise_convolution_layer3x3_kernel_8cpp.xhtml#ad291b7b94f105f430dfd66baa77ec740',1,'PROCESS_4X_3Y_1Z():&#160;GCDepthwiseConvolutionLayer3x3Kernel.cpp'],['../_g_c_direct_convolution_layer_kernel_8cpp.xhtml#ad291b7b94f105f430dfd66baa77ec740',1,'PROCESS_4X_3Y_1Z():&#160;GCDirectConvolutionLayerKernel.cpp']]],
   ['process_5f8x_5f2y_5f1z',['PROCESS_8X_2Y_1Z',['../_g_c_direct_convolution_layer_kernel_8cpp.xhtml#a0067b16287eafbd53df0ac61c44eee71',1,'GCDirectConvolutionLayerKernel.cpp']]],
+  ['prod',['PROD',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45bac8074bb318fb85693233e64acc64c1ed',1,'arm_compute']]],
   ['producer',['producer',['../classarm__compute_1_1graph_1_1_edge.xhtml#acef46a426a99b126a412e361125f2ce9',1,'arm_compute::graph::Edge']]],
   ['producer_5fid',['producer_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#a73b54dbd7dc72560e805067f2e68207c',1,'arm_compute::graph::Edge']]],
   ['producer_5fidx',['producer_idx',['../classarm__compute_1_1graph_1_1_edge.xhtml#acacab4f2a903f45180eb30f5ef1ae678',1,'arm_compute::graph::Edge']]],
+  ['product',['product',['../reduction__operation_8cl.xhtml#ab71c1065b18391b45255b1f251b861e7',1,'reduction_operation.cl']]],
   ['profile_5fkernel',['PROFILE_KERNEL',['../profiler_8hpp.xhtml#a97f4e398174b5e094f5262e5d785ac20',1,'profiler.hpp']]],
   ['profile_5fmerge',['PROFILE_MERGE',['../profiler_8hpp.xhtml#a2f7c3e65a9ccab509d7776832f562dd0',1,'profiler.hpp']]],
   ['profile_5fprepa',['PROFILE_PREPA',['../profiler_8hpp.xhtml#ac19bf2c5c388b9fb21cd0668475b2cf7',1,'profiler.hpp']]],
diff --git a/documentation/search/all_12.html b/documentation/search/all_12.html
index 13c5263..0876adf 100644
--- a/documentation/search/all_12.html
+++ b/documentation/search/all_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_12.js b/documentation/search/all_12.js
index 0ffb32b..38b78c4 100644
--- a/documentation/search/all_12.js
+++ b/documentation/search/all_12.js
@@ -25,5 +25,6 @@
   ['quantize_5fdown_5fint32_5fto_5fuint8_5fscale_5frelu_5fcases',['quantize_down_int32_to_uint8_scale_relu_cases',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f',1,'arm_compute::test::validation']]],
   ['quantizedactivationdataset',['QuantizedActivationDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e',1,'arm_compute::test::validation']]],
   ['quantizedactivationfunctionsdataset',['QuantizedActivationFunctionsDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924',1,'arm_compute::test::validation']]],
+  ['quantizedactivationfunctionssmalldataset',['QuantizedActivationFunctionsSmallDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c4de6fef335f27d37630b6f16ed0f24',1,'arm_compute::test::validation']]],
   ['queue',['queue',['../classarm__compute_1_1_c_l_scheduler.xhtml#ad381d1aed28b4b1e1f5a710633934580',1,'arm_compute::CLScheduler']]]
 ];
diff --git a/documentation/search/all_13.html b/documentation/search/all_13.html
index b4a8bca..dc6c049 100644
--- a/documentation/search/all_13.html
+++ b/documentation/search/all_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_13.js b/documentation/search/all_13.js
index c90c9e1..f9116dd 100644
--- a/documentation/search/all_13.js
+++ b/documentation/search/all_13.js
@@ -2,10 +2,17 @@
 [
   ['r',['R',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6',1,'arm_compute']]],
   ['r_5fvalue',['r_value',['../_mali_counter_8cpp.xhtml#a736088bbd41fd7407ac9fc811864db68',1,'MaliCounter.cpp']]],
+  ['random_2eh',['Random.h',['../_random_8h.xhtml',1,'']]],
   ['randomaccessor',['RandomAccessor',['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml',1,'RandomAccessor'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a220e3aa92e1b83c41e0df00505894a5a',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(RandomAccessor &amp;&amp;)=default']]],
-  ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a39bcb5b07a60b37fb1d6b5c9f83f85e9',1,'arm_compute::IDistribution1D::range()'],['../namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649a01036ddcc971d02f6c32c3da31a119f2',1,'arm_compute::RANGE()']]],
+  ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a39bcb5b07a60b37fb1d6b5c9f83f85e9',1,'arm_compute::IDistribution1D::range()'],['../namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649a01036ddcc971d02f6c32c3da31a119f2',1,'arm_compute::RANGE()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; T &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad7059348bb7b955422375b8759747abb',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; uint8_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a212bceee8ca9a28470ed0b9576f8f0da',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; float &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af736e2b03b30fa5c7c98b387d3625f7c',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; half &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7addbd608f3a8bc3d6b7bcd8bf31d6c6',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; int8_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6683ba7c5a30679bc9d47a6a67cd85ac',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; uint16_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3ab673882fe9a507e864e4cf0377ef33',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; int16_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)']]],
+  ['range_2ecl',['range.cl',['../range_8cl.xhtml',1,'']]],
+  ['range_2ecpp',['Range.cpp',['../_c_l_2_range_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_range_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_range_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['range_2eh',['Range.h',['../_range_8h.xhtml',1,'']]],
+  ['range_5fpair',['range_pair',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#ae7cfd8e78331b6abcb10e5c35b6e3603',1,'arm_compute::utils::random::RangedUniformDistribution']]],
   ['rangedataset',['RangeDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml',1,'RangeDataset&lt; T &gt;'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a8c87c8a244d6842642bdbcf8873b1e06',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(std::string name, T start, T end, T step=1)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#abbe90a5f39f36d8160747d349be64f36',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(RangeDataset &amp;&amp;)=default']]],
   ['rangedataset_2eh',['RangeDataset.h',['../_range_dataset_8h.xhtml',1,'']]],
+  ['rangeduniformdistribution',['RangedUniformDistribution',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml',1,'RangedUniformDistribution&lt; T &gt;'],['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#acdb30d4796b1e97c4c7edd03da2b690b',1,'arm_compute::utils::random::RangedUniformDistribution::RangedUniformDistribution()']]],
+  ['rangepair',['RangePair',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a51733f705cc27b63c4be127eb50639c4',1,'arm_compute::test::AssetsLibrary']]],
   ['raw_5f',['raw_',['../structarm__compute_1_1logging_1_1_log_msg.xhtml#ab564cdace3a0a660c5a04b5f2c637213',1,'arm_compute::logging::LogMsg']]],
   ['raw_5fdata',['raw_data',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a825ce38606348c854b147f0b19afb96c',1,'arm_compute::test::framework::Measurement']]],
   ['rawlutaccessor',['RawLutAccessor',['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml',1,'RawLutAccessor&lt; T &gt;'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(std::map&lt; T, T &gt; &amp;lut)'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac73e9acd175097a3afe144cb38c1c648',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ab52bde5747185f43a35b851d202dae64',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(RawLutAccessor &amp;&amp;)=default']]],
@@ -16,21 +23,23 @@
   ['read_5ffile',['read_file',['../namespacearm__compute.xhtml#ae0d288429eb20baf6da6109f3a21e6bb',1,'arm_compute']]],
   ['read_5ftexels4',['read_texels4',['../warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1',1,'warp_helpers.h']]],
   ['real_5fclenqueuendrangekernel',['real_clEnqueueNDRangeKernel',['../classarm__compute_1_1_c_l_tuner.xhtml#a5baba955626e8da33ed5dd829a538974',1,'arm_compute::CLTuner']]],
-  ['rect',['rect',['../structarm__compute_1_1_r_o_i.xhtml#aa23d9b69995e7138751a71caf1d46429',1,'arm_compute::ROI']]],
   ['rectangle',['Rectangle',['../structarm__compute_1_1_rectangle.xhtml',1,'arm_compute']]],
   ['recurrent_5fto_5finput_5fweights',['recurrent_to_input_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996',1,'arm_compute::LSTMParams']]],
   ['red_5fcoef_5fbt709',['red_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ac3138daaa2a074986406b22ec6f3d909',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['reducemean_2ecpp',['ReduceMean.cpp',['../_c_l_2_reduce_mean_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_reduce_mean_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['reduction_5foperation',['reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0959ac5a94af6e44f1e2b3124d6511f4',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa87350949ad1bfc7a723b31f9b08bf48',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afd7d86476c9344b6efa46ea55adbaf75',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a95c09e7aaee596b93c3e688c8de5c116',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)']]],
+  ['reduction_5foperation',['reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af60a1dac48760822d607c1063ebbe6a7',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab30b1e08a80af30bfd156b37a1abb1cb',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a932891a0376da4e0e9f241198510579a',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abd88464f51da580f28e4bf4331d7971f',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)']]],
   ['reduction_5foperation_2ecl',['reduction_operation.cl',['../reduction__operation_8cl.xhtml',1,'']]],
-  ['reduction_5foperation_5fx',['reduction_operation_x',['../reduction__operation_8cl.xhtml#ad5217f43d3fd3b5af7e7f0e0dae36286',1,'reduction_operation.cl']]],
   ['reductionoperation',['ReductionOperation',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45b',1,'arm_compute']]],
   ['reductionoperation_2ecpp',['ReductionOperation.cpp',['../_c_l_2_reduction_operation_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_reduction_operation_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_reduction_operation_8cpp.xhtml',1,'(Global Namespace)']]],
   ['reductionoperation_2eh',['ReductionOperation.h',['../_reduction_operation_8h.xhtml',1,'']]],
-  ['ref_5fsrc1',['ref_src1',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa37812e34d60d0c75b47623a552b8ce',1,'arm_compute::test::validation']]],
+  ['ref_5fc',['ref_c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56dcd0ed6ea18f4694b4b81030ff384f',1,'arm_compute::test::validation']]],
+  ['ref_5fsrc',['ref_src',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80d454b3b4cf1a2b3a1e3bccc2e12ff8',1,'arm_compute::test::validation']]],
+  ['ref_5fsrc1',['ref_src1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1314e5082ccbc5c77c154d3417533493',1,'arm_compute::test::validation']]],
   ['ref_5fsrc2',['ref_src2',['../namespacearm__compute_1_1test_1_1validation.xhtml#a32648f11269b827fefc288e4d60a3507',1,'arm_compute::test::validation']]],
+  ['ref_5fx',['ref_x',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd61a7e2a0a6de7b9572fcf0a81d0999',1,'arm_compute::test::validation']]],
+  ['ref_5fy',['ref_y',['../namespacearm__compute_1_1test_1_1validation.xhtml#aefbfb6e2d75275f293020ddfa0a6a2c2',1,'arm_compute::test::validation']]],
   ['region',['region',['../classarm__compute_1_1_c_l_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::CLMemory::region() final'],['../classarm__compute_1_1_c_l_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::CLMemory::region() const final'],['../classarm__compute_1_1_g_c_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::GCMemory::region() final'],['../classarm__compute_1_1_g_c_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::GCMemory::region() const final'],['../classarm__compute_1_1_i_memory.xhtml#ab2258b6ffc84dbbb1894448c4c4ff30c',1,'arm_compute::IMemory::region()=0'],['../classarm__compute_1_1_i_memory.xhtml#a27dab25f7225ed143200b499a0ce27e8',1,'arm_compute::IMemory::region() const =0'],['../classarm__compute_1_1_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::Memory::region() final'],['../classarm__compute_1_1_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::Memory::region() const final']]],
-  ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a050ee7c30055c713d656ba73d1a9a920',1,'REGISTER_FIXTURE_DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8f717ff3fc3c08fc198699b72794909',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c6137a1a58215613a0f5b0db0fe39ee',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab5fe84e1085f741abab04b4d821123d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05ef984943c8d7da8579dfc0a5d7e99f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6629fe9c2413c8d78dbff71c3527557',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a336d334a55acab9dc40719f42a623d6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac3b83f97332d0af2c066392c0d0c385a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4ceb722841ee996004f926e323d07ddb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d7c5c1490675619b518fde0a89c334a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3110d9e17b2fed7a59da5069d55b21f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71624fad883b263ef7b1551195e19a78',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c581bbf035477ef229090525ae7d9c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4328aa51911dbced422bc5f1374c97c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8a3d4a326b999635418fd320a069e051',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b3799c76bc466c6423cf2f8a752181b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad503e02071cab2e13ef0801abdd0c341',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97550db9243678761ddb38280dd826fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f3062c305e7969eee012cf432c24596',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a124635f8b10320b4455601daf5b3c79e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8403220ebf3aefd218946561bbfd2b97',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4004862c92977b9ff4e06bc3846035b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2005c37de050ddb1b2d4bb11da0447dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a92b3ee2fcc563a0f4a44c078cc05f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb79998463382b7311bcf059d7486ec7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a49cf83c578e0ba7ba4706fb35200ae46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d68da6a68164bb16d77d1e557b20d1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36b6de2d4ed5bf8af8bd535ef38d75fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b146d2e09231c1471fc2e4bd1f3b128',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65b32653c55f72770c245d3fa4278121',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a777849e3541e0ee6639bf6e87f1975f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73e4f62985e7f7ceb19dfe45225d8b67',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a089c3967587901ac53fbae9236078b09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac70bb2f1a1f8bb55130fc1c8936c5c50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44058bc0e71c0fe1cc60e78efb2c61f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d1cefe8a632132b773f0c851663c18a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37b8e74b53fe13c61a98015e14518784',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86e82e9ff4b88f09f3e6fdcaa648e3a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeacb2c4ea3808efe7b53b8c7499fc50e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a779b3119cea86730153a49fa068d38f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a785883955ec28a4da99cfb87d75dfa8e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a374381807389133299d7ad40af1f52f9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a18d5e3cd4773c56cf110b15f4e531a66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9f22c5c84ccddd2a21ecc43e32cf62d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseSeparableConvolutionLayer, CLDepthwiseSeparableConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38f1923ee95713989bf0c88f113c6265',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, CLDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0dd702fa665a3913967d2358888a6481',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac69b8e819769eab70f8c59c2885e3413',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a670e11cac9944ed7a60800d30b35b862',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44fd9b3d4374ee2eac0bbdf47892dc7b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a21adbb35afcde51a66b4af4046ec411b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad27f2b2d0f3991cc8066efe4f6b2850a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afc8958d43d50bf76cd6bc6510f618a93',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1bf2067685426f4e637e11a153ddf149',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8d7c889387e998cc04d4b5943bd731ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72ce01118174a53114c6244cdace2942',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaff395c00ddf4de60ac3db3fa25dd839',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4bf19467c71f190f563eaff509b44496',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86fd448c4518f7bd66c0dde729795bfd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46e71c16217f24cdd0d1f929b4bbc57b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb90a54a6f00090059efd9fd4ad88b37',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Flatten, CLFlattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05d179d11539e3a2e103dd8ffcdabb6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abaaf4150acf57cdb752646732d4a8497',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb6c5a6dad25f46607bf18ba4b8a537f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0ffd1acebad54a188610ebf552682afb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad97aeefe40c8b77ebd52acf5403ba70e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a854bdabe0fa80187acfeed829fcbfee0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cc4d60e89dcd4148f61e64601cd33cc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac07c697a9fcf444cc4c40fc74cd3f2df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28897eaf05aeeec9d9c641e8d8c594af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c2eca4c70bb9efd10046abd0862ca22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf4ac350b9926548b9e5f1733c6f0b50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a67758981e21ab8f0fe4766925534bf1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c2d7327cc99d2034f1e62d683119d56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Small, CLGEMMInterleave4x4Fixture, framework::DatasetMode::ALL, small_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0f2fe468e52fdf59c6138ac8105345f5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Big, CLGEMMInterleave4x4Fixture, framework::DatasetMode::NIGHTLY, big_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1d48e15c7be8a45c2b728b5c3f06941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8efa7963298d783c90a889a0641316a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a75cd4ecf15af3d69df876354170802a8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6487e1c6181335668af736618fd75175',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::AlexNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac347366b1dc3027a3847eac3bf962411',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5c55e4bdf921ddda690999fc748dcc9c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fe5491a602d21f43582a6c152c6405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a639dead2c294e70a02dba42d89fc7470',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdbb1a633319ee35e084693b7030493d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a409f567eb6680bbbb5295c993a5b3d4d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e3e503c2b7a815297d82efc8c1961a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ea346443c42892bee3bff51d66ae13a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c52e79075ee58c3c54e2b7e41b4f68d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa381c21349af741ca7c38fe21fc839f7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83e00ebc65cd94796350dc272aef03e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab94a4e2729a6b05fc3c325ed7ac9baba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac481e46ab0f3b4c2099ef5aa6baa1158',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf51503968eff3a5682e55def86196bb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a768eb9c2b8ff754ad9874cbae0551acd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cf8721318bc0e99364e7fd7c7131d16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afed3b37f0d366e14275f0e7bc3dd57c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a303febdbb0bd20fcb08e1e9c01204a41',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a767bb4c24d3f10ef8f7df1998a7f751e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25762e1bd63d9d9ea61f686c305ddcb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9a1f8a5b4ec0e76d13b4ce08981042c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08a02d4645daa35c8682275ebd4b7631',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d30a95563225783604f9bc4875500c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a34a6a00d941e068fe8f68339ba34eae7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a298337d558d3140fbc6977ffd1dae318',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37cdd43d4e3ee5d24219b8e598b0f358',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8349a4aadac8be7ebb481554c9d9b85c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7eb5f5ab11becc4bb26ab739b98214cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dd9b9d119081dd23818b83fee75fb28',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af31dc32801e13b57ef0ba8b7c6b3d445',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acdb5d935210462b730906adfd2e166c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acec794dbb7f6c77bdefa188d83fc80c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af184664dd6a26cf0033aaa08086c8166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa02e5ce562079aab339c3ba2621119be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02ca91a6c0d63e1205a6a0b27cfabd56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d94743ce734d38d1d13fa3176f10778',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac72a34207876080af72a11fc15e486e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1fafc76fe74ce2a8778aa356d400d55',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a72dcaf1318a784cfe7a53c9ac27203',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af40b5ded15ece77611fd323c401fb826',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af5de9e9950e88b4f8ae838606730e330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97a5c3434c3234e4b1f4bb4729d4f610',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4d4104e5bf2e89104503e1605970b701',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a32d46130028346966574200df4f3400f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaeac2f5f2b60f6fcd6162630049ef1a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a23ab205742fe9cc0f257a43f11351e47',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44462bfadb6a17d68d22603e2bc21ee3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a306992d7991224f6c93ab2bd2cb8cc82',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ac9d0528424387587a34c8de12c93c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad32c7c18d077ec839615f4def1d36873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72137eb08df4d9f86b665d896e423c79',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, CLQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abd2d66b69693b552fe2b2de99dae7ccd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36a07a6af470661e63ff9c3629b4d5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645c5d8049df6be8802127b5a0f5dc6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ReshapeLayer, CLReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fac199d09d1da94a82aac9eabe53d8a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, CLROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f885760a2999df64ef74af8896f4752',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9006364fe01ad6003b9fd1e22e867f8b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a20b94f15214d7c47a2f3c5a789e4239d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7f0b47566794de8a1eba850c8a70de8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adbc6f044a841d3be870c15b2ddf20d14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a00327218cc49bc03f3b6212e511cd941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab40fb86088d18a1e1bb742593058659e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae5fb384579f031f7e2ca6a6c9e9a7bb9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7a5d7731ec1b78a57f8df17faa165cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, CLSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7309826f753a35d7d0b6894761ecfd3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, CLSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa93e0813e4037a192c5e89ceb98c4597',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a78edddf8941fa2a0f3641a30b7473330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a784d4dd06dfc9cd36022f140d40255eb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28838403c9e6de78e0174642f248e640',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3ed4058cf4b82dfdebbcc6e78a60678b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dfbc031d0c86142e4239822adf1ec66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a77b744f692f8c35220a1d905167dd262',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4133c8b0f564ccdeac225da89824553b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301b9aab3b47acf98c9ffbea1269911c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1048ec999ae340208e1a1c033a43675d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adea7f909fbd3e5d3e6c40ac5d1879719',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1557ffc6ba536038b0d16352a980eef4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2f639b10dd9b08c65f8b4c93e22f66bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2811e81083eb58ab85993bde3af7a4b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cc83b705ff514d8f5534e7da588a55f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a3f8948e3799baed18ea97248e933c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a53825ad938117a261152614438c64d50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfb690d2582dccefbb12aabda917aef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a92230b6b1264f0e6b01cfca16d6535fd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2bbd1a50f47699e52c948b924c0cb04f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a15420ab3c4bbd1b6b97f96ee053960',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdae3be6b069fcfa0a96abb07525f114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb121ec66d22b16ff2ae61dc4a8757a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae115f392f75c49dd88d7fe3f2567b4d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a114488245626540cc9bc1a825b35fb25',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3491046a5c9d60cf61951f28260a6fda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aff2e32d5a461c91f9971cc5f18890f14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47dc5b272eef08d8b7fdf3d3436fd6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95c5d5e904babdb3e0adacbad8bb8bb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9e882d1266e97a481ddd86ce669c92cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc9d22356774677325ff5d65a70c50f4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad4b857f8ad9cbade31224b8fd691ffd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a76af6c8c914c3c17f0dac65effb4a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6135ec380c0a7b25d6c7e07a4de27873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa5cc5415b680552469fa19120c900114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ead4fe11b3040de16a9e44d1d427af1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab018c842ba3a92c9d61d90ca072b3022',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5b5cc1ee4163f7b272b4b01bb244609d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aef09be0f2985dd43a15ff2aa234d82af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, GCDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a06df6e45f8c921a073b0d4be3c8ef602',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301c57132c04f7b04226118f82f9e39a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#add78c3dd5bc0df9ec1756824cfa78805',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfa88b04c050b541d8d4119884e7ebc1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dbe0bb0f37a3b84fa666d7ca16f6cbe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1547c664856478b2b22737445af290ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae601e98ed76552b28b4a31c3ba69b762',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f31c2f9a85c4b2b80475aae58655b6a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae78c5cdebb118dfe13665532177192f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec64960568d02b312e41476346b583c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a300e663e27206e0b4c86cb86b5c79227',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09732c26c355eee11819f4a82707fa50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9ebef23e7eb9aa4b8830701796dd8ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfd4f132a85967837490b52c10546879',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61889832d8d8dde590f6cf89c684368c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08de795101191f4855d91695dd4c9252',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41ee1666a1552bcdaff9b8ece34da221',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad188d3a8f5f935bd7f3a76a5d01cfa1e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cca624618c04b68b590a11c25aa6991',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a924d18348cb58e58237cb8166eb5f89a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf1f53b508211bdce9df8f414d7631d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6f7cb8f52316219cc1aa283f62974e84',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a728cadcb1212e943b39b36991782cbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, GCGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b7b455c07d599085a0a542b9b2fb94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4NormalizePlanarYUVLayer, GCNormalizePlanarYUVLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46a465db5b9971a1c8fd7565f662d84d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31abe9383857109b70df7ce609e7dd98',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3819a5acaf865c8e1ef0ea2db1c20b89',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac090413c838baf960868dd77ed4b9f02',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af8b0084d13fd87fb5ff49680a0be7757',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8875137faa40cc6ec1ac1e2f9bdd405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac46fd1e4ec1f7e81e40a98dc1f65260f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7e685e7da2bc543450b1e0ca0d7aa421',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65f9b4d1f9d65090766c9a2d47d3be4c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab782809f4a63350a671e38da61888ccb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a82524eed2c8d16db8611512881da13b1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae4637a919829ea2404b266155a578cdd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad92aa2e55292d58a8dfdcf8f1aee19a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d0cd3ce5a722b28590e2994cb96ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d1cfb07aed28f2eceead2e9fe638f09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24c2c410f8b24d6d20b66a3f8f89e6bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LargeScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::LargeScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b6123139b38becb150b3c6951f6340',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf9cd56222ef78a33a938c301bf56338',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afe85d1bcce6077f33f0faf9299dd5d76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30e82c7a9c701ffc580f8f78450edb63',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae2a4f34d394cf250046374e9456099e9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6b485d855f34043c09be7efb438cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a194ce865169bf399932dafeafc2c2415',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80f6971287fad7f1104d501d951ed905',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af187c18fa8b1e30e140926d7e808d433',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad3dd59ecea895a1b783a49e00a5067c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cd53ae7bbc8025595e65ef8cdefa531',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8bf01762a593a19b5907ecdc99de57dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1990f5acf59bcbaeb2cd0951c4779c3d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2a2e751a377da9a31eef6960da4cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86764fdd8961d92d8065366d5245bd6c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfa87d4b24c094169da9bd340ce98280',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aa94d36ece5e7970d0168c173e3ad3f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf80bd27d4a6c988f22f89d2667e77fa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3704657a587916b2b0f688082b53fa6d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17a9073f5270b0d202815413a541cc80',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09f8fb04a7375bf4a0ce27af805911a3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80860945328cd5da627d979d5c0485ae',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace12ed82a92dce7a3bc3ffacb6b7e58d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16f671e2af5cb9687d10393a9495acc7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a727091446d370d4c533f7fc4267ef6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0a10501d43bf31dde16815cdcb223984',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93331fe3f64bef02fbf8689e004ea926',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c9d1c42998e67b51cd4f9c8fef58709',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4adf2c31c9668a635ba7a16620eac36e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a177a877f56d3311b7f4bd4d7f24b19fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0de424b12484ba2cad2fb4aa5e0a840a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f7df98385513ab246a09f26ec53f7d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad14a5471a936562e38e9443b3fc80dc9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ada77cb4a0d44ccda26b8770188e9bf6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb0f8798014e59e07214939e62a88172',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d06c39d80a4ed2e52ce9f071760b5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d0a8409b71d2cd895507345570ab736',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abda62451c0731d19b121142c69d575b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a87a623a31a7e1be53583999dbd81b0ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc0656cf27fc23a2b77a2a37eacb2c27',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9fee2e9fde80ef64eeab5295d49198f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdec8ccdaf630613d37cd4923c98093f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46f8d142c65bbea99e44da409807c761',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa642990b61d14397ac4bfa6900f98188',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a229c50f5995c6fb037a0fbe6496b942e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a15211414bb92e3100470dc74a5d39a0f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a557bfa30aa3ff122c773f64f487bff42',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ade6bf311a285336931b6265819eba73c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a52e53990877cd44d2ab1c236c2c83c76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6a3f2454c7c432c9ee688590ea2178f8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31536797434dcde02c80e3f3a0296300',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a07c625bb00238c503b8cb61e6b4efba5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a79f2694d9c9b93236bcc627d4f53377c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38961bb09686a79e580e8dd04d0006cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ed302d084b8a7f4a9ff088cf53694e1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e09ab22541be863c2e1044e96448ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac37dfb4d68f4e9b7dd53f022d3a71ca5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ff0a8211ae74af972ba9254ac68088a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ccfb3ac37783e9edaa794bd932fc10f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae64ea047f5fecc53c38f44edfc2f9e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4289ff786f50f37426620089776e4e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6e9ac9c1caa8ef81f7a49cadfd3f566e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d7d9dab9b30acc5be85c0cafc665f3c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeaa7ae7e6c5bcab28477975a78a4a615',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeb5f6615f1eed518fd622d512a0f52bd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acaa44fb5402f3a53408ca20473ebee7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a120a0568f2011c0f2662cf2f635d6a92',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa24183d5951a857dc215ea274d972ebc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4880fe8eeacc7495b786b047253c2343',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2cc7903afaf24db2e46932282848f046',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1aaab2bc13204f6628293fab8b81c23',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25703347a0c587f054c3d45d02876248',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59af54856391ed6a9ecc6d3a64551a06',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad943d9452638fb102706db92112d5f75',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ae2d33127b4e582a68d072b3569a7a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, NEDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a35b38e85b1472199517852b2a08f3de5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8df5d9aaa2811d4f3e08406689ff34d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7093f92dbaff59384b610ddf5190e194',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17ffb70ec6a66463634d219e4683da95',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80fea95594b6c37134e8dbad8a3d09b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a697d50481845dae362eed1cecce8a85a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afd91714995b912e44692139f9f7917f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1929ec4e9f107b414583906f986d8571',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad11bc1cc961bcd4fd3228280e8ded24c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d00b1986a7944db488cdeeaf50f32f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dcda471facdd859544dba0e88d73c29',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ce4636544f6f3aa1eb2a5ad1265c9ce',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf22ffe7b0feee1f55b07d918953c1e5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16dd7600cea9274280c53f3b2374018d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af87e31c7c9788c66acfa2b37edd303cd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FlattenLayer, NEFllattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6426d9dab3e82b38f5b47c8eb04aff96',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1e674082c974b9a273a1a6c49d2dc878',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#addfb561cc0a06a5c08fc650f6a5a7ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c5501211b852813f78d003ff62de167',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1d0001ec4a8ee0902c476630f9c5c3e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a170cbe81df505d952fa5d37a5aa69fc8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af44a72e7bb01707603a88217ab068e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a753d5f7db47643e3d4bfb636fcba2641',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ac1a0e4495c15edecb866448ac0ef11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af0ef4c568a945a479c090b9f5f6c9216',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af30496a8f903bf030a46e301ad3d37e4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfc83e6a68ae2bfa9028fe1f4f4f9489',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4130928c451203d11b950d806033a3da',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab20fc35760f27f4188de749a820955ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afa18e5d4c46dcd54694860f26ed45aa8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a349033f2a23697ed336112498589ae85',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8eb88949d8429aca7cdac6ddcee97ad',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Small, NEGEMMInterleave4x4Fixture, framework::DatasetMode::ALL, small_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf7e8794e5ea012ce4d355f1d6d20e1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Big, NEGEMMInterleave4x4Fixture, framework::DatasetMode::NIGHTLY, big_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f26adaebbdf28ebe92a33a8a4e833e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5e8fe1ef996dfe0ec45e8976fa16aa7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a410d3f62b50597ac16057cc8553c9b4e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad65e9549e68a0293552a8b73130d8fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab56c4df58f3f00d41df0eb7af2e4433b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8119c95e4a5f59485a98082cb62130b7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a84684a7158dec308c7f3fc75d03c0e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab33fdf235a708613adfb53d1b7db5739',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9dc9d705611669b387e0ec0db1fed1d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cfc1a0822ec74c78c85170085b4a166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02d388ce0aaa3f046acc5005e74a4da3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57528fa93bdde8a61964014f39865021',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04f4f6ca47e16cdf5a94b740a8394d01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7d62fc3fc234b6b8ed133d02a152e86',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a445627eab55cf7e8d35a3d6b8012db57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ffd14f8f46cc989a288b81c5b090ff2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7fc83503c9e5028afbc698335a7f7a54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a833c2620a79106b76c9e1edab3e7769c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad85f4086eab6de98194f326a4b635450',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a227fe287f288276cd9dc8538cc6d3fea',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9bddb5e41b925cacac06899120495b54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ae24eef22cb5f8f964a60a61cdaa453',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab6fdadbf82a2d2bdcc1e241abf0b5501',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1e1822e12bfd1cd8521817f806e278f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95b806569fe42bd36910e21d1679a786',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b7b29cde73a0869c1a29a3cf4b7fdd4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2ec80a73c4d2985f707e942343b6606',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeee4ba3016231917563b40f161815430',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af714566539a21e39c124940925978f9e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6c541608c6fedf7043ff687fb2e027a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3bdd2d29095692096ce524edac7e516',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaa6f215191d7304e523d8bfab9bf517d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7afa86fe61a4d4a0de8ae9456fb3d9b8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cb2c48b101fa61581a643a61feb6522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57bfc96665657ab37d10af783791cd01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f40a5cef95f9852dde086ef4574aa11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1403a63e94c3197d93ed462e1128b1fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aefa2bb4e6caf6e34154827361a0705e2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af24caacc20302d86a5776ce647aecc8f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a8c93750692d748602976a79d63a409',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c3bb6166f756cef06811f326a7d9c46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae860380f4b6dbc090d8e71ba36e4fdd8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa0daa8f9d0d130847b947fd4ae56e919',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30df2f9e500ac44da9b82fa64c640731',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad67e44287b7094f5c28234c64dedf83e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04fa5154efc283b2234ab8fb44869176',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2e2dc939e5f46c7f75019f1db788c34',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a747d9bc055986e09d11565be07a8ce31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa7c44a359be63e92bb39253dd4d2724f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aea7e4ed3efceb7e41c2bea91235ff0b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a157e951ba958c0f8fd985b6a056a19f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa20951eb44cc8a80c022752025a9c64a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1a415974472765d6985031853420a7f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ec9e5d7a877be057d6dd4cf14a92b66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, NEQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a716888d24c4863d6af8b757c22be524a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7984b4301667b336d9230bd3666352c2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95843823aad3b52cbd8a573573a7896c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Reshape, NEReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af28c0363e36e9ef1df9ee1e1cf1f04b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, NEROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3fc4871eea05243c9bd01a5e0043b7df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace4720989cea42c4f2ef64175355fc52',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad4f51211d330c936ba68a9e6dcd5ecd7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a48888b1f732b75f9e0c3f52b2eca3b35',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace95c1e9ff286e28d94624830f3b8eb1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2efd8b626becc95cc4c683cea7bcb0ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59b7b4c2043abe77363c1026b836f6a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc4ce2982d2cad5106de5cec8b78ebb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adcc030b3d6973f4cda3e6346f36601f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, NESoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1ee133304fd83360d6082e5110e45dbd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adab32c907c1b1085676f7bd8467e31c6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af02a31727fe5148b0e6738d341127f16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8c90cb4df98ef8f2fdceb6c2065accfa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a085f4c3829fae0cd8cf50b2a5d7bd425',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))']]],
+  ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a050ee7c30055c713d656ba73d1a9a920',1,'REGISTER_FIXTURE_DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a26d2c096943c3472db3273f5abff57be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61b437e2b1664780b6706b6b1b3f4135',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d0142c092bc1c96961cf1ff8b64a536',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa4635e5c305c338e9f9544d554fc91d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38b009261ccad458c4835c521ed33a94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24f2b494f690a28503af0732c67a588e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac3b83f97332d0af2c066392c0d0c385a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4ceb722841ee996004f926e323d07ddb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d7c5c1490675619b518fde0a89c334a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3110d9e17b2fed7a59da5069d55b21f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71624fad883b263ef7b1551195e19a78',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c581bbf035477ef229090525ae7d9c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4328aa51911dbced422bc5f1374c97c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8a3d4a326b999635418fd320a069e051',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b3799c76bc466c6423cf2f8a752181b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad503e02071cab2e13ef0801abdd0c341',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97550db9243678761ddb38280dd826fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f3062c305e7969eee012cf432c24596',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a124635f8b10320b4455601daf5b3c79e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8403220ebf3aefd218946561bbfd2b97',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4004862c92977b9ff4e06bc3846035b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2005c37de050ddb1b2d4bb11da0447dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a92b3ee2fcc563a0f4a44c078cc05f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb79998463382b7311bcf059d7486ec7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a49cf83c578e0ba7ba4706fb35200ae46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d68da6a68164bb16d77d1e557b20d1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36b6de2d4ed5bf8af8bd535ef38d75fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b146d2e09231c1471fc2e4bd1f3b128',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65b32653c55f72770c245d3fa4278121',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a777849e3541e0ee6639bf6e87f1975f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73e4f62985e7f7ceb19dfe45225d8b67',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a089c3967587901ac53fbae9236078b09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac70bb2f1a1f8bb55130fc1c8936c5c50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44058bc0e71c0fe1cc60e78efb2c61f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d1cefe8a632132b773f0c851663c18a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37b8e74b53fe13c61a98015e14518784',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86e82e9ff4b88f09f3e6fdcaa648e3a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeacb2c4ea3808efe7b53b8c7499fc50e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a779b3119cea86730153a49fa068d38f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a785883955ec28a4da99cfb87d75dfa8e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a374381807389133299d7ad40af1f52f9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a18d5e3cd4773c56cf110b15f4e531a66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9f22c5c84ccddd2a21ecc43e32cf62d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseSeparableConvolutionLayer, CLDepthwiseSeparableConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38f1923ee95713989bf0c88f113c6265',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, CLDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0dd702fa665a3913967d2358888a6481',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac69b8e819769eab70f8c59c2885e3413',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a670e11cac9944ed7a60800d30b35b862',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44fd9b3d4374ee2eac0bbdf47892dc7b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a21adbb35afcde51a66b4af4046ec411b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad27f2b2d0f3991cc8066efe4f6b2850a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afc8958d43d50bf76cd6bc6510f618a93',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1bf2067685426f4e637e11a153ddf149',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8d7c889387e998cc04d4b5943bd731ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72ce01118174a53114c6244cdace2942',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaff395c00ddf4de60ac3db3fa25dd839',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4bf19467c71f190f563eaff509b44496',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86fd448c4518f7bd66c0dde729795bfd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46e71c16217f24cdd0d1f929b4bbc57b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb90a54a6f00090059efd9fd4ad88b37',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Flatten, CLFlattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05d179d11539e3a2e103dd8ffcdabb6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abaaf4150acf57cdb752646732d4a8497',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb6c5a6dad25f46607bf18ba4b8a537f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0ffd1acebad54a188610ebf552682afb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad97aeefe40c8b77ebd52acf5403ba70e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a854bdabe0fa80187acfeed829fcbfee0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cc4d60e89dcd4148f61e64601cd33cc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac07c697a9fcf444cc4c40fc74cd3f2df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28897eaf05aeeec9d9c641e8d8c594af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c2eca4c70bb9efd10046abd0862ca22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf4ac350b9926548b9e5f1733c6f0b50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a67758981e21ab8f0fe4766925534bf1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1d48e15c7be8a45c2b728b5c3f06941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8efa7963298d783c90a889a0641316a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a75cd4ecf15af3d69df876354170802a8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6487e1c6181335668af736618fd75175',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::AlexNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac347366b1dc3027a3847eac3bf962411',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5c55e4bdf921ddda690999fc748dcc9c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fe5491a602d21f43582a6c152c6405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a639dead2c294e70a02dba42d89fc7470',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdbb1a633319ee35e084693b7030493d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a409f567eb6680bbbb5295c993a5b3d4d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e3e503c2b7a815297d82efc8c1961a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ea346443c42892bee3bff51d66ae13a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c52e79075ee58c3c54e2b7e41b4f68d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa381c21349af741ca7c38fe21fc839f7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83e00ebc65cd94796350dc272aef03e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab94a4e2729a6b05fc3c325ed7ac9baba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac481e46ab0f3b4c2099ef5aa6baa1158',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf51503968eff3a5682e55def86196bb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a768eb9c2b8ff754ad9874cbae0551acd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cf8721318bc0e99364e7fd7c7131d16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afed3b37f0d366e14275f0e7bc3dd57c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a303febdbb0bd20fcb08e1e9c01204a41',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a767bb4c24d3f10ef8f7df1998a7f751e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25762e1bd63d9d9ea61f686c305ddcb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9a1f8a5b4ec0e76d13b4ce08981042c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08a02d4645daa35c8682275ebd4b7631',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d30a95563225783604f9bc4875500c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a34a6a00d941e068fe8f68339ba34eae7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a298337d558d3140fbc6977ffd1dae318',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37cdd43d4e3ee5d24219b8e598b0f358',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8349a4aadac8be7ebb481554c9d9b85c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7eb5f5ab11becc4bb26ab739b98214cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dd9b9d119081dd23818b83fee75fb28',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af31dc32801e13b57ef0ba8b7c6b3d445',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acdb5d935210462b730906adfd2e166c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acec794dbb7f6c77bdefa188d83fc80c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af184664dd6a26cf0033aaa08086c8166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa02e5ce562079aab339c3ba2621119be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02ca91a6c0d63e1205a6a0b27cfabd56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d94743ce734d38d1d13fa3176f10778',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac72a34207876080af72a11fc15e486e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1fafc76fe74ce2a8778aa356d400d55',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a72dcaf1318a784cfe7a53c9ac27203',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af40b5ded15ece77611fd323c401fb826',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af5de9e9950e88b4f8ae838606730e330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97a5c3434c3234e4b1f4bb4729d4f610',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4d4104e5bf2e89104503e1605970b701',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a32d46130028346966574200df4f3400f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaeac2f5f2b60f6fcd6162630049ef1a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a23ab205742fe9cc0f257a43f11351e47',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44462bfadb6a17d68d22603e2bc21ee3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a306992d7991224f6c93ab2bd2cb8cc82',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ac9d0528424387587a34c8de12c93c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad32c7c18d077ec839615f4def1d36873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72137eb08df4d9f86b665d896e423c79',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, CLQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abd2d66b69693b552fe2b2de99dae7ccd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36a07a6af470661e63ff9c3629b4d5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645c5d8049df6be8802127b5a0f5dc6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ReshapeLayer, CLReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaf09547cb7c655a676a5820cc4ca8dee',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerHalf, CLROIPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a462f553ba4c003d4eee2f06e27449db4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, CLROIPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f885760a2999df64ef74af8896f4752',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9006364fe01ad6003b9fd1e22e867f8b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a20b94f15214d7c47a2f3c5a789e4239d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7f0b47566794de8a1eba850c8a70de8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adbc6f044a841d3be870c15b2ddf20d14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a00327218cc49bc03f3b6212e511cd941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab40fb86088d18a1e1bb742593058659e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae5fb384579f031f7e2ca6a6c9e9a7bb9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7a5d7731ec1b78a57f8df17faa165cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, CLSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7309826f753a35d7d0b6894761ecfd3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, CLSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa93e0813e4037a192c5e89ceb98c4597',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a78edddf8941fa2a0f3641a30b7473330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a784d4dd06dfc9cd36022f140d40255eb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28838403c9e6de78e0174642f248e640',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3ed4058cf4b82dfdebbcc6e78a60678b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dfbc031d0c86142e4239822adf1ec66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a77b744f692f8c35220a1d905167dd262',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4133c8b0f564ccdeac225da89824553b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301b9aab3b47acf98c9ffbea1269911c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1048ec999ae340208e1a1c033a43675d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adea7f909fbd3e5d3e6c40ac5d1879719',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1557ffc6ba536038b0d16352a980eef4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2f639b10dd9b08c65f8b4c93e22f66bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2811e81083eb58ab85993bde3af7a4b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cc83b705ff514d8f5534e7da588a55f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a3f8948e3799baed18ea97248e933c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a53825ad938117a261152614438c64d50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfb690d2582dccefbb12aabda917aef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a92230b6b1264f0e6b01cfca16d6535fd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2bbd1a50f47699e52c948b924c0cb04f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a15420ab3c4bbd1b6b97f96ee053960',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdae3be6b069fcfa0a96abb07525f114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb121ec66d22b16ff2ae61dc4a8757a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae115f392f75c49dd88d7fe3f2567b4d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a114488245626540cc9bc1a825b35fb25',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3491046a5c9d60cf61951f28260a6fda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aff2e32d5a461c91f9971cc5f18890f14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47dc5b272eef08d8b7fdf3d3436fd6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95c5d5e904babdb3e0adacbad8bb8bb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9e882d1266e97a481ddd86ce669c92cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc9d22356774677325ff5d65a70c50f4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad4b857f8ad9cbade31224b8fd691ffd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a76af6c8c914c3c17f0dac65effb4a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6135ec380c0a7b25d6c7e07a4de27873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa5cc5415b680552469fa19120c900114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ead4fe11b3040de16a9e44d1d427af1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab018c842ba3a92c9d61d90ca072b3022',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5b5cc1ee4163f7b272b4b01bb244609d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aef09be0f2985dd43a15ff2aa234d82af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, GCDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a06df6e45f8c921a073b0d4be3c8ef602',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301c57132c04f7b04226118f82f9e39a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#add78c3dd5bc0df9ec1756824cfa78805',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfa88b04c050b541d8d4119884e7ebc1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dbe0bb0f37a3b84fa666d7ca16f6cbe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1547c664856478b2b22737445af290ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae601e98ed76552b28b4a31c3ba69b762',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f31c2f9a85c4b2b80475aae58655b6a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae78c5cdebb118dfe13665532177192f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec64960568d02b312e41476346b583c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a300e663e27206e0b4c86cb86b5c79227',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09732c26c355eee11819f4a82707fa50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9ebef23e7eb9aa4b8830701796dd8ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfd4f132a85967837490b52c10546879',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61889832d8d8dde590f6cf89c684368c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08de795101191f4855d91695dd4c9252',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41ee1666a1552bcdaff9b8ece34da221',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad188d3a8f5f935bd7f3a76a5d01cfa1e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cca624618c04b68b590a11c25aa6991',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a924d18348cb58e58237cb8166eb5f89a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf1f53b508211bdce9df8f414d7631d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6f7cb8f52316219cc1aa283f62974e84',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a728cadcb1212e943b39b36991782cbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, GCGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b7b455c07d599085a0a542b9b2fb94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4NormalizePlanarYUVLayer, GCNormalizePlanarYUVLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46a465db5b9971a1c8fd7565f662d84d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31abe9383857109b70df7ce609e7dd98',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3819a5acaf865c8e1ef0ea2db1c20b89',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac090413c838baf960868dd77ed4b9f02',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af8b0084d13fd87fb5ff49680a0be7757',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8875137faa40cc6ec1ac1e2f9bdd405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac46fd1e4ec1f7e81e40a98dc1f65260f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7e685e7da2bc543450b1e0ca0d7aa421',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65f9b4d1f9d65090766c9a2d47d3be4c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab782809f4a63350a671e38da61888ccb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a82524eed2c8d16db8611512881da13b1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae4637a919829ea2404b266155a578cdd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad92aa2e55292d58a8dfdcf8f1aee19a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d0cd3ce5a722b28590e2994cb96ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d1cfb07aed28f2eceead2e9fe638f09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24c2c410f8b24d6d20b66a3f8f89e6bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LargeScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::LargeScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b6123139b38becb150b3c6951f6340',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf9cd56222ef78a33a938c301bf56338',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afe85d1bcce6077f33f0faf9299dd5d76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30e82c7a9c701ffc580f8f78450edb63',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae2a4f34d394cf250046374e9456099e9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6b485d855f34043c09be7efb438cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a194ce865169bf399932dafeafc2c2415',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80f6971287fad7f1104d501d951ed905',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af187c18fa8b1e30e140926d7e808d433',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad3dd59ecea895a1b783a49e00a5067c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cd53ae7bbc8025595e65ef8cdefa531',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8bf01762a593a19b5907ecdc99de57dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1990f5acf59bcbaeb2cd0951c4779c3d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2a2e751a377da9a31eef6960da4cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86764fdd8961d92d8065366d5245bd6c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfa87d4b24c094169da9bd340ce98280',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aa94d36ece5e7970d0168c173e3ad3f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf80bd27d4a6c988f22f89d2667e77fa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3704657a587916b2b0f688082b53fa6d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17a9073f5270b0d202815413a541cc80',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09f8fb04a7375bf4a0ce27af805911a3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80860945328cd5da627d979d5c0485ae',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace12ed82a92dce7a3bc3ffacb6b7e58d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16f671e2af5cb9687d10393a9495acc7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a727091446d370d4c533f7fc4267ef6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0a10501d43bf31dde16815cdcb223984',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93331fe3f64bef02fbf8689e004ea926',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c9d1c42998e67b51cd4f9c8fef58709',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4adf2c31c9668a635ba7a16620eac36e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a177a877f56d3311b7f4bd4d7f24b19fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0de424b12484ba2cad2fb4aa5e0a840a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f7df98385513ab246a09f26ec53f7d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad14a5471a936562e38e9443b3fc80dc9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ada77cb4a0d44ccda26b8770188e9bf6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb0f8798014e59e07214939e62a88172',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d06c39d80a4ed2e52ce9f071760b5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d0a8409b71d2cd895507345570ab736',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abda62451c0731d19b121142c69d575b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a87a623a31a7e1be53583999dbd81b0ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc0656cf27fc23a2b77a2a37eacb2c27',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9fee2e9fde80ef64eeab5295d49198f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdec8ccdaf630613d37cd4923c98093f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46f8d142c65bbea99e44da409807c761',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa642990b61d14397ac4bfa6900f98188',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a229c50f5995c6fb037a0fbe6496b942e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a15211414bb92e3100470dc74a5d39a0f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a557bfa30aa3ff122c773f64f487bff42',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ade6bf311a285336931b6265819eba73c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a52e53990877cd44d2ab1c236c2c83c76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6a3f2454c7c432c9ee688590ea2178f8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31536797434dcde02c80e3f3a0296300',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a07c625bb00238c503b8cb61e6b4efba5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a79f2694d9c9b93236bcc627d4f53377c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38961bb09686a79e580e8dd04d0006cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ed302d084b8a7f4a9ff088cf53694e1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e09ab22541be863c2e1044e96448ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac37dfb4d68f4e9b7dd53f022d3a71ca5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ff0a8211ae74af972ba9254ac68088a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ccfb3ac37783e9edaa794bd932fc10f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae64ea047f5fecc53c38f44edfc2f9e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4289ff786f50f37426620089776e4e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6e9ac9c1caa8ef81f7a49cadfd3f566e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d7d9dab9b30acc5be85c0cafc665f3c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeaa7ae7e6c5bcab28477975a78a4a615',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeb5f6615f1eed518fd622d512a0f52bd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acaa44fb5402f3a53408ca20473ebee7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a120a0568f2011c0f2662cf2f635d6a92',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa24183d5951a857dc215ea274d972ebc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4880fe8eeacc7495b786b047253c2343',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2cc7903afaf24db2e46932282848f046',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1aaab2bc13204f6628293fab8b81c23',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25703347a0c587f054c3d45d02876248',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59af54856391ed6a9ecc6d3a64551a06',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad943d9452638fb102706db92112d5f75',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ae2d33127b4e582a68d072b3569a7a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, NEDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a35b38e85b1472199517852b2a08f3de5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8df5d9aaa2811d4f3e08406689ff34d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7093f92dbaff59384b610ddf5190e194',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17ffb70ec6a66463634d219e4683da95',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80fea95594b6c37134e8dbad8a3d09b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a697d50481845dae362eed1cecce8a85a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afd91714995b912e44692139f9f7917f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1929ec4e9f107b414583906f986d8571',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad11bc1cc961bcd4fd3228280e8ded24c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d00b1986a7944db488cdeeaf50f32f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dcda471facdd859544dba0e88d73c29',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ce4636544f6f3aa1eb2a5ad1265c9ce',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf22ffe7b0feee1f55b07d918953c1e5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16dd7600cea9274280c53f3b2374018d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af87e31c7c9788c66acfa2b37edd303cd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FlattenLayer, NEFllattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6426d9dab3e82b38f5b47c8eb04aff96',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1e674082c974b9a273a1a6c49d2dc878',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#addfb561cc0a06a5c08fc650f6a5a7ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c5501211b852813f78d003ff62de167',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1d0001ec4a8ee0902c476630f9c5c3e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a170cbe81df505d952fa5d37a5aa69fc8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af44a72e7bb01707603a88217ab068e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a753d5f7db47643e3d4bfb636fcba2641',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ac1a0e4495c15edecb866448ac0ef11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af0ef4c568a945a479c090b9f5f6c9216',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af30496a8f903bf030a46e301ad3d37e4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfc83e6a68ae2bfa9028fe1f4f4f9489',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4130928c451203d11b950d806033a3da',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab20fc35760f27f4188de749a820955ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afa18e5d4c46dcd54694860f26ed45aa8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a349033f2a23697ed336112498589ae85',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f26adaebbdf28ebe92a33a8a4e833e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5e8fe1ef996dfe0ec45e8976fa16aa7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a410d3f62b50597ac16057cc8553c9b4e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad65e9549e68a0293552a8b73130d8fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab56c4df58f3f00d41df0eb7af2e4433b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8119c95e4a5f59485a98082cb62130b7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a84684a7158dec308c7f3fc75d03c0e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab33fdf235a708613adfb53d1b7db5739',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9dc9d705611669b387e0ec0db1fed1d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cfc1a0822ec74c78c85170085b4a166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02d388ce0aaa3f046acc5005e74a4da3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57528fa93bdde8a61964014f39865021',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04f4f6ca47e16cdf5a94b740a8394d01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7d62fc3fc234b6b8ed133d02a152e86',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a445627eab55cf7e8d35a3d6b8012db57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ffd14f8f46cc989a288b81c5b090ff2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7fc83503c9e5028afbc698335a7f7a54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a833c2620a79106b76c9e1edab3e7769c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad85f4086eab6de98194f326a4b635450',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a227fe287f288276cd9dc8538cc6d3fea',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9bddb5e41b925cacac06899120495b54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ae24eef22cb5f8f964a60a61cdaa453',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab6fdadbf82a2d2bdcc1e241abf0b5501',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1e1822e12bfd1cd8521817f806e278f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95b806569fe42bd36910e21d1679a786',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b7b29cde73a0869c1a29a3cf4b7fdd4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2ec80a73c4d2985f707e942343b6606',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeee4ba3016231917563b40f161815430',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af714566539a21e39c124940925978f9e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6c541608c6fedf7043ff687fb2e027a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3bdd2d29095692096ce524edac7e516',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaa6f215191d7304e523d8bfab9bf517d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7afa86fe61a4d4a0de8ae9456fb3d9b8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cb2c48b101fa61581a643a61feb6522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57bfc96665657ab37d10af783791cd01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f40a5cef95f9852dde086ef4574aa11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1403a63e94c3197d93ed462e1128b1fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aefa2bb4e6caf6e34154827361a0705e2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af24caacc20302d86a5776ce647aecc8f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a8c93750692d748602976a79d63a409',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c3bb6166f756cef06811f326a7d9c46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae860380f4b6dbc090d8e71ba36e4fdd8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa0daa8f9d0d130847b947fd4ae56e919',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30df2f9e500ac44da9b82fa64c640731',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad67e44287b7094f5c28234c64dedf83e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04fa5154efc283b2234ab8fb44869176',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2e2dc939e5f46c7f75019f1db788c34',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a747d9bc055986e09d11565be07a8ce31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa7c44a359be63e92bb39253dd4d2724f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aea7e4ed3efceb7e41c2bea91235ff0b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a157e951ba958c0f8fd985b6a056a19f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa20951eb44cc8a80c022752025a9c64a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1a415974472765d6985031853420a7f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ec9e5d7a877be057d6dd4cf14a92b66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, NEQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a716888d24c4863d6af8b757c22be524a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7984b4301667b336d9230bd3666352c2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95843823aad3b52cbd8a573573a7896c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Reshape, NEReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a163aa89fe219b033b59a1163a6b3dd9d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, NEROIPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3fc4871eea05243c9bd01a5e0043b7df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace4720989cea42c4f2ef64175355fc52',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad4f51211d330c936ba68a9e6dcd5ecd7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a48888b1f732b75f9e0c3f52b2eca3b35',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace95c1e9ff286e28d94624830f3b8eb1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2efd8b626becc95cc4c683cea7bcb0ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59b7b4c2043abe77363c1026b836f6a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc4ce2982d2cad5106de5cec8b78ebb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adcc030b3d6973f4cda3e6346f36601f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, NESoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1ee133304fd83360d6082e5110e45dbd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adab32c907c1b1085676f7bd8467e31c6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af02a31727fe5148b0e6738d341127f16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8c90cb4df98ef8f2fdceb6c2065accfa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a085f4c3829fae0cd8cf50b2a5d7bd425',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))']]],
   ['register_5ffixture_5fdata_5ftest_5fcase_5fimpl',['REGISTER_FIXTURE_DATA_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a0e9639d43f395accacbefdbf368f7ca0',1,'Macros.h']]],
   ['register_5ffixture_5ftest_5fcase',['REGISTER_FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#ac39772d06a4784bffc30fbe8a66ae1be',1,'Macros.h']]],
   ['register_5ffixture_5ftest_5fcase_5fimpl',['REGISTER_FIXTURE_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#aea955b85cfaf872bc064b0e34a7cb7db',1,'Macros.h']]],
@@ -47,7 +56,7 @@
   ['release_5fif_5funused',['release_if_unused',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::CLSubTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::CLTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::GCTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::NESubTensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214',1,'arm_compute::graph::backends::NETensorHandle::release_if_unused()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#abbc6c72c0ecfa294674f11e9e63a7779',1,'arm_compute::graph::ITensorHandle::release_if_unused()']]],
   ['release_5fpool',['release_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#afb8e8d8fbcedfdb45e2b0c07571dd987',1,'arm_compute::IPoolManager::release_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#ab8959b1c8bd6265ff3d39623db34505b',1,'arm_compute::PoolManager::release_pool()']]],
   ['release_5funused_5ftensors',['release_unused_tensors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a28280ac6b0db4c2385ac8c18a4ad8f3c',1,'arm_compute::graph::detail']]],
-  ['relu',['relu',['../structarm__compute_1_1detail_1_1relu.xhtml',1,'relu&lt; T, S &gt;'],['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c',1,'arm_compute::ActivationLayerInfo::RELU()'],['../structarm__compute_1_1detail_1_1relu.xhtml#afa289c53544950f1d702ac963124a5c8',1,'arm_compute::detail::relu::relu()']]],
+  ['relu',['relu',['../structarm__compute_1_1detail_1_1relu.xhtml',1,'relu&lt; T, S &gt;'],['../structarm__compute_1_1detail_1_1relu.xhtml#afa289c53544950f1d702ac963124a5c8',1,'arm_compute::detail::relu::relu()'],['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c',1,'arm_compute::ActivationLayerInfo::RELU()']]],
   ['relu_5fop',['relu_op',['../activation__layer__qa8_8cl.xhtml#a75e592782269093560081144973b1227',1,'activation_layer_qa8.cl']]],
   ['remap',['remap',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed42c1608aca814177de65bc078660c9',1,'arm_compute::test::validation::reference::remap(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;map_x, SimpleTensor&lt; float &gt; &amp;map_y, SimpleTensor&lt; T &gt; &amp;valid_mask, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae76991329781f552c3a2d66a9dd5af79',1,'arm_compute::test::validation::reference::remap(const SimpleTensor&lt; uint8_t &gt; &amp;src, SimpleTensor&lt; float &gt; &amp;map_x, SimpleTensor&lt; float &gt; &amp;map_y, SimpleTensor&lt; uint8_t &gt; &amp;valid_mask, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['remap_2ecl',['remap.cl',['../remap_8cl.xhtml',1,'']]],
@@ -68,9 +77,32 @@
   ['reorglayernode',['ReorgLayerNode',['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml',1,'ReorgLayerNode'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adea3ce500d24b0f4c2abc96809ff80aa',1,'arm_compute::graph::ReorgLayerNode::ReorgLayerNode()']]],
   ['reorglayernode_2ecpp',['ReorgLayerNode.cpp',['../_reorg_layer_node_8cpp.xhtml',1,'']]],
   ['reorglayernode_2eh',['ReorgLayerNode.h',['../_reorg_layer_node_8h.xhtml',1,'']]],
+  ['repeat_2eh',['repeat.h',['../repeat_8h.xhtml',1,'']]],
+  ['repeat_5f3_5f1',['REPEAT_3_1',['../repeat_8h.xhtml#a1dd0718c2bf5d454acd7a02b64577591',1,'repeat.h']]],
+  ['repeat_5f3_5f10',['REPEAT_3_10',['../repeat_8h.xhtml#a25dcf84375f5bef322aba053e054986d',1,'repeat.h']]],
+  ['repeat_5f3_5f11',['REPEAT_3_11',['../repeat_8h.xhtml#aab44d0a9187edad7e53d5e29f4fd65ee',1,'repeat.h']]],
+  ['repeat_5f3_5f12',['REPEAT_3_12',['../repeat_8h.xhtml#acbc305a55f5e189820a108d226d0c84b',1,'repeat.h']]],
+  ['repeat_5f3_5f13',['REPEAT_3_13',['../repeat_8h.xhtml#aea114bd5a1233b321466234ff0875bc3',1,'repeat.h']]],
+  ['repeat_5f3_5f14',['REPEAT_3_14',['../repeat_8h.xhtml#a20676acc95474bc47de256419f05ca69',1,'repeat.h']]],
+  ['repeat_5f3_5f15',['REPEAT_3_15',['../repeat_8h.xhtml#affa3fc076d4917193cd8d0642def145d',1,'repeat.h']]],
+  ['repeat_5f3_5f16',['REPEAT_3_16',['../repeat_8h.xhtml#ac5cc783b0133f545a6534e251a20b642',1,'repeat.h']]],
+  ['repeat_5f3_5f2',['REPEAT_3_2',['../repeat_8h.xhtml#a738d75550700d9ce743f0fac5738ee15',1,'repeat.h']]],
+  ['repeat_5f3_5f3',['REPEAT_3_3',['../repeat_8h.xhtml#a686ae0b0906446146df62c8d4a2ea937',1,'repeat.h']]],
+  ['repeat_5f3_5f4',['REPEAT_3_4',['../repeat_8h.xhtml#a9048833a93a05dd92f01b7e86bd62f09',1,'repeat.h']]],
+  ['repeat_5f3_5f5',['REPEAT_3_5',['../repeat_8h.xhtml#ac02a49c611c786dedf7cb89b030f7900',1,'repeat.h']]],
+  ['repeat_5f3_5f6',['REPEAT_3_6',['../repeat_8h.xhtml#a7a766ef9faa1ca344a84413e2eb1b9af',1,'repeat.h']]],
+  ['repeat_5f3_5f7',['REPEAT_3_7',['../repeat_8h.xhtml#a364708cdd26aa3540ddbf93741283798',1,'repeat.h']]],
+  ['repeat_5f3_5f8',['REPEAT_3_8',['../repeat_8h.xhtml#a3aca8cd3e6bb0f24b67c698ac39e2671',1,'repeat.h']]],
+  ['repeat_5f3_5f9',['REPEAT_3_9',['../repeat_8h.xhtml#ac1feec4d1bc359eb8973eef7a2c964ce',1,'repeat.h']]],
+  ['repeat_5f3_5fn',['REPEAT_3_N',['../repeat_8h.xhtml#ad84b38198b8d17b0507243d16efd72d8',1,'repeat.h']]],
+  ['repeat_5fdef_5f3_5fn',['REPEAT_DEF_3_N',['../repeat_8h.xhtml#a7719fb3da3410b3c7326f54e9f1a0908',1,'repeat.h']]],
+  ['repeat_5fvar_5finit_5fto_5fconst',['REPEAT_VAR_INIT_TO_CONST',['../repeat_8h.xhtml#a4a61a8df72f9bc1b1dcc4cc4ec6ac3b9',1,'repeat.h']]],
   ['replicate',['REPLICATE',['../namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a4ef59320fbe90fe47d40f1f71e4c5daa',1,'arm_compute']]],
   ['requested_5ftarget',['requested_target',['../classarm__compute_1_1graph_1_1_i_node.xhtml#afc6514aa006c1820217d9a8d832cc656',1,'arm_compute::graph::INode']]],
   ['required_5fpadding',['required_padding',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#abec0bfe8236c33407bc339ecba079855',1,'arm_compute::test::PaddingCalculator::required_padding() const'],['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a9fcfe18b4133adc12eb49ebaf0ce9b27',1,'arm_compute::test::PaddingCalculator::required_padding(Option option) const']]],
+  ['requires_2eh',['Requires.h',['../_requires_8h.xhtml',1,'']]],
+  ['requires_5ft',['REQUIRES_T',['../_requires_8h.xhtml#ae843896d1046b7247f71f2c0ff372099',1,'Requires.h']]],
+  ['requires_5fta',['REQUIRES_TA',['../_requires_8h.xhtml#a7ebefe53095d57aad21f29f981ea2309',1,'Requires.h']]],
   ['reset',['reset',['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#ad39ad962255c717dcd5e53315ae37546',1,'arm_compute::CLMinMaxLayerKernel::reset()'],['../classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc',1,'arm_compute::Iterator::reset()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::NEMinMaxLayerKernel::reset()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::NEMinMaxKernel::reset()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::test::framework::PMU::reset()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ad20897c5c8bd47f5d4005989bead0e55',1,'arm_compute::graph_utils::ValidationOutputAccessor::reset()']]],
   ['reset_5fpadding',['reset_padding',['../classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd',1,'arm_compute::ITensorInfo::reset_padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027',1,'arm_compute::SubTensorInfo::reset_padding()'],['../classarm__compute_1_1_tensor_info.xhtml#a5a80b3a6ae624417617d6a8d3209add5',1,'arm_compute::TensorInfo::reset_padding()']]],
   ['reshape_5fb_5fonly_5fon_5ffirst_5frun',['reshape_b_only_on_first_run',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a4c8f9fa843de1086c27c86a6b8cf4582',1,'arm_compute::GEMMInfo']]],
@@ -86,8 +118,13 @@
   ['resizelayernode',['ResizeLayerNode',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml',1,'ResizeLayerNode'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a23f214610ee778b923f9f9ffc5bf1b3e',1,'arm_compute::graph::ResizeLayerNode::ResizeLayerNode()']]],
   ['resizelayernode_2ecpp',['ResizeLayerNode.cpp',['../_resize_layer_node_8cpp.xhtml',1,'']]],
   ['resizelayernode_2eh',['ResizeLayerNode.h',['../_resize_layer_node_8h.xhtml',1,'']]],
-  ['result_5ftype',['result_type',['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b',1,'arm_compute::utils::uniform_real_distribution_fp16']]],
+  ['result_5ftype',['result_type',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#a712fe00c49a4ab6f1feb0068cfb856a4',1,'arm_compute::utils::random::RangedUniformDistribution::result_type()'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b',1,'arm_compute::utils::uniform_real_distribution_fp16::result_type()']]],
   ['retain_5finternal_5fweights',['retain_internal_weights',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a4f87c5060cca01305f94a9d2f10e9d83',1,'arm_compute::FullyConnectedLayerInfo::retain_internal_weights()'],['../classarm__compute_1_1_weights_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::WeightsInfo::retain_internal_weights()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::GEMMInfo::retain_internal_weights()']]],
+  ['rev64_2eh',['rev64.h',['../rev64_8h.xhtml',1,'']]],
+  ['reverse',['reverse',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1936f5feb8c9357acc4555686d4e5cf2',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a919cf3591c7a0a86389412346be0b295',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3092826e827607da8aa2799f2a231118',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8b105426832fc39c634bdcaf8d5d9a1b',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)']]],
+  ['reverse_2ecl',['reverse.cl',['../reverse_8cl.xhtml',1,'']]],
+  ['reverse_2ecpp',['Reverse.cpp',['../_c_l_2_reverse_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_reverse_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_reverse_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['reverse_2eh',['Reverse.h',['../_reverse_8h.xhtml',1,'']]],
   ['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml',1,'reverse_iterable&lt; T &gt;'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a5053b946ca74887955fc65054f6df4e8',1,'arm_compute::utils::iterable::reverse_iterable::reverse_iterable()']]],
   ['reverse_5fiterate',['reverse_iterate',['../namespacearm__compute_1_1utils_1_1iterable.xhtml#ad093dbcab3409be5ca29a73556df5290',1,'arm_compute::utils::iterable']]],
   ['rgb',['rgb',['../classarm__compute_1_1_pixel_value.xhtml#afe42472c55e7e5df52b8aaca94d0fa7e',1,'arm_compute::PixelValue']]],
@@ -114,11 +151,10 @@
   ['rgbx',['rgbx',['../classarm__compute_1_1_pixel_value.xhtml#ac24a28b797176d8a1e73d27f64c058d2',1,'arm_compute::PixelValue']]],
   ['right',['right',['../structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9',1,'arm_compute::BorderSize']]],
   ['rnnlayer_2ecpp',['RNNLayer.cpp',['../_c_l_2_r_n_n_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_r_n_n_layer_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['roi',['ROI',['../structarm__compute_1_1_r_o_i.xhtml',1,'arm_compute']]],
   ['roi_5falign_5flayer',['roi_align_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae10aca11c62e91fcb01059cc7849ada6',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ade5dbd67630e7e979b7f2c24c1fa1fa3',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4a4d037e9f0f69fde36a5ca107aa587a',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)']]],
   ['roi_5falign_5flayer_2ecl',['roi_align_layer.cl',['../roi__align__layer_8cl.xhtml',1,'']]],
   ['roi_5fpool_5f1x1',['roi_pool_1x1',['../roi__pooling__layer_8cl.xhtml#aa23d7bc09d4a60b853c5b3ba5425c2ec',1,'roi_pooling_layer.cl']]],
-  ['roi_5fpooling_5flayer',['roi_pooling_layer',['../roi__pooling__layer_8cl.xhtml#a635f6123e4bdfef756e8959061a743b5',1,'roi_pooling_layer.cl']]],
+  ['roi_5fpooling_5flayer',['roi_pooling_layer',['../roi__pooling__layer_8cl.xhtml#a2225a0fdbe433c31126daa25249acd8b',1,'roi_pooling_layer.cl']]],
   ['roi_5fpooling_5flayer_2ecl',['roi_pooling_layer.cl',['../roi__pooling__layer_8cl.xhtml',1,'']]],
   ['roialignlayer',['ROIAlignLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml',1,'ROIAlignLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#aee31512297b466bfd6fadd4e79384887',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(SubStream &amp;&amp;sub_stream_input, SubStream &amp;&amp;sub_stream_rois, ROIPoolingLayerInfo pool_info)'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a59543e51d359cdbc63df97c9906c40fd',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(const ROIAlignLayer &amp;)=delete'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a9724a5f06f63ab3de9e8af69d20069fb',1,'arm_compute::graph::ROIAlignLayer()']]],
   ['roialignlayer_2ecpp',['ROIAlignLayer.cpp',['../_c_l_2_r_o_i_align_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_r_o_i_align_layer_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -126,17 +162,22 @@
   ['roialignlayernode',['ROIAlignLayerNode',['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml',1,'ROIAlignLayerNode'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3dc3a0ce0219139b6f55396afee2154f',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(ROIPoolingLayerInfo &amp;pool_info)'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a49a8c24874736d0aa28dd3aff6996554',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(const ROIAlignLayerNode &amp;)=delete']]],
   ['roialignlayernode_2ecpp',['ROIAlignLayerNode.cpp',['../_r_o_i_align_layer_node_8cpp.xhtml',1,'']]],
   ['roialignlayernode_2eh',['ROIAlignLayerNode.h',['../_r_o_i_align_layer_node_8h.xhtml',1,'']]],
-  ['roiarray',['ROIArray',['../namespacearm__compute.xhtml#a35ae0858a604c4c0672ce857e8080ae4',1,'arm_compute']]],
   ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_c_l_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml',1,'ROIPoolingLayerInfo'],['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#aabcaf278d82498bd5ba1e8d2ce1196cc',1,'arm_compute::ROIPoolingLayerInfo::ROIPoolingLayerInfo()']]],
-  ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a711b72c2817604dfbb9d20d142882bab',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647',1,'arm_compute::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
-  ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test']]],
-  ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test']]],
+  ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a711b72c2817604dfbb9d20d142882bab',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647',1,'arm_compute::round()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a995d306fa75c139b6a878506701e6e07',1,'arm_compute::utils::rounding::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
+  ['round_5faway_5ffrom_5fzero',['round_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4d6feea06f0c1ad779760e477348db6b',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5faway_5ffrom_5fzero',['round_half_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#aeecc6e8935077dc93cc5079fe98d3adc',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5fdown',['round_half_down',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4a17ff00e5272477260c040731aa1d36',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#af1c8bd162677ab8a8ae5dfddc55ca9b8',1,'arm_compute::utils::rounding::round_half_even()'],['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test::round_half_even()']]],
+  ['round_5fhalf_5fto_5fzero',['round_half_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a2b38aea22003d34e97d6678f329896d9',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a7d412c5e09b4d4be67727d85d24d51be',1,'arm_compute::utils::rounding::round_half_up()'],['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test::round_half_up()']]],
+  ['round_5fto_5fzero',['round_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a02f57d08fe3b3f4efd408fb4875c0789',1,'arm_compute::utils::rounding']]],
   ['round_5fup',['ROUND_UP',['../gemm__interleaved_8hpp.xhtml#a5560b3c73e2e50a0b1bda1fa70ec58af',1,'gemm_interleaved.hpp']]],
   ['rounding_2ecpp',['Rounding.cpp',['../_rounding_8cpp.xhtml',1,'']]],
-  ['rounding_2eh',['Rounding.h',['../_rounding_8h.xhtml',1,'']]],
+  ['rounding_2eh',['Rounding.h',['../_rounding_8h.xhtml',1,'(Global Namespace)'],['../utils_2misc_2_rounding_8h.xhtml',1,'(Global Namespace)']]],
   ['rounding_5fdivide_5fby_5fpow2',['rounding_divide_by_pow2',['../namespacearm__compute.xhtml#a5e28a3911204ac952601f512c82b48f1',1,'arm_compute']]],
   ['rounding_5fpolicy',['rounding_policy',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a0f09377db195c78de49f1d2be26ee649',1,'arm_compute::graph::EltwiseLayerNode::rounding_policy()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60ad1078faeaf3f59266d69ad937339f',1,'arm_compute::test::validation::rounding_policy()']]],
+  ['roundingmode',['RoundingMode',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101',1,'arm_compute::utils::rounding']]],
   ['roundingpolicy',['RoundingPolicy',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50be',1,'arm_compute']]],
   ['roundup',['roundup',['../utils_8hpp.xhtml#a8f6fbf8b243a10af40ce8d47a1013384',1,'utils.hpp']]],
   ['row_5fdelim',['row_delim',['../structarm__compute_1_1_i_o_format_info.xhtml#ab1a3e6cb2768124a6853f52bd0e10596',1,'arm_compute::IOFormatInfo']]],
@@ -144,10 +185,14 @@
   ['row_5freduce_5fmax_5f5',['row_reduce_max_5',['../non__linear__filter__helpers_8h.xhtml#a310f21b7cf0409431ddf246c4a98e52e',1,'non_linear_filter_helpers.h']]],
   ['row_5freduce_5fmin_5f3',['row_reduce_min_3',['../non__linear__filter__helpers_8h.xhtml#ae3e09114bb887de4e20122eed42671a1',1,'non_linear_filter_helpers.h']]],
   ['row_5freduce_5fmin_5f5',['row_reduce_min_5',['../non__linear__filter__helpers_8h.xhtml#aa9d1bdcaf911a5b861c2082181e6a716',1,'non_linear_filter_helpers.h']]],
-  ['run',['run',['../classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51',1,'arm_compute::ICLKernel::run()'],['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple2DKernel::run()'],['../classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple3DKernel::run()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLActivationLayerKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticDivisionKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseAndKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseOrKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseXorKernel::run()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGradientKernel::run()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeTraceKernel::run()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelCombineKernel::run()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelExtractKernel::run()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCol2ImKernel::run()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLColorConvertKernel::run()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDequantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDerivativeKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFastCornersKernel::run()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyToArrayKernel::run()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFlattenLayerKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::run()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramKernel::run()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramBorderKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLHOGDetectorKernel::run()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerInitKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerFinalizeKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage0Kernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage1Kernel::run()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevKernel::run()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMemsetKernel::run()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLayerKernel::run()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxKernel::run()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLocationKernel::run()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPermuteKernel::run()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReductionOperationKernel::run()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRemapKernel::run()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReorgLayerKernel::run()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLROIAlignLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScaleKernel::run()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5VertKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7VertKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStridedSliceKernel::run()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLUpsampleLayerKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate2TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate4TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradFilterTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradInputTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradOutputTransformKernel::run()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLYOLOLayerKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::run()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPCornerCandidatesKernel::run()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPFlipWeightsKernel::run()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPPermuteKernel::run()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPUpsampleKernel::run()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2',1,'arm_compute::IGCKernel::run()'],['../classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple2DKernel::run()'],['../classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple3DKernel::run()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCActivationLayerKernel::run()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCCol2ImKernel::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDropoutLayerKernel::run()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCFillBorderKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCIm2ColKernel::run()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPoolingLayerKernel::run()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCScaleKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DNormKernel::run()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTensorShiftKernel::run()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTransposeKernel::run()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateSquaredKernel::run()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEActivationLayerKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseAndKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseNotKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseOrKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseXorKernel::run()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGradientKernel::run()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeTraceKernel::run()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelCombineKernel::run()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelExtractKernel::run()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECol2ImKernel::run()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEColorConvertKernel::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionHorKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionVertKernel::run()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECopyKernel::run()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertLayerKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDequantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDerivativeKernel::run()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDilateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEErodeKernel::run()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFastCornersKernel::run()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillArrayKernel::run()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillBorderKernel::run()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillInnerBorderKernel::run()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFlattenLayerKernel::run()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHistogramKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGDetectorKernel::run()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELKTrackerKernel::run()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLayerKernel::run()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxKernel::run()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLocationKernel::run()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonLinearFilterKernel::run()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonMaximaSuppression3x3Kernel::run()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPermuteKernel::run()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReductionOperationKernel::run()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERemapKernel::run()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReorgLayerKernel::run()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScaleKernel::run()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScharr3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7VertKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DMaxKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DSoftmaxKernel::run()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETableLookupKernel::run()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEThresholdKernel::run()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::run()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEUpsampleLayerKernel::run()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::INEWarpKernel::run()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformInputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformOutputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::run()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEYOLOLayerKernel::run()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::frontend::Stream::run()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96',1,'arm_compute::graph::PassManager::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayerUpsample::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDequantizationLayer::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLEqualizeHistogram::run()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFastCorners::run()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFuseBatchNormalization::run()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussian5x5::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidHalf::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidOrb::run()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGenerateProposalsLayer::run()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHarrisCorners::run()'],['../classarm__compute_1_1_c_l_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHistogram::run()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDescriptor::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDetector::run()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGGradient::run()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGMultiDetection::run()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLIntegralImage::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2NormalizeLayer::run()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianPyramid::run()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianReconstruct::run()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLocallyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayer::run()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMeanStdDev::run()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMinMaxLocation::run()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLPadLayer::run()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLQuantizationLayer::run()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReduceMean::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::run()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLRNNLayer::run()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel5x5::run()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel7x7::run()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayer::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToBatchLayer::run()'],['../classarm__compute_1_1_c_l_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSplit::run()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUpsampleLayer::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWidthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_i_c_p_p_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICPPSimpleFunction::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCBatchNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDepthConcatenateLayer::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDirectConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDropoutLayer::run()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCFullyConnectedLayer::run()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCGEMM::run()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCPoolingLayer::run()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCSoftmaxLayer::run()'],['../classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::IGCSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMInterleavedWrapper::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEBatchNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECannyEdge::run()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvertFullyConnectedWeights::run()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDeconvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDequantizationLayer::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDirectConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEEqualizeHistogram::run()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFastCorners::run()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussian5x5::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidHalf::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidOrb::run()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMM::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHarrisCorners::run()'],['../classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHistogram::run()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGDescriptor::run()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGGradient::run()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGMultiDetection::run()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEIm2Col::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2NormalizeLayer::run()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianPyramid::run()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianReconstruct::run()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELocallyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayer::run()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMeanStdDev::run()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMinMaxLocation::run()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NENormalizationLayer::run()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEOpticalFlow::run()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEQuantizationLayer::run()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReduceMean::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::run()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERNNLayer::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEROIPoolingLayer::run()'],['../classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEScale::run()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::NESimpleAssemblyFunction::run()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel5x5::run()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel7x7::run()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayer::run()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUpsampleLayer::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWidthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()']]],
+  ['rsqrt',['RSQRT',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da66bac724670f51e77f3688d33ca0d781',1,'arm_compute']]],
+  ['rsqrtlayer_2ecpp',['RsqrtLayer.cpp',['../_rsqrt_layer_8cpp.xhtml',1,'']]],
+  ['run',['run',['../classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51',1,'arm_compute::ICLKernel::run()'],['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple2DKernel::run()'],['../classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple3DKernel::run()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLActivationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseAndKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseOrKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseXorKernel::run()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGradientKernel::run()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeTraceKernel::run()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelCombineKernel::run()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelExtractKernel::run()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCol2ImKernel::run()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLColorConvertKernel::run()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComparisonKernel::run()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDequantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDerivativeKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementwiseOperationKernel::run()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementWiseUnaryLayerKernel::run()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFastCornersKernel::run()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyToArrayKernel::run()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFlattenLayerKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGatherKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::run()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramKernel::run()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramBorderKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLHOGDetectorKernel::run()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerInitKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerFinalizeKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage0Kernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage1Kernel::run()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevKernel::run()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMemsetKernel::run()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLayerKernel::run()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxKernel::run()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLocationKernel::run()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPermuteKernel::run()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRangeKernel::run()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReductionOperationKernel::run()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRemapKernel::run()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReorgLayerKernel::run()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::run()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReverseKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLROIAlignLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScaleKernel::run()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::run()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSelectKernel::run()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5VertKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7VertKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStackLayerKernel::run()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStridedSliceKernel::run()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLTileKernel::run()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLUpsampleLayerKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate2TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate4TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradFilterTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradInputTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradOutputTransformKernel::run()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLYOLOLayerKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::run()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPCornerCandidatesKernel::run()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPFlipWeightsKernel::run()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPPermuteKernel::run()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPTopKVKernel::run()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPUpsampleKernel::run()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2',1,'arm_compute::IGCKernel::run()'],['../classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple2DKernel::run()'],['../classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple3DKernel::run()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCActivationLayerKernel::run()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCCol2ImKernel::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDropoutLayerKernel::run()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCFillBorderKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCIm2ColKernel::run()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPoolingLayerKernel::run()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCScaleKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DNormKernel::run()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTensorShiftKernel::run()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTransposeKernel::run()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateSquaredKernel::run()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEActivationLayerKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseAndKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseNotKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseOrKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseXorKernel::run()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGradientKernel::run()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeTraceKernel::run()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelCombineKernel::run()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelExtractKernel::run()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECol2ImKernel::run()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEColorConvertKernel::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionHorKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionVertKernel::run()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECopyKernel::run()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertLayerKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDequantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDerivativeKernel::run()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDilateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseOperationKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseUnaryKernel::run()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEErodeKernel::run()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFastCornersKernel::run()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillArrayKernel::run()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillBorderKernel::run()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillInnerBorderKernel::run()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFlattenLayerKernel::run()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGatherKernel::run()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHistogramKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGDetectorKernel::run()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELKTrackerKernel::run()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMemsetKernel::run()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLayerKernel::run()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxKernel::run()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLocationKernel::run()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonLinearFilterKernel::run()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonMaximaSuppression3x3Kernel::run()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPermuteKernel::run()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERangeKernel::run()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReductionOperationKernel::run()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERemapKernel::run()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReorgLayerKernel::run()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::run()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReverseKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScaleKernel::run()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScharr3x3Kernel::run()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESelectKernel::run()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7VertKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DMaxKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DSoftmaxKernel::run()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStackLayerKernel::run()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStridedSliceKernel::run()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETableLookupKernel::run()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEThresholdKernel::run()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETileKernel::run()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::run()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEUpsampleLayerKernel::run()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::INEWarpKernel::run()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformInputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformOutputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::run()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEYOLOLayerKernel::run()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::frontend::Stream::run()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96',1,'arm_compute::graph::PassManager::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayerUpsample::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDequantizationLayer::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLEqualizeHistogram::run()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFastCorners::run()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFuseBatchNormalization::run()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussian5x5::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidHalf::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidOrb::run()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGenerateProposalsLayer::run()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHarrisCorners::run()'],['../classarm__compute_1_1_c_l_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHistogram::run()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDescriptor::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDetector::run()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGGradient::run()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGMultiDetection::run()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLIntegralImage::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2NormalizeLayer::run()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianPyramid::run()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianReconstruct::run()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLocallyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayer::run()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMeanStdDev::run()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMinMaxLocation::run()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLPadLayer::run()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLQuantizationLayer::run()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReduceMean::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::run()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLRNNLayer::run()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel5x5::run()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel7x7::run()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayer::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToBatchLayer::run()'],['../classarm__compute_1_1_c_l_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSplit::run()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLStackLayer::run()'],['../classarm__compute_1_1_c_l_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUnstack::run()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUpsampleLayer::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWidthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPNonMaximumSuppression::run()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPDetectionOutputLayer::run()'],['../classarm__compute_1_1_i_c_p_p_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICPPSimpleFunction::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCBatchNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDepthConcatenateLayer::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDirectConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDropoutLayer::run()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCFullyConnectedLayer::run()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCGEMM::run()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCPoolingLayer::run()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCSoftmaxLayer::run()'],['../classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::IGCSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMInterleavedWrapper::run()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEArgMinMaxLayer::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEBatchNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECannyEdge::run()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvertFullyConnectedWeights::run()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDeconvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDequantizationLayer::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDirectConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEEqualizeHistogram::run()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFastCorners::run()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFuseBatchNormalization::run()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussian5x5::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidHalf::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidOrb::run()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMM::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHarrisCorners::run()'],['../classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHistogram::run()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGDescriptor::run()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGGradient::run()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGMultiDetection::run()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEIm2Col::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2NormalizeLayer::run()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianPyramid::run()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianReconstruct::run()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELocallyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayer::run()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMeanStdDev::run()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMinMaxLocation::run()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NENormalizationLayer::run()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEOpticalFlow::run()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPadLayer::run()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEQuantizationLayer::run()'],['../classarm__compute_1_1_n_e_range.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERange::run()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReduceMean::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::run()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERNNLayer::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEROIPoolingLayer::run()'],['../classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEScale::run()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::NESimpleAssemblyFunction::run()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel5x5::run()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel7x7::run()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayer::run()'],['../classarm__compute_1_1_n_e_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESplit::run()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEStackLayer::run()'],['../classarm__compute_1_1_n_e_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUnstack::run()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUpsampleLayer::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWidthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunctionNoBorder::run()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::test::CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()']]],
   ['run_5fall',['run_all',['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2',1,'arm_compute::graph::PassManager']]],
   ['run_5fexample',['run_example',['../namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40',1,'arm_compute::utils::run_example(int argc, char **argv, std::unique_ptr&lt; Example &gt; example)'],['../namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3',1,'arm_compute::utils::run_example(int argc, char **argv)']]],
   ['run_5fnmslimit',['run_nmslimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a09b1eba6110aafce761e0e12d79cd12b',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel']]],
+  ['run_5freverse',['run_reverse',['../namespacearm__compute.xhtml#a57de30d9ebd8eed0393798583555dd16',1,'arm_compute']]],
+  ['run_5fsmall_5fdataset',['run_small_dataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e54f8a51394fac8230e2618e0d4c0a2',1,'arm_compute::test::validation']]],
   ['run_5ftagged_5fworkloads',['run_tagged_workloads',['../classarm__compute_1_1_i_scheduler.xhtml#a3becf955da8cad5036399bcb90f1408d',1,'arm_compute::IScheduler']]],
   ['runtime_5ferror',['RUNTIME_ERROR',['../namespacearm__compute.xhtml#a59e56af19e754a6aa26a612ebf91d05fa62be47fdd89da032cf78dfce82239579',1,'arm_compute']]]
 ];
diff --git a/documentation/search/all_14.html b/documentation/search/all_14.html
index fb4d0ec..7fe4663 100644
--- a/documentation/search/all_14.html
+++ b/documentation/search/all_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_14.js b/documentation/search/all_14.js
index b4052a2..40aaa30 100644
--- a/documentation/search/all_14.js
+++ b/documentation/search/all_14.js
@@ -5,14 +5,17 @@
   ['s64',['s64',['../classarm__compute_1_1_pixel_value.xhtml#ae66ed2ec20c2115ff9970c73168fc0df',1,'arm_compute::PixelValue::s64()'],['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc',1,'arm_compute::S64()']]],
   ['s8',['s8',['../classarm__compute_1_1_pixel_value.xhtml#acf0eb502f72832af26e62c69457bd1b6',1,'arm_compute::PixelValue::s8()'],['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975',1,'arm_compute::S8()']]],
   ['safe_5fread',['safe_read',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a590054c13a2fe6eddcb35bbe11129a9d',1,'arm_compute::test::validation::reference']]],
+  ['same_5frank',['same_rank',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cf6ae51725ed102205aa7fe3704f057',1,'arm_compute::test::validation']]],
   ['sampling_5fratio',['sampling_ratio',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#afbc0a0e37966224f004d4525b1cf012f',1,'arm_compute::ROIPoolingLayerInfo']]],
   ['samplingpolicy',['SamplingPolicy',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7b',1,'arm_compute']]],
   ['saturate',['SATURATE',['../namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fa4729d95f983955f0d93a30179deb2b86',1,'arm_compute']]],
-  ['saturate_5fcast',['saturate_cast',['../namespacearm__compute_1_1utility.xhtml#a26bf8243169fc3fd2299024c25b0aa0d',1,'arm_compute::utility::saturate_cast()'],['../namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377',1,'arm_compute::test::saturate_cast()']]],
+  ['saturate_5fcast',['saturate_cast',['../namespacearm__compute_1_1utils_1_1cast.xhtml#aff2fdac1ef048c4a668437d172fa6b1a',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1utils_1_1cast.xhtml#abbc0dfec475206b9c62d87e7405d87ee',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377',1,'arm_compute::test::saturate_cast()']]],
+  ['saturatecast_2eh',['SaturateCast.h',['../_saturate_cast_8h.xhtml',1,'']]],
   ['save_5fbinary',['save_binary',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a7c0b2aa80e920344936e8e7dbaa73e43',1,'arm_compute::GCKernelLibrary']]],
   ['save_5fto_5ffile',['save_to_file',['../classarm__compute_1_1_c_l_tuner.xhtml#a6bc110abab391dca6a6b0e977892020c',1,'arm_compute::CLTuner']]],
   ['save_5fto_5fnpy',['save_to_npy',['../namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547',1,'arm_compute::utils']]],
   ['save_5fto_5fppm',['save_to_ppm',['../namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08',1,'arm_compute::utils']]],
+  ['scalar_2eh',['scalar.h',['../scalar_8h.xhtml',1,'']]],
   ['scale',['scale',['../structarm__compute_1_1_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'arm_compute::QuantizationInfo::scale()'],['../structarm__compute_1_1_key_point.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'arm_compute::KeyPoint::scale()'],['../struct_keypoint.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'Keypoint::scale()'],['../classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::PyramidInfo::scale()'],['../classarm__compute_1_1_bounding_box_transform_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::BoundingBoxTransformInfo::scale()'],['../classarm__compute_1_1_window.xhtml#a5e8e5ab06329702df09ab7eb07e9b84d',1,'arm_compute::Window::scale()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a',1,'arm_compute::test::validation::scale()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d1214c8e51d5c216c257b8c1ce14525',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; T &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5d62ae2ebf51dcab81a1b15781faebc',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; uint8_t &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a507aed1b65b543eae5adafff1f2b8965',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; int16_t &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int16_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a19c2e3dbf2874675782c224032106d80',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; half &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, half constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5ae0844c074ff20b13924b7f145d4e2',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; float &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, float constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)']]],
   ['scale_2ecl',['scale.cl',['../scale_8cl.xhtml',1,'']]],
   ['scale_2ecpp',['Scale.cpp',['../benchmark_2_c_l_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_scale_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -20,13 +23,11 @@
   ['scale_5f1k',['SCALE_1K',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100a31b560df072eca60895ba6d4541c41a2',1,'arm_compute::test::framework']]],
   ['scale_5f1m',['SCALE_1M',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100ade0343867b7ffbd33367905039d496f5',1,'arm_compute::test::framework']]],
   ['scale_5fbilinear_5fnchw',['scale_bilinear_nchw',['../scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989',1,'scale.cl']]],
-  ['scale_5fbilinear_5fnhwc',['scale_bilinear_nhwc',['../scale_8cl.xhtml#ac0b6964599b54e3488b5ce8e294b67cc',1,'scale.cl']]],
   ['scale_5fbilinear_5fquantized_5fnchw',['scale_bilinear_quantized_nchw',['../scale__quantized_8cl.xhtml#a157d3c35f643dafe1c4bed09594f3bb5',1,'scale_quantized.cl']]],
-  ['scale_5fbilinear_5fquantized_5fnhwc',['scale_bilinear_quantized_nhwc',['../scale__quantized_8cl.xhtml#af7bbf833ca2587ae7421833cc006d3f4',1,'scale_quantized.cl']]],
   ['scale_5fcoeff',['scale_coeff',['../classarm__compute_1_1_normalization_layer_info.xhtml#a7a6d5f8b1f761ea40f7f1072642be9e5',1,'arm_compute::NormalizationLayerInfo']]],
   ['scale_5fcore',['scale_core',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa390c8750cce2de4fd49d7a3d9e6ba5c',1,'arm_compute::test::validation::reference']]],
   ['scale_5fnearest_5fneighbour_5fnchw',['scale_nearest_neighbour_nchw',['../scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb',1,'scale.cl']]],
-  ['scale_5fnearest_5fneighbour_5fnhwc',['scale_nearest_neighbour_nhwc',['../scale_8cl.xhtml#a2216ff8602b48932fb95cdc3d02c8bba',1,'scale.cl']]],
+  ['scale_5fout',['SCALE_OUT',['../activation__layer__qa8_8cl.xhtml#a814d8a020b304f2ad69204ca56d76e4f',1,'activation_layer_qa8.cl']]],
   ['scale_5fpyramid_5fhalf',['SCALE_PYRAMID_HALF',['../namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd',1,'arm_compute']]],
   ['scale_5fpyramid_5forb',['SCALE_PYRAMID_ORB',['../namespacearm__compute.xhtml#a2ebcd5423d5fba468e7debd2e1aabe91',1,'arm_compute']]],
   ['scale_5fquantized_2ecl',['scale_quantized.cl',['../scale__quantized_8cl.xhtml',1,'']]],
@@ -54,6 +55,10 @@
   ['score',['score',['../structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c',1,'arm_compute::DetectionWindow::score()'],['../struct_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c',1,'DetectionWindow::score()']]],
   ['score_5fthresh',['score_thresh',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a535a6f56c148f286729fad7749a58e9b',1,'arm_compute::BoxNMSLimitInfo']]],
   ['seed',['seed',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a0a20fa200643e1e3aa4004375d9188f1',1,'arm_compute::test::AssetsLibrary']]],
+  ['select',['select',['../namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53',1,'arm_compute::test::validation::select()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a27e22718d532b621774aca14ce8b1101',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; T &gt; &amp;x, const SimpleTensor&lt; T &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0331e853139eaf23282e0ca0a53b90b8',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; uint8_t &gt; &amp;x, const SimpleTensor&lt; uint8_t &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a95fd10c561d7b438f46d34441ac4c494',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; half &gt; &amp;x, const SimpleTensor&lt; half &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d2d7deaeaac223161f2a13d155b58f7',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; float &gt; &amp;x, const SimpleTensor&lt; float &gt; &amp;y)']]],
+  ['select_2ecl',['select.cl',['../select_8cl.xhtml',1,'']]],
+  ['select_2ecpp',['Select.cpp',['../_c_l_2_select_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_select_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_select_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['select_2eh',['Select.h',['../_select_8h.xhtml',1,'']]],
   ['select_5fdata_5ftype',['SELECT_DATA_TYPE',['../softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170',1,'softmax_layer.cl']]],
   ['select_5ftype',['SELECT_TYPE',['../activation__layer_8cl.xhtml#a5c9e2fb8fe562b69a0be48600a910d77',1,'activation_layer.cl']]],
   ['semaphore',['Semaphore',['../classarm__compute_1_1_semaphore.xhtml',1,'Semaphore'],['../classarm__compute_1_1_semaphore.xhtml#a5d450aa70997a73d56a0400cee4e539d',1,'arm_compute::Semaphore::Semaphore()']]],
@@ -80,7 +85,7 @@
   ['set_5fconvolution_5fmethod',['set_convolution_method',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6',1,'arm_compute::graph::ConvolutionLayerNode']]],
   ['set_5fcpu_5fmodel',['set_cpu_model',['../classarm__compute_1_1_c_p_u_info.xhtml#acb24f7c57aaeee1da27db2b4b52434ee',1,'arm_compute::CPUInfo']]],
   ['set_5fcpu_5fnum',['set_cpu_num',['../classarm__compute_1_1_c_p_u_info.xhtml#aba3b726afdf36bdcd7496e1bfb523e71',1,'arm_compute::CPUInfo']]],
-  ['set_5fdata_5flayout',['set_data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15',1,'arm_compute::ITensorInfo::set_data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6',1,'arm_compute::SubTensorInfo::set_data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66',1,'arm_compute::TensorInfo::set_data_layout()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7569d8e56faa688859f35da36653d0a1',1,'arm_compute::test::validation::set_data_layout()']]],
+  ['set_5fdata_5flayout',['set_data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15',1,'arm_compute::ITensorInfo::set_data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6',1,'arm_compute::SubTensorInfo::set_data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66',1,'arm_compute::TensorInfo::set_data_layout()']]],
   ['set_5fdata_5flayout_5fif_5funknown',['set_data_layout_if_unknown',['../namespacearm__compute.xhtml#aafd98bfd4651f36d691ddd2631a6e5a0',1,'arm_compute']]],
   ['set_5fdata_5ftype',['set_data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de',1,'arm_compute::ITensorInfo::set_data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8',1,'arm_compute::SubTensorInfo::set_data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319',1,'arm_compute::TensorInfo::set_data_type()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a152c3cb67ac2ffb1d965073fc145493b',1,'arm_compute::graph::TensorDescriptor::set_data_type()']]],
   ['set_5fdata_5ftype_5fif_5funknown',['set_data_type_if_unknown',['../namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445',1,'arm_compute']]],
@@ -120,7 +125,7 @@
   ['set_5fowned_5fregion',['set_owned_region',['../classarm__compute_1_1_c_l_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::CLMemory::set_owned_region()'],['../classarm__compute_1_1_g_c_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::GCMemory::set_owned_region()'],['../classarm__compute_1_1_i_memory.xhtml#aa00bd341767c1945c2f16d8056143f2c',1,'arm_compute::IMemory::set_owned_region()'],['../classarm__compute_1_1_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::Memory::set_owned_region()']]],
   ['set_5fpeephole_5fparams',['set_peephole_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a',1,'arm_compute::LSTMParams']]],
   ['set_5fpolicy',['set_policy',['../classarm__compute_1_1_m_e_m_info.xhtml#a1609b8101beb35633a19f845d22323a8',1,'arm_compute::MEMInfo']]],
-  ['set_5fpretransposed_5fb_5fdata',['set_pretransposed_B_data',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmInterleaved::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvBatched::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvPretransposed::set_pretransposed_B_data()']]],
+  ['set_5fpretransposed_5fb_5fdata',['set_pretransposed_B_data',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmHybrid::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmInterleaved::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvBatched::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvPretransposed::set_pretransposed_B_data()']]],
   ['set_5fprocessed_5felements',['set_processed_elements',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a8c357fa4f24f5e2ad4d06b68687d5e9b',1,'arm_compute::test::PaddingCalculator']]],
   ['set_5fprojection_5fparams',['set_projection_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615',1,'arm_compute::LSTMParams']]],
   ['set_5fquantization_5finfo',['set_quantization_info',['../classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81',1,'arm_compute::ITensorInfo::set_quantization_info()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13',1,'arm_compute::SubTensorInfo::set_quantization_info()'],['../classarm__compute_1_1_tensor_info.xhtml#a78839e7861ba8ffed52ca55da2745761',1,'arm_compute::TensorInfo::set_quantization_info()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#afe5692937b0558d4cffe2d4fee57d581',1,'arm_compute::graph::TensorDescriptor::set_quantization_info()']]],
@@ -153,21 +158,19 @@
   ['set_5fvalid_5fregion',['set_valid_region',['../classarm__compute_1_1_access_window_auto_padding.xhtml#a7f947a06cc9bc2896f3d0efc0201ac5a',1,'arm_compute::AccessWindowAutoPadding::set_valid_region()'],['../classarm__compute_1_1_access_window_static.xhtml#a729ab9364d77a28c009732b497c3b835',1,'arm_compute::AccessWindowStatic::set_valid_region()'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a718cd06814abc688b1abdc729ed3a71b',1,'arm_compute::AccessWindowRectangle::set_valid_region()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6',1,'arm_compute::ITensorInfo::set_valid_region()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11',1,'arm_compute::SubTensorInfo::set_valid_region()'],['../classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11',1,'arm_compute::TensorInfo::set_valid_region()']]],
   ['set_5fweights_5ftrained_5flayout',['set_weights_trained_layout',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a8fb35e774b0145f41acab2dac458edb2',1,'arm_compute::FullyConnectedLayerInfo']]],
   ['set_5fworking_5fspace',['set_working_space',['../classarm__gemm_1_1_gemm_interleaved.xhtml#aee006b8384820aa25720e84b91b32a27',1,'arm_gemm::GemmInterleaved::set_working_space()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a458c339803f238b70020c3d933e9f766',1,'arm_gemm::GemvBatched::set_working_space()']]],
+  ['setlane_2eh',['setlane.h',['../setlane_8h.xhtml',1,'']]],
   ['setup',['setup',['../classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d',1,'arm_compute::test::framework::Fixture']]],
   ['setup_5fbackend_5fcontext',['setup_backend_context',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::CLDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::GCDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a7b1a687adb038e7e989e5d33b26651dc',1,'arm_compute::graph::backends::NEDeviceBackend::setup_backend_context()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#ad172b9815229e40cd25ad1c401d2a0e4',1,'arm_compute::graph::backends::IDeviceBackend::setup_backend_context()']]],
   ['setup_5fdefault_5fgraph_5fcontext',['setup_default_graph_context',['../namespacearm__compute_1_1graph.xhtml#ac2d442d0925c0a509698b1b11aba0c8a',1,'arm_compute::graph']]],
   ['setup_5fdummy_5ffbo',['setup_dummy_fbo',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a374c8804afa3425411f78ec3b164f267',1,'arm_compute::GCKernelLibrary']]],
   ['shape',['shape',['../structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8',1,'arm_compute::ValidRegion::shape()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8',1,'arm_compute::graph::TensorDescriptor::shape()'],['../classarm__compute_1_1_window.xhtml#abfa164a379c0c401a662792d7d0ccfba',1,'arm_compute::Window::shape()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::CLAccessor::shape()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::GCAccessor::shape()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a1c5e120ea2712b21296aa8f62421d3c1',1,'arm_compute::test::IAccessor::shape()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::Accessor::shape()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba',1,'arm_compute::test::SimpleTensor::shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5',1,'arm_compute::test::validation::shape()']]],
-  ['shape_5fa',['shape_a',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9',1,'arm_compute::test::validation']]],
-  ['shape_5fb',['shape_b',['../namespacearm__compute_1_1test_1_1validation.xhtml#a311c7503f0ef6cb1893ffc3bf8f22eb5',1,'arm_compute::test::validation']]],
-  ['shape_5fc',['shape_c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a141b596a566813a7fc3116f9881d3dc9',1,'arm_compute::test::validation']]],
   ['shape_5fin',['shape_in',['../namespacearm__compute_1_1test_1_1validation.xhtml#aeff9a60eefc51f40f1bcfab3cd707ccf',1,'arm_compute::test::validation']]],
-  ['shape_5fout',['shape_out',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa65261d320223230cd08fc3ebc05751b',1,'arm_compute::test::validation']]],
   ['shape_5fto_5fvalid_5fregion',['shape_to_valid_region',['../namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42',1,'arm_compute::test']]],
   ['shape_5fto_5fvalid_5fregion_5fgaussian_5fpyramid_5fhalf',['shape_to_valid_region_gaussian_pyramid_half',['../namespacearm__compute_1_1test.xhtml#a1177ef8061a8b46b5d79c1af93c12de1',1,'arm_compute::test']]],
   ['shape_5fto_5fvalid_5fregion_5flaplacian_5fpyramid',['shape_to_valid_region_laplacian_pyramid',['../namespacearm__compute_1_1test.xhtml#a6dc99a4de397ceab182b6fd46fa55f47',1,'arm_compute::test']]],
   ['shapecalculator_2eh',['ShapeCalculator.h',['../_shape_calculator_8h.xhtml',1,'']]],
-  ['shift',['shift',['../classarm__compute_1_1_window.xhtml#ae688f3eb6c2673216d12d5490e1e88dc',1,'arm_compute::Window']]],
+  ['share_5flocation',['share_location',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a7bc581f245390f063f02c3fcbb422320',1,'arm_compute::DetectionOutputLayerInfo']]],
+  ['shift',['shift',['../classarm__compute_1_1_window.xhtml#ae688f3eb6c2673216d12d5490e1e88dc',1,'arm_compute::Window::shift()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8',1,'arm_compute::test::validation::shift()']]],
   ['shift_5fdimensions',['shift_dimensions',['../classarm__compute_1_1_window.xhtml#a02d0a4c2898a6eb2ca7706c811b0ce81',1,'arm_compute::Window']]],
   ['shift_5fright',['shift_right',['../classarm__compute_1_1_tensor_shape.xhtml#ab6d90bb06b3c19db6aba94975be64d10',1,'arm_compute::TensorShape']]],
   ['signal',['signal',['../classarm__compute_1_1_semaphore.xhtml#a2a0f4bfac2f24aa0a07de86141381aec',1,'arm_compute::Semaphore']]],
@@ -182,6 +185,7 @@
   ['simpleoption_3c_20logformat_20_3e',['SimpleOption&lt; LogFormat &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpleoption_3c_20loglevel_20_3e',['SimpleOption&lt; LogLevel &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpleoption_3c_20std_3a_3astring_20_3e',['SimpleOption&lt; std::string &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20unsigned_20int_20_3e',['SimpleOption&lt; unsigned int &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpletensor',['SimpleTensor',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'SimpleTensor&lt; T &gt;'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce',1,'arm_compute::test::SimpleTensor::SimpleTensor()=default'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a057b52c2d0c51f410da5e48f47706c4e',1,'arm_compute::test::SimpleTensor::SimpleTensor(TensorShape shape, Format format)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad2a966c334c9bb65621f891ff5e2b5bb',1,'arm_compute::test::SimpleTensor::SimpleTensor(TensorShape shape, DataType data_type, int num_channels=1, QuantizationInfo quantization_info=QuantizationInfo(), DataLayout data_layout=DataLayout::NCHW)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ae1769959044a4356fdc93cac2b03a5f6',1,'arm_compute::test::SimpleTensor::SimpleTensor(const SimpleTensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a40eed42b5858849fb8570018760ba996',1,'arm_compute::test::SimpleTensor::SimpleTensor(SimpleTensor &amp;&amp;)=default']]],
   ['simpletensor_2eh',['SimpleTensor.h',['../_simple_tensor_8h.xhtml',1,'']]],
   ['simpletensor_3c_20uint8_5ft_20_3e',['SimpleTensor&lt; uint8_t &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
@@ -192,15 +196,14 @@
   ['singlethreadscheduler_2eh',['SingleThreadScheduler.h',['../_single_thread_scheduler_8h.xhtml',1,'']]],
   ['singletondataset',['SingletonDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml',1,'SingletonDataset&lt; T &gt;'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#ad23d34842f593ae646353d39fc0466cd',1,'arm_compute::test::framework::dataset::SingletonDataset::SingletonDataset(std::string name, T &amp;&amp;value)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a8a4f32d87c0e1f8d764c90a1abfaaa76',1,'arm_compute::test::framework::dataset::SingletonDataset::SingletonDataset(SingletonDataset &amp;&amp;)=default']]],
   ['singletondataset_2eh',['SingletonDataset.h',['../_singleton_dataset_8h.xhtml',1,'']]],
-  ['size',['size',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::gles::NDRange::size()'],['../classarm__compute_1_1_i_distribution.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::IDistribution::size()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::IDistribution1D::size()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::ILutAllocator::size()'],['../classarm__compute_1_1_i_memory_region.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::IMemoryRegion::size()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::CLAccessor::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::CartesianProductDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ContainerDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::InitializerListDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::JoinDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::RangeDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::SingletonDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ZipDataset::size()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::GCAccessor::size()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::test::IAccessor::size()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::Accessor::size()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::SimpleTensor::size()']]],
+  ['size',['size',['../structarm__compute_1_1_blob_info.xhtml#a854352f53b148adc24983a58a1866d66',1,'arm_compute::BlobInfo::size()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::gles::NDRange::size()'],['../classarm__compute_1_1_i_distribution.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::IDistribution::size()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::IDistribution1D::size()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::ILutAllocator::size()'],['../classarm__compute_1_1_i_memory_region.xhtml#a259cb5a711406a8c3e5d937eb9350cca',1,'arm_compute::IMemoryRegion::size()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::CLAccessor::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::CartesianProductDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ContainerDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::InitializerListDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::JoinDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::RangeDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::SingletonDataset::size()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#af9593d4a5ff4274efaf429cb4f9e57cc',1,'arm_compute::test::framework::dataset::ZipDataset::size()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::GCAccessor::size()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#aa983ddaeded5756189f46428be79c631',1,'arm_compute::test::IAccessor::size()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::Accessor::size()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16',1,'arm_compute::test::SimpleTensor::size()']]],
   ['size2d',['Size2D',['../classarm__compute_1_1_size2_d.xhtml',1,'Size2D'],['../classarm__compute_1_1_size2_d.xhtml#a3eb3bec6d4d66aade9a65a822b158194',1,'arm_compute::Size2D::Size2D()=default'],['../classarm__compute_1_1_size2_d.xhtml#a9863cd6393417aa75ad980189b0fedaf',1,'arm_compute::Size2D::Size2D(size_t w, size_t h)']]],
   ['size2d_2eh',['Size2D.h',['../_size2_d_8h.xhtml',1,'']]],
   ['size2darray',['Size2DArray',['../namespacearm__compute.xhtml#abd445adaaca7913c9344c90dc8c76358',1,'arm_compute']]],
   ['size_5fin_5fbytes',['size_in_bytes',['../classarm__compute_1_1_i_lut.xhtml#a6314b1e589ffe32277858c018ac3c630',1,'arm_compute::ILut::size_in_bytes()'],['../classarm__compute_1_1_c_l_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::CLLut::size_in_bytes()'],['../classarm__compute_1_1_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::Lut::size_in_bytes()']]],
   ['sizet',['SIZET',['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1',1,'arm_compute']]],
   ['slice',['slice',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa29a68ae51222595dbe5069d4e082c24',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; float &gt; &amp;src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a69e42a64983665cb7451016d3ca66e34',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; half_float::half &gt; &amp;src, Coordinates starts, Coordinates ends)']]],
-  ['slice_2ecpp',['Slice.cpp',['../_slice_8cpp.xhtml',1,'']]],
-  ['slice_5fabsolute_5fend_5fcoords',['slice_absolute_end_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#add47293d0be725957b930435482bfd53',1,'arm_compute::helpers::tensor_transform']]],
+  ['slice_2ecpp',['Slice.cpp',['../_c_l_2_slice_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_slice_8cpp.xhtml',1,'(Global Namespace)']]],
   ['slice_5fops_2ecl',['slice_ops.cl',['../slice__ops_8cl.xhtml',1,'']]],
   ['slicelayer',['SliceLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml',1,'SliceLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#af595d920ba4be189b2291e957503d9fd',1,'arm_compute::graph::frontend::SliceLayer::SliceLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ad6aa9a2c35e0cb2a5777860d8fd1084e',1,'arm_compute::graph::SliceLayer()']]],
   ['slicelayernode',['SliceLayerNode',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml',1,'SliceLayerNode'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#af106262e1a68a4a143c257f33479ef2d',1,'arm_compute::graph::SliceLayerNode::SliceLayerNode()']]],
@@ -255,7 +258,7 @@
   ['spacetobatch_2eh',['SpaceToBatch.h',['../_space_to_batch_8h.xhtml',1,'']]],
   ['spacetobatchlayer_2ecpp',['SpaceToBatchLayer.cpp',['../_space_to_batch_layer_8cpp.xhtml',1,'']]],
   ['spatial_5fscale',['spatial_scale',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::ROIPoolingLayerInfo::spatial_scale()'],['../classarm__compute_1_1_generate_proposals_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::GenerateProposalsInfo::spatial_scale()'],['../classarm__compute_1_1_compute_anchors_info.xhtml#a70fd561a558e9f433088b64587a9cb62',1,'arm_compute::ComputeAnchorsInfo::spatial_scale()']]],
-  ['split_2ecpp',['Split.cpp',['../_split_8cpp.xhtml',1,'']]],
+  ['split_2ecpp',['Split.cpp',['../_c_l_2_split_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_split_8cpp.xhtml',1,'(Global Namespace)']]],
   ['split_5fdimension',['split_dimension',['../classarm__compute_1_1_i_scheduler_1_1_hints.xhtml#a4682a1a3d110d8f8807051cd998ced88',1,'arm_compute::IScheduler::Hints']]],
   ['split_5fwindow',['split_window',['../classarm__compute_1_1_window.xhtml#ad82ac0dcf7e7a862a3b73f1be3ca98f1',1,'arm_compute::Window']]],
   ['splitlayer',['SplitLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1',1,'arm_compute::graph']]],
@@ -273,14 +276,21 @@
   ['sqsub',['sqsub',['../namespacearm__compute.xhtml#a7462bb232b41864413a4d8603a660d16',1,'arm_compute']]],
   ['square',['square',['../structarm__compute_1_1detail_1_1square.xhtml',1,'square&lt; T, S &gt;'],['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0',1,'arm_compute::ActivationLayerInfo::SQUARE()'],['../structarm__compute_1_1detail_1_1square.xhtml#a6050e9843849fcc010555e14358f2bd0',1,'arm_compute::detail::square::square()']]],
   ['square_5fsum',['square_sum',['../reduction__operation_8cl.xhtml#a48cc0583beba45dfba6d94fb6dc3c59a',1,'reduction_operation.cl']]],
-  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472',1,'arm_compute::test::validation::src()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1beeda4b42a17145fcec40dd283403f8',1,'arm_compute::test::validation::src(), filter_width, filter_height, 1, border_mode']]],
+  ['squared_5fdiff',['SQUARED_DIFF',['../elementwise__operation_8cl.xhtml#ab05bd244cb8823c69d6dce6a23a758fd',1,'SQUARED_DIFF():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#ab05bd244cb8823c69d6dce6a23a758fd',1,'SQUARED_DIFF():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916',1,'arm_compute::SQUARED_DIFF()']]],
+  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8',1,'arm_compute::test::validation::src()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0532a6909101cd29a4554ff19508c61',1,'arm_compute::test::validation::src(), dilation, act_info']]],
   ['src_5fpadding',['src_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5b50eb53d8a57ca72c8db8b2ce66e2d',1,'arm_compute::test::validation']]],
+  ['src_5fquantization_5finfo',['src_quantization_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#aec2bf1a2d6e75d2bb845dd3fdba02bc4',1,'arm_compute::test::validation']]],
+  ['src_5fvalid_5fregion',['src_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#abfb048093787b1a7878fea54e60430a4',1,'arm_compute::test::validation']]],
   ['st',['ST',['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7aec8e57d71f07e31203035548b79d03c8',1,'arm_compute::Scheduler']]],
+  ['stack_5flayer',['stack_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad85d74ccebfcf9cb1fe365106b1a8942',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c66df558c6d72fe52fdbb10a1a56ac',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; int &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a36ab5c75947ea8e7c35973444255711d',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; short &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac682fa5701bdf7949d8b5a26ef187e7b',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; char &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)']]],
+  ['stack_5flayer_2ecl',['stack_layer.cl',['../stack__layer_8cl.xhtml',1,'']]],
+  ['stacklayer_2ecpp',['StackLayer.cpp',['../_c_l_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['stacklayer_2eh',['StackLayer.h',['../_stack_layer_8h.xhtml',1,'']]],
   ['start',['start',['../structarm__compute_1_1_valid_region.xhtml#aae139363fa58e04c3d391339e820a06f',1,'arm_compute::ValidRegion::start()'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060',1,'arm_compute::Window::Dimension::start()'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a62b63bddf378b0e13a4affa3e8e1bedf',1,'arm_compute::test::framework::Instrument::start()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::MaliCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLMemoryUsage::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::PMUCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::SchedulerClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::WallClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a60de64d75454385b23995437f1d72669',1,'arm_compute::test::framework::Profiler::start()']]],
   ['start_5flifetime',['start_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#ad8645b2be72197ce554268c1dc704849',1,'arm_compute::ILifetimeManager::start_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#af9e6669812c674ab36a3cb3e592d5efe',1,'arm_compute::ISimpleLifetimeManager::start_lifetime()']]],
   ['starts',['starts',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a476f08a0729f8861bec63b7e62c7b514',1,'arm_compute::graph::SliceLayerNode']]],
   ['static',['STATIC',['../classarm__compute_1_1_i_scheduler.xhtml#ad3ab921e075d1edd827faf95870aa808afe6f99ef1ec99efbdc19a9786cf1facc',1,'arm_compute::IScheduler']]],
-  ['status',['Status',['../classarm__compute_1_1_status.xhtml',1,'Status'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9e590b7d913d38286ab0916c38bb600f',1,'arm_compute::test::framework::TestInfo::status()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#ae29aa2d4ae440022daaed1107eb306b3',1,'arm_compute::test::framework::TestResult::status()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a12bb27a4d1aa5d1e69b44b06b515be74',1,'arm_compute::test::framework::TestCaseFactory::status() const'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b',1,'arm_compute::test::framework::TestCaseFactory::Status()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b',1,'arm_compute::test::framework::TestResult::Status()'],['../classarm__compute_1_1_status.xhtml#aafde58df1b2a6a91d5b674373be3ffc5',1,'arm_compute::Status::Status()'],['../classarm__compute_1_1_status.xhtml#ac99a5dea2bc1b688ba6ecb82f593ad63',1,'arm_compute::Status::Status(ErrorCode error_status, std::string error_description=&quot; &quot;)'],['../classarm__compute_1_1_status.xhtml#a93b08299ab67e6071215b7dcabb40386',1,'arm_compute::Status::Status(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a04f96e4e7edaff82af5ac355b0b209f6',1,'arm_compute::Status::Status(Status &amp;&amp;)=default']]],
+  ['status',['Status',['../classarm__compute_1_1_status.xhtml',1,'Status'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b',1,'arm_compute::test::framework::TestCaseFactory::Status()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b',1,'arm_compute::test::framework::TestResult::Status()'],['../classarm__compute_1_1_status.xhtml#aafde58df1b2a6a91d5b674373be3ffc5',1,'arm_compute::Status::Status()'],['../classarm__compute_1_1_status.xhtml#ac99a5dea2bc1b688ba6ecb82f593ad63',1,'arm_compute::Status::Status(ErrorCode error_status, std::string error_description=&quot; &quot;)'],['../classarm__compute_1_1_status.xhtml#a93b08299ab67e6071215b7dcabb40386',1,'arm_compute::Status::Status(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a04f96e4e7edaff82af5ac355b0b209f6',1,'arm_compute::Status::Status(Status &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9e590b7d913d38286ab0916c38bb600f',1,'arm_compute::test::framework::TestInfo::status()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#ae29aa2d4ae440022daaed1107eb306b3',1,'arm_compute::test::framework::TestResult::status()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a12bb27a4d1aa5d1e69b44b06b515be74',1,'arm_compute::test::framework::TestCaseFactory::status()']]],
   ['stb_5fimage_5fimplementation',['STB_IMAGE_IMPLEMENTATION',['../utils_2_utils_8cpp.xhtml#a18372412ad2fc3ce1e3240b3cf0efe78',1,'Utils.cpp']]],
   ['std_5ftransforms_5ffixed_2ehpp',['std_transforms_fixed.hpp',['../std__transforms__fixed_8hpp.xhtml',1,'']]],
   ['std_5ftransforms_5fsve_2ehpp',['std_transforms_sve.hpp',['../std__transforms__sve_8hpp.xhtml',1,'']]],
@@ -288,8 +298,8 @@
   ['stdprinter_2eh',['StdPrinter.h',['../_std_printer_8h.xhtml',1,'']]],
   ['stdtransformsfixed',['StdTransformsFixed',['../classarm__gemm_1_1_std_transforms_fixed.xhtml',1,'arm_gemm']]],
   ['stdtransformssve',['StdTransformsSVE',['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml',1,'arm_gemm']]],
-  ['step',['step',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe',1,'arm_compute::Window::Dimension']]],
-  ['steps',['Steps',['../classarm__compute_1_1_steps.xhtml',1,'Steps'],['../classarm__compute_1_1_steps.xhtml#ad5ac35535f5df9d92f9a77bf4d772f76',1,'arm_compute::Steps::Steps(Ts... steps)'],['../classarm__compute_1_1_steps.xhtml#ae1478601d1a4df4ce6952dfedc42aea6',1,'arm_compute::Steps::Steps(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a55144677120e26b771c2ed3959fb21bf',1,'arm_compute::Steps::Steps(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_prior_box_layer_info.xhtml#a6b45b0e0f8dd18aae641aebaf5055e4d',1,'arm_compute::PriorBoxLayerInfo::steps()']]],
+  ['step',['step',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe',1,'arm_compute::Window::Dimension::step()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75b73e17c4ebe901e44af3b2b9846ab3',1,'arm_compute::test::validation::step()']]],
+  ['steps',['Steps',['../classarm__compute_1_1_steps.xhtml',1,'Steps'],['../classarm__compute_1_1_prior_box_layer_info.xhtml#a6b45b0e0f8dd18aae641aebaf5055e4d',1,'arm_compute::PriorBoxLayerInfo::steps()'],['../classarm__compute_1_1_steps.xhtml#ad5ac35535f5df9d92f9a77bf4d772f76',1,'arm_compute::Steps::Steps(Ts... steps)'],['../classarm__compute_1_1_steps.xhtml#ae1478601d1a4df4ce6952dfedc42aea6',1,'arm_compute::Steps::Steps(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a55144677120e26b771c2ed3959fb21bf',1,'arm_compute::Steps::Steps(Steps &amp;&amp;)=default']]],
   ['steps_2eh',['Steps.h',['../_steps_8h.xhtml',1,'']]],
   ['stof',['stof',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a1df10cffb9f2dea9f3b007ce411e105f',1,'arm_compute::support::cpp11']]],
   ['stoi',['stoi',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#abdba606a789b8d664774f17d18f45cfe',1,'arm_compute::support::cpp11']]],
@@ -317,10 +327,7 @@
   ['stride_5fy',['stride_y',['../struct_image.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1',1,'Image::stride_y()'],['../struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1',1,'Tensor3D::stride_y()'],['../struct_tensor4_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1',1,'Tensor4D::stride_y()']]],
   ['stride_5fz',['stride_z',['../struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c',1,'Tensor3D::stride_z()'],['../struct_tensor4_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c',1,'Tensor4D::stride_z()']]],
   ['strided_5fslice',['strided_slice',['../slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac',1,'strided_slice():&#160;slice_ops.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1cd4d70f0bab74b1aa3cb43b3e3a0be5',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6afd3ff048b88a08c17e61277bfd10cb',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; float &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a58bfd4f5ff4a8e1fc0999c6bb5ac5a15',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; half_float::half &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)']]],
-  ['strided_5fslice_5fabsolute_5fend_5fcoords',['strided_slice_absolute_end_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a88bcbb798479cb74a34e0c4b1de181c8',1,'arm_compute::helpers::tensor_transform']]],
-  ['strided_5fslice_5fabsolute_5fstart_5fcoords',['strided_slice_absolute_start_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aa5cd68178f4a5d7e9f3be67c19178fbe',1,'arm_compute::helpers::tensor_transform']]],
-  ['strided_5fslice_5fstrides',['strided_slice_strides',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a125684caafdab8cdee40e424166cf61f',1,'arm_compute::helpers::tensor_transform']]],
-  ['stridedslice_2ecpp',['StridedSlice.cpp',['../_strided_slice_8cpp.xhtml',1,'']]],
+  ['stridedslice_2ecpp',['StridedSlice.cpp',['../_c_l_2_strided_slice_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_strided_slice_8cpp.xhtml',1,'(Global Namespace)']]],
   ['strides',['Strides',['../classarm__compute_1_1_strides.xhtml',1,'Strides'],['../classarm__compute_1_1_strides.xhtml#ae4ffc5088cdc9de84c422f3952af4ee1',1,'arm_compute::Strides::Strides(Ts... strides)'],['../classarm__compute_1_1_strides.xhtml#aff8ae27aa78df0ff95b55bbf726c92da',1,'arm_compute::Strides::Strides(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a6b0793690f5dce340a23009dbd04f482',1,'arm_compute::Strides::Strides(Strides &amp;&amp;)=default']]],
   ['strides_2eh',['Strides.h',['../_strides_8h.xhtml',1,'']]],
   ['strides_5fin_5fbytes',['strides_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f',1,'arm_compute::ITensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::SubTensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::TensorInfo::strides_in_bytes()']]],
@@ -342,7 +349,8 @@
   ['string_5ffrom_5ftarget',['string_from_target',['../namespacearm__compute.xhtml#af7795707992825c309fe846740dc8cf8',1,'arm_compute']]],
   ['string_5fwith_5fformat',['string_with_format',['../namespacearm__compute_1_1logging.xhtml#a1ee67c2cdc03648fa752d866d6b44890',1,'arm_compute::logging']]],
   ['stringdecorator',['StringDecorator',['../classarm__compute_1_1logging_1_1_string_decorator.xhtml',1,'StringDecorator'],['../classarm__compute_1_1logging_1_1_string_decorator.xhtml#a771c01048077563edb8c5bfe596cd5e6',1,'arm_compute::logging::StringDecorator::StringDecorator()']]],
-  ['sub',['sub',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cf018925dff7200819397bf8a295a0f',1,'arm_compute::test::validation::sub()'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()'],['../arithmetic__op_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;arithmetic_op.cl'],['../arithmetic__op__quantized_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;arithmetic_op_quantized.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()']]],
+  ['sub',['SUB',['../elementwise__operation_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::SUB()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cf018925dff7200819397bf8a295a0f',1,'arm_compute::test::validation::sub()'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()']]],
+  ['sub_2eh',['sub.h',['../sub_8h.xhtml',1,'']]],
   ['sub_5fop',['SUB_OP',['../batchnormalization__layer_8cl.xhtml#ad778425e4131c4731f17d7e6e3499a07',1,'SUB_OP():&#160;batchnormalization_layer.cl'],['../softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e',1,'SUB_OP():&#160;softmax_layer.cl']]],
   ['substream',['SubStream',['../classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml',1,'SubStream'],['../classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#abbc925e1a1607e3535e7b6f618032ac1',1,'arm_compute::graph::frontend::SubStream::SubStream()']]],
   ['substream_2ecpp',['SubStream.cpp',['../_sub_stream_8cpp.xhtml',1,'']]],
@@ -354,10 +362,12 @@
   ['subtensorinfo_2ecpp',['SubTensorInfo.cpp',['../_sub_tensor_info_8cpp.xhtml',1,'']]],
   ['subtensorinfo_2eh',['SubTensorInfo.h',['../_sub_tensor_info_8h.xhtml',1,'']]],
   ['success',['SUCCESS',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bad0749aaba8b833466dfcbb0428e4f89c',1,'arm_compute::test::framework::TestResult']]],
-  ['sum',['SUM',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a',1,'arm_compute::SUM()'],['../reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782',1,'sum():&#160;reduction_operation.cl']]],
+  ['sum',['sum',['../reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782',1,'sum():&#160;reduction_operation.cl'],['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a',1,'arm_compute::SUM()']]],
   ['sum_5fsquare',['SUM_SQUARE',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64',1,'arm_compute']]],
+  ['supports_5fdynamic_5fscheduling',['supports_dynamic_scheduling',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmHybrid::supports_dynamic_scheduling()'],['../classarm__gemm_1_1_gemm_native.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmNative::supports_dynamic_scheduling()']]],
   ['suppress_5fnon_5fmaximum',['suppress_non_maximum',['../canny_8cl.xhtml#a8c233c75ee1010bcec8601d559f4be68',1,'canny.cl']]],
   ['suppress_5fsize',['suppress_size',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a0c1430ec3d495d93f98731a5f1c89f08',1,'arm_compute::BoxNMSLimitInfo']]],
+  ['sve_5fhybrid_5ffp32_5fmla_5f4vlx4_2ehpp',['sve_hybrid_fp32_mla_4VLx4.hpp',['../sve__hybrid__fp32__mla__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5f32bit_2ehpp',['sve_interleave_8way_32bit.hpp',['../sve__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5fblock2_5f32bit_2ehpp',['sve_interleave_8way_block2_32bit.hpp',['../sve__interleave__8way__block2__32bit_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5fblock4_5f8bit_2ehpp',['sve_interleave_8way_block4_8bit.hpp',['../sve__interleave__8way__block4__8bit_8hpp.xhtml',1,'']]],
@@ -367,6 +377,11 @@
   ['sve_5finterleaved_5fu8u32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_u8u32_dot_3VLx8.hpp',['../sve__interleaved__u8u32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fmerge_5ffp32_5f2vlx8_2ehpp',['sve_merge_fp32_2VLx8.hpp',['../sve__merge__fp32__2_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fmerge_5ffp32_5f3vlx8_2ehpp',['sve_merge_fp32_3VLx8.hpp',['../sve__merge__fp32__3_v_lx8_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5ffp32_5fmla_5f4vlx4_2ehpp',['sve_native_fp32_mla_4VLx4.hpp',['../sve__native__fp32__mla__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5fs8s32_5fdot_5f4vlx4_2ehpp',['sve_native_s8s32_dot_4VLx4.hpp',['../sve__native__s8s32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5fu8u32_5fdot_5f4vlx4_2ehpp',['sve_native_u8u32_dot_4VLx4.hpp',['../sve__native__u8u32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_fp32_mla_1VLx4.hpp',['../sve__small_k__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5fhybrid_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_hybrid_fp32_mla_1VLx4.hpp',['../sve__small_k__hybrid__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
   ['swap',['swap',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224',1,'arm_compute::test::SimpleTensor::swap()'],['../namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3',1,'arm_compute::test::swap()']]],
   ['swap_5f4x4',['SWAP_4x4',['../transpose_8cl.xhtml#af5dc9980a3e0aae2cba22e97b9458bc9',1,'transpose.cl']]],
   ['swap_5f8x8',['SWAP_8x8',['../transpose_8cl.xhtml#a91074bda470bd8bec36799fdaffd107a',1,'transpose.cl']]],
diff --git a/documentation/search/all_15.html b/documentation/search/all_15.html
index 8afe9a0..c0fc0aa 100644
--- a/documentation/search/all_15.html
+++ b/documentation/search/all_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_15.js b/documentation/search/all_15.js
index 668d9cf..e8278dd 100644
--- a/documentation/search/all_15.js
+++ b/documentation/search/all_15.js
@@ -3,6 +3,7 @@
   ['t600',['T600',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a6855a4342969d2b58c96d95385d6e673',1,'arm_compute']]],
   ['t700',['T700',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a664a94fa85b127eabc7bed25091843fd',1,'arm_compute']]],
   ['t800',['T800',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aae926a8537ded0221329aa9a89b84048',1,'arm_compute']]],
+  ['t_5fvalue',['t_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9490c76b7ba91686fa4f7c142daf2f0',1,'arm_compute::test::validation']]],
   ['table_5flookup',['table_lookup',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a935c4b1c0ddcd108097e6a4a7fd520e8',1,'arm_compute::test::validation::reference::table_lookup(const SimpleTensor&lt; T &gt; &amp;src, const std::map&lt; T, T &gt; &amp;rawlut)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3a87ef7fe41b158671d4cf7a511aebec',1,'arm_compute::test::validation::reference::table_lookup(const SimpleTensor&lt; uint8_t &gt; &amp;src, const std::map&lt; uint8_t, uint8_t &gt; &amp;rawlut)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2860e24e7982ebd58891aae4d0a90ad0',1,'arm_compute::test::validation::reference::table_lookup(const SimpleTensor&lt; int16_t &gt; &amp;src, const std::map&lt; int16_t, int16_t &gt; &amp;rawlut)']]],
   ['tablelookup_2ecl',['tablelookup.cl',['../tablelookup_8cl.xhtml',1,'']]],
   ['tablelookup_2ecpp',['TableLookup.cpp',['../_c_l_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -11,6 +12,7 @@
   ['tablelookup_5fu8',['tablelookup_U8',['../tablelookup_8cl.xhtml#ad64728d0b577942fb98aca553bca7f77',1,'tablelookup.cl']]],
   ['tail_5fnode',['tail_node',['../classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a110fbabe5b6b600f0f5b1fec06ab1484',1,'arm_compute::graph::frontend::IStream']]],
   ['tanh',['TANH',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1',1,'arm_compute::ActivationLayerInfo']]],
+  ['tanh_2eh',['tanh.h',['../tanh_8h.xhtml',1,'']]],
   ['target',['target',['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::MemoryManagerContext::target()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::TensorDescriptor::target()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::NodeParams::target()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a29d9bc83bfba2fba21af47e575569dde',1,'arm_compute::utils::CommonGraphParams::target()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a770e3e82cb8e4632d754e651fd29b9cb',1,'arm_compute::utils::CommonGraphOptions::target()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a0940aabdc8069229baa191d992e43140',1,'arm_compute::graph::backends::CLSubTensorHandle::target()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a0940aabdc8069229baa191d992e43140',1,'arm_compute::graph::backends::CLTensorHandle::target()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a0940aabdc8069229baa191d992e43140',1,'arm_compute::graph::backends::GCTensorHandle::target()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a0940aabdc8069229baa191d992e43140',1,'arm_compute::graph::backends::NESubTensorHandle::target()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a0940aabdc8069229baa191d992e43140',1,'arm_compute::graph::backends::NETensorHandle::target()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a67fcbb365a7d36bdecf7c6df921762a0',1,'arm_compute::graph::ITensorHandle::target()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a27561688e2fc60176608ef725a4ecb30',1,'arm_compute::CLScheduler::target()'],['../namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d',1,'arm_compute::graph::Target()']]],
   ['target_5ffrom_5fname',['target_from_name',['../namespacearm__compute_1_1graph.xhtml#adcd882fc459bcf59d5e155c73e410ff9',1,'arm_compute::graph']]],
   ['target_5fhint',['target_hint',['../structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b',1,'arm_compute::graph::frontend::StreamHints']]],
@@ -30,7 +32,6 @@
   ['tensor4d_5foffset',['tensor4D_offset',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822',1,'helpers.h']]],
   ['tensor_5felem_5fat',['tensor_elem_at',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f489943d8618d47b1ad4611f0b9b7ff',1,'arm_compute::test::validation']]],
   ['tensor_5fid',['tensor_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#af20a11225e8c9ae2029e12f2ff05d95b',1,'arm_compute::graph::Edge']]],
-  ['tensor_5finfo_5fin',['tensor_info_in',['../namespacearm__compute_1_1test_1_1validation.xhtml#acc56b65684fb727508eab26f947dabc7',1,'arm_compute::test::validation::tensor_info_in()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c8a00dedf0ec444353f2102207bed76',1,'arm_compute::test::validation::tensor_info_in(shape_in_nhwc, 1, data_type)']]],
   ['tensor_5fshape',['tensor_shape',['../classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d',1,'arm_compute::ITensorInfo::tensor_shape()'],['../classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122',1,'arm_compute::PyramidInfo::tensor_shape()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e',1,'arm_compute::SubTensorInfo::tensor_shape()'],['../classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e',1,'arm_compute::TensorInfo::tensor_shape()']]],
   ['tensor_5ftransform_2ecpp',['tensor_transform.cpp',['../tensor__transform_8cpp.xhtml',1,'']]],
   ['tensor_5ftransform_2eh',['tensor_transform.h',['../tensor__transform_8h.xhtml',1,'']]],
@@ -54,7 +55,7 @@
   ['term_5fcriteria_5fepsilon',['TERM_CRITERIA_EPSILON',['../namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453a5a2e12b6baf7ad91a2ce32f19c36bd1b',1,'arm_compute']]],
   ['term_5fcriteria_5fiterations',['TERM_CRITERIA_ITERATIONS',['../namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453a43f2a8b688fb96e5ad8ba08308bbcdfd',1,'arm_compute']]],
   ['termination',['termination',['../structarm__compute_1_1_optical_flow_parameters.xhtml#a77d1ea96211300e9417b965981953c81',1,'arm_compute::OpticalFlowParameters::termination()'],['../namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453',1,'arm_compute::Termination()']]],
-  ['test_5fcase',['TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a846b2e70d2ba2180ccb81045c88b8409',1,'TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6',1,'arm_compute::test::validation::TEST_CASE(Configuration, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a567a0fd1d570601eeb9a3ea311a8f82f',1,'arm_compute::test::validation::TEST_CASE(ImportMemory, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa566ba82958e029d499244f57fb35b48',1,'arm_compute::test::validation::TEST_CASE(BifrostTunerSimple, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e2548e7869a2a26fd87e52d9c12161',1,'arm_compute::test::validation::TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa33b5b965fca34d01c787ebb04f04c11',1,'arm_compute::test::validation::TEST_CASE(AlignedAlloc, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fbc9ffeaea0651b482a0e9e64956029',1,'arm_compute::test::validation::TEST_CASE(GetGPUTargetFromName, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac3c972034bb3441819d21c634e32ec0',1,'arm_compute::test::validation::TEST_CASE(GPUTargetIsIn, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae82eb91cd4c4f1f4f8f2fa2e4a574a4',1,'arm_compute::test::validation::TEST_CASE(Clone, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac54385f5529b6e6c671ce81ff22ff042',1,'arm_compute::test::validation::TEST_CASE(TensorInfoBuild, framework::DatasetMode::ALL)']]],
+  ['test_5fcase',['TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a846b2e70d2ba2180ccb81045c88b8409',1,'TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6',1,'arm_compute::test::validation::TEST_CASE(Configuration, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a567a0fd1d570601eeb9a3ea311a8f82f',1,'arm_compute::test::validation::TEST_CASE(ImportMemory, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa566ba82958e029d499244f57fb35b48',1,'arm_compute::test::validation::TEST_CASE(BifrostTunerSimple, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f20e3c02fe7bf3da8f52d3fbaec2178',1,'arm_compute::test::validation::TEST_CASE(Float, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43d6fccd8ec91f04ba8f9e56f796c8f0',1,'arm_compute::test::validation::TEST_CASE(Quantized, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e2548e7869a2a26fd87e52d9c12161',1,'arm_compute::test::validation::TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa33b5b965fca34d01c787ebb04f04c11',1,'arm_compute::test::validation::TEST_CASE(AlignedAlloc, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fbc9ffeaea0651b482a0e9e64956029',1,'arm_compute::test::validation::TEST_CASE(GetGPUTargetFromName, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac3c972034bb3441819d21c634e32ec0',1,'arm_compute::test::validation::TEST_CASE(GPUTargetIsIn, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae82eb91cd4c4f1f4f8f2fa2e4a574a4',1,'arm_compute::test::validation::TEST_CASE(Clone, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac54385f5529b6e6c671ce81ff22ff042',1,'arm_compute::test::validation::TEST_CASE(TensorInfoBuild, framework::DatasetMode::ALL)']]],
   ['test_5fcase_5fconstructor',['TEST_CASE_CONSTRUCTOR',['../tests_2framework_2_macros_8h.xhtml#a8716f830d34bff577c8687183231b952',1,'Macros.h']]],
   ['test_5fcase_5fimpl',['TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#ad9cb504466989983a34d7ad9674467b2',1,'Macros.h']]],
   ['test_5finfos',['test_infos',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aacd94676ebb33ecba00dfebe12c9392d',1,'arm_compute::test::framework::Framework']]],
@@ -62,7 +63,7 @@
   ['test_5fregistrar',['TEST_REGISTRAR',['../tests_2framework_2_macros_8h.xhtml#a31357313a6bdb0dc09a7cae7d7f91377',1,'Macros.h']]],
   ['test_5fstart',['test_start',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a66c51340d5301212438dd42cddd9b015',1,'arm_compute::test::framework::Instrument::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::OpenCLMemoryUsage::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::OpenCLClock::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::SchedulerClock::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a4b454bbf54829d209850a8efa639b942',1,'arm_compute::test::framework::Profiler::test_start()']]],
   ['test_5fstop',['test_stop',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a24b0f69632f7d082aad3e0fceaf4f5b1',1,'arm_compute::test::framework::Instrument::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::OpenCLMemoryUsage::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::OpenCLClock::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::SchedulerClock::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a19091d72dfe50cd8474566e912701e8c',1,'arm_compute::test::framework::Profiler::test_stop()']]],
-  ['test_5fsuite',['TEST_SUITE',['../tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835',1,'Macros.h']]],
+  ['test_5fsuite',['TEST_SUITE',['../tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835',1,'TEST_SUITE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f',1,'arm_compute::test::validation::TEST_SUITE()']]],
   ['test_5fsuite_5fend',['TEST_SUITE_END',['../tests_2framework_2_macros_8h.xhtml#a603cb7f45efd81606e51686da9aeebd9',1,'TEST_SUITE_END():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad5ac3cf6c64c212c685f8b16d293cda4',1,'arm_compute::test::benchmark::TEST_SUITE_END()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae',1,'arm_compute::test::validation::TEST_SUITE_END()']]],
   ['testcase',['TestCase',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml',1,'arm_compute::test::framework']]],
   ['testcase_2eh',['TestCase.h',['../_test_case_8h.xhtml',1,'']]],
@@ -78,6 +79,7 @@
   ['testresult_2eh',['TestResult.h',['../_test_result_8h.xhtml',1,'']]],
   ['tests',['TESTS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9ac769ef7bddc01ed21a9f7c5fecbe2430',1,'arm_compute::test::framework']]],
   ['testsuiteregistrar',['TestSuiteRegistrar',['../classarm__compute_1_1test_1_1framework_1_1detail_1_1_test_suite_registrar.xhtml',1,'TestSuiteRegistrar'],['../classarm__compute_1_1test_1_1framework_1_1detail_1_1_test_suite_registrar.xhtml#a890f3b71cffb279d8aaf55228fbbe482',1,'arm_compute::test::framework::detail::TestSuiteRegistrar::TestSuiteRegistrar()'],['../classarm__compute_1_1test_1_1framework_1_1detail_1_1_test_suite_registrar.xhtml#afa724f43bad1b7b4c29b0d32ae859ddb',1,'arm_compute::test::framework::detail::TestSuiteRegistrar::TestSuiteRegistrar(std::string name)']]],
+  ['tf_5fcenter',['TF_CENTER',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830ae65a115db9b4bcc4ae0aa0b989089d16',1,'arm_compute']]],
   ['tfpreproccessor',['TFPreproccessor',['../classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml',1,'TFPreproccessor'],['../classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#ab58008704726cd07353605b1d9e13d86',1,'arm_compute::graph_utils::TFPreproccessor::TFPreproccessor()']]],
   ['thread_5fid',['thread_id',['../structarm__compute_1_1_thread_info.xhtml#ab488bfc5d1f76143651f915915046354',1,'arm_compute::ThreadInfo']]],
   ['threadiddecorator',['ThreadIdDecorator',['../classarm__compute_1_1logging_1_1_thread_id_decorator.xhtml',1,'arm_compute::logging']]],
@@ -93,28 +95,34 @@
   ['thresholdtype',['ThresholdType',['../namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649',1,'arm_compute']]],
   ['throw_5ferrors',['throw_errors',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#acfa78593a32c16d1b3f397a68bbd1c29',1,'arm_compute::test::framework::CommonOptions::throw_errors()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af2086722b11ed9e777db00a74cdecfc1',1,'arm_compute::test::framework::Framework::throw_errors()']]],
   ['throw_5fif_5ferror',['throw_if_error',['../classarm__compute_1_1_status.xhtml#aa2f335ef3de70785fc17eaa1137ede53',1,'arm_compute::Status']]],
+  ['tile',['tile',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; T &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9cb59283ffd29ef361fbd3cb3210969a',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint8_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae596700e94d56a3c0bba0618cc8dfa77',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int8_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaa7eb6a776fe2f70b1a14ab10a2a328f',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint16_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f96416023f4be64c4121eeb5ccee762',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int16_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a814c6cf20944d1f74831d755daebe165',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint32_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a61f2f4b00eae513e610668cc1442ad2d',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int32_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1c5026785894b871c99266c939e4a4f6',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; half &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adfbf8210332d2d06a04bde1aa6377a52',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; float &gt; &amp;src, const Multiples &amp;multiples)']]],
+  ['tile_2ecl',['tile.cl',['../tile_8cl.xhtml',1,'']]],
+  ['tile_2ecpp',['Tile.cpp',['../_c_l_2_tile_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_tile_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_tile_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['tile_2eh',['Tile.h',['../_tile_8h.xhtml',1,'']]],
   ['time_5fms',['TIME_MS',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100a8ed2f2476469f812d63a2f4e83166c61',1,'arm_compute::test::framework']]],
   ['time_5fs',['TIME_S',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100a55d658bdb6741297d391d36632cb51b1',1,'arm_compute::test::framework']]],
   ['time_5fus',['TIME_US',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100ab843f590d06438293e06980b4f94bf39',1,'arm_compute::test::framework']]],
   ['to_5fnearest_5feven',['TO_NEAREST_EVEN',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea02ff1fff1812f84c89547fcd6c176150',1,'arm_compute']]],
   ['to_5fnearest_5fup',['TO_NEAREST_UP',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95',1,'arm_compute']]],
-  ['to_5fstring',['to_string',['../classarm__compute_1_1_size2_d.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::Size2D::to_string()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::test::framework::Measurement::Value::to_string()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a',1,'arm_compute::test::framework::to_string(DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab92295a2eda07d5ec770244f8e47dbb7',1,'arm_compute::test::framework::to_string(LogLevel level)'],['../namespacearm__compute.xhtml#ab75d8ff29ba9b398d5740b3efd156e71',1,'arm_compute::to_string(const arm_compute::GradientDimension &amp;type)'],['../namespacearm__compute.xhtml#aabe16be22edb41656e66ed9eae3b69e6',1,'arm_compute::to_string(const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#a27f0ebddef1b83e0ac31c7a7a23a8d36',1,'arm_compute::to_string(const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#ac7e5dca61375f7583860ab07d951a323',1,'arm_compute::to_string(const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#aadd27b86f0ff4fbb03ed673a549e91a8',1,'arm_compute::to_string(const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a24bc4de5c636b56f9b59533fead920c2',1,'arm_compute::to_string(const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#aa597016c0aaa2990ed31b8aaa6f2ccc3',1,'arm_compute::to_string(const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#ad9fd48b3c01116b217a684aaeaf8b24f',1,'arm_compute::to_string(const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a72626d2cca3922127c41526e37e9e623',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a8a18c453150ab547c1add44b3ed3bc56',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo::ActivationFunction &amp;function)'],['../namespacearm__compute.xhtml#a45dd771bdecbafb975fd267c2ae320a7',1,'arm_compute::to_string(const arm_compute::NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a25dac68b6321b9e53027e79222a0eb7f',1,'arm_compute::to_string(const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#ae1240e4698e8a901179e519102b5e033',1,'arm_compute::to_string(const arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#a96b47511b549b48d2ead05b5c757ccc9',1,'arm_compute::to_string(const arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#ab0e6381843dc9901bb59285ec846dc5d',1,'arm_compute::to_string(const Format &amp;format)'],['../namespacearm__compute.xhtml#a813e71cd70c2bbcbf0743fa83a3608b9',1,'arm_compute::to_string(const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a48fd5e28bdb4975c141841f0b96f8707',1,'arm_compute::to_string(const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#aa32488ee1dd78e0464ed23e8cc2b6e49',1,'arm_compute::to_string(const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#a1c4486f45128be7156e38e6dea345a16',1,'arm_compute::to_string(const Strides &amp;stride)'],['../namespacearm__compute.xhtml#a9d9b56d1b106b79fc5c5411372222d0f',1,'arm_compute::to_string(const TensorShape &amp;shape)'],['../namespacearm__compute.xhtml#a805a74997e303d29108845956a674387',1,'arm_compute::to_string(const Coordinates &amp;coord)'],['../namespacearm__compute.xhtml#a26a595cd5522bae4fa1c4f2fb9b8f4d5',1,'arm_compute::to_string(const WeightsInfo &amp;info)'],['../namespacearm__compute.xhtml#adac3c1908846c6361e664a353ad1c3cf',1,'arm_compute::to_string(const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a8ac2dfdfad6db71a5cf2ecee6b70f722',1,'arm_compute::to_string(const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#ab6ea50ec0a98c2180e6530cfcb5eb366',1,'arm_compute::to_string(const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#a99aba2774f142d36c6a286cbfe027772',1,'arm_compute::to_string(const Window &amp;win)'],['../namespacearm__compute.xhtml#a2c0e6c1c4cf10da25e7a7362ba151ba2',1,'arm_compute::to_string(const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a0604106dd269acd58152a81ba87cc265',1,'arm_compute::to_string(const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#a5c9cde9144eaeceaf086377b9bc5a5be',1,'arm_compute::to_string(const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#a09b674dcee4a1b59f9c7c51ecaae40a6',1,'arm_compute::to_string(const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a94bd78942b683c05cba85048537d3ee7',1,'arm_compute::to_string(const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a5b8e815072ae54278cb1c91e254be4d3',1,'arm_compute::to_string(const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#adcc7e107e7dbd2ffac02189089c33e4f',1,'arm_compute::to_string(const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aae534105c7ea67999ccbb34a0ed567cd',1,'arm_compute::to_string(const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#ad8b676c38d9b8d9d9bde7caec5720bd9',1,'arm_compute::to_string(const NormType &amp;type)'],['../namespacearm__compute.xhtml#a2872d19dd10dc3117813d291c08e0383',1,'arm_compute::to_string(const PoolingType &amp;type)'],['../namespacearm__compute.xhtml#acef515348c5f7f73c89aa4b8a47a02bc',1,'arm_compute::to_string(const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae62747a5179626328bf7e67c709d5fcf',1,'arm_compute::to_string(const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae4ead564f3c96ea5f1ec7fe035b941f3',1,'arm_compute::to_string(const arm_compute::PhaseType &amp;type)'],['../namespacearm__compute.xhtml#a42e6f8761f01b5846f56c3b8025c8c0a',1,'arm_compute::to_string(const arm_compute::MagnitudeType &amp;type)'],['../namespacearm__compute.xhtml#a950ba288e8136db4bf52f7c51dea20eb',1,'arm_compute::to_string(const HOGNormType &amp;type)'],['../namespacearm__compute.xhtml#aee88a2c259879eb9dc18cb5965e87c29',1,'arm_compute::to_string(const Size2D &amp;type)'],['../namespacearm__compute.xhtml#a3cf43a216912b361eaffc3c71452a31e',1,'arm_compute::to_string(const HOGInfo &amp;type)'],['../namespacearm__compute.xhtml#a853d44a32a328fb4455f6200a11c4785',1,'arm_compute::to_string(const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#aee29ccfc095313663fc954f581ddf40a',1,'arm_compute::to_string(const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a905d7ec8787e8c4b7e88b0a2faaccd1f',1,'arm_compute::to_string(const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a51fc944d872cf00c1e8e71ccdf8be264',1,'arm_compute::to_string(const Termination &amp;termination)'],['../namespacearm__compute.xhtml#add33a9d992aeaa69d6940fd896ee5e75',1,'arm_compute::to_string(const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a6411da4e87e64e8859f8b725645ee9aa',1,'arm_compute::to_string(const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#a37cc282b0852aab04b13a6e6566adda7',1,'arm_compute::to_string(const WinogradInfo &amp;type)'],['../namespacearm__compute.xhtml#a1d8c24abe3cf6edd704d126d1d2a5420',1,'arm_compute::to_string(const T &amp;val)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7',1,'arm_compute::support::cpp11::to_string(T &amp;&amp;value)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aae1437f4a38c4ada64e7a2586aa35bf8',1,'arm_compute::support::cpp11::to_string(bool value)']]],
+  ['to_5fstring',['to_string',['../classarm__compute_1_1_size2_d.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::Size2D::to_string()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::test::framework::Measurement::Value::to_string()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a',1,'arm_compute::test::framework::to_string(DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab92295a2eda07d5ec770244f8e47dbb7',1,'arm_compute::test::framework::to_string(LogLevel level)'],['../namespacearm__compute.xhtml#ab75d8ff29ba9b398d5740b3efd156e71',1,'arm_compute::to_string(const arm_compute::GradientDimension &amp;type)'],['../namespacearm__compute.xhtml#aabe16be22edb41656e66ed9eae3b69e6',1,'arm_compute::to_string(const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#a27f0ebddef1b83e0ac31c7a7a23a8d36',1,'arm_compute::to_string(const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#ac7e5dca61375f7583860ab07d951a323',1,'arm_compute::to_string(const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#aadd27b86f0ff4fbb03ed673a549e91a8',1,'arm_compute::to_string(const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a24bc4de5c636b56f9b59533fead920c2',1,'arm_compute::to_string(const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#aa597016c0aaa2990ed31b8aaa6f2ccc3',1,'arm_compute::to_string(const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#ad9fd48b3c01116b217a684aaeaf8b24f',1,'arm_compute::to_string(const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a72626d2cca3922127c41526e37e9e623',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a8a18c453150ab547c1add44b3ed3bc56',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo::ActivationFunction &amp;function)'],['../namespacearm__compute.xhtml#a45dd771bdecbafb975fd267c2ae320a7',1,'arm_compute::to_string(const arm_compute::NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a25dac68b6321b9e53027e79222a0eb7f',1,'arm_compute::to_string(const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#ae1240e4698e8a901179e519102b5e033',1,'arm_compute::to_string(const arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#a96b47511b549b48d2ead05b5c757ccc9',1,'arm_compute::to_string(const arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#ab0e6381843dc9901bb59285ec846dc5d',1,'arm_compute::to_string(const Format &amp;format)'],['../namespacearm__compute.xhtml#a813e71cd70c2bbcbf0743fa83a3608b9',1,'arm_compute::to_string(const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a48fd5e28bdb4975c141841f0b96f8707',1,'arm_compute::to_string(const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#aa32488ee1dd78e0464ed23e8cc2b6e49',1,'arm_compute::to_string(const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#a1c4486f45128be7156e38e6dea345a16',1,'arm_compute::to_string(const Strides &amp;stride)'],['../namespacearm__compute.xhtml#a9d9b56d1b106b79fc5c5411372222d0f',1,'arm_compute::to_string(const TensorShape &amp;shape)'],['../namespacearm__compute.xhtml#a805a74997e303d29108845956a674387',1,'arm_compute::to_string(const Coordinates &amp;coord)'],['../namespacearm__compute.xhtml#a26a595cd5522bae4fa1c4f2fb9b8f4d5',1,'arm_compute::to_string(const WeightsInfo &amp;info)'],['../namespacearm__compute.xhtml#adac3c1908846c6361e664a353ad1c3cf',1,'arm_compute::to_string(const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a8ac2dfdfad6db71a5cf2ecee6b70f722',1,'arm_compute::to_string(const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#ab6ea50ec0a98c2180e6530cfcb5eb366',1,'arm_compute::to_string(const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#a99aba2774f142d36c6a286cbfe027772',1,'arm_compute::to_string(const Window &amp;win)'],['../namespacearm__compute.xhtml#a2c0e6c1c4cf10da25e7a7362ba151ba2',1,'arm_compute::to_string(const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a0604106dd269acd58152a81ba87cc265',1,'arm_compute::to_string(const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#a5c9cde9144eaeceaf086377b9bc5a5be',1,'arm_compute::to_string(const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#a09b674dcee4a1b59f9c7c51ecaae40a6',1,'arm_compute::to_string(const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#ad710fdad147ab4ab21e14a7c49b3516a',1,'arm_compute::to_string(const Multiples &amp;multiples)'],['../namespacearm__compute.xhtml#a94bd78942b683c05cba85048537d3ee7',1,'arm_compute::to_string(const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a5b8e815072ae54278cb1c91e254be4d3',1,'arm_compute::to_string(const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#adcc7e107e7dbd2ffac02189089c33e4f',1,'arm_compute::to_string(const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aca516517d47534e06d4c57e7bc706b2a',1,'arm_compute::to_string(const ArithmeticOperation &amp;op)'],['../namespacearm__compute.xhtml#aae534105c7ea67999ccbb34a0ed567cd',1,'arm_compute::to_string(const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#a77007283b591963074b8398202e90f5a',1,'arm_compute::to_string(const ComparisonOperation &amp;op)'],['../namespacearm__compute.xhtml#ab76157462925ad1b13149317ded2e404',1,'arm_compute::to_string(const ElementWiseUnary &amp;op)'],['../namespacearm__compute.xhtml#ad8b676c38d9b8d9d9bde7caec5720bd9',1,'arm_compute::to_string(const NormType &amp;type)'],['../namespacearm__compute.xhtml#a2872d19dd10dc3117813d291c08e0383',1,'arm_compute::to_string(const PoolingType &amp;type)'],['../namespacearm__compute.xhtml#acef515348c5f7f73c89aa4b8a47a02bc',1,'arm_compute::to_string(const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae62747a5179626328bf7e67c709d5fcf',1,'arm_compute::to_string(const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae4ead564f3c96ea5f1ec7fe035b941f3',1,'arm_compute::to_string(const arm_compute::PhaseType &amp;type)'],['../namespacearm__compute.xhtml#a42e6f8761f01b5846f56c3b8025c8c0a',1,'arm_compute::to_string(const arm_compute::MagnitudeType &amp;type)'],['../namespacearm__compute.xhtml#a950ba288e8136db4bf52f7c51dea20eb',1,'arm_compute::to_string(const HOGNormType &amp;type)'],['../namespacearm__compute.xhtml#aee88a2c259879eb9dc18cb5965e87c29',1,'arm_compute::to_string(const Size2D &amp;type)'],['../namespacearm__compute.xhtml#a3cf43a216912b361eaffc3c71452a31e',1,'arm_compute::to_string(const HOGInfo &amp;type)'],['../namespacearm__compute.xhtml#a853d44a32a328fb4455f6200a11c4785',1,'arm_compute::to_string(const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#aee29ccfc095313663fc954f581ddf40a',1,'arm_compute::to_string(const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a41c7dc2aa88c4e30effb2e3f550de481',1,'arm_compute::to_string(const DetectionOutputLayerCodeType &amp;detection_code)'],['../namespacearm__compute.xhtml#a4084858fda1caec39457dd70322e6bd6',1,'arm_compute::to_string(const DetectionOutputLayerInfo &amp;detection_info)'],['../namespacearm__compute.xhtml#a905d7ec8787e8c4b7e88b0a2faaccd1f',1,'arm_compute::to_string(const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a51fc944d872cf00c1e8e71ccdf8be264',1,'arm_compute::to_string(const Termination &amp;termination)'],['../namespacearm__compute.xhtml#add33a9d992aeaa69d6940fd896ee5e75',1,'arm_compute::to_string(const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a6411da4e87e64e8859f8b725645ee9aa',1,'arm_compute::to_string(const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#a37cc282b0852aab04b13a6e6566adda7',1,'arm_compute::to_string(const WinogradInfo &amp;type)'],['../namespacearm__compute.xhtml#a1d8c24abe3cf6edd704d126d1d2a5420',1,'arm_compute::to_string(const T &amp;val)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7',1,'arm_compute::support::cpp11::to_string(T &amp;&amp;value)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aae1437f4a38c4ada64e7a2586aa35bf8',1,'arm_compute::support::cpp11::to_string(bool value)']]],
   ['to_5fstring_5fif_5fnot_5fnull',['to_string_if_not_null',['../namespacearm__compute.xhtml#ad023d4ca1d3facf3975c941fd728a6f4',1,'arm_compute']]],
-  ['to_5fzero',['TO_ZERO',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea5631ad8e27788edfca7e13535d862c06',1,'arm_compute']]],
+  ['to_5fzero',['TO_ZERO',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea5631ad8e27788edfca7e13535d862c06',1,'arm_compute::TO_ZERO()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a5631ad8e27788edfca7e13535d862c06',1,'arm_compute::utils::rounding::TO_ZERO()']]],
   ['toggleoption',['ToggleOption',['../classarm__compute_1_1utils_1_1_toggle_option.xhtml',1,'ToggleOption'],['../classarm__compute_1_1utils_1_1_toggle_option.xhtml#ae27b8b254e5e02265bd1032771aa303e',1,'arm_compute::utils::ToggleOption::ToggleOption()']]],
   ['toggleoption_2eh',['ToggleOption.h',['../_toggle_option_8h.xhtml',1,'']]],
   ['tolower',['tolower',['../namespacearm__compute_1_1utility.xhtml#abb96ad5c7071ec3a47ea5f07e817a636',1,'arm_compute::utility::tolower()'],['../namespacearm__compute_1_1test.xhtml#a5b67cbf475b1e1d3bec9b0b937fdafac',1,'arm_compute::test::tolower()']]],
   ['toolchainsupport_2eh',['ToolchainSupport.h',['../_toolchain_support_8h.xhtml',1,'']]],
   ['top',['top',['../structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3',1,'arm_compute::BorderSize']]],
+  ['top_5fk',['top_k',['../classarm__compute_1_1_detection_output_layer_info.xhtml#acf35ae15a9350f47bcba0d0cedeb3e7c',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['top_5fleft',['TOP_LEFT',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1',1,'arm_compute']]],
+  ['topkv_2ecpp',['TopKV.cpp',['../_top_k_v_8cpp.xhtml',1,'']]],
   ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml',1,'TopNPredictionsAccessor'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(const std::string &amp;labels_path, size_t top_n=5, std::ostream &amp;output_stream=std::cout)'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a6bb5b548e58f2efa9e1a0b05028748e5',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(TopNPredictionsAccessor &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a08ecfd9353ff51163e76e32aaeef2bc8',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(const TopNPredictionsAccessor &amp;)=delete']]],
   ['topologicalsort_2ecpp',['TopologicalSort.cpp',['../_topological_sort_8cpp.xhtml',1,'']]],
   ['topologicalsort_2eh',['TopologicalSort.h',['../_topological_sort_8h.xhtml',1,'']]],
-  ['total_5fsize',['total_size',['../classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66',1,'arm_compute::ITensorInfo::total_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::SubTensorInfo::total_size()'],['../classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::TensorInfo::total_size()'],['../classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb',1,'arm_compute::TensorShape::total_size()']]],
+  ['total_5fsize',['total_size',['../classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66',1,'arm_compute::ITensorInfo::total_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::SubTensorInfo::total_size()'],['../classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::TensorInfo::total_size()'],['../classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb',1,'arm_compute::TensorShape::total_size()'],['../classarm__gemm_1_1_n_d_range.xhtml#a2ee55bf0e2d8324a1360f6994a762e28',1,'arm_gemm::NDRange::total_size()']]],
   ['total_5fsize_5flower',['total_size_lower',['../classarm__compute_1_1_tensor_shape.xhtml#a9de66247a88337d636d536a8bf086571',1,'arm_compute::TensorShape']]],
   ['total_5fsize_5fupper',['total_size_upper',['../classarm__compute_1_1_tensor_shape.xhtml#a99e09337e5b6ef762cd1f2d0bd10c346',1,'arm_compute::TensorShape']]],
   ['tracking_5fstatus',['tracking_status',['../structarm__compute_1_1_c_l_l_k_internal_keypoint.xhtml#a08361efa212a9ab04a5965766ea942d5',1,'arm_compute::CLLKInternalKeypoint::tracking_status()'],['../structarm__compute_1_1_n_e_l_k_internal_keypoint.xhtml#a633fd1d1a22ab1b18aa0e091cb201553',1,'arm_compute::NELKInternalKeypoint::tracking_status()'],['../structarm__compute_1_1_key_point.xhtml#a8ca2aae59762685dd38143e5f8267147',1,'arm_compute::KeyPoint::tracking_status()'],['../struct_internal_keypoint.xhtml#a08361efa212a9ab04a5965766ea942d5',1,'InternalKeypoint::tracking_status()'],['../struct_keypoint.xhtml#a7edfed755585d6095522904dbe0ec4d8',1,'Keypoint::tracking_status()'],['../structarm__compute_1_1_internal_key_point.xhtml#a633fd1d1a22ab1b18aa0e091cb201553',1,'arm_compute::InternalKeyPoint::tracking_status()']]],
-  ['traits_2eh',['traits.h',['../traits_8h.xhtml',1,'']]],
+  ['traits_2eh',['traits.h',['../_n_e_o_n_2wrapper_2traits_8h.xhtml',1,'(Global Namespace)'],['../utils_2misc_2traits_8h.xhtml',1,'(Global Namespace)']]],
   ['transform',['Transform',['../struct_transform_impl.xhtml#a63b509dd384dfffc0d4f650115799f8b',1,'TransformImpl::Transform(TOut *out, const TIn *const in, const int stride, const int y0, const int ymax, const int x0, const int xmax)'],['../struct_transform_impl.xhtml#a1c7a0b8d7bd5f883e459db42f2165755',1,'TransformImpl::Transform(T *out, const T *const in, const int stride, const int k0, const int kmax, const int x0, const int xmax)'],['../struct_transpose_interleave_common.xhtml#a01a4063744a2a3facb06389427638d2a',1,'TransposeInterleaveCommon::Transform()'],['../transform_8hpp.xhtml#a26afdd476f20600b47f35560ccfe23a9',1,'Transform():&#160;transform.hpp']]],
   ['transform_2ehpp',['transform.hpp',['../transform_8hpp.xhtml',1,'']]],
   ['transform_5fbilinear',['transform_bilinear',['../scale_8cl.xhtml#a1990e87858b15b8fce3f63965fb9b86c',1,'scale.cl']]],
@@ -124,7 +132,7 @@
   ['transforminputkernel',['TransformInputKernel',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#afad7d48b2aacdab4c4d731e1aab98c6f',1,'arm_compute::NEWinogradLayerConfiguration']]],
   ['transformoutputkernel',['TransformOutputKernel',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#a3637009f3df69cdc77be902ee35b02a1',1,'arm_compute::NEWinogradLayerConfiguration']]],
   ['transformweightskernel',['TransformWeightsKernel',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#a45de1f3c30be8d2ee7424ca42677d5d9',1,'arm_compute::NEWinogradLayerConfiguration']]],
-  ['transpose',['transpose',['../transpose_8cl.xhtml#aa9021e9b8c37ea94257627da631248db',1,'transpose():&#160;transpose.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9a40691cf4bd2c9af93bc806358a24',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a269f65a55705b60a0e42d5d277ff9ee3',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint8_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0954b58b92e7a6eb0f0d5f9d62fd207a',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint16_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a438af3af37f59f35944cd276469bb0d5',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint32_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af5f82318aa0982e38535d512accf3177',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; half &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f3ed5e09dcdb43d381a70aba1700bd4',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; float &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c',1,'arm_compute::test::validation::transpose()']]],
+  ['transpose',['transpose',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::DepthwiseConvolutionReshapeInfo::transpose()'],['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::GEMMLHSMatrixInfo::transpose()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::GEMMRHSMatrixInfo::transpose()'],['../transpose_8cl.xhtml#aa9021e9b8c37ea94257627da631248db',1,'transpose():&#160;transpose.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9a40691cf4bd2c9af93bc806358a24',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a269f65a55705b60a0e42d5d277ff9ee3',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint8_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0954b58b92e7a6eb0f0d5f9d62fd207a',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint16_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a438af3af37f59f35944cd276469bb0d5',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint32_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af5f82318aa0982e38535d512accf3177',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; half &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f3ed5e09dcdb43d381a70aba1700bd4',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; float &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c',1,'arm_compute::test::validation::transpose()']]],
   ['transpose_2ecl',['transpose.cl',['../transpose_8cl.xhtml',1,'']]],
   ['transpose_2ecpp',['Transpose.cpp',['../benchmark_2_c_l_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_transpose_8cpp.xhtml',1,'(Global Namespace)']]],
   ['transpose_2eh',['Transpose.h',['../_transpose_8h.xhtml',1,'']]],
@@ -132,7 +140,7 @@
   ['transpose_5f4x4',['TRANSPOSE_4x4',['../transpose_8cl.xhtml#a093adbe8897f56bc8d0998f5cad57c8a',1,'transpose.cl']]],
   ['transpose_5f8x8',['TRANSPOSE_8x8',['../transpose_8cl.xhtml#ad037a4e8ddc84de9c0512a2d4ee693bf',1,'TRANSPOSE_8x8():&#160;transpose.cl'],['../_g_c_transpose_kernel_8cpp.xhtml#a2438fdfd446c570d9115fddd9d9fc37b',1,'TRANSPOSE_8X8():&#160;GCTransposeKernel.cpp']]],
   ['transpose_5finterleave_5fcommon_2ehpp',['transpose_interleave_common.hpp',['../transpose__interleave__common_8hpp.xhtml',1,'']]],
-  ['transpose_5fmatrix',['transpose_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3504d3f18cbbb19ff4b1121e84dc413c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203237186c311cd8da9b7d1db55ae233',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;out)']]],
+  ['transpose_5fmatrix',['transpose_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3504d3f18cbbb19ff4b1121e84dc413c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203237186c311cd8da9b7d1db55ae233',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0b43509ac50f9dc4ec5a8f1e5e1fde9',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; int &gt; &amp;in, SimpleTensor&lt; int &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68386c510af4857cad710ab1310ae204',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; short &gt; &amp;in, SimpleTensor&lt; short &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ca66d53da04b889dcc34e650784ab9c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; char &gt; &amp;in, SimpleTensor&lt; char &gt; &amp;out)']]],
   ['transpose_5fweights',['transpose_weights',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9',1,'arm_compute::FullyConnectedLayerInfo']]],
   ['transposeinterleavecommon',['TransposeInterleaveCommon',['../struct_transpose_interleave_common.xhtml',1,'']]],
   ['trunc',['trunc',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ae04d407202e3d50ce6a4c79ac00a5d59',1,'arm_compute::support::cpp11']]],
@@ -146,7 +154,7 @@
   ['tunerfactory',['TunerFactory',['../classarm__compute_1_1tuners_1_1_tuner_factory.xhtml',1,'arm_compute::tuners']]],
   ['tuners_2eh',['Tuners.h',['../_tuners_8h.xhtml',1,'']]],
   ['two_5fgb_5fin_5fkb',['TWO_GB_IN_KB',['../classarm__compute_1_1_m_e_m_info.xhtml#abd0ddfc9f23b25d70cdcf6e2e0d37782',1,'arm_compute::MEMInfo']]],
-  ['type',['type',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a9c9aae4b5f426f99087f48b40bc114fc',1,'arm_compute::test::framework::dataset::CartesianProductDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#a6fdded42fc2978d6f9f60564b5b4190a',1,'arm_compute::test::framework::dataset::ContainerDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::InitializerListDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#ad4f1d01a0af9cf719345464b2c3821ca',1,'arm_compute::test::framework::dataset::JoinDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::RangeDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::SingletonDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a9c9aae4b5f426f99087f48b40bc114fc',1,'arm_compute::test::framework::dataset::ZipDataset::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml#a3085ed9ad7c9b1c88dcec24108730e54',1,'arm_compute::test::traits::promote&lt; uint8_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int8__t_01_4.xhtml#a8812bf779dca54354aa6ad00cef14a73',1,'arm_compute::test::traits::promote&lt; int8_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml#a43022da9f622deba3284b748a6885e23',1,'arm_compute::test::traits::promote&lt; uint16_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int16__t_01_4.xhtml#a4f14ffc6d6f6ca92afb1baf996fc9305',1,'arm_compute::test::traits::promote&lt; int16_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml#a9659bbcc7fc016eda242219021c7980b',1,'arm_compute::test::traits::promote&lt; uint32_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int32__t_01_4.xhtml#a70ca3d636283d6713220cd8af5fc07b3',1,'arm_compute::test::traits::promote&lt; int32_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01float_01_4.xhtml#a05cacf975133703fccd67d8b60ed9ae0',1,'arm_compute::test::traits::promote&lt; float &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01half_01_4.xhtml#a871173f31fa2a65afb444d262bc1aadb',1,'arm_compute::test::traits::promote&lt; half &gt;::type()'],['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a6e019ad85979fd73c74f97e5483faf35',1,'arm_compute::GEMMLowpOutputStageInfo::type()'],['../classarm__compute_1_1_i_lut.xhtml#aa1917b40b57ce0a0f1c69722b46f3f46',1,'arm_compute::ILut::type()'],['../classarm__compute_1_1_normalization_layer_info.xhtml#abf43f970446f0b82889df52463b9c2b8',1,'arm_compute::NormalizationLayerInfo::type()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec',1,'arm_compute::graph::INode::type()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ActivationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BatchNormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BoundingBoxTransformLayerNode::type()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ChannelShuffleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConcatenateLayerNode::type()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConstNode::type()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DeconvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DummyNode::type()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::EltwiseLayerNode::type()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FlattenLayerNode::type()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FullyConnectedLayerNode::type()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::GenerateProposalsLayerNode::type()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::InputNode::type()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::type()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::OutputNode::type()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PadLayerNode::type()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PermuteLayerNode::type()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PoolingLayerNode::type()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PriorBoxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReorgLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReshapeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ResizeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ROIAlignLayerNode::type()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SliceLayerNode::type()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SoftmaxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SplitLayerNode::type()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::UpsampleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::YOLOLayerNode::type()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::CLLut::type()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#aa5369d30001dbd8880fb58d6af2b40a0',1,'arm_compute::ILutAllocator::type()'],['../classarm__compute_1_1_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::Lut::type()'],['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7',1,'arm_compute::Scheduler::Type()'],['../activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b',1,'TYPE():&#160;activation_layer.cl'],['../activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b',1,'TYPE():&#160;activation_layer_qa8.cl']]],
+  ['type',['type',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a9c9aae4b5f426f99087f48b40bc114fc',1,'arm_compute::test::framework::dataset::CartesianProductDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#a6fdded42fc2978d6f9f60564b5b4190a',1,'arm_compute::test::framework::dataset::ContainerDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::InitializerListDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#ad4f1d01a0af9cf719345464b2c3821ca',1,'arm_compute::test::framework::dataset::JoinDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::RangeDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a18b86dafc894ede9c2b71030a731a106',1,'arm_compute::test::framework::dataset::SingletonDataset::type()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a9c9aae4b5f426f99087f48b40bc114fc',1,'arm_compute::test::framework::dataset::ZipDataset::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml#a3085ed9ad7c9b1c88dcec24108730e54',1,'arm_compute::test::traits::promote&lt; uint8_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int8__t_01_4.xhtml#a8812bf779dca54354aa6ad00cef14a73',1,'arm_compute::test::traits::promote&lt; int8_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml#a43022da9f622deba3284b748a6885e23',1,'arm_compute::test::traits::promote&lt; uint16_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int16__t_01_4.xhtml#a4f14ffc6d6f6ca92afb1baf996fc9305',1,'arm_compute::test::traits::promote&lt; int16_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml#a9659bbcc7fc016eda242219021c7980b',1,'arm_compute::test::traits::promote&lt; uint32_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int32__t_01_4.xhtml#a70ca3d636283d6713220cd8af5fc07b3',1,'arm_compute::test::traits::promote&lt; int32_t &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01float_01_4.xhtml#a05cacf975133703fccd67d8b60ed9ae0',1,'arm_compute::test::traits::promote&lt; float &gt;::type()'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01half_01_4.xhtml#a871173f31fa2a65afb444d262bc1aadb',1,'arm_compute::test::traits::promote&lt; half &gt;::type()'],['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a6e019ad85979fd73c74f97e5483faf35',1,'arm_compute::GEMMLowpOutputStageInfo::type()'],['../classarm__compute_1_1_i_lut.xhtml#aa1917b40b57ce0a0f1c69722b46f3f46',1,'arm_compute::ILut::type()'],['../classarm__compute_1_1_normalization_layer_info.xhtml#abf43f970446f0b82889df52463b9c2b8',1,'arm_compute::NormalizationLayerInfo::type()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec',1,'arm_compute::graph::INode::type()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ActivationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BatchNormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BoundingBoxTransformLayerNode::type()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ChannelShuffleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConcatenateLayerNode::type()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConstNode::type()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DeconvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DetectionOutputLayerNode::type()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DummyNode::type()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::EltwiseLayerNode::type()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FlattenLayerNode::type()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FullyConnectedLayerNode::type()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::GenerateProposalsLayerNode::type()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::InputNode::type()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::type()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::OutputNode::type()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PadLayerNode::type()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PermuteLayerNode::type()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PoolingLayerNode::type()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PriorBoxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReorgLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReshapeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ResizeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ROIAlignLayerNode::type()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SliceLayerNode::type()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SoftmaxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SplitLayerNode::type()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::UpsampleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::YOLOLayerNode::type()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::CLLut::type()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#aa5369d30001dbd8880fb58d6af2b40a0',1,'arm_compute::ILutAllocator::type()'],['../classarm__compute_1_1_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::Lut::type()'],['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7',1,'arm_compute::Scheduler::Type()'],['../activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b',1,'TYPE():&#160;activation_layer.cl'],['../activation__layer__qa8_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b',1,'TYPE():&#160;activation_layer_qa8.cl']]],
   ['type_5fmax',['type_max',['../minmaxloc_8cl.xhtml#a4464d6f922ea17b4a9ca6a2cec7ddb75',1,'minmaxloc.cl']]],
   ['type_5fmin',['type_min',['../minmaxloc_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec',1,'type_min():&#160;minmaxloc.cl'],['../softmax__layer_8cl.xhtml#a538b4b63f40e7b12891774e03a4f0dec',1,'type_min():&#160;softmax_layer.cl']]],
   ['type_5fmin_5f',['type_min_',['../softmax__layer_8cl.xhtml#af7a08044d0e491a0ee1520a24a107a2b',1,'softmax_layer.cl']]],
diff --git a/documentation/search/all_16.html b/documentation/search/all_16.html
index e511edb..1490057 100644
--- a/documentation/search/all_16.html
+++ b/documentation/search/all_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_16.js b/documentation/search/all_16.js
index 4b6fc28..e9506fe 100644
--- a/documentation/search/all_16.js
+++ b/documentation/search/all_16.js
@@ -1,6 +1,6 @@
 var searchData=
 [
-  ['u',['U',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb',1,'arm_compute']]],
+  ['u',['U',['../namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e',1,'arm_compute::utils::cast::U()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb',1,'arm_compute::U()']]],
   ['u16',['u16',['../classarm__compute_1_1_pixel_value.xhtml#a1234f83efa812e259523c91799614a3c',1,'arm_compute::PixelValue::u16()'],['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2',1,'arm_compute::U16()'],['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aef9ef3ebca4d2b64b6ec83808bafa5f2',1,'arm_compute::U16()']]],
   ['u32',['u32',['../classarm__compute_1_1_pixel_value.xhtml#ae65af0c4a8ee050043fe4b575f0a26a0',1,'arm_compute::PixelValue::u32()'],['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee',1,'arm_compute::U32()'],['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6ac8bd5bedff8ef192d39a962afc0e19ee',1,'arm_compute::U32()']]],
   ['u64',['u64',['../classarm__compute_1_1_pixel_value.xhtml#a91ee3b6e2425e78feef03fb5c69d63e5',1,'arm_compute::PixelValue::u64()'],['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa',1,'arm_compute::U64()']]],
@@ -19,6 +19,9 @@
   ['unreachable',['UNREACHABLE',['../utils_8hpp.xhtml#aa468b37bb9d2901433139d01b79036b0',1,'utils.hpp']]],
   ['unsigned',['UNSIGNED',['../namespacearm__compute.xhtml#af00a42ecad444bbda75cde1b64bd7e72aaf36b47f395cd01f48b8fc1013665054',1,'arm_compute']]],
   ['unspecified',['UNSPECIFIED',['../namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da1c04cc3823d476c3017238679a0fdf52',1,'arm_compute::graph']]],
+  ['unstack',['unstack',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abe272472696bc4aa07058beae42c2706',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; T &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6875441960841feccd15a265409b6d7f',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; float &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad1aa5278545903400c542ac3e2a8b497',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; half &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab3cc70aa61afb1c147878c2c9e7646ed',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; uint8_t &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;output_tensors, int axis)']]],
+  ['unstack_2ecpp',['Unstack.cpp',['../_c_l_2_unstack_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_unstack_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_unstack_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['unstack_2eh',['Unstack.h',['../_unstack_8h.xhtml',1,'']]],
   ['unsupported_5fextension_5fuse',['UNSUPPORTED_EXTENSION_USE',['../namespacearm__compute.xhtml#a59e56af19e754a6aa26a612ebf91d05fa0ffe8be9137815d1266845a195c053c7',1,'arm_compute']]],
   ['unuse',['unuse',['../classarm__compute_1_1_g_c_kernel.xhtml#ae02bc07b18ddc44c29318c100a063d3a',1,'arm_compute::GCKernel']]],
   ['update_5fbound_5ftensor',['update_bound_tensor',['../classarm__compute_1_1graph_1_1_edge.xhtml#aa4dfdb91786eda8e0c3b532809a2c5d9',1,'arm_compute::graph::Edge']]],
diff --git a/documentation/search/all_17.html b/documentation/search/all_17.html
index 5ca9efd..a364f6f 100644
--- a/documentation/search/all_17.html
+++ b/documentation/search/all_17.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_17.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_17.js b/documentation/search/all_17.js
index 2aa59f2..2eedc1e 100644
--- a/documentation/search/all_17.js
+++ b/documentation/search/all_17.js
@@ -2,11 +2,15 @@
 [
   ['validation_20and_20benchmarks_20tests',['Validation and benchmarks tests',['../tests.xhtml',1,'']]],
   ['v',['v',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aa1bee75ce77e93989e011aae01955b03',1,'arm_compute::test::framework::Measurement::Value::v()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa5206560a306a2e085a437fd258eb57ce',1,'arm_compute::V()']]],
+  ['v0',['v0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#acfef62abd2f827bf05666ba50a705c0d',1,'arm_compute::GEMMLHSMatrixInfo']]],
+  ['v0_5fvalue',['v0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a47314753b59095eaf4cab9c8cb9f7533',1,'arm_compute::test::validation']]],
+  ['vabs',['vabs',['../namespacearm__compute_1_1wrapper.xhtml#a4c1fe3150ad2ca29262dc6403605e65c',1,'arm_compute::wrapper::vabs(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a484e302d4944d7edcb7b206690251474',1,'arm_compute::wrapper::vabs(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a27386b9187cc0bba9c21769c0731a72a',1,'arm_compute::wrapper::vabs(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#af39453b73d1958aa8a0ea58ca86efaff',1,'arm_compute::wrapper::vabs(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ad8275425767f39b246862f11cef3328d',1,'arm_compute::wrapper::vabs(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a054ba55607f82d2bcee3a9bc5d3a7251',1,'arm_compute::wrapper::vabs(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa400d422f18b0210e84a04c03cb4ffa',1,'arm_compute::wrapper::vabs(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab935e0aae10321cfed3ff126ec52aa86',1,'arm_compute::wrapper::vabs(const float32x4_t &amp;a)']]],
+  ['vabs_5fimpl',['VABS_IMPL',['../abs_8h.xhtml#aee753fc71bfe4c982c42fd384738fa81',1,'abs.h']]],
   ['vadd',['vadd',['../namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73',1,'arm_compute::wrapper::vadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7c573cf41e883d4d37bd8dff8fcbd0f2',1,'arm_compute::wrapper::vadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a73d9b74710e651e7cdbf4cfafb944d8a',1,'arm_compute::wrapper::vadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a51ed0d744f6dca340bc175241a2653d4',1,'arm_compute::wrapper::vadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1de26ff774cac4d14a9a99760139a379',1,'arm_compute::wrapper::vadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adbc3286703ea68773578b2601a3fd797',1,'arm_compute::wrapper::vadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a44649f1c855e68e4cab5f7f72daeb30b',1,'arm_compute::wrapper::vadd(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa295c4e77f9e2ccd31f0fa815a9e4231',1,'arm_compute::wrapper::vadd(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a04549b1ddb03008ac1c0ff3fc18ff335',1,'arm_compute::wrapper::vadd(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a08ed369986c867b850a74635764e3764',1,'arm_compute::wrapper::vadd(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a00611d18ac6548c52d5f3e5eec52f3fc',1,'arm_compute::wrapper::vadd(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a001774f1457ef953dce3cbfd7ca3a720',1,'arm_compute::wrapper::vadd(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7b3548ff67e64b1b559f005728643115',1,'arm_compute::wrapper::vadd(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a38f13009919fa0bb1bf096aca2fc2b52',1,'arm_compute::wrapper::vadd(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae6e61403aa3b1ea42cb8623235a060d2',1,'arm_compute::wrapper::vadd(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4be8554b097bb191efca07c064500b0a',1,'arm_compute::wrapper::vadd(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a85bff4b042de6d354194fd5faec611b2',1,'arm_compute::wrapper::vadd(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5facaa0c056dc73dfa6a49cde91240c4',1,'arm_compute::wrapper::vadd(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#abe949a509da417044624d62a73057441',1,'arm_compute::vadd(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)'],['../namespacearm__compute.xhtml#ab11431f1a64a618e5ed1d37634d0e0fe',1,'arm_compute::vadd(vec_16_byte_t&lt; float &gt; a, vec_16_byte_t&lt; float &gt; b)'],['../namespacearm__compute.xhtml#a4cc9ed76f48e918e73249c894380f91b',1,'arm_compute::vadd(float32x4x4_t a, float32x4x4_t b)']]],
-  ['vadd_5fimpl',['VADD_IMPL',['../add_8h.xhtml#a1954a7b37233eea4d3bcc3f262cb5346',1,'add.h']]],
+  ['vadd_5fimpl',['VADD_IMPL',['../intrinsics_2add_8h.xhtml#a1954a7b37233eea4d3bcc3f262cb5346',1,'add.h']]],
   ['valid_5fbilinear_5fpolicy',['valid_bilinear_policy',['../namespacearm__compute_1_1test_1_1validation.xhtml#a997c20c740c2cf8dd5676ad55ad8a1a6',1,'arm_compute::test::validation::valid_bilinear_policy()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3064cbee60ab97935e8d1df617f82b5c',1,'arm_compute::test::validation::reference::valid_bilinear_policy()']]],
   ['valid_5fregion',['valid_region',['../classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95',1,'arm_compute::ITensorInfo::valid_region()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a3c20d908342087484d883574d55dd482',1,'arm_compute::SubTensorInfo::valid_region()'],['../classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482',1,'arm_compute::TensorInfo::valid_region()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422',1,'arm_compute::test::validation::valid_region()']]],
-  ['validate',['validate',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivisionKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#aedb200ab7a0869c2a2db89f07b53367c',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransformKernel::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1877ad9505323d75f1a301f30a528ab4',1,'arm_compute::CLCol2ImKernel::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#ace5d816c012fffa933058b4e6c63253d',1,'arm_compute::CLCopyKernel::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::CLDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a21d42fbf490065b8a9ceabebfe77743e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a74a47c8814412a6ab9f7e9ee8f17a684',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a19daa09ccd2ecab4356930ab6233027d',1,'arm_compute::CLDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::CLDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#abf6d9f2ce0ee2f7ce645b79260dba556',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1e6b576c45f94ebf95097f045ba55002',1,'arm_compute::CLDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayerKernel::validate()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloorKernel::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a6d76f57d68ffa1090f72225547df15b6',1,'arm_compute::CLGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a82516a7054fc79efa2230cdae0499a85',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a3527d5d31a2975b03224fa4cc136b88a',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a46e5929d20bb4cc0678590dfa251df9e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a21f628daa45675076fd25e46a052a53a',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aacce47387e80c160a47584829ab0edb1',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::CLGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#abf9493f85567544138e72322f5565c8f',1,'arm_compute::CLGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#ad24cc142f898e2a16a23b290215065d0',1,'arm_compute::CLGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchorsKernel::validate()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::CLIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#aa9312e3ad11325dcff76ed212a23b4e7',1,'arm_compute::CLL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1',1,'arm_compute::CLMeanStdDevKernel::validate()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#ae6cba14af0dac686631cafe793aca5c5',1,'arm_compute::CLMemsetKernel::validate()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ad83238a0d9baa0e1ca81455a0f4adc9f',1,'arm_compute::CLNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermuteKernel::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayerKernel::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a70f3563d88b1fc582c263f5be7ae2bb2',1,'arm_compute::CLReductionOperationKernel::validate()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayerKernel::validate()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a79c9682f92afadbf8836aefd8c4d728c',1,'arm_compute::CLScaleKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06',1,'arm_compute::CLLogits1DMaxKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381',1,'arm_compute::CLLogits1DShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330',1,'arm_compute::CLLogits1DNormKernel::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::CLStridedSliceKernel::validate()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTransposeKernel::validate()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a90066609e6f00aad9d9a2a8951aef7aa',1,'arm_compute::CLWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLWidthConcatenate2TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a7a7d53bfb54f24863fcab9a046753c86',1,'arm_compute::CLWidthConcatenate4TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::CLWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradFilterTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::CLWinogradOutputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayerKernel::validate()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermuteKernel::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::GCBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6902b8a897391fd3c0f186bef31f4d20',1,'arm_compute::GCGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a18792660d79fe30c94c1a28387265082',1,'arm_compute::GCIm2ColKernel::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2ImKernel::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopyKernel::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::NEDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5399e29a7181f3d0a30ea60fb2a3bc',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ae343a06f1e1e92d8a5573c695fba847b',1,'arm_compute::NEDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::NEDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a0c1e64e3caf1227a2eabae8aeb86d381',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a38da9c4ac16c0ca78e5d7176aab3435e',1,'arm_compute::NEDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayerKernel::validate()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloorKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a18a1134c4a0899ab68380c56ca33500b',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a283024f5b1ee165da06d949700520a38',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a1e76328ce0c8fa275d2bbe0653ddeaad',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a67759131249ecc51533fe269d0d90c51',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::NEGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ac91476ef04db46dad52f3cd1e2fae18e',1,'arm_compute::NEGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a95b11d7f930f7e1fd9924cd300457098',1,'arm_compute::NEL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0b5277c961e4801d77268146b43e45c1',1,'arm_compute::NENormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermuteKernel::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a06da727509836873ac00b466564d08ea',1,'arm_compute::NEScaleKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NELogits1DMaxKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ae9a64d99f08581b961e1ac5a5fc46af8',1,'arm_compute::NELogits1DSoftmaxKernel::validate()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETransposeKernel::validate()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a614bc53946fb31b6b27614429446a6a7',1,'arm_compute::NEUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#aaa0ba7f013b026d5f823d3193371be59',1,'arm_compute::NEWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::NEWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformInputKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::NEWinogradLayerTransformOutputKernel::validate()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayerKernel::validate()'],['../classarm__compute_1_1_window.xhtml#ab3a68a01a1c7c22bfbd9f3f6d20e7d5a',1,'arm_compute::Window::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::CLNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::GCNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::NENodeValidator::validate()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15',1,'arm_compute::graph::INode::validate()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a600f574bc2868a148f9a746d16774dbd',1,'arm_compute::graph::SplitLayerNode::validate()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayer::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAddition::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivision::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtraction::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#abbc5937e916ca9f16645d404fc137761',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, int32_t block_shape_x, int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransform::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayer::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchors::validate()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#aca9a72ce2e58da3f994ac9c44130ac2e',1,'arm_compute::CLConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::CLConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLCopy::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a8002b55f78334c953460d659ecf46f34',1,'arm_compute::CLDeconvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsample::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::CLDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayer::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a40ed745a4f2c9b4aeb7300a28cf0d229',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::CLDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayer::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd',1,'arm_compute::CLDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayer::validate()'],['../classarm__compute_1_1_c_l_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloor::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::CLFullyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalization::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::CLGEMM::validate()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a25364a94d15ee892bf2db2a37fa67be6',1,'arm_compute::CLConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::CLGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::validate()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd',1,'arm_compute::CLGenerateProposalsLayer::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::CLL2NormalizeLayer::validate()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::CLLocallyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::CLLSTMLayer::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36',1,'arm_compute::CLMeanStdDev::validate()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::CLNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a4b6fa54ed45930017967fc9bc4c99aa3',1,'arm_compute::CLPadLayer::validate()'],['../classarm__compute_1_1_c_l_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermute::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayer::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayer::validate()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLQuantizationLayer::validate()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::CLReduceMean::validate()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::CLReductionOperation::validate()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayer::validate()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayer::validate()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::CLRNNLayer::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayer::validate()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::CLScale::validate()'],['../classarm__compute_1_1_c_l_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::CLSlice::validate()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::CLSoftmaxLayer::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a1e450094356427ed60b8f574488c5ffa',1,'arm_compute::CLSplit::validate()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::CLStridedSlice::validate()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTranspose::validate()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayer::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::CLWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::CLWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransform::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayer::validate()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermute::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAddition::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a79dcdcd8851f3c170ff581e993364fbd',1,'arm_compute::GCGEMM::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayer::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAddition::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtraction::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayer::validate()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2Im::validate()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#aca9a72ce2e58da3f994ac9c44130ac2e',1,'arm_compute::NEConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::NEConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopy::validate()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ab8203eefc06b62be5610b841c861d6d7',1,'arm_compute::NEDeconvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::NEDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayer::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayer::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#aaa714636095e79d5e53567a924f3d9ae',1,'arm_compute::NEDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayer::validate()'],['../classarm__compute_1_1_n_e_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloor::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::NEFullyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::NEGEMM::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a80206e1dccb80426b563e3e8466bfd87',1,'arm_compute::NEGEMMAssemblyDispatch::validate()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a224bc0dd323828beab8c7edeeb539cb3',1,'arm_compute::NEConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::NEGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xW::validate()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2Col::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::NEL2NormalizeLayer::validate()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::NELocallyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::NELSTMLayer::validate()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::NENormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermute::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayer::validate()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEQuantizationLayer::validate()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::NEReduceMean::validate()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperation::validate()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayer::validate()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayer::validate()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::NERNNLayer::validate()'],['../classarm__compute_1_1_n_e_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::NEScale::validate()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::NESoftmaxLayer::validate()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETranspose::validate()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a976d7e038d2dc22457c006f6d7e08839',1,'arm_compute::NEUpsampleLayer::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::NEWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::NEWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayer::validate()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#ab8b6b10969f8435d21a0fa6e46362d59',1,'arm_compute::test::CLSynthetizeFunction::validate()'],['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a3566e1a9ec7fedc6e4fc47fab7c18532',1,'arm_compute::utils::CommandLineParser::validate()'],['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp'],['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd3a8f060f8fcf2ab4ec7d9d14c1f30',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed61c5c2a9205b62faca59381ac185b1',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a091613692766d1e34ad31fe0f403a01b',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), dst_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14d61c73a88e02b1911b967640f8b383',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), src_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06c8638559b9de713abe0badcb413259',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), dst_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e4b6b68aa02e54d0cfa7925aacfeba0',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), width_padding, height_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f',1,'arm_compute::test::validation::validate(const arm_compute::ValidRegion &amp;region, const arm_compute::ValidRegion &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a988c4a67dfa987caea90f71a4ad3a8b5',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;width_reference, const arm_compute::PaddingSize &amp;height_reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const void *reference_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, BorderSize border_size, const BorderMode &amp;border_mode, const void *border_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334',1,'arm_compute::test::validation::validate(std::vector&lt; unsigned int &gt; classified_labels, std::vector&lt; unsigned int &gt; expected_labels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa24df7339d073ba83dae2de61cc80416',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a7133ce9111c2d17597730ae3629b87',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const ValidRegion &amp;valid_region, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98de28726e7f2151e37de88468d7c8ae',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const SimpleTensor&lt; T &gt; &amp;valid_mask, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c19347e16069660a1a3ae62e1d607ee',1,'arm_compute::test::validation::validate(T target, T reference, U tolerance=AbsoluteTolerance&lt; T &gt;())']]],
+  ['validate',['validate',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#aedb200ab7a0869c2a2db89f07b53367c',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransformKernel::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1877ad9505323d75f1a301f30a528ab4',1,'arm_compute::CLCol2ImKernel::validate()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a9bd6bc01790e6124a778725430e764c9',1,'arm_compute::CLComparisonKernel::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#ace5d816c012fffa933058b4e6c63253d',1,'arm_compute::CLCopyKernel::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::CLDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a21d42fbf490065b8a9ceabebfe77743e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a74a47c8814412a6ab9f7e9ee8f17a684',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#abf6d9f2ce0ee2f7ce645b79260dba556',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a7d1b77dcce9f67e5748d24583b78469a',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a19daa09ccd2ecab4356930ab6233027d',1,'arm_compute::CLDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::CLDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1e6b576c45f94ebf95097f045ba55002',1,'arm_compute::CLDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad8de41bdd36af838b251be792a8d871f',1,'arm_compute::CLSaturatedArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616',1,'arm_compute::CLArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#ac5c69bb62e6c72a8513b5be3478e9583',1,'arm_compute::CLElementWiseUnaryLayerKernel::validate()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayerKernel::validate()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloorKernel::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a098bc5a2e3b4806b492e7128f7a766d7',1,'arm_compute::CLGatherKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a6d76f57d68ffa1090f72225547df15b6',1,'arm_compute::CLGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a82516a7054fc79efa2230cdae0499a85',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a96f40eda5c40e254a6729e8bc0cb8195',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a3527d5d31a2975b03224fa4cc136b88a',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a46e5929d20bb4cc0678590dfa251df9e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a21f628daa45675076fd25e46a052a53a',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aacce47387e80c160a47584829ab0edb1',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::CLGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a9798dff298d3588874b6aed0f41743a9',1,'arm_compute::CLGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ab3c446588dcc84f4cf6e9df878f5bc1e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a5c71f56a17ffbf89b745cd41e9db66f1',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aca0da52b749b54d37ff996f4b28f6762',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#ad24cc142f898e2a16a23b290215065d0',1,'arm_compute::CLGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchorsKernel::validate()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::CLIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#aa9312e3ad11325dcff76ed212a23b4e7',1,'arm_compute::CLL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1',1,'arm_compute::CLMeanStdDevKernel::validate()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#ae6cba14af0dac686631cafe793aca5c5',1,'arm_compute::CLMemsetKernel::validate()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ad83238a0d9baa0e1ca81455a0f4adc9f',1,'arm_compute::CLNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermuteKernel::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayerKernel::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a537003f865d7f57bc977fa9c56ffcc9d',1,'arm_compute::CLRangeKernel::validate()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a70f3563d88b1fc582c263f5be7ae2bb2',1,'arm_compute::CLReductionOperationKernel::validate()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::CLReverseKernel::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayerKernel::validate()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a79c9682f92afadbf8836aefd8c4d728c',1,'arm_compute::CLScaleKernel::validate()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::CLSelectKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06',1,'arm_compute::CLLogits1DMaxKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381',1,'arm_compute::CLLogits1DShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330',1,'arm_compute::CLLogits1DNormKernel::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a88bcde84c83290cd3290e562a8dd4905',1,'arm_compute::CLStackLayerKernel::validate()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::CLStridedSliceKernel::validate()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::CLTileKernel::validate()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTransposeKernel::validate()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a90066609e6f00aad9d9a2a8951aef7aa',1,'arm_compute::CLWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLWidthConcatenate2TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a7a7d53bfb54f24863fcab9a046753c86',1,'arm_compute::CLWidthConcatenate4TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::CLWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradFilterTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a046b6ea49a42b3303fca3785ec0ce04a',1,'arm_compute::CLWinogradOutputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayerKernel::validate()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermuteKernel::validate()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a78f9128e5b414dc15c66d2d21d55117c',1,'arm_compute::CPPTopKVKernel::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::GCBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6902b8a897391fd3c0f186bef31f4d20',1,'arm_compute::GCGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a18792660d79fe30c94c1a28387265082',1,'arm_compute::GCIm2ColKernel::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2ImKernel::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopyKernel::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::NEDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5399e29a7181f3d0a30ea60fb2a3bc',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ae343a06f1e1e92d8a5573c695fba847b',1,'arm_compute::NEDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::NEDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a0c1e64e3caf1227a2eabae8aeb86d381',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a38da9c4ac16c0ca78e5d7176aab3435e',1,'arm_compute::NEDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616',1,'arm_compute::NEArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEDivisionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#aa4dc6e8191da7608f894b446ee19b6b3',1,'arm_compute::NEComparisonOperationKernel::validate()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ac34f3ebc3a9e9f2bb454ed11ee1e1f42',1,'arm_compute::NEElementwiseUnaryKernel::validate()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayerKernel::validate()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloorKernel::validate()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::NEFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#aa6fcee03478372f96bc71e6227a36d21',1,'arm_compute::NEGatherKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a18a1134c4a0899ab68380c56ca33500b',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a283024f5b1ee165da06d949700520a38',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a1e76328ce0c8fa275d2bbe0653ddeaad',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a67759131249ecc51533fe269d0d90c51',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::NEGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ac91476ef04db46dad52f3cd1e2fae18e',1,'arm_compute::NEGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a95b11d7f930f7e1fd9924cd300457098',1,'arm_compute::NEL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0b5277c961e4801d77268146b43e45c1',1,'arm_compute::NENormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermuteKernel::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a537003f865d7f57bc977fa9c56ffcc9d',1,'arm_compute::NERangeKernel::validate()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::NEReverseKernel::validate()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a06da727509836873ac00b466564d08ea',1,'arm_compute::NEScaleKernel::validate()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::NESelectKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NELogits1DMaxKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ae9a64d99f08581b961e1ac5a5fc46af8',1,'arm_compute::NELogits1DSoftmaxKernel::validate()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a88bcde84c83290cd3290e562a8dd4905',1,'arm_compute::NEStackLayerKernel::validate()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::NEStridedSliceKernel::validate()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::NETileKernel::validate()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETransposeKernel::validate()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a614bc53946fb31b6b27614429446a6a7',1,'arm_compute::NEUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#aaa0ba7f013b026d5f823d3193371be59',1,'arm_compute::NEWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::NEWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformInputKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::NEWinogradLayerTransformOutputKernel::validate()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayerKernel::validate()'],['../classarm__compute_1_1_window.xhtml#ab3a68a01a1c7c22bfbd9f3f6d20e7d5a',1,'arm_compute::Window::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::CLNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::GCNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::NENodeValidator::validate()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15',1,'arm_compute::graph::INode::validate()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a600f574bc2868a148f9a746d16774dbd',1,'arm_compute::graph::SplitLayerNode::validate()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayer::validate()'],['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#a8ca6af696d79377d724e7fce26a9f7e9',1,'arm_compute::CLArgMinMaxLayer::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#abbc5937e916ca9f16645d404fc137761',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, int32_t block_shape_x, int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransform::validate()'],['../classarm__compute_1_1_c_l_cast.xhtml#afb488c1da81a6bdfad4a116d2a189fbb',1,'arm_compute::CLCast::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayer::validate()'],['../classarm__compute_1_1_c_l_comparison.xhtml#a9bd6bc01790e6124a778725430e764c9',1,'arm_compute::CLComparison::validate()'],['../classarm__compute_1_1_c_l_comparison_static.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLComparisonStatic::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchors::validate()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ac5e35e6a164d536e28bc188a6c2e28a3',1,'arm_compute::CLConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::CLConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLCopy::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a8002b55f78334c953460d659ecf46f34',1,'arm_compute::CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0907e57bf4023f3a3ecf6d2a88902c2f',1,'arm_compute::CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &amp;info, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsample::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::CLDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayer::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a40ed745a4f2c9b4aeb7300a28cf0d229',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::CLDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayer::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd',1,'arm_compute::CLDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAddition::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtraction::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivision::validate()'],['../classarm__compute_1_1_c_l_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseMax::validate()'],['../classarm__compute_1_1_c_l_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseMin::validate()'],['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseSquaredDiff::validate()'],['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLRsqrtLayer::validate()'],['../classarm__compute_1_1_c_l_exp_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLExpLayer::validate()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayer::validate()'],['../classarm__compute_1_1_c_l_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloor::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::CLFullyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalization::validate()'],['../classarm__compute_1_1_c_l_gather.xhtml#a098bc5a2e3b4806b492e7128f7a766d7',1,'arm_compute::CLGather::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::CLGEMM::validate()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a25364a94d15ee892bf2db2a37fa67be6',1,'arm_compute::CLConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::CLGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::validate()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd',1,'arm_compute::CLGenerateProposalsLayer::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::CLL2NormalizeLayer::validate()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::CLLocallyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::CLLSTMLayer::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36',1,'arm_compute::CLMeanStdDev::validate()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::CLNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a9673ad5cef1122670c6afc851e399b2f',1,'arm_compute::CLPadLayer::validate()'],['../classarm__compute_1_1_c_l_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermute::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayer::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayer::validate()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLQuantizationLayer::validate()'],['../classarm__compute_1_1_c_l_range.xhtml#ad56e8c46ec7817686c2612c58b14934b',1,'arm_compute::CLRange::validate()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::CLReduceMean::validate()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::CLReductionOperation::validate()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayer::validate()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayer::validate()'],['../classarm__compute_1_1_c_l_reverse.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::CLReverse::validate()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::CLRNNLayer::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayer::validate()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::CLScale::validate()'],['../classarm__compute_1_1_c_l_select.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::CLSelect::validate()'],['../classarm__compute_1_1_c_l_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::CLSlice::validate()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::CLSoftmaxLayer::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a8b59056f103952a49529ce4b10181aaa',1,'arm_compute::CLSplit::validate()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#abfa2d51d1ba66ef4836d509043f7c58c',1,'arm_compute::CLStackLayer::validate()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::CLStridedSlice::validate()'],['../classarm__compute_1_1_c_l_tile.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::CLTile::validate()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTranspose::validate()'],['../classarm__compute_1_1_c_l_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d',1,'arm_compute::CLUnstack::validate()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayer::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::CLWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::CLWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransform::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayer::validate()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ac36104d178e32cb6e30af07e69d978d4',1,'arm_compute::CPPNonMaximumSuppression::validate()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#af1d5e758d546e837b9cabb5991d387e0',1,'arm_compute::CPPDetectionOutputLayer::validate()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermute::validate()'],['../classarm__compute_1_1_c_p_p_top_k_v.xhtml#a78f9128e5b414dc15c66d2d21d55117c',1,'arm_compute::CPPTopKV::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAddition::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a79dcdcd8851f3c170ff581e993364fbd',1,'arm_compute::GCGEMM::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayer::validate()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#a8ca6af696d79377d724e7fce26a9f7e9',1,'arm_compute::NEArgMinMaxLayer::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAddition::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtraction::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayer::validate()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2Im::validate()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ac5e35e6a164d536e28bc188a6c2e28a3',1,'arm_compute::NEConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::NEConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopy::validate()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ab8203eefc06b62be5610b841c861d6d7',1,'arm_compute::NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top)'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ace66db1c44289ba6204f000f24e42c69',1,'arm_compute::NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &amp;info)'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::NEDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayer::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayer::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#aaa714636095e79d5e53567a924f3d9ae',1,'arm_compute::NEDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseMax::validate()'],['../classarm__compute_1_1_n_e_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseMin::validate()'],['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseSquaredDiff::validate()'],['../classarm__compute_1_1_n_e_elementwise_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseDivision::validate()'],['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml#a3c6c21badfd0002fd036410be5b1dcb1',1,'arm_compute::NEElementwiseComparison::validate()'],['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseComparisonStatic::validate()'],['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NERsqrtLayer::validate()'],['../classarm__compute_1_1_n_e_exp_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEExpLayer::validate()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayer::validate()'],['../classarm__compute_1_1_n_e_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloor::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::NEFullyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::NEFuseBatchNormalization::validate()'],['../classarm__compute_1_1_n_e_gather.xhtml#aa6fcee03478372f96bc71e6227a36d21',1,'arm_compute::NEGather::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::NEGEMM::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a80206e1dccb80426b563e3e8466bfd87',1,'arm_compute::NEGEMMAssemblyDispatch::validate()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a224bc0dd323828beab8c7edeeb539cb3',1,'arm_compute::NEConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::NEGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xW::validate()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2Col::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::NEL2NormalizeLayer::validate()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::NELocallyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::NELSTMLayer::validate()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::NENormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#a9673ad5cef1122670c6afc851e399b2f',1,'arm_compute::NEPadLayer::validate()'],['../classarm__compute_1_1_n_e_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermute::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayer::validate()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEQuantizationLayer::validate()'],['../classarm__compute_1_1_n_e_range.xhtml#ad56e8c46ec7817686c2612c58b14934b',1,'arm_compute::NERange::validate()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::NEReduceMean::validate()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperation::validate()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayer::validate()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayer::validate()'],['../classarm__compute_1_1_n_e_reverse.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::NEReverse::validate()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::NERNNLayer::validate()'],['../classarm__compute_1_1_n_e_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::NEScale::validate()'],['../classarm__compute_1_1_n_e_select.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::NESelect::validate()'],['../classarm__compute_1_1_n_e_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::NESlice::validate()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::NESoftmaxLayer::validate()'],['../classarm__compute_1_1_n_e_split.xhtml#a8b59056f103952a49529ce4b10181aaa',1,'arm_compute::NESplit::validate()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#abfa2d51d1ba66ef4836d509043f7c58c',1,'arm_compute::NEStackLayer::validate()'],['../classarm__compute_1_1_n_e_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::NEStridedSlice::validate()'],['../classarm__compute_1_1_n_e_tile.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::NETile::validate()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETranspose::validate()'],['../classarm__compute_1_1_n_e_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d',1,'arm_compute::NEUnstack::validate()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a976d7e038d2dc22457c006f6d7e08839',1,'arm_compute::NEUpsampleLayer::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::NEWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::NEWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayer::validate()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#ab8b6b10969f8435d21a0fa6e46362d59',1,'arm_compute::test::CLSynthetizeFunction::validate()'],['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a3566e1a9ec7fedc6e4fc47fab7c18532',1,'arm_compute::utils::CommandLineParser::validate()'],['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp'],['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd3a8f060f8fcf2ab4ec7d9d14c1f30',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed61c5c2a9205b62faca59381ac185b1',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a091613692766d1e34ad31fe0f403a01b',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15ef6f9076815a5d1d9da7defac11fe1',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), dst_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14d61c73a88e02b1911b967640f8b383',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), src_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06c8638559b9de713abe0badcb413259',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), dst_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e4b6b68aa02e54d0cfa7925aacfeba0',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), width_padding, height_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b3a3ff6a6f15d54e05a82f13dc727c2',1,'arm_compute::test::validation::validate(src.info() -&gt;valid_region(), src_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a379c037a43bfd25a8664a9650b93d56a',1,'arm_compute::test::validation::validate(weights.info() -&gt;valid_region(), weights_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25d6ff2730cac30b00fc8fe6c9028108',1,'arm_compute::test::validation::validate(bias.info() -&gt;valid_region(), bias_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71a750ca3dc55154525208d7b89eabee',1,'arm_compute::test::validation::validate(ref_x.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24efb668576b0e7bb800273706fbead8',1,'arm_compute::test::validation::validate(ref_y.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad762b4729770120431a91330935e5bc8',1,'arm_compute::test::validation::validate(ref_src.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae24343908233fe7bc8a1e48aae13752e',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb433a1df7761e76719d4c41ebbd783a',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a209d0dce8e1dcc3cf9098f5649b5b2b0',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f',1,'arm_compute::test::validation::validate(const arm_compute::ValidRegion &amp;region, const arm_compute::ValidRegion &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a988c4a67dfa987caea90f71a4ad3a8b5',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;width_reference, const arm_compute::PaddingSize &amp;height_reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const void *reference_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, BorderSize border_size, const BorderMode &amp;border_mode, const void *border_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334',1,'arm_compute::test::validation::validate(std::vector&lt; unsigned int &gt; classified_labels, std::vector&lt; unsigned int &gt; expected_labels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa24df7339d073ba83dae2de61cc80416',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a7133ce9111c2d17597730ae3629b87',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const ValidRegion &amp;valid_region, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98de28726e7f2151e37de88468d7c8ae',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const SimpleTensor&lt; T &gt; &amp;valid_mask, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c19347e16069660a1a3ae62e1d607ee',1,'arm_compute::test::validation::validate(T target, T reference, U tolerance=AbsoluteTolerance&lt; T &gt;())']]],
   ['validate_2ecpp',['Validate.cpp',['../_validate_8cpp.xhtml',1,'']]],
   ['validate_2eh',['Validate.h',['../_c_p_p_2_validate_8h.xhtml',1,'(Global Namespace)'],['../_validate_8h.xhtml',1,'(Global Namespace)']]],
   ['validate_5fall_5fnodes',['validate_all_nodes',['../namespacearm__compute_1_1graph_1_1detail.xhtml#aa1d326a80e16fe0d4034637672d3b122',1,'arm_compute::graph::detail']]],
@@ -15,6 +19,7 @@
   ['validate_5fconfiguration',['validate_configuration',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4773668d05f0071ef209f3b19e2938af',1,'arm_compute::test::validation::validate_configuration(const CLTensor &amp;src, TensorShape shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b99c68730dc9d3b6f5d856864c1888a',1,'arm_compute::test::validation::validate_configuration(src, shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8115bb60734e2ad3cc20b8f73b74cd8',1,'arm_compute::test::validation::validate_configuration(const Tensor &amp;src, TensorShape shape)']]],
   ['validate_5fconvolution_5flayer',['validate_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fdepthwise_5fconvolution_5flayer',['validate_depthwise_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1634943db602da2c457279f427ab9538',1,'arm_compute::graph::backends::detail']]],
+  ['validate_5fdetection_5foutput_5flayer',['validate_detection_output_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fdetection_5fwindows',['validate_detection_windows',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7eea716df6e4c1348c4bbe4438c347fe',1,'arm_compute::test::validation']]],
   ['validate_5fgenerate_5fproposals_5flayer',['validate_generate_proposals_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fkeypoints',['validate_keypoints',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f99d2d87d24921c41c66388243f27c1',1,'arm_compute::test::validation']]],
@@ -42,19 +47,37 @@
   ['validationoutputaccessor',['ValidationOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml',1,'ValidationOutputAccessor'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ac3ae33bed176ca84786a8c910c3072c9',1,'arm_compute::graph_utils::ValidationOutputAccessor::ValidationOutputAccessor()']]],
   ['validregion',['ValidRegion',['../structarm__compute_1_1_valid_region.xhtml',1,'ValidRegion'],['../structarm__compute_1_1_valid_region.xhtml#a77ef520daabfab023d01732f24101c6e',1,'arm_compute::ValidRegion::ValidRegion()'],['../structarm__compute_1_1_valid_region.xhtml#af431f8fe2fbb6f0032006ddf53e6b03b',1,'arm_compute::ValidRegion::ValidRegion(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#a0147a2fe0634bb9caa4454f60525592e',1,'arm_compute::ValidRegion::ValidRegion(ValidRegion &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aafe658c46436747f101e5aa9f8cd28b2',1,'arm_compute::ValidRegion::ValidRegion(const Coordinates &amp;an_anchor, const TensorShape &amp;a_shape)'],['../structarm__compute_1_1_valid_region.xhtml#a1de12d43d932fc3b1e05ff15e85212bf',1,'arm_compute::ValidRegion::ValidRegion(const Coordinates &amp;an_anchor, const TensorShape &amp;a_shape, size_t num_dimensions)'],['../structarm__compute_1_1_i_o_format_info.xhtml#ae283722f31a4c59039f9abd44f10dbd0a3131a0d8b04c3dbc9119dc93a14bdbb9',1,'arm_compute::IOFormatInfo::ValidRegion()']]],
   ['valpha',['valpha',['../structarm__compute_1_1detail_1_1linear.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::linear::valpha()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::brelu::valpha()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::lubrelu::valpha()']]],
-  ['value',['Value',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml',1,'Measurement::Value'],['../structarm__compute_1_1enable__bitwise__ops_3_01arm__compute_1_1_g_p_u_target_01_4.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops&lt; arm_compute::GPUTarget &gt;::value()'],['../structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops::value()'],['../classarm__compute_1_1_pixel_value.xhtml#a3e79b9ee2384b30bb1a1bb85155bb803',1,'arm_compute::PixelValue::value()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#af2a8c2db065f7afb4dbaa382d2ecd5be',1,'arm_compute::test::framework::Measurement::value()'],['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::EnumListOption::value()'],['../classarm__compute_1_1utils_1_1_enum_option.xhtml#a77c7d528ac063d870b8c8426ec81c1c3',1,'arm_compute::utils::EnumOption::value()'],['../classarm__compute_1_1utils_1_1_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::ListOption::value()'],['../classarm__compute_1_1utils_1_1_simple_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::SimpleOption::value()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab037372802cee601adeb0ee97dc0c0f3',1,'arm_compute::test::framework::Measurement::Value::Value()']]],
+  ['value',['Value',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml',1,'Measurement::Value'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab037372802cee601adeb0ee97dc0c0f3',1,'arm_compute::test::framework::Measurement::Value::Value()'],['../structarm__compute_1_1enable__bitwise__ops_3_01arm__compute_1_1_g_p_u_target_01_4.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops&lt; arm_compute::GPUTarget &gt;::value()'],['../structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops::value()'],['../classarm__compute_1_1_pixel_value.xhtml#a3e79b9ee2384b30bb1a1bb85155bb803',1,'arm_compute::PixelValue::value()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#af2a8c2db065f7afb4dbaa382d2ecd5be',1,'arm_compute::test::framework::Measurement::value()'],['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::EnumListOption::value()'],['../classarm__compute_1_1utils_1_1_enum_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::EnumOption::value()'],['../classarm__compute_1_1utils_1_1_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::ListOption::value()'],['../classarm__compute_1_1utils_1_1_simple_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::SimpleOption::value()']]],
   ['value_5ftype',['value_type',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#afb9ded5f49336ae503bb9f2035ea902b',1,'arm_compute::test::IArrayAccessor::value_type()'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#afb9ded5f49336ae503bb9f2035ea902b',1,'arm_compute::test::ILutAccessor::value_type()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b',1,'arm_compute::test::SimpleTensor::value_type()'],['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#afb9ded5f49336ae503bb9f2035ea902b',1,'arm_compute::test::validation::AbsoluteTolerance::value_type()'],['../classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#afb9ded5f49336ae503bb9f2035ea902b',1,'arm_compute::test::validation::RelativeTolerance::value_type()']]],
   ['values_5fper_5froi',['values_per_roi',['../classarm__compute_1_1_generate_proposals_info.xhtml#a00870168b3c59d0a29a7a66f935c1880',1,'arm_compute::GenerateProposalsInfo::values_per_roi()'],['../classarm__compute_1_1_compute_anchors_info.xhtml#a00870168b3c59d0a29a7a66f935c1880',1,'arm_compute::ComputeAnchorsInfo::values_per_roi()']]],
   ['vand',['vand',['../namespacearm__compute_1_1wrapper.xhtml#ac071623f14587f7cc6c4aea757d4378b',1,'arm_compute::wrapper::vand(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace696b022d783c4a3e84f6aa23b9ec72',1,'arm_compute::wrapper::vand(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a364a30327f38b955216af9b5ac4367db',1,'arm_compute::wrapper::vand(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5bfe76fc6cc188b7e32c6944772f7125',1,'arm_compute::wrapper::vand(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a17104b7f34998fcd36ad45f0594678ab',1,'arm_compute::wrapper::vand(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa12949a2a2d6873da017181f7941232f',1,'arm_compute::wrapper::vand(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a88f7ebc42b23820a9ba0b8ac05d70d37',1,'arm_compute::wrapper::vand(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2865027ccc7e291a55d03e18a80f2341',1,'arm_compute::wrapper::vand(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a42a53b1fb8523ad84bb686cf83b2eeff',1,'arm_compute::wrapper::vand(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a09aa0f0336703a4ac289525882f81bc5',1,'arm_compute::wrapper::vand(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac36121fb64569e4d6b12eea9473e41a3',1,'arm_compute::wrapper::vand(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9601217868077e3ecf9c2dab5e8d7da2',1,'arm_compute::wrapper::vand(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a770a458f188ed6e66be390082eca8aed',1,'arm_compute::wrapper::vand(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1f5ad185828729587ebd0356cd0ca275',1,'arm_compute::wrapper::vand(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2913668b4791bdc393393ca60a078a7f',1,'arm_compute::wrapper::vand(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae36ea08250992deca7c68f523fb95842',1,'arm_compute::wrapper::vand(const int64x2_t &amp;a, const int64x2_t &amp;b)']]],
   ['vand_5fimpl',['VAND_IMPL',['../and_8h.xhtml#a13a01f353b67cca174ceee50dfd9c35d',1,'and.h']]],
+  ['var_5finfo',['var_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a31cc2314aae5e6f2c1299b653a2e0f99',1,'arm_compute::test::validation']]],
+  ['var_5finit_5fto_5fconst_5fdef',['VAR_INIT_TO_CONST_DEF',['../repeat_8h.xhtml#a88950092f54faf75d508703c229018e5',1,'repeat.h']]],
   ['variadic_5fsize',['VARIADIC_SIZE',['../tests_2framework_2_macros_8h.xhtml#a69f74358d42fc010bd8807d07436d7b5',1,'Macros.h']]],
-  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a8adf1132623f898e2088899490ef7bd6',1,'Macros.h']]],
+  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a1667c2513ea4d07e8c042cb7d703b03e',1,'Macros.h']]],
+  ['variance_5fencoded_5fin_5ftarget',['variance_encoded_in_target',['../classarm__compute_1_1_detection_output_layer_info.xhtml#aa5081eb6d3f7bf20f32573af8a60f1f9',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['variances',['variances',['../classarm__compute_1_1_prior_box_layer_info.xhtml#afd15b7132dbacc847969f91c72633e7d',1,'arm_compute::PriorBoxLayerInfo']]],
   ['vatomic_5finc16',['VATOMIC_INC16',['../histogram_8cl.xhtml#a2c8a35cfde24ca7728709200962e1a91',1,'histogram.cl']]],
   ['vbeta',['vbeta',['../structarm__compute_1_1detail_1_1linear.xhtml#a7bf6867cd97f3be4a120c87d1ede868b',1,'arm_compute::detail::linear::vbeta()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a7bf6867cd97f3be4a120c87d1ede868b',1,'arm_compute::detail::lubrelu::vbeta()']]],
+  ['vbsl',['vbsl',['../namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f',1,'arm_compute::wrapper::vbsl(const uint8x8_t &amp;a, const uint8x8_t &amp;b, const uint8x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a1d67e14ffa7491f6e7855ca784f8bc1c',1,'arm_compute::wrapper::vbsl(const uint8x8_t &amp;a, const int8x8_t &amp;b, const int8x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2a026522ed9848e50efc0d0c1c983d2',1,'arm_compute::wrapper::vbsl(const uint16x4_t &amp;a, const uint16x4_t &amp;b, const uint16x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a8d3343de117c4813f5d4abb2e3e3c03e',1,'arm_compute::wrapper::vbsl(const uint16x4_t &amp;a, const int16x4_t &amp;b, const int16x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#aff81fbbae785bed39470fd5b7bd84f74',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const uint32x2_t &amp;b, const uint32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a4f0ea6d9c08f2754df5dfd3b1a2cadfc',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const int32x2_t &amp;b, const int32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a6e9ab5ba6651382da60a866eb25c2a21',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const float32x2_t &amp;b, const float32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a47c89dc854078a34bda04d7b23db1f3c',1,'arm_compute::wrapper::vbsl(const uint8x16_t &amp;a, const uint8x16_t &amp;b, const uint8x16_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a944da63e855c56b8b7e22df3c253f674',1,'arm_compute::wrapper::vbsl(const uint8x16_t &amp;a, const int8x16_t &amp;b, const int8x16_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ae31efd18eb1c63c27a020ffcf0b74b53',1,'arm_compute::wrapper::vbsl(const uint16x8_t &amp;a, const uint16x8_t &amp;b, const uint16x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a5ebe0d613e398016f0314e60a2ff39bb',1,'arm_compute::wrapper::vbsl(const uint16x8_t &amp;a, const int16x8_t &amp;b, const int16x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ab65be4b474b777b1bd7c384af4113f54',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const uint32x4_t &amp;b, const uint32x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a7c7d27ea76fe8e31e3e0b29f8b3be4ac',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const int32x4_t &amp;b, const int32x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a534d9f21641f05eed5e896ad40e01e19',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const float32x4_t &amp;b, const float32x4_t &amp;c)']]],
+  ['vbsl_5fimpl',['VBSL_IMPL',['../bsl_8h.xhtml#ae1fef158df33d5ae3ed972318ffabd51',1,'bsl.h']]],
+  ['vceq',['vceq',['../namespacearm__compute_1_1wrapper.xhtml#aa7ccd655f600847f9d471604ed47e810',1,'arm_compute::wrapper::vceq(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa7eecdf642e1d3ce41a63c170d5a641a',1,'arm_compute::wrapper::vceq(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a90c57b01e394acf5a813e3535070c724',1,'arm_compute::wrapper::vceq(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a6fea33664b226a254510c31de8b42787',1,'arm_compute::wrapper::vceq(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac71b5829594d3bcaa593293e0e64fd8f',1,'arm_compute::wrapper::vceq(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab69f1749451b264048d3fb30e6fdf562',1,'arm_compute::wrapper::vceq(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aea0132b50c5f202b9d5da3c2da3e04c1',1,'arm_compute::wrapper::vceq(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9c4302ad9250f68a9ad28658a23232b6',1,'arm_compute::wrapper::vceq(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3097ab044eb611fd19da4376fb3eabff',1,'arm_compute::wrapper::vceq(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a136b782f75e2fa44ab5aad96d7e05e86',1,'arm_compute::wrapper::vceq(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9e2ed0c96cb4d10bbaf41d4e3e14cdd3',1,'arm_compute::wrapper::vceq(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad44d06b749b9821ef909a498ee939416',1,'arm_compute::wrapper::vceq(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae4739dd4ecb08dc6585170498d31bb40',1,'arm_compute::wrapper::vceq(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a84c7602398a05f06678734d051d4c0a8',1,'arm_compute::wrapper::vceq(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vceq_5fimpl',['VCEQ_IMPL',['../ceq_8h.xhtml#aa399fa958ad81ea96aa9bc5300fbe94e',1,'ceq.h']]],
+  ['vcge',['vcge',['../namespacearm__compute_1_1wrapper.xhtml#a1f777df8db31568a3436995df958714c',1,'arm_compute::wrapper::vcge(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8495f1866e7b0cec7c408608e1e45a7b',1,'arm_compute::wrapper::vcge(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f97e216d76733d97b278af3234ff077',1,'arm_compute::wrapper::vcge(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adc93fc63908d04bf8bfb29a3206b6526',1,'arm_compute::wrapper::vcge(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abc9261bb4aa1452020b79ce918c07369',1,'arm_compute::wrapper::vcge(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aed06c8595807184acaeac3075dc9495a',1,'arm_compute::wrapper::vcge(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac447f541ba304b3dd139c59ab6fbf895',1,'arm_compute::wrapper::vcge(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab249f24fb4bdb558c0fe7b05059489d4',1,'arm_compute::wrapper::vcge(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aeb188018f0f750e7b0146cf0e4e8f889',1,'arm_compute::wrapper::vcge(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5f2d1df8cd90eb7c2cd18b8bcddb0f2a',1,'arm_compute::wrapper::vcge(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aba7f10b6a312bc77326c8c179d54fbba',1,'arm_compute::wrapper::vcge(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a773ec4965160a27a9ca5aca6dd9d309b',1,'arm_compute::wrapper::vcge(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7288c2585a571dc1c76facf725f1cc96',1,'arm_compute::wrapper::vcge(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a823281ae3735f04eed2a82e9ec87acc3',1,'arm_compute::wrapper::vcge(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vcge_5fimpl',['VCGE_IMPL',['../cge_8h.xhtml#a895d19e8d018379223edd12dbe44bd20',1,'cge.h']]],
+  ['vcgt',['vcgt',['../namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c',1,'arm_compute::wrapper::vcgt(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab4eee4b00c664f1efba03321b2d4c947',1,'arm_compute::wrapper::vcgt(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5b659245eca180dcfcc57e75438a11d9',1,'arm_compute::wrapper::vcgt(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a96e5521a7f298420945cce5c15f41e08',1,'arm_compute::wrapper::vcgt(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a812e0b95bd587b9a75fb9b78a925ebd8',1,'arm_compute::wrapper::vcgt(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8a2952af3b1ef3386c8b6a01c2533bfe',1,'arm_compute::wrapper::vcgt(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8209ea6835bd064d2465f6011478aa25',1,'arm_compute::wrapper::vcgt(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afe2118060eaf61848b82bbb7bc818c47',1,'arm_compute::wrapper::vcgt(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab91bb6fea68f22bbfb9b6104674c682a',1,'arm_compute::wrapper::vcgt(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ab6755d5dc8868470a81ed1ae10ec56',1,'arm_compute::wrapper::vcgt(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af273d8dbdf46749c29ec45f1e17a8311',1,'arm_compute::wrapper::vcgt(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a828dc9fb08c9f630de36b40f2d46f603',1,'arm_compute::wrapper::vcgt(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0e6106b8bb67299f1a8e89111d12de59',1,'arm_compute::wrapper::vcgt(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1386cfcfc641b29ab70221552e99e36d',1,'arm_compute::wrapper::vcgt(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vcgt_5fimpl',['VCGT_IMPL',['../cgt_8h.xhtml#a64dca898320a5373b90bdc7cb1bcbe24',1,'cgt.h']]],
+  ['vclt',['vclt',['../namespacearm__compute_1_1wrapper.xhtml#a0d7eabdb6566ec547d8ce0a42ab0efd8',1,'arm_compute::wrapper::vclt(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a59bcab004f65b3b616eabccd8779cf4f',1,'arm_compute::wrapper::vclt(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac12bc897546e007e7fbc5e4ab26afd4a',1,'arm_compute::wrapper::vclt(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a036831b7f3e40812c7b93c8f9d036be0',1,'arm_compute::wrapper::vclt(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a77b8ad7b953f4e0a390cd7dc508b1133',1,'arm_compute::wrapper::vclt(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad4c6df5eb5a837e07ece2c67ee0d252e',1,'arm_compute::wrapper::vclt(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2704ccccdee6bc4868e6397c4913cf8a',1,'arm_compute::wrapper::vclt(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a28724874f41631f5dacaacc8fc145e66',1,'arm_compute::wrapper::vclt(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ad3b023704fa8d76dc390c73bb895ee',1,'arm_compute::wrapper::vclt(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8955d9746e67e644d21715b5a42ca3d2',1,'arm_compute::wrapper::vclt(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a29668afee86d27397debe995348257a0',1,'arm_compute::wrapper::vclt(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a996d2f54a37f806fe7009425d36a9242',1,'arm_compute::wrapper::vclt(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ac0840b4d3059d922706c1dab27ae08',1,'arm_compute::wrapper::vclt(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2b9e94da3ecd5b5999c8f8f165a42e8a',1,'arm_compute::wrapper::vclt(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vclt_5fimpl',['VCLT_IMPL',['../clt_8h.xhtml#aec09983762f53e48fc5fe3c989606293',1,'clt.h']]],
+  ['vcombine',['vcombine',['../namespacearm__compute_1_1wrapper.xhtml#a1598e7eb12a58fc53559332cd0c3ab6f',1,'arm_compute::wrapper::vcombine(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac0a3fb58591449faff844901e8191027',1,'arm_compute::wrapper::vcombine(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad79f020ea8e8362b8e10a887fe9c17a8',1,'arm_compute::wrapper::vcombine(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4ecc5a0a28fc965a30a32e3374a67380',1,'arm_compute::wrapper::vcombine(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0a1bcc88546eed0bce0a3c3bc741131b',1,'arm_compute::wrapper::vcombine(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad7c5d0c64de20d3eeb2328e0151195f6',1,'arm_compute::wrapper::vcombine(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a344cb8b780ba6f78a5a785786cbcaa43',1,'arm_compute::wrapper::vcombine(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
+  ['vcombine_5fimpl',['VCOMBINE_IMPL',['../combine_8h.xhtml#ab8d791094bb23b5ef44a87840fef2d40',1,'combine.h']]],
   ['vcvt',['vcvt',['../namespacearm__compute.xhtml#a6cb464349a8f184ffb8eded9ae9e5925',1,'arm_compute']]],
   ['vcvt_3c_20float32x4x4_5ft_20_3e',['vcvt&lt; float32x4x4_t &gt;',['../namespacearm__compute.xhtml#a146b84422a0eaf6c66ba8156425b5bdf',1,'arm_compute']]],
   ['vcvt_3c_20uint8x16_5ft_20_3e',['vcvt&lt; uint8x16_t &gt;',['../namespacearm__compute.xhtml#ab6bc00d6c4503a0bc303dd363e021476',1,'arm_compute']]],
+  ['vdequantize',['vdequantize',['../namespacearm__compute.xhtml#a04ae4ae815c47d443852428a0528a7d2',1,'arm_compute']]],
+  ['vdiv',['vdiv',['../namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907',1,'arm_compute::wrapper::vdiv(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a93d09fb9635ef6275df8b1ee334d62b4',1,'arm_compute::wrapper::vdiv(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vdiv_5fimpl',['VDIV_IMPL',['../div_8h.xhtml#aa8afc881d4e123890d30b4427c6537f2',1,'div.h']]],
   ['vdup_5fn',['vdup_n',['../namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873',1,'arm_compute::wrapper::vdup_n(uint8_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ae96f63b38824187da108a09448e7b7f1',1,'arm_compute::wrapper::vdup_n(int8_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ddcfbfe730c340aec577f57ccf389da',1,'arm_compute::wrapper::vdup_n(uint16_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#afa30db793e7c1fd082609ab7a6d5f165',1,'arm_compute::wrapper::vdup_n(int16_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ab7a046ee9be293d9b823ddaed7138ea1',1,'arm_compute::wrapper::vdup_n(uint32_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a3fb0be6f60ff8e0f3df96993f7227aac',1,'arm_compute::wrapper::vdup_n(int32_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#aae63f6b8b4a2ec47485921709b85563f',1,'arm_compute::wrapper::vdup_n(float value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ab38dbdbc1cddb9806cd5eb7c8e5369bf',1,'arm_compute::wrapper::vdup_n(uint8_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a0140b10717610c7716b37e0706bef65c',1,'arm_compute::wrapper::vdup_n(int8_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ac31dce4d78e068f2d10c266685de46cc',1,'arm_compute::wrapper::vdup_n(uint16_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a138a0ca63e4bfb6e81326b7f29f9f26f',1,'arm_compute::wrapper::vdup_n(int16_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a5cab0757ae9983d6f81120e1eeb0d495',1,'arm_compute::wrapper::vdup_n(uint32_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a1e4d95343b6703aa6502310fc041085d',1,'arm_compute::wrapper::vdup_n(int32_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a1d78cef5ffacdd18e233f2911fcaf3cc',1,'arm_compute::wrapper::vdup_n(float value, traits::vector_128_tag)'],['../namespacearm__compute.xhtml#a2603e5f72e3fa052025c189c1a6647ce',1,'arm_compute::vdup_n()']]],
   ['vdup_5fn_3c_20float32x4x4_5ft_20_3e',['vdup_n&lt; float32x4x4_t &gt;',['../namespacearm__compute.xhtml#aeabe5dd1c5751f380322a841d7ad8d7a',1,'arm_compute']]],
   ['vdup_5fn_3c_20vec_5f16_5fbyte_5ft_3c_20float_20_3e_20_3e',['vdup_n&lt; vec_16_byte_t&lt; float &gt; &gt;',['../namespacearm__compute.xhtml#ace69f5de3783f9cd924dac392710facf',1,'arm_compute']]],
@@ -102,13 +125,12 @@
   ['vget_5flow',['vget_low',['../namespacearm__compute.xhtml#a3bb60064e505cfd3a0d43528a3c1845d',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#a2a0a49e26931849079897f0a225589cb',1,'arm_compute::vget_low(vec_16_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#a5b825f82ef9a09db968b003310b44030',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a264ecd01ca0763d79aa4ad5515ce7b65',1,'arm_compute::vget_low(vec_16_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#a0477c495757cd6c2bdf6f151aa26a542',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#a4624ac629ac1199b9482f01334fe93a8',1,'arm_compute::vget_low(vec_16_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#ae83ce5db69a7a14f5c0ee9d9326e1a40',1,'arm_compute::vget_low(vec_16_byte_t&lt; float &gt; vec)']]],
   ['vgethigh',['vgethigh',['../namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3',1,'arm_compute::wrapper::vgethigh(const uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ac9c024a301326584e832c4a48504b8bf',1,'arm_compute::wrapper::vgethigh(const int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afbcf39b840489f643bc83778d43f6335',1,'arm_compute::wrapper::vgethigh(const uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a4bb43c0a3ad727d1ee1af90103a8829b',1,'arm_compute::wrapper::vgethigh(const int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2f8b38aa056a162e85852f0c6761289',1,'arm_compute::wrapper::vgethigh(const uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afd21e55cfb947d64570a61c1faf5ecc6',1,'arm_compute::wrapper::vgethigh(const int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a141bed2170a24f4fa5ec39a7c19d5d61',1,'arm_compute::wrapper::vgethigh(const float32x4_t val)']]],
   ['vgethigh_5fimpl',['VGETHIGH_IMPL',['../gethigh_8h.xhtml#a8a499aed60aec58435ca79af3990fe42',1,'gethigh.h']]],
-  ['vgetlane',['vgetlane',['../namespacearm__compute_1_1wrapper.xhtml#a7942760521e166be06dd2fb44a7dcf25',1,'arm_compute::wrapper::vgetlane(const uint8x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a6d21ff1bd5ffea4299349bce82002aa2',1,'arm_compute::wrapper::vgetlane(const int8x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ac09ddece1e3391bb56fb3d3d0131ecdf',1,'arm_compute::wrapper::vgetlane(const uint16x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#afdb5b5bd6639c3f4ae13eda87f565228',1,'arm_compute::wrapper::vgetlane(const int16x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ae167e6fe177fb9816f466ad9c422ff8a',1,'arm_compute::wrapper::vgetlane(const uint32x2_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#add649a246ec5b87317cbc55d6b870ab7',1,'arm_compute::wrapper::vgetlane(const int32x2_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#af05d7ba1b1ed3b05a92144feb0616611',1,'arm_compute::wrapper::vgetlane(const float32x2_t vector, const int lane)']]],
+  ['vgetlane',['vgetlane',['../namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219',1,'arm_compute::wrapper::vgetlane(const uint8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a58856d5e33204b7d362cea988ba3f608',1,'arm_compute::wrapper::vgetlane(const int8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad6a155bca7827cfe94fd04a0d3fa0f36',1,'arm_compute::wrapper::vgetlane(const uint16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a58f917e11f37590fcfa3391e1e1e06ee',1,'arm_compute::wrapper::vgetlane(const int16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ab9f16a1518f6a2a4bad0532bf6080a1c',1,'arm_compute::wrapper::vgetlane(const uint32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a948fe39abb6ce89ffb87de8d332c87aa',1,'arm_compute::wrapper::vgetlane(const int32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f43a3bdf084f33d306eb6e050a682be',1,'arm_compute::wrapper::vgetlane(const float32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#affd20ad81488509d2c826f989d4e69b8',1,'arm_compute::wrapper::vgetlane(const uint8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0bd3e6cd567d645ad6a1788764ccaa9d',1,'arm_compute::wrapper::vgetlane(const int8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a865f7d46d623ca9f2a56bc69c25fb319',1,'arm_compute::wrapper::vgetlane(const uint16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a5abca006a0d9d71f42c12425c6cb9e9b',1,'arm_compute::wrapper::vgetlane(const int16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a903fd5324e155c0f864cb244a3eff50d',1,'arm_compute::wrapper::vgetlane(const uint32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a8f67032361df236ca59f9bc806589971',1,'arm_compute::wrapper::vgetlane(const int32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a66b37188df7f842a57621e343dfe1129',1,'arm_compute::wrapper::vgetlane(const float32x4_t vector, const unsigned int lane)']]],
   ['vgetlane_5fimpl_5f2',['VGETLANE_IMPL_2',['../getlane_8h.xhtml#a613f369eab3c81d4644ec91a9e0e16db',1,'getlane.h']]],
   ['vgetlane_5fimpl_5f4',['VGETLANE_IMPL_4',['../getlane_8h.xhtml#ab21355519afdee817ec3095881a40da4',1,'getlane.h']]],
   ['vgetlane_5fimpl_5f8',['VGETLANE_IMPL_8',['../getlane_8h.xhtml#a8c1f71cee67d8f261738daec48f791b3',1,'getlane.h']]],
   ['vgetlow',['vgetlow',['../namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783',1,'arm_compute::wrapper::vgetlow(const uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a6b68d30ce46c4c3194066823acacd442',1,'arm_compute::wrapper::vgetlow(const int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ac9acd645854ecc2a492de10a5999034d',1,'arm_compute::wrapper::vgetlow(const uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afd2ae064582b5d27d7f3df420fef03eb',1,'arm_compute::wrapper::vgetlow(const int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a274a067e78d261385119acb19ebc7053',1,'arm_compute::wrapper::vgetlow(const uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a6a958c1d3f88b393fc31f68d19f1a718',1,'arm_compute::wrapper::vgetlow(const int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a745d994b7c62f971cd7023839b784ff2',1,'arm_compute::wrapper::vgetlow(const float32x4_t val)']]],
   ['vgetlow_5fimpl',['VGETLOW_IMPL',['../getlow_8h.xhtml#a7cb362ee74979c9137f4f26d5b3f5c7a',1,'getlow.h']]],
-  ['vgetqlane',['vgetqlane',['../namespacearm__compute_1_1wrapper.xhtml#afd38fe23c36b3beae2328e48a52201f4',1,'arm_compute::wrapper::vgetqlane(const uint8x16_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a1bd18d87a40b79527b49347f35d2c9b5',1,'arm_compute::wrapper::vgetqlane(const int8x16_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a9dab805d3cfaef1a075d41f47fc3a6bb',1,'arm_compute::wrapper::vgetqlane(const uint16x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#acd4dd84d48c63324d7ff91499b2ace33',1,'arm_compute::wrapper::vgetqlane(const int16x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad1c1c26eb0ae665f630b89aa4b36b65a',1,'arm_compute::wrapper::vgetqlane(const uint32x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aab7e595808ac79d53ecf90da0de5dd31',1,'arm_compute::wrapper::vgetqlane(const int32x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#af5b5e943c70b14264adc2d023f3463eb',1,'arm_compute::wrapper::vgetqlane(const float32x4_t vector, const int lane)']]],
   ['vgetqlane_5fimpl_5f16',['VGETQLANE_IMPL_16',['../getlane_8h.xhtml#a37206d490f1251da106a185eab356881',1,'getlane.h']]],
   ['vgetqlane_5fimpl_5f4',['VGETQLANE_IMPL_4',['../getlane_8h.xhtml#ac99257d17af60fc10fea00c4c6b21755',1,'getlane.h']]],
   ['vgetqlane_5fimpl_5f8',['VGETQLANE_IMPL_8',['../getlane_8h.xhtml#ae68e7caec08496db4a3590e1aed6f606',1,'getlane.h']]],
@@ -116,9 +138,11 @@
   ['vinv_5ff32',['vinv_f32',['../namespacearm__compute.xhtml#acc6fd1bcd12ef1141e15401a04d31187',1,'arm_compute']]],
   ['vinv_5fimpl',['VINV_IMPL',['../inv_8h.xhtml#a40d7d98ec5221df8fb9baa6285e0eac8',1,'inv.h']]],
   ['vinvq_5ff32',['vinvq_f32',['../namespacearm__compute.xhtml#a2e0f2412b4d1302272d1aeb85d21ab25',1,'arm_compute']]],
+  ['vinvsqrt',['vinvsqrt',['../namespacearm__compute_1_1wrapper.xhtml#a569988c8e1a2619532b8f4d0394d5d79',1,'arm_compute::wrapper::vinvsqrt(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aca22c6207d1ef0aa5ad1ff392ce56917',1,'arm_compute::wrapper::vinvsqrt(const float32x4_t &amp;a)']]],
   ['vinvsqrt_5ff32',['vinvsqrt_f32',['../namespacearm__compute.xhtml#afc415e7fc5e633a0b85b08b2bba5b5cf',1,'arm_compute']]],
+  ['vinvsqrt_5fimpl',['VINVSQRT_IMPL',['../invsqrt_8h.xhtml#ae4e958aaa071eaccd30635175915525b',1,'invsqrt.h']]],
   ['vinvsqrtq_5ff32',['vinvsqrtq_f32',['../namespacearm__compute.xhtml#ab8970d7aed07d8649f5e3088455948b8',1,'arm_compute']]],
-  ['visit',['visit',['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0',1,'arm_compute::graph::INodeVisitor::visit(INode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0a1deb26be8ff3f1282f6cbb84a134db',1,'arm_compute::graph::INodeVisitor::visit(ActivationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a367df83f95d6bd0092f21ea26c11afca',1,'arm_compute::graph::INodeVisitor::visit(BatchNormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a77b8f48b045bafdb2f73855edf5fe163',1,'arm_compute::graph::INodeVisitor::visit(ConcatenateLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a9dca296fbf52dcc2c58a0664998e68de',1,'arm_compute::graph::INodeVisitor::visit(ConstNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a1621b973252298e5cefe802320955c40',1,'arm_compute::graph::INodeVisitor::visit(ConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6b39c0c7a4b6470717ce846e797a19d9',1,'arm_compute::graph::INodeVisitor::visit(DepthwiseConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3a831d8fbe701e51eba638465496244f',1,'arm_compute::graph::INodeVisitor::visit(EltwiseLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ae090e4537101ef27e04ff80b0e165939',1,'arm_compute::graph::INodeVisitor::visit(FlattenLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af16210fc560909e8c7b27e3f20f8daa6',1,'arm_compute::graph::INodeVisitor::visit(FullyConnectedLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ad1265b49ac3e299a4025cd29987476d3',1,'arm_compute::graph::INodeVisitor::visit(InputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a698f59bea216132157f6fb4469e926ba',1,'arm_compute::graph::INodeVisitor::visit(NormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ab87ed681a6ea37686aec7cd27b887527',1,'arm_compute::graph::INodeVisitor::visit(OutputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af394f8b2857e0272182ba95275cc8994',1,'arm_compute::graph::INodeVisitor::visit(PermuteLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0f23f0b02ad93c75535890e51c0b3905',1,'arm_compute::graph::INodeVisitor::visit(PoolingLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6a7d79aed59ab72f3cedcfabf1f7884b',1,'arm_compute::graph::INodeVisitor::visit(PriorBoxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3ab3d1a5fedf335e979356b1236af8a9',1,'arm_compute::graph::INodeVisitor::visit(ReshapeLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a35761aee870b4c937facc4c7f29fd39c',1,'arm_compute::graph::INodeVisitor::visit(SoftmaxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a879921d1e54b9711d71a8d2938516d11',1,'arm_compute::graph::INodeVisitor::visit(SplitLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a758cad84d59383224e908a0448c0e400',1,'arm_compute::graph::DotGraphVisitor::visit(ActivationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae6a61733b0daa30060b2d643a59882f9',1,'arm_compute::graph::DotGraphVisitor::visit(BatchNormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a5c10d2f76900c79976b527d3fd94492a',1,'arm_compute::graph::DotGraphVisitor::visit(ConcatenateLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9f9ccf9586c79250a79c85fb562cc2f5',1,'arm_compute::graph::DotGraphVisitor::visit(ConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aed4fc061f50c81e08328eeead9f6ca3c',1,'arm_compute::graph::DotGraphVisitor::visit(DepthwiseConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a1e48e66ec69d2ae228f73f6a7fc8aab6',1,'arm_compute::graph::DotGraphVisitor::visit(EltwiseLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aac5b1d0d521f3e24c6eb1b0ca3bc8016',1,'arm_compute::graph::DotGraphVisitor::visit(NormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9aa6abdf5e8362bc489cd55509f4f317',1,'arm_compute::graph::DotGraphVisitor::visit(PoolingLayerNode &amp;n) override']]],
+  ['visit',['visit',['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0',1,'arm_compute::graph::INodeVisitor::visit(INode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0a1deb26be8ff3f1282f6cbb84a134db',1,'arm_compute::graph::INodeVisitor::visit(ActivationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a367df83f95d6bd0092f21ea26c11afca',1,'arm_compute::graph::INodeVisitor::visit(BatchNormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a77b8f48b045bafdb2f73855edf5fe163',1,'arm_compute::graph::INodeVisitor::visit(ConcatenateLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a9dca296fbf52dcc2c58a0664998e68de',1,'arm_compute::graph::INodeVisitor::visit(ConstNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a1621b973252298e5cefe802320955c40',1,'arm_compute::graph::INodeVisitor::visit(ConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6b39c0c7a4b6470717ce846e797a19d9',1,'arm_compute::graph::INodeVisitor::visit(DepthwiseConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a372f8556dcb66d7cda58db4a5f331e1f',1,'arm_compute::graph::INodeVisitor::visit(DetectionOutputLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3a831d8fbe701e51eba638465496244f',1,'arm_compute::graph::INodeVisitor::visit(EltwiseLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ae090e4537101ef27e04ff80b0e165939',1,'arm_compute::graph::INodeVisitor::visit(FlattenLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af16210fc560909e8c7b27e3f20f8daa6',1,'arm_compute::graph::INodeVisitor::visit(FullyConnectedLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ad1265b49ac3e299a4025cd29987476d3',1,'arm_compute::graph::INodeVisitor::visit(InputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a698f59bea216132157f6fb4469e926ba',1,'arm_compute::graph::INodeVisitor::visit(NormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ab87ed681a6ea37686aec7cd27b887527',1,'arm_compute::graph::INodeVisitor::visit(OutputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af394f8b2857e0272182ba95275cc8994',1,'arm_compute::graph::INodeVisitor::visit(PermuteLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0f23f0b02ad93c75535890e51c0b3905',1,'arm_compute::graph::INodeVisitor::visit(PoolingLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6a7d79aed59ab72f3cedcfabf1f7884b',1,'arm_compute::graph::INodeVisitor::visit(PriorBoxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3ab3d1a5fedf335e979356b1236af8a9',1,'arm_compute::graph::INodeVisitor::visit(ReshapeLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a35761aee870b4c937facc4c7f29fd39c',1,'arm_compute::graph::INodeVisitor::visit(SoftmaxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a879921d1e54b9711d71a8d2938516d11',1,'arm_compute::graph::INodeVisitor::visit(SplitLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a758cad84d59383224e908a0448c0e400',1,'arm_compute::graph::DotGraphVisitor::visit(ActivationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae6a61733b0daa30060b2d643a59882f9',1,'arm_compute::graph::DotGraphVisitor::visit(BatchNormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a5c10d2f76900c79976b527d3fd94492a',1,'arm_compute::graph::DotGraphVisitor::visit(ConcatenateLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9f9ccf9586c79250a79c85fb562cc2f5',1,'arm_compute::graph::DotGraphVisitor::visit(ConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aed4fc061f50c81e08328eeead9f6ca3c',1,'arm_compute::graph::DotGraphVisitor::visit(DepthwiseConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a1e48e66ec69d2ae228f73f6a7fc8aab6',1,'arm_compute::graph::DotGraphVisitor::visit(EltwiseLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aac5b1d0d521f3e24c6eb1b0ca3bc8016',1,'arm_compute::graph::DotGraphVisitor::visit(NormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9aa6abdf5e8362bc489cd55509f4f317',1,'arm_compute::graph::DotGraphVisitor::visit(PoolingLayerNode &amp;n) override']]],
   ['vld',['vld',['../namespacearm__compute.xhtml#a85d0b4103385d996d4014691d2df0cf1',1,'arm_compute']]],
   ['vld_3c_20vec_5f16_5fbyte_5ft_3c_20float_20_3e_20_3e',['vld&lt; vec_16_byte_t&lt; float &gt; &gt;',['../namespacearm__compute.xhtml#aa8e2f6d1e361e3ac707595f1092b9103',1,'arm_compute']]],
   ['vld_3c_20vec_5f16_5fbyte_5ft_3c_20int16_5ft_20_3e_20_3e',['vld&lt; vec_16_byte_t&lt; int16_t &gt; &gt;',['../namespacearm__compute.xhtml#afd4981f6532c3a76716e3053d119e269',1,'arm_compute']]],
@@ -139,6 +163,8 @@
   ['vload_5fstr',['VLOAD_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a29367a809c14c294feefc1a8dad93752',1,'helpers.h']]],
   ['vloadq',['vloadq',['../namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6',1,'arm_compute::wrapper::vloadq(const uint8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#abdcc9846d94853fcbddb817879de1a34',1,'arm_compute::wrapper::vloadq(const int8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#aace1a8b4ba67c412574180dd492e480b',1,'arm_compute::wrapper::vloadq(const uint16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#ae189872ea41a0947dd06f560aaca3fbb',1,'arm_compute::wrapper::vloadq(const int16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a3ea1791012d4495628c21706e031a1eb',1,'arm_compute::wrapper::vloadq(const uint32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a68cae5637e21bb5bc7563a5a89c27764',1,'arm_compute::wrapper::vloadq(const int32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#adbe3f94e4c5f2a89be3c5fff7c87a1c2',1,'arm_compute::wrapper::vloadq(const float *ptr)']]],
   ['vloadq_5fimpl',['VLOADQ_IMPL',['../load_8h.xhtml#a0c7646422da9febac20624c0b9b2a1a3',1,'load.h']]],
+  ['vlog',['vlog',['../namespacearm__compute_1_1wrapper.xhtml#a23cc34c6476b7df556284c718c44e65c',1,'arm_compute::wrapper']]],
+  ['vlog_5fimpl',['VLOG_IMPL',['../_n_e_o_n_2wrapper_2intrinsics_2_log_8h.xhtml#a22cd8aa4f02fcb658107a84aeb481982',1,'log.h']]],
   ['vlogq_5ff32',['vlogq_f32',['../namespacearm__compute.xhtml#a1d090b80b655e7f8fd8977bb93808b04',1,'arm_compute']]],
   ['vmax',['vmax',['../namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f',1,'arm_compute::wrapper::vmax(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8f7649f2ee606cf842115341b7571aab',1,'arm_compute::wrapper::vmax(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adf5ce125cc789021a3d24f5707d711ec',1,'arm_compute::wrapper::vmax(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7afbbd0a831ad31c1a75e48b7d93324a',1,'arm_compute::wrapper::vmax(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a6b553699a7c1e9d9cb109a49ad3c5727',1,'arm_compute::wrapper::vmax(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5ca7ae9e30647c4643b1eb31f6517791',1,'arm_compute::wrapper::vmax(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae2e5d4eb72295c6454bbd4a051cb32d6',1,'arm_compute::wrapper::vmax(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a650538c522d3fd73c30e39cd170d02f9',1,'arm_compute::wrapper::vmax(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae30d6367801c1cba0e1e24b5e8a664b8',1,'arm_compute::wrapper::vmax(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afda337d70b92b77d4bb0601cd5673230',1,'arm_compute::wrapper::vmax(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae5e87ca36a247c28d04b4bf992f5dd9a',1,'arm_compute::wrapper::vmax(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3b5bb4293c6cf9406b10543f2af45cae',1,'arm_compute::wrapper::vmax(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5305cd57eda646455fa9e5638d828db9',1,'arm_compute::wrapper::vmax(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4a705920c79ac05f91ac30842627e97a',1,'arm_compute::wrapper::vmax(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#a1cb1c90103d83ca052919e98dbaac553',1,'arm_compute::vmax(vec_16_byte_t&lt; uint8_t &gt; a, vec_16_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a2ee044b41b71a344cad69a08aecb1d5f',1,'arm_compute::vmax(vec_16_byte_t&lt; int8_t &gt; a, vec_16_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a7c4bfe1c9c07571952a81783fa8540de',1,'arm_compute::vmax(vec_16_byte_t&lt; uint16_t &gt; a, vec_16_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#abe221c26fe4f91102c0f7b5e2336c070',1,'arm_compute::vmax(vec_16_byte_t&lt; int16_t &gt; a, vec_16_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#a1bb4dd507d55db5ae8fafab84d31b870',1,'arm_compute::vmax(vec_16_byte_t&lt; uint32_t &gt; a, vec_16_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#a4e2374d1a63f2e9433b7965eede927af',1,'arm_compute::vmax(vec_16_byte_t&lt; int32_t &gt; a, vec_16_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#a837afab6fd85e34f2bd6e267f4c9e849',1,'arm_compute::vmax(vec_16_byte_t&lt; float &gt; a, vec_16_byte_t&lt; float &gt; b)']]],
   ['vmax2q_5ff32',['vmax2q_f32',['../namespacearm__compute.xhtml#ace593813d742d127296b09fa8ab3f85e',1,'arm_compute']]],
@@ -155,22 +181,46 @@
   ['vmul',['vmul',['../namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4',1,'arm_compute::wrapper::vmul(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a66a7fd5e2104da748fdb7665e3505b3c',1,'arm_compute::wrapper::vmul(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1aefc54a525724581b1a09f3b9e33111',1,'arm_compute::wrapper::vmul(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a32c397e73d2083c8f48aaf0afcdd81c8',1,'arm_compute::wrapper::vmul(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa2579d7197d661c7e483c2b4079c5037',1,'arm_compute::wrapper::vmul(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace213c51916a0c2f979f3082663765e1',1,'arm_compute::wrapper::vmul(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa99c51650860bee18dc2a1c6259c661',1,'arm_compute::wrapper::vmul(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1e6e6496807b9c330c9a21749f442a6d',1,'arm_compute::wrapper::vmul(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a34bb12fc418530504162b300bf417ee9',1,'arm_compute::wrapper::vmul(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4f2e93cec76891a55fde0d4ead3f7728',1,'arm_compute::wrapper::vmul(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f1fb2425af2afc3bcfb2ee0c8a68119',1,'arm_compute::wrapper::vmul(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af797877175d454cbaa6b25b19fb6c7e1',1,'arm_compute::wrapper::vmul(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aab8ce1a283f1649a3a7763c0600dd7f7',1,'arm_compute::wrapper::vmul(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a04525a80382277955944902464f660e4',1,'arm_compute::wrapper::vmul(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
   ['vmul_5fimpl',['VMUL_IMPL',['../mul_8h.xhtml#a7230a4f28baa1af7abdcd914a6cace07',1,'mul.h']]],
   ['vmul_5fn',['vmul_n',['../namespacearm__compute.xhtml#a5dce3fda8114a32a2c8f1f517adca368',1,'arm_compute::vmul_n(vec_16_byte_t&lt; float &gt; vec, float val)'],['../namespacearm__compute.xhtml#abc9f4323a93d34d19bab7cc371649441',1,'arm_compute::vmul_n(float32x4x4_t vec, float val)']]],
-  ['vneg',['vneg',['../namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7',1,'arm_compute::wrapper::vneg(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6508f2e9aa4b8832aa4e05716a436f',1,'arm_compute::wrapper::vneg(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1fcdbb04887f4009d8eaf423260d862e',1,'arm_compute::wrapper::vneg(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f8675538052849d9a77195dcb2a0475',1,'arm_compute::wrapper::vneg(const float32x2_t &amp;a)']]],
-  ['vneg_5fimpl',['VNEG_IMPL',['../neg_8h.xhtml#aff004cf8b18db56bc49fbc80092ea517',1,'neg.h']]],
-  ['vnegq',['vnegq',['../namespacearm__compute_1_1wrapper.xhtml#acfca5c0549569d0748bbc1bbabae8b5b',1,'arm_compute::wrapper::vnegq(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a42f50a3e82d32abc2786a355428ba7d5',1,'arm_compute::wrapper::vnegq(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa09e8d6796678cced3dbc18dfe940a9',1,'arm_compute::wrapper::vnegq(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f567c83d21c9f879ee1e4c5deed598f',1,'arm_compute::wrapper::vnegq(const float32x4_t &amp;a)']]],
-  ['vnegq_5fimpl',['VNEGQ_IMPL',['../neg_8h.xhtml#a86f55cb8661d39bb53c96bb1bf9027d5',1,'neg.h']]],
+  ['vneg',['vneg',['../namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7',1,'arm_compute::wrapper::vneg(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6508f2e9aa4b8832aa4e05716a436f',1,'arm_compute::wrapper::vneg(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1fcdbb04887f4009d8eaf423260d862e',1,'arm_compute::wrapper::vneg(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f8675538052849d9a77195dcb2a0475',1,'arm_compute::wrapper::vneg(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab4a2420279b0278307ecbb5f37591bce',1,'arm_compute::wrapper::vneg(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a28971f157797cbfb899157085c6c56cf',1,'arm_compute::wrapper::vneg(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ac4b0bebb0fa5dbbe06e2480f87a1ae1d',1,'arm_compute::wrapper::vneg(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1bd7d04c076d2e2dce7c70df98916539',1,'arm_compute::wrapper::vneg(const float32x4_t &amp;a)']]],
+  ['vneg_5fimpl',['VNEG_IMPL',['../neg_8h.xhtml#a200ac36c7fe41ad0efab758b8310702f',1,'neg.h']]],
+  ['vnot',['vnot',['../namespacearm__compute_1_1wrapper.xhtml#aed661d4bd9a14812355576773982eb7a',1,'arm_compute::wrapper::vnot(const uint8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#afc1b2a3caf3433ec566f47ce39de7e69',1,'arm_compute::wrapper::vnot(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a406944d21fe0860048958cb4a5802752',1,'arm_compute::wrapper::vnot(const uint16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#acd57145d7cad49cf89cd79633bcd2340',1,'arm_compute::wrapper::vnot(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab8bfb7550a2cda0cacd83945b9222d9e',1,'arm_compute::wrapper::vnot(const uint32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a76e5ae3c725c70789557192e3546df27',1,'arm_compute::wrapper::vnot(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aa39a80bee981969fc846d403028b5f3f',1,'arm_compute::wrapper::vnot(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a278a9fc4819273bf361fa978ebe448f8',1,'arm_compute::wrapper::vnot(const uint8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a0df250cea56a8740e8a975eefa787ba2',1,'arm_compute::wrapper::vnot(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3d7b69561da7e6895eabeeab862fe28b',1,'arm_compute::wrapper::vnot(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9725668a8840d7402f0ab6ba20610fc4',1,'arm_compute::wrapper::vnot(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a18f2b6ebfa0c3d0cc784351c199c8fae',1,'arm_compute::wrapper::vnot(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9a6c9a5080b8ae0edd2cec9feb92a089',1,'arm_compute::wrapper::vnot(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a75153e22804bc49ce6c34b0116e584ff',1,'arm_compute::wrapper::vnot(const float32x4_t &amp;a)']]],
+  ['vnot_5fimpl',['VNOT_IMPL',['../not_8h.xhtml#a7e57462f485378696617fc78a76484c9',1,'not.h']]],
   ['vone',['vone',['../structarm__compute_1_1detail_1_1logistic.xhtml#a2c1ba84928bd43894ed06aa82fe727c9',1,'arm_compute::detail::logistic']]],
+  ['vorr',['vorr',['../namespacearm__compute_1_1wrapper.xhtml#afd68f4669bdf3bfe0ec26c6a1825e248',1,'arm_compute::wrapper::vorr(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9e4d79fc5d8ce9434a8ee55a2fb69d05',1,'arm_compute::wrapper::vorr(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a890824d4840294e482a1cb80d3f93972',1,'arm_compute::wrapper::vorr(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae37968041962a0906bd348df28d07fef',1,'arm_compute::wrapper::vorr(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae5dad3d69ec8ed5cee464869327ee189',1,'arm_compute::wrapper::vorr(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9538681eef113da4bc7192eae24d9d29',1,'arm_compute::wrapper::vorr(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac8c49d92c97299ca7a1d4d558ab4fe4c',1,'arm_compute::wrapper::vorr(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5f7ab02073d80a11d6dc31165ef4e408',1,'arm_compute::wrapper::vorr(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a85a500565f56a89cc48ee9bfa6de5bb6',1,'arm_compute::wrapper::vorr(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa9b568258be29fdc84f839e4c6dca869',1,'arm_compute::wrapper::vorr(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad22503a8a86c698298bd18d30c7e1c0f',1,'arm_compute::wrapper::vorr(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1ca21e1f83192cb137031766f20a0c88',1,'arm_compute::wrapper::vorr(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a55363e655ba94b3b37d4e5665e79c794',1,'arm_compute::wrapper::vorr(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7810dc5de2d4ed31b3536183f354798f',1,'arm_compute::wrapper::vorr(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac30e27438ac5473a439d231eed39882b',1,'arm_compute::wrapper::vorr(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a47a3a49930632d95dda54fe073458b63',1,'arm_compute::wrapper::vorr(const int64x2_t &amp;a, const int64x2_t &amp;b)']]],
+  ['vorr_5fimpl',['VORR_IMPL',['../orr_8h.xhtml#a04434dfb922ac8edd2457b4b610f4179',1,'orr.h']]],
   ['vpadd',['vpadd',['../namespacearm__compute_1_1wrapper.xhtml#a475ee3c8ef70a2e4f18effd1d527a63a',1,'arm_compute::wrapper::vpadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a484740aa6942805e042822fb7cef12ec',1,'arm_compute::wrapper::vpadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af7354b0a019a54faca6951b03d9cf766',1,'arm_compute::wrapper::vpadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abd6493e8a191146e3455134723c495d1',1,'arm_compute::wrapper::vpadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac025e9eb7cd72f6ef016cb928b51b02d',1,'arm_compute::wrapper::vpadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac061b47e13fa4832ee51b203de487325',1,'arm_compute::wrapper::vpadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adae782aae6d44f1f87f624b31a544c59',1,'arm_compute::wrapper::vpadd(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
   ['vpadd_5fimpl',['VPADD_IMPL',['../padd_8h.xhtml#ad214582b616c6013dbf8e818c8c861c7',1,'padd.h']]],
-  ['vpmax',['vpmax',['../namespacearm__compute.xhtml#aae85042ef273ca700734604b5488f2ff',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint8_t &gt; a, vec_8_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a0d9a679f8dfa41f17d46f6c1e56ca82d',1,'arm_compute::vpmax(vec_8_byte_t&lt; int8_t &gt; a, vec_8_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a2bc9036a2d288d7a4ad2d015d91ba5d9',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint16_t &gt; a, vec_8_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#ab831eb6268e8d3dcfd9ce6e1e7daf598',1,'arm_compute::vpmax(vec_8_byte_t&lt; int16_t &gt; a, vec_8_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#aacd10f0e821aff266057a1fc443c6344',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint32_t &gt; a, vec_8_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#aeb42b9eb65ed0207ddcdb9c870fd5697',1,'arm_compute::vpmax(vec_8_byte_t&lt; int32_t &gt; a, vec_8_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#af8efc828ccf4a8f2c6b26cfe3813952d',1,'arm_compute::vpmax(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)']]],
+  ['vpmax',['vpmax',['../namespacearm__compute_1_1wrapper.xhtml#ab799fd9cd5fc5989593e69c55bc400f9',1,'arm_compute::wrapper::vpmax(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a77e7bf27d6c698eeb78c6e59c7736ff3',1,'arm_compute::wrapper::vpmax(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5d9100f677c0c26000fbe7f1142a0169',1,'arm_compute::wrapper::vpmax(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a084c3b19f25619ec9a4f6a28edb4849b',1,'arm_compute::wrapper::vpmax(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a95f30695a9984559b5b4330be93fb4f5',1,'arm_compute::wrapper::vpmax(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a39ff87169325e42bcec4e8b72aebac16',1,'arm_compute::wrapper::vpmax(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abae9be70c52a197549e33b022ddd488f',1,'arm_compute::wrapper::vpmax(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute.xhtml#aae85042ef273ca700734604b5488f2ff',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint8_t &gt; a, vec_8_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a0d9a679f8dfa41f17d46f6c1e56ca82d',1,'arm_compute::vpmax(vec_8_byte_t&lt; int8_t &gt; a, vec_8_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a2bc9036a2d288d7a4ad2d015d91ba5d9',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint16_t &gt; a, vec_8_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#ab831eb6268e8d3dcfd9ce6e1e7daf598',1,'arm_compute::vpmax(vec_8_byte_t&lt; int16_t &gt; a, vec_8_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#aacd10f0e821aff266057a1fc443c6344',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint32_t &gt; a, vec_8_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#aeb42b9eb65ed0207ddcdb9c870fd5697',1,'arm_compute::vpmax(vec_8_byte_t&lt; int32_t &gt; a, vec_8_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#af8efc828ccf4a8f2c6b26cfe3813952d',1,'arm_compute::vpmax(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)']]],
+  ['vpmax_5fimpl',['VPMAX_IMPL',['../pmax_8h.xhtml#a5baec76144268d30fcd5ba40bd0ed174',1,'pmax.h']]],
+  ['vpmin',['vpmin',['../namespacearm__compute_1_1wrapper.xhtml#ab82845d16e532ba6603e1b960a79384b',1,'arm_compute::wrapper::vpmin(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7f1295502983abdaece250516b8e564e',1,'arm_compute::wrapper::vpmin(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a14642064b6d61c95588ff03d2bf3e522',1,'arm_compute::wrapper::vpmin(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a90e2e64fc6298266c08a915c77fca4b3',1,'arm_compute::wrapper::vpmin(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a53afd5e9a5ce60ef6cf7426f4998fed8',1,'arm_compute::wrapper::vpmin(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f1bc2edd11ddc6647c50e9f52ef64e5',1,'arm_compute::wrapper::vpmin(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab12ca96a30ec693404ee462fa9972441',1,'arm_compute::wrapper::vpmin(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
+  ['vpmin_5fimpl',['VPMIN_IMPL',['../pmin_8h.xhtml#af0531017308927dadbb17f06fce91676',1,'pmin.h']]],
+  ['vpow',['vpow',['../namespacearm__compute_1_1wrapper.xhtml#a566497df1ac44164eb8643f5d469afae',1,'arm_compute::wrapper']]],
+  ['vpow_5fimpl',['VPOW_IMPL',['../pow_8h.xhtml#a020af2fb395c60053430d32899a3920f',1,'pow.h']]],
   ['vpowq_5ff32',['vpowq_f32',['../namespacearm__compute.xhtml#aa6465367a67af2bae4ca46750231dae0',1,'arm_compute']]],
+  ['vqabs',['vqabs',['../namespacearm__compute_1_1wrapper.xhtml#ab568def82c6d63d62a6736692a0bf97b',1,'arm_compute::wrapper::vqabs(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#af639c9e81e3a5d57b1f1443da4503d77',1,'arm_compute::wrapper::vqabs(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab219f58f3a2dc02e7c8d3db795713bc2',1,'arm_compute::wrapper::vqabs(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aa19cbaeed1496296b1ea6e638541f1e9',1,'arm_compute::wrapper::vqabs(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ac1ce2ba81004fec53962d992d17eb67d',1,'arm_compute::wrapper::vqabs(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a13ac476fb950eb66f403ce700c6344da',1,'arm_compute::wrapper::vqabs(const int32x4_t &amp;a)']]],
+  ['vqabs_5fimpl',['VQABS_IMPL',['../abs_8h.xhtml#a19b8ccb67da1940e94c258c886c06f70',1,'abs.h']]],
+  ['vqadd',['vqadd',['../namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952',1,'arm_compute::wrapper::vqadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af965181ce04747ee66db6df4d874b950',1,'arm_compute::wrapper::vqadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afb5f5a2209cf45d306488d289d6054de',1,'arm_compute::wrapper::vqadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#acbe862c2646ecdf3849eff8bd570e5dc',1,'arm_compute::wrapper::vqadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a762716e74212d443b77d5bc95264a884',1,'arm_compute::wrapper::vqadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a789d9bb65ffa618b4675ebf422e96e94',1,'arm_compute::wrapper::vqadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a297de761eb0705e6059856e4a8e6e1d2',1,'arm_compute::wrapper::vqadd(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a72f70b1a6486a6f618c84d2d9c82668f',1,'arm_compute::wrapper::vqadd(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad7c46b130d392febff53d84a9b7bc567',1,'arm_compute::wrapper::vqadd(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abe0c6273a56abe65f9dcc46a4bd97bf9',1,'arm_compute::wrapper::vqadd(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af753dd3e0b525e5e0c058d52eee053c6',1,'arm_compute::wrapper::vqadd(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0e5010d0f62bd2a226b0372d2dcea8d3',1,'arm_compute::wrapper::vqadd(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a751d2fad3faaac0746d7c592a31d17d7',1,'arm_compute::wrapper::vqadd(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a820fc5b16f2d54dc9af247818404ca38',1,'arm_compute::wrapper::vqadd(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac33aa1b8ca7945804c5ca05939a878ad',1,'arm_compute::wrapper::vqadd(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1ca96f83ef1f8a5b8c24b21e0026acc2',1,'arm_compute::wrapper::vqadd(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a39bba706f09450defce7cb2b63a21301',1,'arm_compute::wrapper::vqadd(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a32bfd06741edea5bbf2b98302bb929e8',1,'arm_compute::wrapper::vqadd(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vqadd_5fimpl',['VQADD_IMPL',['../intrinsics_2add_8h.xhtml#a2e3b6cb0dffd73079a3744b20a54092e',1,'add.h']]],
   ['vqmovn',['vqmovn',['../namespacearm__compute_1_1wrapper.xhtml#a55bc37be5f14e4c561d3ca93b2a34aa9',1,'arm_compute::wrapper::vqmovn(const uint64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a7154843230482bb0b779d95621541003',1,'arm_compute::wrapper::vqmovn(const int64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a57941a547a0cfad979bd6b8fa9e030b7',1,'arm_compute::wrapper::vqmovn(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1128ee038af1aeb3df753bd4958e2009',1,'arm_compute::wrapper::vqmovn(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a03d244df122ac5030119baa1dfe319c6',1,'arm_compute::wrapper::vqmovn(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaca6eb034c8564ecc9b32f50e85349ea',1,'arm_compute::wrapper::vqmovn(const int16x8_t &amp;a)']]],
   ['vqmovn_5fimpl',['VQMOVN_IMPL',['../movn_8h.xhtml#a4e640f0a093f77b0eb886fd362592b55',1,'movn.h']]],
+  ['vquantize',['vquantize',['../namespacearm__compute.xhtml#a6554986624335b7c05f968342630f530',1,'arm_compute']]],
+  ['vrev64',['vrev64',['../namespacearm__compute_1_1wrapper.xhtml#aa7a641703a9c98932d775d915bf7a3e5',1,'arm_compute::wrapper::vrev64(const uint8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a0540a3dcbe54b53aa63f839d68489c8f',1,'arm_compute::wrapper::vrev64(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab00e48a754ea292c76df472860f58d41',1,'arm_compute::wrapper::vrev64(const uint16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a77b10f14845f83d937ac88959aee2f53',1,'arm_compute::wrapper::vrev64(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a7f8f72bda25ed0b65d693f610e85bd9d',1,'arm_compute::wrapper::vrev64(const uint32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a50ff385c1f05f515248bcf254c821594',1,'arm_compute::wrapper::vrev64(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#afd2b502712f706b76d2e8daa866d9755',1,'arm_compute::wrapper::vrev64(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3ff423602b2a8b90c171821634966821',1,'arm_compute::wrapper::vrev64(const uint8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#acd05ffb53527cc219bdd39cdf00d3b10',1,'arm_compute::wrapper::vrev64(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a965877a2762592da21615f712c80e078',1,'arm_compute::wrapper::vrev64(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a08eab42fbe6d87171c070fe0741637c0',1,'arm_compute::wrapper::vrev64(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a5bf14ce2affa893fff3415233391316e',1,'arm_compute::wrapper::vrev64(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9cc8db9abd0cf482e2215ac5a5912b81',1,'arm_compute::wrapper::vrev64(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaf40a436440668bca238d2c728ae7158',1,'arm_compute::wrapper::vrev64(const float32x4_t &amp;a)']]],
+  ['vrev64_5fimpl',['VREV64_IMPL',['../rev64_8h.xhtml#a2b435225cdcf3ef8b37163d1713e63b1',1,'rev64.h']]],
+  ['vsetlane',['vsetlane',['../namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061',1,'arm_compute::wrapper::vsetlane(const uint8_t value, const uint8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#affa58b394277f910e9ee3c74c1d92f4f',1,'arm_compute::wrapper::vsetlane(const int8_t value, const int8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0160f519b1fe681e083a2b43975e340e',1,'arm_compute::wrapper::vsetlane(const uint16_t value, const uint16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a289ff28c038d8d2f4f34bc77bf9d7337',1,'arm_compute::wrapper::vsetlane(const int16_t value, const int16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ab312ab1d815f0ab12b174aad45e73163',1,'arm_compute::wrapper::vsetlane(const uint32_t value, const uint32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a3e06d386c6840a2e151e9bb512116672',1,'arm_compute::wrapper::vsetlane(const int32_t value, const int32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad9d3b040097aabee689838e632cda0d8',1,'arm_compute::wrapper::vsetlane(const float value, const float32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad8d6919caaf76e0ccf623776d4f8ff11',1,'arm_compute::wrapper::vsetlane(const uint8_t value, const uint8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f433afab16132e121382bb146e7e5c8',1,'arm_compute::wrapper::vsetlane(const int8_t value, const int8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aa6e430a73e202fe5fe0c8d7144154f31',1,'arm_compute::wrapper::vsetlane(const uint16_t value, const uint16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aa73970167535f639cd8ddc192af4645b',1,'arm_compute::wrapper::vsetlane(const int16_t value, const int16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aee2ebe404fede9d44de77843aacef5e6',1,'arm_compute::wrapper::vsetlane(const uint32_t value, const uint32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0fb7bcbe12d35286550150bcfa7bd0c6',1,'arm_compute::wrapper::vsetlane(const int32_t value, const int32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ac7afef15d1a2161dd098cc72cbea32fe',1,'arm_compute::wrapper::vsetlane(const float value, const float32x4_t vector, const unsigned int lane)']]],
+  ['vsetlane_5fimpl_5f2',['VSETLANE_IMPL_2',['../setlane_8h.xhtml#acc6a2c802844ccf851c8c05d5f442a50',1,'setlane.h']]],
+  ['vsetlane_5fimpl_5f4',['VSETLANE_IMPL_4',['../setlane_8h.xhtml#ae98b2c562db44248be62b270e207a9d5',1,'setlane.h']]],
+  ['vsetlane_5fimpl_5f8',['VSETLANE_IMPL_8',['../setlane_8h.xhtml#a71aaab43da94f3ba1c715a066411960e',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f16',['VSETQLANE_IMPL_16',['../setlane_8h.xhtml#a4cd222120fb89be095e2ab224d279e45',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f4',['VSETQLANE_IMPL_4',['../setlane_8h.xhtml#a3788c6fe956c28499c7a85320577272f',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f8',['VSETQLANE_IMPL_8',['../setlane_8h.xhtml#ae8ae0c37fd3616c92db03637452aaa53',1,'setlane.h']]],
   ['vst',['vst',['../namespacearm__compute.xhtml#a3753b9d735032ba72e7df0c5cbba31a1',1,'arm_compute::vst(ptr_t&lt; uint8_t &gt; ptr, vec_8_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#aa17a7667769390f153ad5289d5390341',1,'arm_compute::vst(ptr_t&lt; uint8_t &gt; ptr, vec_16_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#acec5b4ba08b0ab7d080e2177e4b3deb1',1,'arm_compute::vst(ptr_t&lt; int8_t &gt; ptr, vec_8_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#ab2c29d96efc44a4163d8f594cd836d1e',1,'arm_compute::vst(ptr_t&lt; int8_t &gt; ptr, vec_16_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#a9893527df6922f85f0f3173142247ece',1,'arm_compute::vst(ptr_t&lt; uint16_t &gt; ptr, vec_8_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a090a9d8254580d7c22668e21e581d58e',1,'arm_compute::vst(ptr_t&lt; uint16_t &gt; ptr, vec_16_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a7a7441e9c3870a817f9084697730a0e9',1,'arm_compute::vst(ptr_t&lt; int16_t &gt; ptr, vec_8_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#ac9aedf36525da0e2306db27867c2bb5d',1,'arm_compute::vst(ptr_t&lt; int16_t &gt; ptr, vec_16_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#aa1e4aafb14bd8eee38caa7ad5db69507',1,'arm_compute::vst(ptr_t&lt; uint32_t &gt; ptr, vec_8_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#aca451511712482f55001063da2317427',1,'arm_compute::vst(ptr_t&lt; uint32_t &gt; ptr, vec_16_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#a59f96d9a74850a843c1f710803fe8de8',1,'arm_compute::vst(ptr_t&lt; int32_t &gt; ptr, vec_8_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a788c1fc3809f77d2866e4282d374770b',1,'arm_compute::vst(ptr_t&lt; int32_t &gt; ptr, vec_16_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a01cfd18ed87a496fc5d3be04a040be61',1,'arm_compute::vst(ptr_t&lt; float &gt; ptr, vec_8_byte_t&lt; float &gt; vec)'],['../namespacearm__compute.xhtml#abd25994f8abe7093700a88a65fdb6ad5',1,'arm_compute::vst(ptr_t&lt; float &gt; ptr, vec_16_byte_t&lt; float &gt; vec)']]],
-  ['vstore',['vstore',['../namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a256a55d40b65c0a2a22b3f64045716be',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2a18e2f73c6066ec4af6ff793dc854c',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#acbd85567ac69618d6ac0fe06fb72af44',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a65e75ff8f4d05960e50761a5a58dd386',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a01875212af1a5ab754c818415f8df88d',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ad417a154c619b3568b9eb97fc475a20c',1,'arm_compute::wrapper::vstore(float *ptr, float32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a23d6ee788a3fdc90cfe7455e6c567aa9',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a0a18c21e0fa9aea77c824091f2121f53',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a68347843dccc0dda3b8d96400782a1d4',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aea6948f7d0bf41e8db92807708860a81',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a03ba7288457603cf531d82704aae5115',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aefc551995598c813e0e9bd5a0a32821b',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a9d16581b2d731ab0217ba7bd77b573d8',1,'arm_compute::wrapper::vstore(float *ptr, float32x4_t val)'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54',1,'VSTORE():&#160;helpers.h']]],
+  ['vstore',['VSTORE',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54',1,'VSTORE():&#160;helpers.h'],['../namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a256a55d40b65c0a2a22b3f64045716be',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2a18e2f73c6066ec4af6ff793dc854c',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#acbd85567ac69618d6ac0fe06fb72af44',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a65e75ff8f4d05960e50761a5a58dd386',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a01875212af1a5ab754c818415f8df88d',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ad417a154c619b3568b9eb97fc475a20c',1,'arm_compute::wrapper::vstore(float *ptr, float32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a23d6ee788a3fdc90cfe7455e6c567aa9',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a0a18c21e0fa9aea77c824091f2121f53',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a68347843dccc0dda3b8d96400782a1d4',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aea6948f7d0bf41e8db92807708860a81',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a03ba7288457603cf531d82704aae5115',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aefc551995598c813e0e9bd5a0a32821b',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a9d16581b2d731ab0217ba7bd77b573d8',1,'arm_compute::wrapper::vstore(float *ptr, float32x4_t val)']]],
   ['vstore_5fimpl',['VSTORE_IMPL',['../store_8h.xhtml#aa3acf4387755a828f7f220975d5e6367',1,'store.h']]],
   ['vstore_5fstr',['VSTORE_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aeedcb2d8b4b0ce17747474d4da15f199',1,'helpers.h']]],
-  ['vsub',['vsub',['../namespacearm__compute.xhtml#ad0ebbe865e9e6cfd1b2df041f8374ed0',1,'arm_compute']]],
+  ['vsub',['vsub',['../namespacearm__compute_1_1wrapper.xhtml#acae4ec59246f93845fa78120d83d7c1e',1,'arm_compute::wrapper::vsub(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace6024107f3c7f23e71fb8f562b8d5c7',1,'arm_compute::wrapper::vsub(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a468586c56d3e28a0b1492191f93e3114',1,'arm_compute::wrapper::vsub(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a19c9afcb37c1acbc0ea0dca7d69cfecd',1,'arm_compute::wrapper::vsub(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a882d823737e7f02891f551b327f09018',1,'arm_compute::wrapper::vsub(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0ace7ee33e6139e6f4ff6b957491873e',1,'arm_compute::wrapper::vsub(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9929a9e0155db97ec6ace69ca9aa9285',1,'arm_compute::wrapper::vsub(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a55b34f6398f9cd94e56726cecceda89c',1,'arm_compute::wrapper::vsub(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aad4cc552d226849f40a3497d26210462',1,'arm_compute::wrapper::vsub(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a99988978e94a874acdba8d9c207a2ddc',1,'arm_compute::wrapper::vsub(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a34df49b41bb7529a2f645b8585b011a4',1,'arm_compute::wrapper::vsub(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aae7a048314067322874e692c4395b47d',1,'arm_compute::wrapper::vsub(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a52c4e22cefb4dfaacd4cc37abf11737b',1,'arm_compute::wrapper::vsub(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a381c61234684f00b9864d869c493977c',1,'arm_compute::wrapper::vsub(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a599bbc343ffe0caccd7bc63f704ed0bf',1,'arm_compute::wrapper::vsub(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6f1fc5cee6436ff4ccce4d621156b3',1,'arm_compute::wrapper::vsub(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa55414dc3d6ed3856a2c843eed3e2eb5',1,'arm_compute::wrapper::vsub(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8e554b12444e93f60796f1762e67edd7',1,'arm_compute::wrapper::vsub(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#ad0ebbe865e9e6cfd1b2df041f8374ed0',1,'arm_compute::vsub()']]],
+  ['vsub_5fimpl',['VSUB_IMPL',['../sub_8h.xhtml#a972032252169f4f0c8e346d93e559b41',1,'sub.h']]],
+  ['vtanh',['vtanh',['../namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0',1,'arm_compute::wrapper']]],
+  ['vtanh_5fimpl',['VTANH_IMPL',['../tanh_8h.xhtml#a92535f82febc323ae3b135cdf25617e6',1,'tanh.h']]],
   ['vtanhq_5ff32',['vtanhq_f32',['../namespacearm__compute.xhtml#a3e59419da344d02daca9c5b274a1da45',1,'arm_compute']]],
   ['vtaylor_5fpolyq_5ff32',['vtaylor_polyq_f32',['../namespacearm__compute.xhtml#a0c10bb00a86edd8d0cd4c33b494f6cd4',1,'arm_compute']]],
   ['vzero',['vzero',['../structarm__compute_1_1detail_1_1relu.xhtml#a457deb9a1852991a4fec651d7a4e5e09',1,'arm_compute::detail::relu::vzero()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a457deb9a1852991a4fec651d7a4e5e09',1,'arm_compute::detail::brelu::vzero()']]]
diff --git a/documentation/search/all_18.html b/documentation/search/all_18.html
index 069edeb..3dff8af 100644
--- a/documentation/search/all_18.html
+++ b/documentation/search/all_18.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_18.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_18.js b/documentation/search/all_18.js
index a9432c5..167b80e 100644
--- a/documentation/search/all_18.js
+++ b/documentation/search/all_18.js
@@ -1,7 +1,10 @@
 var searchData=
 [
+  ['w128',['W128',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0ba5d0626c5e2f6aee458121df2a9960a65',1,'arm_compute::wrapper::traits']]],
+  ['w64',['W64',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0ba9b84734fee03571d586d8700ce846006',1,'arm_compute::wrapper::traits']]],
   ['w_5fbits',['W_BITS',['../optical__flow__pyramid__lk_8cl.xhtml#aab6bf9cc4b300f72d07a2ebe9939f376',1,'optical_flow_pyramid_lk.cl']]],
   ['wait',['wait',['../classarm__compute_1_1_semaphore.xhtml#aa3b21853f890838c88d047d6c2786917',1,'arm_compute::Semaphore']]],
+  ['wait_5ffor_5freshaping',['wait_for_reshaping',['../classarm__compute_1_1_i_buffer_manager.xhtml#a81f45c176c40902f781fd3d9dc9bc8b4',1,'arm_compute::IBufferManager']]],
   ['wall_5fclock_5ftimer',['WALL_CLOCK_TIMER',['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005aabf534ee93a5bd6473d70f13a7414d92',1,'arm_compute::test::framework']]],
   ['wall_5fclock_5ftimestamps',['WALL_CLOCK_TIMESTAMPS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005a503aa8ac13b547591098b2ce77c28e99',1,'arm_compute::test::framework']]],
   ['wallclock',['WallClock',['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml',1,'WallClock&lt; output_timestamps &gt;'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a588aae70464654b78c5527ced6a670e5',1,'arm_compute::test::framework::WallClock::WallClock()']]],
@@ -24,10 +27,13 @@
   ['warpaffine_2eh',['WarpAffine.h',['../_warp_affine_8h.xhtml',1,'']]],
   ['warpperspective_2ecpp',['WarpPerspective.cpp',['../_c_l_2_warp_perspective_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_warp_perspective_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_warp_perspective_8cpp.xhtml',1,'(Global Namespace)']]],
   ['warpperspective_2eh',['WarpPerspective.h',['../_warp_perspective_8h.xhtml',1,'']]],
-  ['weights',['weights',['../classarm__compute_1_1_bounding_box_transform_info.xhtml#a8f456133a1d886f466a79264a10f42ea',1,'arm_compute::BoundingBoxTransformInfo']]],
+  ['weights',['weights',['../classarm__compute_1_1_bounding_box_transform_info.xhtml#a8f456133a1d886f466a79264a10f42ea',1,'arm_compute::BoundingBoxTransformInfo::weights()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0',1,'arm_compute::test::validation::weights()']]],
   ['weights_5finfo',['weights_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0',1,'arm_compute::test::validation']]],
+  ['weights_5fquantization_5finfo',['weights_quantization_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#afff44a0110c3767f144c9cb8e6f81625',1,'arm_compute::test::validation']]],
   ['weights_5freshape',['weights_reshape',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5a2c33b365f0043e15e2db448fa3eb38',1,'arm_compute::test::validation::reference::weights_reshape(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;biases, const TensorShape &amp;dst_shape, const unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0525545244e5dcca4676622297317241',1,'arm_compute::test::validation::reference::weights_reshape(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;biases, const TensorShape &amp;dst_shape, const unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae6b1f2785ef5769e8c5a74050defc2e3',1,'arm_compute::test::validation::reference::weights_reshape(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;biases, const TensorShape &amp;dst_shape, const unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af2252b2b9141963b5a7342f157a5ddf5',1,'arm_compute::test::validation::reference::weights_reshape(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;biases, const TensorShape &amp;dst_shape, const unsigned int num_groups)']]],
+  ['weights_5fshape',['weights_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8f0126f051c787279a8c9ee3c3a5d55',1,'arm_compute::test::validation']]],
   ['weights_5ftrained_5flayout',['weights_trained_layout',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a89d0ed86875fd3fb395899187c84bc2f',1,'arm_compute::FullyConnectedLayerInfo']]],
+  ['weights_5fvalid_5fregion',['weights_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#a38297b12b5b28c686788eaf2f05eaec8',1,'arm_compute::test::validation']]],
   ['weightsinfo',['WeightsInfo',['../classarm__compute_1_1_weights_info.xhtml',1,'WeightsInfo'],['../classarm__compute_1_1_weights_info.xhtml#a8bf46ce65f0f9cc0210774dfc60b4e2f',1,'arm_compute::WeightsInfo::WeightsInfo()'],['../classarm__compute_1_1_weights_info.xhtml#aa31155966d774759cdcab55b5c58f4d7',1,'arm_compute::WeightsInfo::WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height, unsigned int num_kernels, bool retain_internal_weights=false)']]],
   ['weightsreshape_2ecpp',['WeightsReshape.cpp',['../_c_l_2_weights_reshape_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_weights_reshape_8cpp.xhtml',1,'(Global Namespace)']]],
   ['weightsreshape_2eh',['WeightsReshape.h',['../_weights_reshape_8h.xhtml',1,'']]],
@@ -35,10 +41,10 @@
   ['what',['what',['../classarm__compute_1_1test_1_1framework_1_1_test_error.xhtml#abf843cbb29dec939d0731e491bab6f70',1,'arm_compute::test::framework::TestError']]],
   ['width',['width',['../classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec',1,'arm_compute::Size2D::width()'],['../structarm__compute_1_1_rectangle.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::Rectangle::width()'],['../structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::DetectionWindow::width()'],['../struct_detection_window.xhtml#a67fe5ca4d6c3f95bf649ef48fe3d221b',1,'DetectionWindow::width()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7f0f3e5dd09a150b2cc221c01804d1a7',1,'arm_compute::MultiImageInfo::width()'],['../classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c',1,'arm_compute::PyramidInfo::width()'],['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a7f0f3e5dd09a150b2cc221c01804d1a7',1,'arm_compute::utils::IImageLoader::width()'],['../namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195',1,'arm_compute::WIDTH()']]],
   ['width_5fpadding',['width_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#aff72626973dbadf0707b4a4f6c8550e4',1,'arm_compute::test::validation']]],
-  ['widthconcatenate_5flayer',['widthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7e49433a06e3b5354363b8b8b1b34d84',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a156c642189bcac16a85253ea54db408f',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d7c8bb2d0587650ce8c33d2c902089b',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab3d877abeb291d77c1c2731cb8617f65',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs)']]],
+  ['widthconcatenate_5flayer',['widthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07c7ad69ed55ef92ff2ce531fcd162d3',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs, SimpleTensor&lt; T &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2ce157acf472c0f34649ea948c43cfa2',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs, SimpleTensor&lt; float &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afbfdb6403f9e0f9def6c770667c81bf0',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs, SimpleTensor&lt; half &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac10d8fb6fc582b5d6eaab630e9c6e715',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs, SimpleTensor&lt; uint8_t &gt; &amp;dst)']]],
   ['widthconcatenatelayer_2ecpp',['WidthConcatenateLayer.cpp',['../_c_l_2_width_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_width_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_width_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['widthconcatenatelayer_2eh',['WidthConcatenateLayer.h',['../_width_concatenate_layer_8h.xhtml',1,'']]],
-  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'Window'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &amp;src)']]],
+  ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'Window'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &amp;src)'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()']]],
   ['window_2eh',['Window.h',['../_window_8h.xhtml',1,'']]],
   ['window_2einl',['Window.inl',['../_window_8inl.xhtml',1,'']]],
   ['window_5fdimension',['window_dimension',['../structarm__compute_1_1_optical_flow_parameters.xhtml#aca4f010655c8e5534162dfbfdce31d84',1,'arm_compute::OpticalFlowParameters']]],
@@ -48,12 +54,12 @@
   ['winograd',['Winograd',['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f',1,'arm_compute::graph::Winograd()'],['../namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da9d024a5762b3a992dec7eb3c49d17ae8',1,'arm_compute::WINOGRAD()']]],
   ['winograd_2ecpp',['Winograd.cpp',['../_c_l_2_winograd_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_winograd_8cpp.xhtml',1,'(Global Namespace)']]],
   ['winograd_2eh',['Winograd.h',['../_winograd_8h.xhtml',1,'']]],
-  ['winograd_5ffilter_5ftransform',['winograd_filter_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a359ae7b4283c585278edfbe82ec1f246',1,'arm_compute::test::validation::winograd_filter_transform()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae1720f2a51d1415a9c5afbf2a5c2749f',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad75aaeada9a22fadf0ba735bca1adcbc',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a45caafa00e54ed470a87a918cddd85ea',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
+  ['winograd_5ffilter_5ftransform',['winograd_filter_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae1720f2a51d1415a9c5afbf2a5c2749f',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad75aaeada9a22fadf0ba735bca1adcbc',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a45caafa00e54ed470a87a918cddd85ea',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
   ['winograd_5ffilter_5ftransform_2ecl',['winograd_filter_transform.cl',['../winograd__filter__transform_8cl.xhtml',1,'']]],
-  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation::winograd_info()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4cb8192e12f81018932779978c3788a',1,'arm_compute::test::validation::winograd_info(output_tile, Size2D(shape_in[0], shape_in[1]), Size2D(), PadStrideInfo(), data_layout)']]],
-  ['winograd_5finput_5ftransform',['winograd_input_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a065fb777c84f46f1c60b64b232a97a60',1,'arm_compute::test::validation::winograd_input_transform()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a09a73d5705389176ff8b7f95946dbc2d',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad4f10ed9128a31cdf47c9f81453c4d51',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
+  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation']]],
+  ['winograd_5finput_5ftransform',['winograd_input_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a09a73d5705389176ff8b7f95946dbc2d',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad4f10ed9128a31cdf47c9f81453c4d51',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
   ['winograd_5finput_5ftransform_2ecl',['winograd_input_transform.cl',['../winograd__input__transform_8cl.xhtml',1,'']]],
-  ['winograd_5foutput_5ftransform',['winograd_output_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#af0d686a775695bff3cd674e0f5674228',1,'arm_compute::test::validation::winograd_output_transform()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adacc73fb5c03e7a1273c0c81c8f8dad5',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f9f87c1fce2adf686c6afb5b4da3ce1',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aeede3ceb64d85268e08fb5d90ca99e85',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; half &gt; &amp;in, const SimpleTensor&lt; half &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
+  ['winograd_5foutput_5ftransform',['winograd_output_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adacc73fb5c03e7a1273c0c81c8f8dad5',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f9f87c1fce2adf686c6afb5b4da3ce1',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aeede3ceb64d85268e08fb5d90ca99e85',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; half &gt; &amp;in, const SimpleTensor&lt; half &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
   ['winograd_5foutput_5ftransform_2ecl',['winograd_output_transform.cl',['../winograd__output__transform_8cl.xhtml',1,'']]],
   ['winogradbase',['WinogradBase',['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#aa2895a99d9a1efae7844264931a0d348',1,'arm_compute::NEWinogradLayerTransformInputKernel::WinogradBase()'],['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#aa2895a99d9a1efae7844264931a0d348',1,'arm_compute::NEWinogradLayerConfiguration::WinogradBase()']]],
   ['winogradconv',['WinogradConv',['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#af17b2792d63e38a0eea385635191e836',1,'arm_compute::NEWinogradLayerTransformInputKernel::WinogradConv()'],['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#acd8461f7d784d4c09b73447f357e6b1a',1,'arm_compute::NEWinogradLayerConfiguration::WinogradConv()']]],
@@ -63,6 +69,7 @@
   ['workload_2ecpp',['Workload.cpp',['../_workload_8cpp.xhtml',1,'']]],
   ['workload_2eh',['Workload.h',['../_workload_8h.xhtml',1,'']]],
   ['wrap',['WRAP',['../namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6fae1c8555fcf0ea2bb648a6fd527d658c0',1,'arm_compute']]],
+  ['wrap_5faround',['wrap_around',['../namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4',1,'arm_compute']]],
   ['wrap_5fvalidate',['WRAP_VALIDATE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#a6c21e1e9072e5251356f8a97ffb7b98d',1,'PixelWiseMultiplication.cpp']]],
   ['wrapper_2eh',['wrapper.h',['../wrapper_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/all_19.html b/documentation/search/all_19.html
index 4fdfe46..22294bd 100644
--- a/documentation/search/all_19.html
+++ b/documentation/search/all_19.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_19.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1a.html b/documentation/search/all_1a.html
index 8c85d9d..7a81902 100644
--- a/documentation/search/all_1a.html
+++ b/documentation/search/all_1a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_1a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1b.html b/documentation/search/all_1b.html
index 80eb4bf..4c5f170 100644
--- a/documentation/search/all_1b.html
+++ b/documentation/search/all_1b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_1b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1b.js b/documentation/search/all_1b.js
index ac0b152..d1076fd 100644
--- a/documentation/search/all_1b.js
+++ b/documentation/search/all_1b.js
@@ -2,7 +2,7 @@
 [
   ['z',['z',['../structarm__compute_1_1_coordinates3_d.xhtml#ad81d8d7d582cb5752dbeab85e233603a',1,'arm_compute::Coordinates3D::z()'],['../classarm__compute_1_1_dimensions.xhtml#abb29a685080e999c2a0cb874d2f7bb5a',1,'arm_compute::Dimensions::z()'],['../classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf',1,'arm_compute::Window::z()']]],
   ['zeros',['zeros',['../namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; T &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab17c3c69a66d5ffed29f3aea46ef5d0d',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; float &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a709829132891ed783e63a5bc57ff4f80',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; half &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)']]],
-  ['zip',['zip',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab',1,'arm_compute::test::framework::dataset::zip()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b21582e176d7bf27d350e5a10e8e554',1,'arm_compute::test::validation::zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, true }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83c3f26a5c463cb91f9f39fc47fe02fd',1,'arm_compute::test::validation::zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) }), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(512U), 1, DataType::F16), TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(13U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, true, false, true, false }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94bf82577407bd38165f4e84c4c360a',1,'arm_compute::test::validation::zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(19U), 1, DataType::F16), TensorInfo(TensorShape(19U), 1, DataType::F32), TensorInfo(TensorShape(21U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 2, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false }))']]],
+  ['zip',['zip',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab',1,'arm_compute::test::framework::dataset::zip()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0',1,'arm_compute::test::validation::zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false}))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b21582e176d7bf27d350e5a10e8e554',1,'arm_compute::test::validation::zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, true }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83c3f26a5c463cb91f9f39fc47fe02fd',1,'arm_compute::test::validation::zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) }), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(512U), 1, DataType::F16), TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(13U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, true, false, true, false }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94bf82577407bd38165f4e84c4c360a',1,'arm_compute::test::validation::zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(19U), 1, DataType::F16), TensorInfo(TensorShape(19U), 1, DataType::F32), TensorInfo(TensorShape(21U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 2, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false }))']]],
   ['zipdataset',['ZipDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml',1,'ZipDataset&lt; T, U &gt;'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#af228d1e5cd68bd5085756622d761de1e',1,'arm_compute::test::framework::dataset::ZipDataset::ZipDataset(T &amp;&amp;dataset1, U &amp;&amp;dataset2)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a5e41b6d07e57d4b5f36c494122664069',1,'arm_compute::test::framework::dataset::ZipDataset::ZipDataset(ZipDataset &amp;&amp;)=default']]],
   ['zipdataset_2eh',['ZipDataset.h',['../_zip_dataset_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/all_1c.html b/documentation/search/all_1c.html
index d7e43ab..177e215 100644
--- a/documentation/search/all_1c.html
+++ b/documentation/search/all_1c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_1c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_1c.js b/documentation/search/all_1c.js
index b1e0e90..68ffeb3 100644
--- a/documentation/search/all_1c.js
+++ b/documentation/search/all_1c.js
@@ -8,9 +8,6 @@
   ['_7eclabsolutedifferencekernel',['~CLAbsoluteDifferenceKernel',['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4',1,'arm_compute::CLAbsoluteDifferenceKernel']]],
   ['_7eclaccessor',['~CLAccessor',['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558',1,'arm_compute::test::CLAccessor']]],
   ['_7eclactivationlayerkernel',['~CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04',1,'arm_compute::CLActivationLayerKernel']]],
-  ['_7eclarithmeticadditionkernel',['~CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a',1,'arm_compute::CLArithmeticAdditionKernel']]],
-  ['_7eclarithmeticdivisionkernel',['~CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aaafc0a9997bc9056b7e2380295845b08',1,'arm_compute::CLArithmeticDivisionKernel']]],
-  ['_7eclarithmeticsubtractionkernel',['~CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6',1,'arm_compute::CLArithmeticSubtractionKernel']]],
   ['_7eclarrayaccessor',['~CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309',1,'arm_compute::test::CLArrayAccessor']]],
   ['_7eclbatchnormalizationlayerkernel',['~CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a',1,'arm_compute::CLBatchNormalizationLayerKernel']]],
   ['_7eclbatchtospacelayerkernel',['~CLBatchToSpaceLayerKernel',['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7d732f47b911ef028720ac10eaf8d401',1,'arm_compute::CLBatchToSpaceLayerKernel']]],
@@ -20,6 +17,7 @@
   ['_7eclchannelshufflelayerkernel',['~CLChannelShuffleLayerKernel',['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a5f7c9ea68c5539bf65a3e1890a52eaa2',1,'arm_compute::CLChannelShuffleLayerKernel']]],
   ['_7eclcol2imkernel',['~CLCol2ImKernel',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a4551e8f874d80a480ba0e5f6ad1d256e',1,'arm_compute::CLCol2ImKernel']]],
   ['_7eclcolorconvertkernel',['~CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0',1,'arm_compute::CLColorConvertKernel']]],
+  ['_7eclcomparisonkernel',['~CLComparisonKernel',['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#af932cf60ff2f7c649c73f90efb48ead0',1,'arm_compute::CLComparisonKernel']]],
   ['_7eclcomputeallanchorskernel',['~CLComputeAllAnchorsKernel',['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8fbba7829a8210eb702546c1b403e599',1,'arm_compute::CLComputeAllAnchorsKernel']]],
   ['_7eclconvertfullyconnectedweightskernel',['~CLConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#abb671b2d9f848e444d9b224d53a8658b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel']]],
   ['_7eclcopytoarraykernel',['~CLCopyToArrayKernel',['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9',1,'arm_compute::CLCopyToArrayKernel']]],
@@ -31,11 +29,13 @@
   ['_7ecldevicebackend',['~CLDeviceBackend',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a27f45725c45a61e5a1f4650bd23e25c4',1,'arm_compute::graph::backends::CLDeviceBackend']]],
   ['_7ecldirectconvolutionlayerkernel',['~CLDirectConvolutionLayerKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_7ecldirectconvolutionlayeroutputstagekernel',['~CLDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#acb5d5116dc6d287ed1ba2b96ffcd9de6',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel']]],
+  ['_7eclelementwiseoperationkernel',['~CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a27ccbab68c78b7dd53f78fc60134f459',1,'arm_compute::CLElementwiseOperationKernel']]],
   ['_7eclfastcornerskernel',['~CLFastCornersKernel',['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999',1,'arm_compute::CLFastCornersKernel']]],
   ['_7eclfillborderkernel',['~CLFillBorderKernel',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ad22d0bc4356a4068c244952df68fd5c7',1,'arm_compute::CLFillBorderKernel']]],
   ['_7eclfloorkernel',['~CLFloorKernel',['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ad28ea1ad696bf40c73bb4a5e56a17cb2',1,'arm_compute::CLFloorKernel']]],
   ['_7eclfusebatchnormalization',['~CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a4ef3acaf1a24c82ddf0c49898ff051f0',1,'arm_compute::CLFuseBatchNormalization']]],
   ['_7eclfusebatchnormalizationkernel',['~CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#af69af06dfc5def5c07d9c1299907124b',1,'arm_compute::CLFuseBatchNormalizationKernel']]],
+  ['_7eclgatherkernel',['~CLGatherKernel',['../classarm__compute_1_1_c_l_gather_kernel.xhtml#acb3dc2f1af6827c91c3761f891959874',1,'arm_compute::CLGatherKernel']]],
   ['_7eclgaussianpyramid',['~CLGaussianPyramid',['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afafbe10da580ab0f3105947cb4a383ac',1,'arm_compute::CLGaussianPyramid']]],
   ['_7eclgaussianpyramidhorkernel',['~CLGaussianPyramidHorKernel',['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aff3525c5fcfeb85912814c1bbbaf0835',1,'arm_compute::CLGaussianPyramidHorKernel']]],
   ['_7eclgaussianpyramidvertkernel',['~CLGaussianPyramidVertKernel',['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abc1512876a55b624d62f83b64efde7dd',1,'arm_compute::CLGaussianPyramidVertKernel']]],
@@ -54,10 +54,13 @@
   ['_7eclpoolinglayerkernel',['~CLPoolingLayerKernel',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b',1,'arm_compute::CLPoolingLayerKernel']]],
   ['_7eclpriorboxlayerkernel',['~CLPriorBoxLayerKernel',['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ad7e1bd8f5adb2c10670a476f09445edf',1,'arm_compute::CLPriorBoxLayerKernel']]],
   ['_7eclquantizationlayerkernel',['~CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a161b70654b73f6ea4a849244037e44f2',1,'arm_compute::CLQuantizationLayerKernel']]],
+  ['_7eclrangekernel',['~CLRangeKernel',['../classarm__compute_1_1_c_l_range_kernel.xhtml#a4f920ed1f5fc9c5601e634ce0bb5349e',1,'arm_compute::CLRangeKernel']]],
   ['_7eclreductionoperationkernel',['~CLReductionOperationKernel',['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a41897f3ac6bba4829bc4d7e6e8966522',1,'arm_compute::CLReductionOperationKernel']]],
   ['_7eclreshapelayerkernel',['~CLReshapeLayerKernel',['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a58e8ad2f936f30f8b9338f2fadc3a869',1,'arm_compute::CLReshapeLayerKernel']]],
+  ['_7eclreversekernel',['~CLReverseKernel',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#ad6a7f513aae4dc230aa142e5f9f7fd7a',1,'arm_compute::CLReverseKernel']]],
   ['_7eclroialignlayerkernel',['~CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a51f7ffa8763b785685c949f54e299e81',1,'arm_compute::CLROIAlignLayerKernel']]],
   ['_7eclroipoolinglayerkernel',['~CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a53d9dab24d8a807311da1f9f1982bf5b',1,'arm_compute::CLROIPoolingLayerKernel']]],
+  ['_7eclselectkernel',['~CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml#a7377f19dd324778aa81b4badbf34610e',1,'arm_compute::CLSelectKernel']]],
   ['_7eclsobel3x3kernel',['~CLSobel3x3Kernel',['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a95501c3f5d09ada6ea151f08fff6d120',1,'arm_compute::CLSobel3x3Kernel']]],
   ['_7eclsobel5x5horkernel',['~CLSobel5x5HorKernel',['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a6c123393267557301f2549114112d414',1,'arm_compute::CLSobel5x5HorKernel']]],
   ['_7eclsobel5x5vertkernel',['~CLSobel5x5VertKernel',['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#ad88337f2cf8d90a2a9106d80c3807873',1,'arm_compute::CLSobel5x5VertKernel']]],
@@ -65,10 +68,12 @@
   ['_7eclsobel7x7vertkernel',['~CLSobel7x7VertKernel',['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7',1,'arm_compute::CLSobel7x7VertKernel']]],
   ['_7eclspacetobatchlayer',['~CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aca2631498d8a5041bc794e4d6a78f890',1,'arm_compute::CLSpaceToBatchLayer']]],
   ['_7eclspacetobatchlayerkernel',['~CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#aec90e410affbc5f218f87fd6ca0b869a',1,'arm_compute::CLSpaceToBatchLayerKernel']]],
+  ['_7eclstacklayerkernel',['~CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a4c84a3e30d19dbd4acf498cc5200f6fd',1,'arm_compute::CLStackLayerKernel']]],
   ['_7eclstridedslicekernel',['~CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a8e445e751c661bfd0fa9c44db41c1e7e',1,'arm_compute::CLStridedSliceKernel']]],
   ['_7eclsubtensor',['~CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617',1,'arm_compute::CLSubTensor']]],
   ['_7eclsubtensorhandle',['~CLSubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#aff3ddbf6f76a8b47654bf773377816b9',1,'arm_compute::graph::backends::CLSubTensorHandle']]],
   ['_7ecltensorhandle',['~CLTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a5bd6aa91a101491499a24df8e7e8a9d4',1,'arm_compute::graph::backends::CLTensorHandle']]],
+  ['_7ecltilekernel',['~CLTileKernel',['../classarm__compute_1_1_c_l_tile_kernel.xhtml#acb5a80ec55aaac1baf94b446ea81285c',1,'arm_compute::CLTileKernel']]],
   ['_7ecltuner',['~CLTuner',['../classarm__compute_1_1_c_l_tuner.xhtml#a577ac5b9d244bdf031905faaf08b968c',1,'arm_compute::CLTuner']]],
   ['_7eclupsamplelayer',['~CLUpsampleLayer',['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a711d862a07f6001d7bc42bec7e7d153b',1,'arm_compute::CLUpsampleLayer']]],
   ['_7eclupsamplelayerkernel',['~CLUpsampleLayerKernel',['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#ac80de10312e96e0e115095f9507fe151',1,'arm_compute::CLUpsampleLayerKernel']]],
@@ -84,9 +89,11 @@
   ['_7ecppcornercandidateskernel',['~CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907',1,'arm_compute::CPPCornerCandidatesKernel']]],
   ['_7ecppflipweightskernel',['~CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a386f532b4098af731e2d4cc21c953540',1,'arm_compute::CPPFlipWeightsKernel']]],
   ['_7ecpppermutekernel',['~CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab1ee61e7cba8829906926ec41213dfdc',1,'arm_compute::CPPPermuteKernel']]],
+  ['_7ecpptopkvkernel',['~CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aa71d71b48dc3b5e887a3acd7f2e1d928',1,'arm_compute::CPPTopKVKernel']]],
   ['_7ecppupsamplekernel',['~CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a54e158debdfed307691fef9de2124019',1,'arm_compute::CPPUpsampleKernel']]],
   ['_7edefaultnodevisitor',['~DefaultNodeVisitor',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml#a2038c0d9b4fcd76227f60e2e9292aaf2',1,'arm_compute::graph::DefaultNodeVisitor']]],
   ['_7eexample',['~Example',['../classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b',1,'arm_compute::utils::Example']]],
+  ['_7eexecutiontask',['~ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a9e67e3e10804eb3572c79b9accb62f02',1,'arm_compute::graph::ExecutionTask']]],
   ['_7efilehandler',['~FileHandler',['../classarm__compute_1_1io_1_1_file_handler.xhtml#af21f1ebc53f4b79a0cda634bef0a6137',1,'arm_compute::io::FileHandler']]],
   ['_7egcabsolutedifferencekernel',['~GCAbsoluteDifferenceKernel',['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aaef0d625a5772962805f2fa91e867326',1,'arm_compute::GCAbsoluteDifferenceKernel']]],
   ['_7egcaccessor',['~GCAccessor',['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a6f0e7701f5cd0a4c5891e79444846228',1,'arm_compute::test::GCAccessor']]],
@@ -107,7 +114,6 @@
   ['_7egctensorhandle',['~GCTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#aa5b7124d278f6cbf1d09cc2ed32c5459',1,'arm_compute::graph::backends::GCTensorHandle']]],
   ['_7egctensorshiftkernel',['~GCTensorShiftKernel',['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a448692e8332b0a7e4a783c70f3a62c0d',1,'arm_compute::GCTensorShiftKernel']]],
   ['_7egcweightsreshapekernel',['~GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a4472e61e5e14b25c7aebe4bd525c5ffe',1,'arm_compute::GCWeightsReshapeKernel']]],
-  ['_7egemmimplementation',['~GemmImplementation',['../classarm__gemm_1_1_gemm_implementation.xhtml#a20f2ae50219ab5cb63663ab3324ba56b',1,'arm_gemm::GemmImplementation']]],
   ['_7egemminterleaved',['~GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0ca149c067af4f39661ecce72734e0c5',1,'arm_gemm::GemmInterleaved']]],
   ['_7egraphcontext',['~GraphContext',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#afe3196b59fd8d1a37841d4988db3dc3e',1,'arm_compute::graph::GraphContext']]],
   ['_7ehoginfo',['~HOGInfo',['../classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa',1,'arm_compute::HOGInfo']]],
@@ -116,7 +122,9 @@
   ['_7eiallocator',['~IAllocator',['../classarm__compute_1_1_i_allocator.xhtml#a961a3c35d2c2652499f722ea14775122',1,'arm_compute::IAllocator']]],
   ['_7eiarray',['~IArray',['../classarm__compute_1_1_i_array.xhtml#acaeb87c4bcccaf15bb25bd2c8e44658a',1,'arm_compute::IArray']]],
   ['_7eiarrayaccessor',['~IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aab5e9c61ab48807226cd3187db35c9ba',1,'arm_compute::test::IArrayAccessor']]],
+  ['_7eibuffermanager',['~IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml#ab54ac3ba97d6d0c8ea479539c33b44b5',1,'arm_compute::IBufferManager']]],
   ['_7eiclarray',['~ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1',1,'arm_compute::ICLArray']]],
+  ['_7eiclgemmreshapedconfiguration',['~ICLGEMMReshapedConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml#a0b49f879edc0fbdd5b44d05038a4e5fe',1,'arm_compute::ICLGEMMReshapedConfiguration']]],
   ['_7eiclhog',['~ICLHOG',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2',1,'arm_compute::ICLHOG']]],
   ['_7eiclmemoryregion',['~ICLMemoryRegion',['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a04ae87317614a2332dea02ad30eaced5',1,'arm_compute::ICLMemoryRegion']]],
   ['_7eicloneable',['~ICloneable',['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a711fa7a27557369760fc1fd236deb51c',1,'arm_compute::misc::ICloneable']]],
@@ -190,15 +198,21 @@
   ['_7enedirectconvolutionlayeroutputstagekernel',['~NEDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a8f25d5c2ce83702200fc268fd9649426',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel']]],
   ['_7eneedgenonmaxsuppressionkernel',['~NEEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f',1,'arm_compute::NEEdgeNonMaxSuppressionKernel']]],
   ['_7eneedgetracekernel',['~NEEdgeTraceKernel',['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a63a533746b32a68c6ab1610c3a4823e6',1,'arm_compute::NEEdgeTraceKernel']]],
+  ['_7eneelementwiseoperationkernel',['~NEElementwiseOperationKernel',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a64919a3d8616028caff9cc55c995e638',1,'arm_compute::NEElementwiseOperationKernel']]],
+  ['_7eneelementwiseunarykernel',['~NEElementwiseUnaryKernel',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a8a80c8f36d195d1a11c876cefb67f6b1',1,'arm_compute::NEElementwiseUnaryKernel']]],
   ['_7enefillarraykernel',['~NEFillArrayKernel',['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a1885e2bee760c881e4d8bc5747bb3200',1,'arm_compute::NEFillArrayKernel']]],
   ['_7enefillborderkernel',['~NEFillBorderKernel',['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ac68288caf6a7f15d12519e1a12161983',1,'arm_compute::NEFillBorderKernel']]],
   ['_7enefillinnerborderkernel',['~NEFillInnerBorderKernel',['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a2a4252d6ad42d3828955547d4dce0c21',1,'arm_compute::NEFillInnerBorderKernel']]],
   ['_7eneflattenlayerkernel',['~NEFlattenLayerKernel',['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a653b42f4c59c12d9655c72a83a2d9e09',1,'arm_compute::NEFlattenLayerKernel']]],
+  ['_7enefusebatchnormalization',['~NEFuseBatchNormalization',['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a19c2c9ac94f0fd6cd26cded1a35dbbbd',1,'arm_compute::NEFuseBatchNormalization']]],
+  ['_7enefusebatchnormalizationkernel',['~NEFuseBatchNormalizationKernel',['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a39e886f3f2e90491654510f16847ae73',1,'arm_compute::NEFuseBatchNormalizationKernel']]],
+  ['_7enegatherkernel',['~NEGatherKernel',['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a65836be4ebc8446260438e3b36d0a876',1,'arm_compute::NEGatherKernel']]],
   ['_7enegaussianpyramid',['~NEGaussianPyramid',['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#af34c199e11afef4c68af773a9fd40150',1,'arm_compute::NEGaussianPyramid']]],
   ['_7enegaussianpyramidhorkernel',['~NEGaussianPyramidHorKernel',['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#aa5030ad8be9a77dadfd6bca436fd16ad',1,'arm_compute::NEGaussianPyramidHorKernel']]],
   ['_7enegaussianpyramidvertkernel',['~NEGaussianPyramidVertKernel',['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a335e126153ef3b664bf56c3e8ad143de',1,'arm_compute::NEGaussianPyramidVertKernel']]],
   ['_7enegemmassemblybasekernel',['~NEGEMMAssemblyBaseKernel',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ad96826abb992a84e363bef7624a30f9b',1,'arm_compute::NEGEMMAssemblyBaseKernel']]],
   ['_7enegemmassemblydispatch',['~NEGEMMAssemblyDispatch',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#afb179bf025365e643205f19818c0100a',1,'arm_compute::NEGEMMAssemblyDispatch']]],
+  ['_7enegemminterleavedwrapper',['~NEGEMMInterleavedWrapper',['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a17fb5ffe8b9afd93d3edbee2b65d0318',1,'arm_compute::NEGEMMInterleavedWrapper']]],
   ['_7enegemmmatrixaccumulatebiaseskernel',['~NEGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#af26cd032cee8d8d035b8d5e52422f397',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel']]],
   ['_7enegradientkernel',['~NEGradientKernel',['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#aec72e1144d2cb538834aa369232de727',1,'arm_compute::NEGradientKernel']]],
   ['_7enehistogramkernel',['~NEHistogramKernel',['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4983480fbaa765aea4052cf5c28bf60e',1,'arm_compute::NEHistogramKernel']]],
@@ -211,6 +225,7 @@
   ['_7enelogits1dsoftmaxkernel',['~NELogits1DSoftmaxKernel',['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab9491e58324e5d408cfaa93cfb7f8bb6',1,'arm_compute::NELogits1DSoftmaxKernel']]],
   ['_7enemagnitudephasekernel',['~NEMagnitudePhaseKernel',['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a1bd4859d9eadb11c47c40235e2b4d044',1,'arm_compute::NEMagnitudePhaseKernel']]],
   ['_7enemeanstddevkernel',['~NEMeanStdDevKernel',['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ad18b8df3b46973ddb4196f5b31ef5356',1,'arm_compute::NEMeanStdDevKernel']]],
+  ['_7enememsetkernel',['~NEMemsetKernel',['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ae02c4ea02967e0ffbfb7b926ee825a9f',1,'arm_compute::NEMemsetKernel']]],
   ['_7eneminmaxkernel',['~NEMinMaxKernel',['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a84d717a70410510f56d4ed3ac2db60b1',1,'arm_compute::NEMinMaxKernel']]],
   ['_7eneminmaxlayerkernel',['~NEMinMaxLayerKernel',['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#aa517db8efb13c3f64c91e7ce2de9c5e7',1,'arm_compute::NEMinMaxLayerKernel']]],
   ['_7eneminmaxlocationkernel',['~NEMinMaxLocationKernel',['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6ec01aa0ce619004282347747efb471e',1,'arm_compute::NEMinMaxLocationKernel']]],
@@ -220,17 +235,22 @@
   ['_7enepixelwisemultiplicationkernel',['~NEPixelWiseMultiplicationKernel',['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab299ab73ca304f9e10359a54a763f4d3',1,'arm_compute::NEPixelWiseMultiplicationKernel']]],
   ['_7enepoolinglayerkernel',['~NEPoolingLayerKernel',['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a3ce56b044278a877edbef5cff1768124',1,'arm_compute::NEPoolingLayerKernel']]],
   ['_7enequantizationlayerkernel',['~NEQuantizationLayerKernel',['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a0dcbebaa2af49b6b785329527a13e827',1,'arm_compute::NEQuantizationLayerKernel']]],
+  ['_7enerangekernel',['~NERangeKernel',['../classarm__compute_1_1_n_e_range_kernel.xhtml#aef59a9c88d3e923ec0874fc05e10f1e7',1,'arm_compute::NERangeKernel']]],
   ['_7enereductionoperationkernel',['~NEReductionOperationKernel',['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a5afc2a41b0f14471b4d358a79a1c10e3',1,'arm_compute::NEReductionOperationKernel']]],
   ['_7eneremapkernel',['~NERemapKernel',['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a6765950fc203ca7413dd78271664c779',1,'arm_compute::NERemapKernel']]],
   ['_7enereorglayerkernel',['~NEReorgLayerKernel',['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#abd84636b44d0f8109eed5bddbc065d15',1,'arm_compute::NEReorgLayerKernel']]],
+  ['_7enereversekernel',['~NEReverseKernel',['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a733d09ea91e4a1f5007b8b603558f744',1,'arm_compute::NEReverseKernel']]],
   ['_7eneroipoolinglayerkernel',['~NEROIPoolingLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a15aaaadedffa6445d6282c0b1f9005b3',1,'arm_compute::NEROIPoolingLayerKernel']]],
   ['_7enescalekernel',['~NEScaleKernel',['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a20422dd80d0c568f0c07730923a0d8d0',1,'arm_compute::NEScaleKernel']]],
   ['_7enescharr3x3kernel',['~NEScharr3x3Kernel',['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a40d29ef4a881c7f54f2c5ac7e59500fb',1,'arm_compute::NEScharr3x3Kernel']]],
+  ['_7eneselectkernel',['~NESelectKernel',['../classarm__compute_1_1_n_e_select_kernel.xhtml#a36a7c8b7ce7aa42aa636df782fca3156',1,'arm_compute::NESelectKernel']]],
   ['_7enesobel3x3kernel',['~NESobel3x3Kernel',['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#aff65aac9947b796380e33bc82a9795b5',1,'arm_compute::NESobel3x3Kernel']]],
   ['_7enesobel5x5horkernel',['~NESobel5x5HorKernel',['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9905eef5888d96ccddf9788adfadfcfb',1,'arm_compute::NESobel5x5HorKernel']]],
   ['_7enesobel5x5vertkernel',['~NESobel5x5VertKernel',['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#af8c29da1f0b11bd359b1574fbf86c1c8',1,'arm_compute::NESobel5x5VertKernel']]],
   ['_7enesobel7x7horkernel',['~NESobel7x7HorKernel',['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad4bba8f7619ade93cc4220dbcc72c35a',1,'arm_compute::NESobel7x7HorKernel']]],
   ['_7enesobel7x7vertkernel',['~NESobel7x7VertKernel',['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab4a932c9b556528a0de4fdf1afda7f8a',1,'arm_compute::NESobel7x7VertKernel']]],
+  ['_7enestacklayerkernel',['~NEStackLayerKernel',['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a57c57120bd65e89b16c6917c8c841602',1,'arm_compute::NEStackLayerKernel']]],
+  ['_7enestridedslicekernel',['~NEStridedSliceKernel',['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a5afcde753dfa40c775c4dd3a1ded3c86',1,'arm_compute::NEStridedSliceKernel']]],
   ['_7enesubtensorhandle',['~NESubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aa48a69a2b055209d7281f88cfb4b4ccc',1,'arm_compute::graph::backends::NESubTensorHandle']]],
   ['_7enetensorhandle',['~NETensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7ab0a61cbf616378316288ffde1b7e04',1,'arm_compute::graph::backends::NETensorHandle']]],
   ['_7enetransposekernel',['~NETransposeKernel',['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c',1,'arm_compute::NETransposeKernel']]],
diff --git a/documentation/search/all_2.html b/documentation/search/all_2.html
index 9543c57..4c33d85 100644
--- a/documentation/search/all_2.html
+++ b/documentation/search/all_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_2.js b/documentation/search/all_2.js
index 6495485..909e73c 100644
--- a/documentation/search/all_2.js
+++ b/documentation/search/all_2.js
@@ -1,6 +1,6 @@
 var searchData=
 [
-  ['a',['a',['../classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178',1,'arm_compute::ActivationLayerInfo::a()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79',1,'arm_compute::test::validation::a()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa7fc56270e7a70fa81a5935b72eacbe29',1,'arm_compute::A()']]],
+  ['a',['a',['../classarm__compute_1_1_activation_layer_info.xhtml#aec65e090c2276e8c8f8dffb6e3edd178',1,'arm_compute::ActivationLayerInfo::a()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa7fc56270e7a70fa81a5935b72eacbe29',1,'arm_compute::A()']]],
   ['a11',['A11',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#adde8ad2311dc11f75f5571a764c6af97',1,'arm_compute::CLCoefficientTable']]],
   ['a12',['A12',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a380c8116f7d47ce2367992bb986f9876',1,'arm_compute::CLCoefficientTable']]],
   ['a22',['A22',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29',1,'arm_compute::CLCoefficientTable']]],
@@ -10,7 +10,7 @@
   ['a32_5ftranspose_5finterleave_5f8way_5f32bit_2ehpp',['a32_transpose_interleave_8way_32bit.hpp',['../a32__transpose__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['a53',['A53',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4aecf3e2493afebcfefb0b9b86bd50ef0d',1,'arm_compute']]],
   ['a53_2ecpp',['a53.cpp',['../a32__sgemm__8x6_2a53_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a53_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['a55_2ecpp',['a55.cpp',['../a55_8cpp.xhtml',1,'']]],
+  ['a55_2ecpp',['a55.cpp',['../a64__hybrid__s8s32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55_8cpp.xhtml',1,'(Global Namespace)']]],
   ['a55r0',['A55r0',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4a33f91a7ec1c6be774d71fcd00ac81c92',1,'arm_compute']]],
   ['a55r1',['A55r1',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4a2f2d74257db975404ff4ca97ce1e0bca',1,'arm_compute']]],
   ['a55r1_2ecpp',['a55r1.cpp',['../a32__sgemm__8x6_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -22,21 +22,27 @@
   ['a64_5fgemm_5fu8_5f12x8_2ehpp',['a64_gemm_u8_12x8.hpp',['../a64__gemm__u8__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fgemm_5fu8_5f4x4_2ehpp',['a64_gemm_u8_4x4.hpp',['../a64__gemm__u8__4x4_8hpp.xhtml',1,'']]],
   ['a64_5fhgemm_5f24x8_2ehpp',['a64_hgemm_24x8.hpp',['../a64__hgemm__24x8_8hpp.xhtml',1,'']]],
+  ['a64_5fhybrid_5fs8s32_5fdot_5f16x4_2ehpp',['a64_hybrid_s8s32_dot_16x4.hpp',['../a64__hybrid__s8s32__dot__16x4_8hpp.xhtml',1,'']]],
+  ['a64_5fhybrid_5fu8u32_5fdot_5f16x4_2ehpp',['a64_hybrid_u8u32_dot_16x4.hpp',['../a64__hybrid__u8u32__dot__16x4_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5f16bit_2ehpp',['a64_interleave_8way_16bit.hpp',['../a64__interleave__8way__16bit_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5f32bit_2ehpp',['a64_interleave_8way_32bit.hpp',['../a64__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5fhalf_5fto_5ffloat_2ehpp',['a64_interleave_8way_half_to_float.hpp',['../a64__interleave__8way__half__to__float_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5ffloat_5f12x8_2ehpp',['a64_merge_float_12x8.hpp',['../a64__merge__float__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5ffloat_5fto_5fhalf_5f12x8_2ehpp',['a64_merge_float_to_half_12x8.hpp',['../a64__merge__float__to__half__12x8_8hpp.xhtml',1,'']]],
+  ['a64_5fmerge_5ffp32_5f12x8_2ehpp',['a64_merge_fp32_12x8.hpp',['../a64__merge__fp32__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5fhalf_5f24x8_2ehpp',['a64_merge_half_24x8.hpp',['../a64__merge__half__24x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5fint32_5f12x8_2ehpp',['a64_merge_int32_12x8.hpp',['../a64__merge__int32__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fsgemm_5f12x8_2ehpp',['a64_sgemm_12x8.hpp',['../a64__sgemm__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fsgemm_5fnative_5f16x4_2ehpp',['a64_sgemm_native_16x4.hpp',['../a64__sgemm__native__16x4_8hpp.xhtml',1,'']]],
+  ['a64_5fsgemm_5fnativea_5fpretransposeb_5f16x4_2ehpp',['a64_sgemm_nativeA_pretransposeB_16x4.hpp',['../a64__sgemm__native_a__pretranspose_b__16x4_8hpp.xhtml',1,'']]],
   ['a64_5fsgemv_5fpretransposed_2ehpp',['a64_sgemv_pretransposed.hpp',['../a64__sgemv__pretransposed_8hpp.xhtml',1,'']]],
   ['a64_5fsgemv_5ftrans_2ehpp',['a64_sgemv_trans.hpp',['../a64__sgemv__trans_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5f16bit_2ehpp',['a64_transpose_interleave_12way_16bit.hpp',['../a64__transpose__interleave__12way__16bit_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5fhalf_5fto_5ffloat_2ehpp',['a64_transpose_interleave_12way_half_to_float.hpp',['../a64__transpose__interleave__12way__half__to__float_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f24way_5f16bit_2ehpp',['a64_transpose_interleave_24way_16bit.hpp',['../a64__transpose__interleave__24way__16bit_8hpp.xhtml',1,'']]],
   ['abs',['ABS',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c',1,'arm_compute::ActivationLayerInfo']]],
+  ['abs_2eh',['abs.h',['../abs_8h.xhtml',1,'']]],
+  ['abs_5fdiff',['abs_diff',['../namespacearm__compute_1_1test_1_1validation.xhtml#af25a92263ec1a123d1377e01792ef461',1,'arm_compute::test::validation']]],
   ['absdiff',['absdiff',['../absdiff_8cl.xhtml#abd1c22f3b8c5d2d0a1de36f45c38b88f',1,'absdiff.cl']]],
   ['absdiff_2ecl',['absdiff.cl',['../absdiff_8cl.xhtml',1,'']]],
   ['absolute_5fdifference',['absolute_difference',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4be63f36f5a22cb9f23c4ad003998c83',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab072e4246c7e802843a8d65ba4351dd0',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb49abe2b0391bf36a561dff9130f07d',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acbda304aed5292da9c067c4e3fd99b20',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type)']]],
@@ -44,8 +50,8 @@
   ['absolutedifference_2eh',['AbsoluteDifference.h',['../_absolute_difference_8h.xhtml',1,'']]],
   ['absolutetolerance',['AbsoluteTolerance',['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml',1,'AbsoluteTolerance&lt; T &gt;'],['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a98a801b3455152020b7543995eeb3224',1,'arm_compute::test::validation::AbsoluteTolerance::AbsoluteTolerance()=default'],['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a0856d709c655f740d93b50e9121a7aa3',1,'arm_compute::test::validation::AbsoluteTolerance::AbsoluteTolerance(T value)']]],
   ['absolutetolerance_3c_20u_20_3e',['AbsoluteTolerance&lt; U &gt;',['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml',1,'arm_compute::test::validation']]],
-  ['accept',['accept',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a',1,'arm_compute::graph::INode::accept()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ActivationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BatchNormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BoundingBoxTransformLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ChannelShuffleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConcatenateLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConstNode::accept()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DeconvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DummyNode::accept()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::EltwiseLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FlattenLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FullyConnectedLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::GenerateProposalsLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::InputNode::accept()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::OutputNode::accept()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PadLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PermuteLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PoolingLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PriorBoxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReorgLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReshapeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ResizeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ROIAlignLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SliceLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SoftmaxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SplitLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::UpsampleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::YOLOLayerNode::accept()']]],
-  ['access_5ftensor',['access_tensor',['../classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665',1,'arm_compute::graph::ITensorAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::PPMWriter::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DummyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ImageAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationInputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::TopNPredictionsAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::RandomAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyBinLoader::access_tensor()']]],
+  ['accept',['accept',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a',1,'arm_compute::graph::INode::accept()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ActivationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BatchNormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BoundingBoxTransformLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ChannelShuffleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConcatenateLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConstNode::accept()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DeconvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DetectionOutputLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DummyNode::accept()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::EltwiseLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FlattenLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FullyConnectedLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::GenerateProposalsLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::InputNode::accept()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::OutputNode::accept()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PadLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PermuteLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PoolingLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PriorBoxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReorgLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReshapeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ResizeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ROIAlignLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SliceLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SoftmaxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SplitLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::UpsampleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::YOLOLayerNode::accept()']]],
+  ['access_5ftensor',['access_tensor',['../classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665',1,'arm_compute::graph::ITensorAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::PPMWriter::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DummyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ImageAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationInputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DetectionOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::TopNPredictionsAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::RandomAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyBinLoader::access_tensor()']]],
   ['accessor',['Accessor',['../classarm__compute_1_1test_1_1_accessor.xhtml',1,'Accessor'],['../classarm__compute_1_1graph_1_1_tensor.xhtml#a761495426edf3b875f67a8f4c3a199b5',1,'arm_compute::graph::Tensor::accessor()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5',1,'arm_compute::test::Accessor::Accessor(Tensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a1dc30c7bdc2d650f29ed45ec5110a0c6',1,'arm_compute::test::Accessor::Accessor(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ae15e08764c8bb788c6b275244e0f3205',1,'arm_compute::test::Accessor::Accessor(Accessor &amp;&amp;)=default']]],
   ['accessor_2eh',['Accessor.h',['../_accessor_8h.xhtml',1,'']]],
   ['accesswindowautopadding',['AccessWindowAutoPadding',['../classarm__compute_1_1_access_window_auto_padding.xhtml',1,'AccessWindowAutoPadding'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(ITensorInfo *info)'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#ae196752aa67bd2acb53c83b48f22dcce',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(AccessWindowAutoPadding &amp;&amp;)=default']]],
@@ -61,6 +67,8 @@
   ['accesswindowtranspose_2eh',['AccessWindowTranspose.h',['../_access_window_transpose_8h.xhtml',1,'']]],
   ['accesswindowvertical',['AccessWindowVertical',['../classarm__compute_1_1_access_window_vertical.xhtml',1,'AccessWindowVertical'],['../classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d',1,'arm_compute::AccessWindowVertical::AccessWindowVertical()']]],
   ['accum_5fprocess_5f4x',['ACCUM_PROCESS_4X',['../_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.xhtml#a1662de6128d240b3112d483269a38c12',1,'GCGEMMMatrixAccumulateBiasesKernel.cpp']]],
+  ['accum_5fsquare',['accum_square',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15a5f52bac449d7f04e57c59f331e085',1,'arm_compute::test::validation']]],
+  ['accum_5fweight',['accum_weight',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad70dd3678501cef96cadd2251870d924',1,'arm_compute::test::validation']]],
   ['accumulate',['accumulate',['../accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514',1,'accumulate():&#160;accumulate.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a48e7832f8e28c3f7fc0ded12467f8bb0',1,'arm_compute::test::validation::reference::accumulate(const SimpleTensor&lt; T1 &gt; &amp;src, DataType output_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5f825c8e50b0cdee9153f49a17e1ecb9',1,'arm_compute::test::validation::reference::accumulate(const SimpleTensor&lt; uint8_t &gt; &amp;src, DataType output_data_type)']]],
   ['accumulate_2ecl',['accumulate.cl',['../accumulate_8cl.xhtml',1,'']]],
   ['accumulate_2ecpp',['Accumulate.cpp',['../_c_l_2_accumulate_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_accumulate_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_accumulate_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -68,13 +76,16 @@
   ['accumulate_5fsquared',['accumulate_squared',['../accumulate_8cl.xhtml#aa6efbf07a1932e211879a0df54e9f50f',1,'accumulate_squared():&#160;accumulate.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9668e0633026b0281b1d2f01226cabf0',1,'arm_compute::test::validation::reference::accumulate_squared(const SimpleTensor&lt; T1 &gt; &amp;src, uint32_t shift, DataType output_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a158ea97c295a1672d7a7d09afdf90307',1,'arm_compute::test::validation::reference::accumulate_squared(const SimpleTensor&lt; uint8_t &gt; &amp;src, uint32_t shift, DataType output_data_type)']]],
   ['accumulate_5fweighted',['accumulate_weighted',['../accumulate_8cl.xhtml#ab64020e40663a4356d6037079d7292fb',1,'accumulate_weighted():&#160;accumulate.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a80107badc51d92c79886955f52c61a1b',1,'arm_compute::test::validation::reference::accumulate_weighted(const SimpleTensor&lt; T1 &gt; &amp;src, float alpha, DataType output_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a96aec9e46985dbfdc79566407d8ad793',1,'arm_compute::test::validation::reference::accumulate_weighted(const SimpleTensor&lt; uint8_t &gt; &amp;src, float alpha, DataType output_data_type)']]],
   ['acquire',['acquire',['../classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6',1,'arm_compute::BlobMemoryPool::acquire()'],['../classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea',1,'arm_compute::IMemoryGroup::acquire()'],['../classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f',1,'arm_compute::IMemoryPool::acquire()'],['../classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba',1,'arm_compute::MemoryGroupBase::acquire()'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6',1,'arm_compute::OffsetMemoryPool::acquire()']]],
+  ['act_5finfo',['act_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1',1,'arm_compute::test::validation']]],
   ['activate_5ffloat',['activate_float',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7a20c17062ce636db94d101bb3f01a0e',1,'arm_compute::test::validation::reference']]],
   ['activation',['activation',['../classarm__compute_1_1_activation_layer_info.xhtml#a9e0fb1d1462557f28966ae19988532c2',1,'arm_compute::ActivationLayerInfo::activation()'],['../namespacearm__compute_1_1graph.xhtml#a5f9016ea3e28a033b7cc216bdda912be',1,'arm_compute::graph::Activation()']]],
+  ['activation_5ffunc',['ACTIVATION_FUNC',['../winograd__output__transform_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9',1,'winograd_output_transform.cl']]],
   ['activation_5fhelpers_2eh',['activation_helpers.h',['../activation__helpers_8h.xhtml',1,'']]],
   ['activation_5finfo',['activation_info',['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818',1,'arm_compute::graph::ActivationLayerNode::activation_info()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818',1,'arm_compute::graph::YOLOLayerNode::activation_info()']]],
   ['activation_5flayer',['activation_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4512d2774e329c7d4ed7426a8caa22ce',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; T &gt; &amp;src, ActivationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab45edd626ed376e74792b87d59ac7913',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; float &gt; &amp;src, ActivationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af2f52d261a58bf104da93a90f0171c34',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; half &gt; &amp;src, ActivationLayerInfo info)']]],
   ['activation_5flayer_2ecl',['activation_layer.cl',['../activation__layer_8cl.xhtml',1,'']]],
   ['activation_5flayer_3c_20uint8_5ft_20_3e',['activation_layer&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a40d48c83ab729abc2906a6eaa2edb81f',1,'arm_compute::test::validation::reference']]],
+  ['activation_5flayer_5flogistic_5fqa8',['activation_layer_logistic_qa8',['../activation__layer__qa8_8cl.xhtml#a50bf6cff7ebeaf08c0ec368a07e147df',1,'activation_layer_qa8.cl']]],
   ['activation_5flayer_5fqa8_2ecl',['activation_layer_qa8.cl',['../activation__layer__qa8_8cl.xhtml',1,'']]],
   ['activation_5fop',['ACTIVATION_OP',['../activation__layer__qa8_8cl.xhtml#a5a310089a4e6b6de57a075a9bd4ced82',1,'activation_layer_qa8.cl']]],
   ['activation_5fop2',['ACTIVATION_OP2',['../activation__layer__qa8_8cl.xhtml#ab13ec269b92f52bb2f1f6dcf12956704',1,'activation_layer_qa8.cl']]],
@@ -87,8 +98,8 @@
   ['activationlayernode_2ecpp',['ActivationLayerNode.cpp',['../_activation_layer_node_8cpp.xhtml',1,'']]],
   ['activationlayernode_2eh',['ActivationLayerNode.h',['../_activation_layer_node_8h.xhtml',1,'']]],
   ['active',['ACTIVE',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba18ff74f43da410c5529f7d6fca84f115',1,'arm_compute::test::framework::TestCaseFactory']]],
-  ['add',['add',['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9',1,'arm_compute::test::framework::Profiler::add()'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1',1,'arm_compute::test::TensorCache::add(std::tuple&lt; const std::string &amp;, Format &gt; key, RawTensor raw)'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a8a342abc82aa86a51f668dd6a7f89934',1,'arm_compute::test::TensorCache::add(std::tuple&lt; const std::string &amp;, Format, Channel &gt; key, RawTensor raw)'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9',1,'arm_compute::graph::Add()'],['../arithmetic__op_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;arithmetic_op.cl'],['../arithmetic__op__quantized_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;arithmetic_op_quantized.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::test::validation::reference::ADD()']]],
-  ['add_2eh',['add.h',['../add_8h.xhtml',1,'']]],
+  ['add',['add',['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9',1,'arm_compute::test::framework::Profiler::add()'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1',1,'arm_compute::test::TensorCache::add(std::tuple&lt; const std::string &amp;, Format &gt; key, RawTensor raw)'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a8a342abc82aa86a51f668dd6a7f89934',1,'arm_compute::test::TensorCache::add(std::tuple&lt; const std::string &amp;, Format, Channel &gt; key, RawTensor raw)'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9',1,'arm_compute::graph::Add()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb58b6d1d2220b217478eb206de180c8',1,'arm_compute::test::validation::add()'],['../elementwise__operation_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::ADD()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::test::validation::reference::ADD()']]],
+  ['add_2eh',['add.h',['../intrinsics_2add_8h.xhtml',1,'(Global Namespace)'],['../scalar_2add_8h.xhtml',1,'(Global Namespace)']]],
   ['add_5f1d_5farray_5fargument',['add_1D_array_argument',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20',1,'arm_compute::ICLKernel']]],
   ['add_5f1d_5ftensor_5fargument',['add_1D_tensor_argument',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7',1,'arm_compute::ICLKernel::add_1D_tensor_argument()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded',1,'arm_compute::IGCKernel::add_1D_tensor_argument()']]],
   ['add_5f2d_5ftensor_5fargument',['add_2D_tensor_argument',['../classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb',1,'arm_compute::ICLKernel::add_2D_tensor_argument()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66',1,'arm_compute::IGCKernel::add_2D_tensor_argument()']]],
@@ -109,7 +120,8 @@
   ['add_5fdata_5ftest_5fcase',['add_data_test_case',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654',1,'arm_compute::test::framework::Framework']]],
   ['add_5fdeconvolution_5fnode',['add_deconvolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1bdbfd685e3b270aa4e80ddd655de692',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fdecorator',['add_decorator',['../classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d',1,'arm_compute::logging::Logger']]],
-  ['add_5fdepthwise_5fconvolution_5fnode',['add_depthwise_convolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a65107cd0cd29562a65d5db3233ff1bcd',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fdepthwise_5fconvolution_5fnode',['add_depthwise_convolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2b362057b57528432ab4aa8f6538cabf',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fdetection_5foutput_5fnode',['add_detection_output_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a6bd3ea8226e51ae6810263f6fffe5f6e',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fdummy_5fnode',['add_dummy_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5felementwise_5fnode',['add_elementwise_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fflatten_5fnode',['add_flatten_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad',1,'arm_compute::graph::GraphBuilder']]],
@@ -139,6 +151,7 @@
   ['add_5freshape_5fnode',['add_reshape_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fresize_5fnode',['add_resize_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5froi_5falign_5fnode',['add_roi_align_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fsat',['add_sat',['../namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79',1,'arm_compute::wrapper::add_sat(const uint8_t &amp;a, const uint8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8a782c9af673065e72ac33de6a95cb49',1,'arm_compute::wrapper::add_sat(const int16_t &amp;a, const int16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a350f25870874602bdc7de9630397bdd0',1,'arm_compute::wrapper::add_sat(const float &amp;a, const float &amp;b)']]],
   ['add_5fscale_5flayer',['add_scale_layer',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fslice_5fnode',['add_slice_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fsoftmax_5fnode',['add_softmax_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5',1,'arm_compute::graph::GraphBuilder']]],
@@ -155,7 +168,7 @@
   ['algorithms_2eh',['Algorithms.h',['../_algorithms_8h.xhtml',1,'']]],
   ['align',['align',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a9e51e04e3f86c823883757ef22d4f39a',1,'arm_compute::support::cpp11']]],
   ['align_5fcolumns',['align_columns',['../structarm__compute_1_1_i_o_format_info.xhtml#a1d81fe110d5dcac79dd73a532015bb94',1,'arm_compute::IOFormatInfo']]],
-  ['alignment',['alignment',['../classarm__compute_1_1_i_tensor_allocator.xhtml#a32899157b4898866a4a58440f2f7b13f',1,'arm_compute::ITensorAllocator']]],
+  ['alignment',['alignment',['../structarm__compute_1_1_blob_info.xhtml#a3afda29223eeda35afd21a6c5e121ba2',1,'arm_compute::BlobInfo::alignment()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a32899157b4898866a4a58440f2f7b13f',1,'arm_compute::ITensorAllocator::alignment()']]],
   ['all',['ALL',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005a5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()']]],
   ['all_5finputs_5fare_5fvisited',['all_inputs_are_visited',['../namespacearm__compute_1_1graph_1_1detail.xhtml#ae668406fdc43b21e5dcb3904fa683ea0',1,'arm_compute::graph::detail']]],
   ['alloc_5fround',['ALLOC_ROUND',['../gemm__interleaved_8hpp.xhtml#abd1ded15e3688096ead983e87f83fbd1',1,'gemm_interleaved.hpp']]],
@@ -167,7 +180,7 @@
   ['allocator',['Allocator',['../classarm__compute_1_1_allocator.xhtml',1,'Allocator'],['../classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07',1,'arm_compute::Allocator::Allocator()'],['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a8725ea3110284d80b57a98c2cdf7a995',1,'arm_compute::graph::MemoryManagerContext::allocator()'],['../classarm__compute_1_1_c_l_lut.xhtml#a7c28e4f8f5133ed91f40248df4ce5d08',1,'arm_compute::CLLut::allocator()'],['../classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108',1,'arm_compute::CLTensor::allocator()'],['../classarm__compute_1_1_g_c_tensor.xhtml#a44d1d7d909047fe63f5f6c11a9849986',1,'arm_compute::GCTensor::allocator()'],['../classarm__compute_1_1_lut.xhtml#a7c28e4f8f5133ed91f40248df4ce5d08',1,'arm_compute::Lut::allocator()'],['../classarm__compute_1_1_tensor.xhtml#adbd0cf83a8e1b335a9bf405a8e5019fa',1,'arm_compute::Tensor::allocator()']]],
   ['allocator_2ecpp',['Allocator.cpp',['../_allocator_8cpp.xhtml',1,'']]],
   ['allocator_2eh',['Allocator.h',['../_allocator_8h.xhtml',1,'']]],
-  ['alpha',['alpha',['../classarm__compute_1_1_normalization_layer_info.xhtml#a418f33d41dc0830534ee590a162a10e3',1,'arm_compute::NormalizationLayerInfo::alpha()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62197192f0fbf4e0675eb37be1c4c175',1,'arm_compute::test::validation::alpha()']]],
+  ['alpha',['alpha',['../classarm__compute_1_1_normalization_layer_info.xhtml#a418f33d41dc0830534ee590a162a10e3',1,'arm_compute::NormalizationLayerInfo::alpha()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b',1,'arm_compute::test::validation::alpha()']]],
   ['anchor',['anchor',['../structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7',1,'arm_compute::ValidRegion']]],
   ['and_2eh',['and.h',['../and_8h.xhtml',1,'']]],
   ['angle_5fwrap_5fvalue',['angle_wrap_value',['../namespacearm__compute_1_1logging.xhtml#a369e0192e9a39349e4f7b8eca465ac60',1,'arm_compute::logging']]],
@@ -182,17 +195,16 @@
   ['are_5freshaped',['are_reshaped',['../classarm__compute_1_1_weights_info.xhtml#a54a5271cc6a1b58827a9b3f58ec5ba56',1,'arm_compute::WeightsInfo']]],
   ['are_5fweights_5freshaped',['are_weights_reshaped',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc',1,'arm_compute::FullyConnectedLayerInfo']]],
   ['area',['area',['../classarm__compute_1_1_size2_d.xhtml#a75026dc1fa3840404ae4553010efcd52',1,'arm_compute::Size2D::area()'],['../namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a639aaa22a784d5e5cb03a522267e79c4',1,'arm_compute::AREA()']]],
-  ['arithmetic_5fdiv',['arithmetic_div',['../arithmetic__op_8cl.xhtml#a4bdb5542734912e416f2edfec1ed815a',1,'arithmetic_op.cl']]],
+  ['arg_5fidx_5fmax',['ARG_IDX_MAX',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba654fed6e9b6c154d04bcaa439e32d0d5',1,'arm_compute']]],
+  ['arg_5fidx_5fmin',['ARG_IDX_MIN',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba39102811589b9a0d7a6aa8721663b4d1',1,'arm_compute']]],
+  ['argminmax_2ecpp',['ArgMinMax.cpp',['../_c_l_2_arg_min_max_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_arg_min_max_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmetic_5fdivision',['arithmetic_division',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad3ab69a504e69097ee96b458cb26e011',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1729a8530c6b38895574c9a2eebc6f05',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae6fc7ed5c0825af21afdcff5b3123ab5',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType data_type)']]],
-  ['arithmetic_5fop_2ecl',['arithmetic_op.cl',['../arithmetic__op_8cl.xhtml',1,'']]],
-  ['arithmetic_5fop_5fquantized_2ecl',['arithmetic_op_quantized.cl',['../arithmetic__op__quantized_8cl.xhtml',1,'']]],
-  ['arithmetic_5foperation',['arithmetic_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9af191573bdcb8e1b0be4b10ba5954',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, SimpleTensor&lt; T &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab62fc402bd31dac7ecc11e0e552a5677',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, SimpleTensor&lt; uint8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0831e2e20c18485e6215da7b5e436925',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, SimpleTensor&lt; int16_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ada7fe073f944fb1b7cb51a2670a535ed',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, SimpleTensor&lt; int8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1b2a270356485590cf68a5183d91719f',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, SimpleTensor&lt; half &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a354f939352bc451b0aa580b11eae2938',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, SimpleTensor&lt; float &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a41815e938f6643786fe39fad6e362d81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a959ed2a631143019befcec806b170a33',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a68db47ae9daa7898dc9544432868c7d4',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a625413f973c546077e9ccdd4ff09b85e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0520d1a68a245f80c8ee12d6670c0464',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)']]],
-  ['arithmetic_5fsub',['arithmetic_sub',['../arithmetic__op_8cl.xhtml#a9013d9d4bb677a7ece17d662186fd578',1,'arithmetic_op.cl']]],
+  ['arithmetic_5foperation',['arithmetic_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9af191573bdcb8e1b0be4b10ba5954',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, SimpleTensor&lt; T &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaa61583632c4ba9f979ef7694376f6d4',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, SimpleTensor&lt; uint8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a24e68c017ceaf121e3eaacc871b239a5',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, SimpleTensor&lt; int16_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5ec33e48961de1cd1e68b0132f674f96',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, SimpleTensor&lt; int8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5db9557ac53637ea72421b32386f9e40',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, SimpleTensor&lt; half &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff2a214f6417b4641928bd533da4960c',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, SimpleTensor&lt; float &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a41815e938f6643786fe39fad6e362d81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a554906dce7e96493648d8d63de9bf37e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07939197761c818f07b5e3ff8553fa8c',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2af6bc180bf7d3b3b82a528ee1c1b572',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a89bf6564436779db314a3c36b7d1fa88',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03fab65218f4bac85ecc134484ab3b81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int32_t &gt; &amp;src1, const SimpleTensor&lt; int32_t &gt; &amp;src2, SimpleTensor&lt; int32_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7cc0449246a464e6bb09502ba1b1180e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int32_t &gt; &amp;src1, const SimpleTensor&lt; int32_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)']]],
   ['arithmetic_5fto_5fstring',['arithmetic_to_string',['../namespacearm__compute_1_1test.xhtml#a93690f80f7fb88ea733fdc6f9f3b3ada',1,'arm_compute::test']]],
   ['arithmeticaddition_2ecpp',['ArithmeticAddition.cpp',['../_c_l_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)'],['../_g_l_e_s___c_o_m_p_u_t_e_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmeticdivision_2ecpp',['ArithmeticDivision.cpp',['../_c_l_2_arithmetic_division_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_arithmetic_division_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmeticdivision_2eh',['ArithmeticDivision.h',['../_arithmetic_division_8h.xhtml',1,'']]],
-  ['arithmeticoperation',['ArithmeticOperation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::test::validation::reference']]],
+  ['arithmeticoperation',['ArithmeticOperation',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::ArithmeticOperation()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::test::validation::reference::ArithmeticOperation()']]],
   ['arithmeticoperations_2ecpp',['ArithmeticOperations.cpp',['../_arithmetic_operations_8cpp.xhtml',1,'']]],
   ['arithmeticoperations_2eh',['ArithmeticOperations.h',['../_arithmetic_operations_8h.xhtml',1,'']]],
   ['arithmeticsubtraction_2ecpp',['ArithmeticSubtraction.cpp',['../_c_l_2_arithmetic_subtraction_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_arithmetic_subtraction_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -243,7 +255,7 @@
   ['arm_5fcompute_5ferror_5fon_5fwindow_5fnot_5fcollapsable_5fat_5fdimension',['ARM_COMPUTE_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION',['../_validate_8h.xhtml#a693decaffb042b3ff76e274f983e8ac1',1,'Validate.h']]],
   ['arm_5fcompute_5ferror_5fthrow_5fon',['ARM_COMPUTE_ERROR_THROW_ON',['../_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948',1,'Error.h']]],
   ['arm_5fcompute_5fexit_5fon_5fmsg',['ARM_COMPUTE_EXIT_ON_MSG',['../_error_8h.xhtml#ad39a3601153da57978bb5124ace35d36',1,'Error.h']]],
-  ['arm_5fcompute_5fexpect',['ARM_COMPUTE_EXPECT',['../_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51',1,'ARM_COMPUTE_EXPECT():&#160;Asserts.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(dst.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7af1f415dd7596057e3762fb9578b6d5',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(a.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a377dba528b66d44ab5b2c9b16dab9bfb',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(b.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ccc6dd4b02114eccc4d7652dcf03efd',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(c.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a475c8344ecb61fa6f5d207b960daed9f',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(in.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bbe5517014347ddf1e1627477404621',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(out.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebfc2f8ea56e865959855650b84d9237',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(shape.num_dimensions()==dimension+1, framework::LogLevel::ERRORS)']]],
+  ['arm_5fcompute_5fexpect',['ARM_COMPUTE_EXPECT',['../_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51',1,'ARM_COMPUTE_EXPECT():&#160;Asserts.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(dst.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4723dcafb6cb17bc56a7ef564beba6bf',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(weights.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a3a4ff1ec017f023aa950ddc43434e8',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(bias.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a230a5295f65fab5a7ad5028c1f2561b2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;quantization_info()==src_quantization_info, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c77cc4c8d5ea17105cebb7abdda28c2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(weights.info() -&gt;quantization_info()==weights_quantization_info, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebfc2f8ea56e865959855650b84d9237',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(shape.num_dimensions()==dimension+1, framework::LogLevel::ERRORS)']]],
   ['arm_5fcompute_5fexpect_5fequal',['ARM_COMPUTE_EXPECT_EQUAL',['../_asserts_8h.xhtml#ac057d80e0c27881ee453299d98a878f4',1,'Asserts.h']]],
   ['arm_5fcompute_5fexpect_5fequal_5fimpl',['ARM_COMPUTE_EXPECT_EQUAL_IMPL',['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml#ae9bc925970822e824eb1f740d46f2e8a',1,'arm_compute::test::framework::detail']]],
   ['arm_5fcompute_5fexpect_5ffail',['ARM_COMPUTE_EXPECT_FAIL',['../_asserts_8h.xhtml#a5c196704614e365ae4be76e3867c4e53',1,'Asserts.h']]],
@@ -299,6 +311,7 @@
   ['arm_5fcompute_5freturn_5fon_5ferror',['ARM_COMPUTE_RETURN_ON_ERROR',['../_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4',1,'Error.h']]],
   ['arm_5fcompute_5ftest_5fcomp_5ffactory',['ARM_COMPUTE_TEST_COMP_FACTORY',['../_asserts_8h.xhtml#a9b1013d9828dd87c5ea4a43c31db18cc',1,'Asserts.h']]],
   ['arm_5fcompute_5ftest_5finfo',['ARM_COMPUTE_TEST_INFO',['../_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1',1,'Asserts.h']]],
+  ['arm_5fcompute_5fthrow',['ARM_COMPUTE_THROW',['../_error_8h.xhtml#ad5518fdae84a33ce6fbed540c6e89479',1,'Error.h']]],
   ['arm_5fcompute_5fthrow_5fon_5ferror',['ARM_COMPUTE_THROW_ON_ERROR',['../_error_8h.xhtml#a51e206ee52bcfb358919ee478d9fdc47',1,'Error.h']]],
   ['arm_5fcompute_5funused',['ARM_COMPUTE_UNUSED',['../_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6',1,'Error.h']]],
   ['arm_5fgemm',['arm_gemm',['../namespacearm__gemm.xhtml',1,'']]],
@@ -355,7 +368,7 @@
   ['asymm_5fone_5fover_5fone_5fplus_5fx_5ffor_5fx_5fin_5f0_5f14',['asymm_one_over_one_plus_x_for_x_in_0_14',['../helpers__asymm_8h.xhtml#a049439083adb7b960079832ad6367389',1,'helpers_asymm.h']]],
   ['asymm_5fone_5fover_5fone_5fplus_5fx_5ffor_5fx_5fin_5f0_5f18',['asymm_one_over_one_plus_x_for_x_in_0_18',['../helpers__asymm_8h.xhtml#abe37c90e62ee60565cbfbb38c4358fd6',1,'helpers_asymm.h']]],
   ['asymm_5fone_5fover_5fone_5fplus_5fx_5ffor_5fx_5fin_5f0_5f1_5fimpl',['ASYMM_ONE_OVER_ONE_PLUS_X_FOR_X_IN_0_1_IMPL',['../helpers__asymm_8h.xhtml#a0e53aa5d4cbcec7a0c0085838f32453d',1,'helpers_asymm.h']]],
-  ['asymm_5frescale',['asymm_rescale',['../softmax__layer__quantized_8cl.xhtml#ad57ea340cdcfeb2e1375b70c3ae59bae',1,'asymm_rescale():&#160;softmax_layer_quantized.cl'],['../helpers__asymm_8h.xhtml#a98585f1bb84dea90aecbf59785c46151',1,'ASYMM_RESCALE():&#160;helpers_asymm.h']]],
+  ['asymm_5frescale',['ASYMM_RESCALE',['../helpers__asymm_8h.xhtml#a98585f1bb84dea90aecbf59785c46151',1,'ASYMM_RESCALE():&#160;helpers_asymm.h'],['../softmax__layer__quantized_8cl.xhtml#ad57ea340cdcfeb2e1375b70c3ae59bae',1,'asymm_rescale():&#160;softmax_layer_quantized.cl']]],
   ['asymm_5frescale16',['asymm_rescale16',['../helpers__asymm_8h.xhtml#a700e603af523859efb90ed4b52b41c84',1,'helpers_asymm.h']]],
   ['asymm_5frescale2',['asymm_rescale2',['../helpers__asymm_8h.xhtml#a49b94bfc99276975c6fed32c693cbac5',1,'helpers_asymm.h']]],
   ['asymm_5frescale4',['asymm_rescale4',['../helpers__asymm_8h.xhtml#a8f9d043040f28f051c7145281de94681',1,'helpers_asymm.h']]],
@@ -392,17 +405,20 @@
   ['auto_5fpadding',['auto_padding',['../classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38',1,'arm_compute::ITensorInfo::auto_padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4',1,'arm_compute::SubTensorInfo::auto_padding()'],['../classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4',1,'arm_compute::TensorInfo::auto_padding()']]],
   ['available_5finstruments',['available_instruments',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a6f786ac52185e75dfb58b386d006c078',1,'arm_compute::test::framework::Framework']]],
   ['avg',['AVG',['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a',1,'arm_compute']]],
-  ['axis',['axis',['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a5c86a49e3cc9c3c03c1c3fb1e027e22b',1,'arm_compute::graph::SplitLayerNode']]],
+  ['away_5ffrom_5fzero',['AWAY_FROM_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a1ff3077771e77d24ec18776e2ed9edc7',1,'arm_compute::utils::rounding']]],
+  ['axis',['axis',['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a5c86a49e3cc9c3c03c1c3fb1e027e22b',1,'arm_compute::graph::SplitLayerNode::axis()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21',1,'arm_compute::test::validation::axis()']]],
   ['backends',['backends',['../namespacearm__compute_1_1graph_1_1backends.xhtml',1,'arm_compute::graph']]],
   ['benchmark',['benchmark',['../namespacearm__compute_1_1test_1_1benchmark.xhtml',1,'arm_compute::test']]],
+  ['bit_5fops',['bit_ops',['../namespacearm__compute_1_1helpers_1_1bit__ops.xhtml',1,'arm_compute::helpers']]],
   ['cast',['cast',['../namespacearm__compute_1_1utils_1_1cast.xhtml',1,'arm_compute::utils']]],
+  ['cl_5fgemm',['cl_gemm',['../namespacearm__compute_1_1cl__gemm.xhtml',1,'arm_compute']]],
   ['clsuite',['CLSuite',['../namespacearm__compute_1_1test_1_1benchmark_1_1_c_l_suite.xhtml',1,'arm_compute::test::benchmark']]],
   ['colorconvert_5fhelper',['colorconvert_helper',['../namespacearm__compute_1_1test_1_1colorconvert__helper.xhtml',1,'arm_compute::test']]],
   ['convolution_5f3d',['convolution_3d',['../namespacearm__compute_1_1test_1_1convolution__3d.xhtml',1,'arm_compute::test']]],
   ['cpp11',['cpp11',['../namespacearm__compute_1_1support_1_1cpp11.xhtml',1,'arm_compute::support']]],
   ['cpp14',['cpp14',['../namespacearm__compute_1_1support_1_1cpp14.xhtml',1,'arm_compute::support']]],
   ['dataset',['dataset',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml',1,'arm_compute::test::framework']]],
-  ['detail',['detail',['../namespacearm__compute_1_1detail.xhtml',1,'arm_compute::detail'],['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml',1,'arm_compute::graph::backends::detail'],['../namespacearm__compute_1_1graph_1_1detail.xhtml',1,'arm_compute::graph::detail'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml',1,'arm_compute::test::colorconvert_helper::detail'],['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml',1,'arm_compute::test::convolution_3d::detail'],['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml',1,'arm_compute::test::framework::detail'],['../namespacearm__compute_1_1utility_1_1detail.xhtml',1,'arm_compute::utility::detail']]],
+  ['detail',['detail',['../namespacearm__compute_1_1detail.xhtml',1,'arm_compute::detail'],['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml',1,'arm_compute::graph::backends::detail'],['../namespacearm__compute_1_1graph_1_1detail.xhtml',1,'arm_compute::graph::detail'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml',1,'arm_compute::test::colorconvert_helper::detail'],['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml',1,'arm_compute::test::convolution_3d::detail'],['../namespacearm__compute_1_1test_1_1detail.xhtml',1,'arm_compute::test::detail'],['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml',1,'arm_compute::test::framework::detail'],['../namespacearm__compute_1_1utility_1_1detail.xhtml',1,'arm_compute::utility::detail'],['../namespacearm__compute_1_1utils_1_1requires_1_1detail.xhtml',1,'arm_compute::utils::requires::detail']]],
   ['framework',['framework',['../namespacearm__compute_1_1test_1_1framework.xhtml',1,'arm_compute::test']]],
   ['frontend',['frontend',['../namespacearm__compute_1_1graph_1_1frontend.xhtml',1,'arm_compute::graph']]],
   ['gles',['gles',['../namespacearm__compute_1_1gles.xhtml',1,'arm_compute']]],
@@ -415,15 +431,18 @@
   ['misc',['misc',['../namespacearm__compute_1_1misc.xhtml',1,'arm_compute']]],
   ['nightlysuite',['NIGHTLYSuite',['../namespacearm__compute_1_1test_1_1benchmark_1_1_c_l_suite_1_1_n_i_g_h_t_l_y_suite.xhtml',1,'arm_compute::test::benchmark::CLSuite']]],
   ['quantization',['quantization',['../namespacearm__compute_1_1quantization.xhtml',1,'arm_compute']]],
+  ['random',['random',['../namespacearm__compute_1_1utils_1_1random.xhtml',1,'arm_compute::utils']]],
   ['reference',['reference',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml',1,'arm_compute::test::validation']]],
+  ['requires',['requires',['../namespacearm__compute_1_1utils_1_1requires.xhtml',1,'arm_compute::utils']]],
+  ['rounding',['rounding',['../namespacearm__compute_1_1utils_1_1rounding.xhtml',1,'arm_compute::utils']]],
   ['shape_5fcalculator',['shape_calculator',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml',1,'arm_compute::misc']]],
   ['support',['support',['../namespacearm__compute_1_1support.xhtml',1,'arm_compute']]],
   ['tensor_5ftransform',['tensor_transform',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml',1,'arm_compute::helpers']]],
   ['test',['test',['../namespacearm__compute_1_1test.xhtml',1,'arm_compute']]],
-  ['traits',['traits',['../namespacearm__compute_1_1test_1_1traits.xhtml',1,'arm_compute::test::traits'],['../namespacearm__compute_1_1traits.xhtml',1,'arm_compute::traits'],['../namespacearm__compute_1_1wrapper_1_1traits.xhtml',1,'arm_compute::wrapper::traits']]],
+  ['traits',['traits',['../namespacearm__compute_1_1test_1_1traits.xhtml',1,'arm_compute::test::traits'],['../namespacearm__compute_1_1traits.xhtml',1,'arm_compute::traits'],['../namespacearm__compute_1_1utils_1_1traits.xhtml',1,'arm_compute::utils::traits'],['../namespacearm__compute_1_1wrapper_1_1traits.xhtml',1,'arm_compute::wrapper::traits']]],
   ['tuners',['tuners',['../namespacearm__compute_1_1tuners.xhtml',1,'arm_compute']]],
   ['utility',['utility',['../namespacearm__compute_1_1utility.xhtml',1,'arm_compute']]],
-  ['utils',['utils',['../namespacearm__compute_1_1utils.xhtml',1,'arm_compute']]],
+  ['utils',['utils',['../namespacearm__compute_1_1utils.xhtml',1,'arm_compute::utils'],['../namespacearm__gemm_1_1utils.xhtml',1,'arm_gemm::utils']]],
   ['validation',['validation',['../namespacearm__compute_1_1test_1_1validation.xhtml',1,'arm_compute::test']]],
   ['wrapper',['wrapper',['../namespacearm__compute_1_1wrapper.xhtml',1,'arm_compute']]]
 ];
diff --git a/documentation/search/all_3.html b/documentation/search/all_3.html
index 03405c0..b634070 100644
--- a/documentation/search/all_3.html
+++ b/documentation/search/all_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_3.js b/documentation/search/all_3.js
index 3b73e31..b50969b 100644
--- a/documentation/search/all_3.js
+++ b/documentation/search/all_3.js
@@ -1,8 +1,9 @@
 var searchData=
 [
-  ['b',['b',['../classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54',1,'arm_compute::ActivationLayerInfo::b()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff',1,'arm_compute::test::validation::b()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571',1,'arm_compute::B()']]],
-  ['b_5fis_5fpretransposed',['B_is_pretransposed',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmInterleaved::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvBatched::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvPretransposed::B_is_pretransposed()']]],
-  ['b_5fpretranspose_5frequired',['B_pretranspose_required',['../classarm__gemm_1_1_gemm_interleaved.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmInterleaved::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_batched.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvBatched::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvPretransposed::B_pretranspose_required()']]],
+  ['b',['b',['../classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54',1,'arm_compute::ActivationLayerInfo::b()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571',1,'arm_compute::B()']]],
+  ['b_5fis_5fpretransposed',['B_is_pretransposed',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmHybrid::B_is_pretransposed()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmInterleaved::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvBatched::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvPretransposed::B_is_pretransposed()']]],
+  ['b_5fpretranspose_5frequired',['B_pretranspose_required',['../classarm__gemm_1_1_gemm_hybrid.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmHybrid::B_pretranspose_required()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmInterleaved::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_batched.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvBatched::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvPretransposed::B_pretranspose_required()']]],
+  ['b_5fvalue',['b_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a22cfc6948997672855a2ee16e45cef71',1,'arm_compute::test::validation']]],
   ['backend_5fallocator',['backend_allocator',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::CLDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::GCDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::NEDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#ac37337ce735ea0bc448d31f719392993',1,'arm_compute::graph::backends::IDeviceBackend::backend_allocator()']]],
   ['backendregistrar',['BackendRegistrar',['../classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml',1,'BackendRegistrar&lt; T &gt;'],['../classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml#a9ad59cb425b913c7634f59dd9c380010',1,'arm_compute::graph::backends::detail::BackendRegistrar::BackendRegistrar()']]],
   ['backendregistrar_2eh',['BackendRegistrar.h',['../_backend_registrar_8h.xhtml',1,'']]],
@@ -10,9 +11,10 @@
   ['backendregistry_2ecpp',['BackendRegistry.cpp',['../_backend_registry_8cpp.xhtml',1,'']]],
   ['backendregistry_2eh',['BackendRegistry.h',['../_backend_registry_8h.xhtml',1,'']]],
   ['backends',['backends',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#af0cb8edaa2dd7d982b8bf63ddfb3f966',1,'arm_compute::graph::backends::BackendRegistry']]],
+  ['background_5flabel_5fid',['background_label_id',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a158d49c7c1df3c6c6589b47d3de56cf0',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['base_5f10',['BASE_10',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aebc1ea57c14482b68dac0c0dab766126a329acff975f3cc434528bec43bd5b6aa',1,'arm_compute::support::cpp11']]],
   ['base_5f16',['BASE_16',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aebc1ea57c14482b68dac0c0dab766126a027219c7702304969c898aeffed504af',1,'arm_compute::support::cpp11']]],
-  ['batch_5fidx',['batch_idx',['../structarm__compute_1_1_r_o_i.xhtml#a2df12a0d285598144f82ecd911af30e9',1,'arm_compute::ROI']]],
+  ['batch_5fnorm_5fepsilon',['batch_norm_epsilon',['../graph__inception__resnet__v1_8cpp.xhtml#ae89536b490f3ad0e9070bd2dd0a6df5d',1,'graph_inception_resnet_v1.cpp']]],
   ['batch_5fnormalization_5flayer',['batch_normalization_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b59ab07308c9b51bfb23f6c8bd21021',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;mean, const SimpleTensor&lt; T &gt; &amp;var, const SimpleTensor&lt; T &gt; &amp;beta, const SimpleTensor&lt; T &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c46a385d4a694b228d527433901b92',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;mean, const SimpleTensor&lt; float &gt; &amp;var, const SimpleTensor&lt; float &gt; &amp;beta, const SimpleTensor&lt; float &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aac19e9350e59de09cc88646b5352f7fb',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;mean, const SimpleTensor&lt; half &gt; &amp;var, const SimpleTensor&lt; half &gt; &amp;beta, const SimpleTensor&lt; half &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)']]],
   ['batch_5fto_5fspace',['batch_to_space',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa759ea865a99fcd45399d91506056f3d',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a71aee17712ae0fcf913df5d651cd5eb3',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5795210429190bccc66045566a47edf5',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)']]],
   ['batch_5fto_5fspace_2ecl',['batch_to_space.cl',['../batch__to__space_8cl.xhtml',1,'']]],
@@ -28,9 +30,13 @@
   ['batchtospacelayer_2eh',['BatchToSpaceLayer.h',['../_batch_to_space_layer_8h.xhtml',1,'']]],
   ['bbox_5fxform_5fclip',['bbox_xform_clip',['../classarm__compute_1_1_bounding_box_transform_info.xhtml#a0b6688157393c43306aec60185ff067f',1,'arm_compute::BoundingBoxTransformInfo']]],
   ['begin',['begin',['../classarm__compute_1_1_dimensions.xhtml#ab2878b67ca384a699c1270900b31290b',1,'arm_compute::Dimensions::begin()'],['../classarm__compute_1_1_dimensions.xhtml#ab3821c007799102f18ef1cf4ec88be9c',1,'arm_compute::Dimensions::begin() const'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#ac05c59e8b4e9807e105f613a57bfe014',1,'arm_compute::utils::iterable::reverse_iterable::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::CartesianProductDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::ContainerDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::InitializerListDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::JoinDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::RangeDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::SingletonDataset::begin()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a0c62c15c8ed609e7e5e9518cf5f5c712',1,'arm_compute::test::framework::dataset::ZipDataset::begin()']]],
-  ['beta',['beta',['../classarm__compute_1_1_normalization_layer_info.xhtml#a01524f49fa1d982d4382e390bef91de7',1,'arm_compute::NormalizationLayerInfo::beta()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a01524f49fa1d982d4382e390bef91de7',1,'arm_compute::graph::SoftmaxLayerNode::beta()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01',1,'arm_compute::test::validation::beta()']]],
+  ['beta',['beta',['../classarm__compute_1_1_normalization_layer_info.xhtml#a01524f49fa1d982d4382e390bef91de7',1,'arm_compute::NormalizationLayerInfo::beta()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a01524f49fa1d982d4382e390bef91de7',1,'arm_compute::graph::SoftmaxLayerNode::beta()']]],
+  ['beta_5finfo',['beta_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4117a6db63ae46d644756cbfff7fe74b',1,'arm_compute::test::validation']]],
   ['bfs',['bfs',['../namespacearm__compute_1_1graph.xhtml#aa1c6a4a70ded6258fff31b3de53dfb8f',1,'arm_compute::graph']]],
+  ['bias',['bias',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd',1,'arm_compute::test::validation']]],
   ['bias_5finfo',['bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a43c38c81ff3058e36ceb9904a944d1ea',1,'arm_compute::test::validation']]],
+  ['bias_5fshape',['bias_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cbf408f2927f0d1b7d1353b9d06dcfb',1,'arm_compute::test::validation']]],
+  ['bias_5fvalid_5fregion',['bias_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#af42ac4b2bf87fe75b10d2b29371da967',1,'arm_compute::test::validation']]],
   ['bifrost',['BIFROST',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aa78cc0fd1cab24af0fad71dc4c256f8e',1,'arm_compute']]],
   ['bifrosttuner',['BifrostTuner',['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml',1,'arm_compute::tuners']]],
   ['bifrosttuner_2ecpp',['BifrostTuner.cpp',['../_bifrost_tuner_8cpp.xhtml',1,'']]],
@@ -47,6 +53,8 @@
   ['binary',['BINARY',['../namespacearm__compute.xhtml#a3e6b23e675649b83240691abbc42a649a98ad0e8750ae10ad556ed7a62affb452',1,'arm_compute']]],
   ['bind_5fedge',['bind_edge',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a37a56fcfb4c6a506d63f11d88e0981c0',1,'arm_compute::graph::Tensor']]],
   ['bistrides',['BiStrides',['../namespacearm__compute.xhtml#a11916d4148a39a67794050373f54825a',1,'arm_compute']]],
+  ['bit_5fops_2eh',['bit_ops.h',['../bit__ops_8h.xhtml',1,'']]],
+  ['bitwidth',['BitWidth',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0b',1,'arm_compute::wrapper::traits']]],
   ['bitwise_5fand',['bitwise_and',['../bitwise__op_8cl.xhtml#a24014fd2f171ae758db4eecffab00aac',1,'bitwise_and():&#160;bitwise_op.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7229d506620fd44c5916716f7bf696b2',1,'arm_compute::test::validation::reference::bitwise_and(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a55c7ec1e1273f65d37c51ff1d39a5d77',1,'arm_compute::test::validation::reference::bitwise_and(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2)']]],
   ['bitwise_5fnot',['bitwise_not',['../bitwise__op_8cl.xhtml#a86ffd3a69cd5489dc19c3b284c87754f',1,'bitwise_not():&#160;bitwise_op.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af4713d48a2398823bcfd449c2aafef30',1,'arm_compute::test::validation::reference::bitwise_not(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a003581bd71ae054b9b7ff70d975856d8',1,'arm_compute::test::validation::reference::bitwise_not(const SimpleTensor&lt; uint8_t &gt; &amp;src)']]],
   ['bitwise_5fop_2ecl',['bitwise_op.cl',['../bitwise__op_8cl.xhtml',1,'']]],
@@ -60,10 +68,11 @@
   ['bitwiseor_2eh',['BitwiseOr.h',['../_bitwise_or_8h.xhtml',1,'']]],
   ['bitwisexor_2ecpp',['BitwiseXor.cpp',['../_c_l_2_bitwise_xor_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_bitwise_xor_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_bitwise_xor_8cpp.xhtml',1,'(Global Namespace)']]],
   ['bitwisexor_2eh',['BitwiseXor.h',['../_bitwise_xor_8h.xhtml',1,'']]],
+  ['blobinfo',['BlobInfo',['../structarm__compute_1_1_blob_info.xhtml',1,'BlobInfo'],['../structarm__compute_1_1_blob_info.xhtml#a11702cc272b3bf3c15074162cf3b7a05',1,'arm_compute::BlobInfo::BlobInfo()']]],
   ['bloblifetimemanager',['BlobLifetimeManager',['../classarm__compute_1_1_blob_lifetime_manager.xhtml',1,'BlobLifetimeManager'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#aa896b8c8ef0043ee483a7b2942eb4342',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager()'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a58a361291909005f0f134b2348ddf94c',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a837e96785150ad6755e67589293bb16a',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager(BlobLifetimeManager &amp;&amp;)=default']]],
   ['bloblifetimemanager_2ecpp',['BlobLifetimeManager.cpp',['../_blob_lifetime_manager_8cpp.xhtml',1,'']]],
   ['bloblifetimemanager_2eh',['BlobLifetimeManager.h',['../_blob_lifetime_manager_8h.xhtml',1,'']]],
-  ['blobmemorypool',['BlobMemoryPool',['../classarm__compute_1_1_blob_memory_pool.xhtml',1,'BlobMemoryPool'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae4697b43125a5f2498131d794b44d950',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(IAllocator *allocator, std::vector&lt; size_t &gt; blob_sizes)'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae3f7b519f24156d81c6cb74af7803c06',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae5fe157f7be806bedd55e5c116a21995',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(BlobMemoryPool &amp;&amp;)=default']]],
+  ['blobmemorypool',['BlobMemoryPool',['../classarm__compute_1_1_blob_memory_pool.xhtml',1,'BlobMemoryPool'],['../classarm__compute_1_1_blob_memory_pool.xhtml#a62bb579b23f7c2202b6c24e31fa02d3d',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(IAllocator *allocator, std::vector&lt; BlobInfo &gt; blob_info)'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae3f7b519f24156d81c6cb74af7803c06',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae5fe157f7be806bedd55e5c116a21995',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(BlobMemoryPool &amp;&amp;)=default']]],
   ['blobmemorypool_2ecpp',['BlobMemoryPool.cpp',['../_blob_memory_pool_8cpp.xhtml',1,'']]],
   ['blobmemorypool_2eh',['BlobMemoryPool.h',['../_blob_memory_pool_8h.xhtml',1,'']]],
   ['blobs',['BLOBS',['../namespacearm__compute.xhtml#af0a4d6be70322c742c12da1edccbb74daac354f9e7a5097598cdd933b42fd190e',1,'arm_compute']]],
@@ -71,7 +80,7 @@
   ['block_5fstride',['block_stride',['../classarm__compute_1_1_h_o_g_info.xhtml#a207391d3ac69d9a0839104f784f888fd',1,'arm_compute::HOGInfo']]],
   ['blue_5fcoef_5fbt709',['blue_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ab7d52900468f442e85c01d73722d181c',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['border_5fmode',['border_mode',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65',1,'arm_compute::test::validation']]],
-  ['border_5fsize',['border_size',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticAdditionKernel::border_size()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticDivisionKernel::border_size()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLBox3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::border_size()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDerivativeKernel::border_size()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDilateKernel::border_size()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLErodeKernel::border_size()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLFastCornersKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLReductionOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLRemapKernel::border_size()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScaleKernel::border_size()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpAffineKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpPerspectiveKernel::border_size()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWinogradInputTransformKernel::border_size()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCScaleKernel::border_size()'],['../classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd',1,'arm_compute::IKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticAdditionKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEBox3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeTraceKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDerivativeKernel::border_size()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDilateKernel::border_size()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEErodeKernel::border_size()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEFastCornersKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEIntegralImageKernel::border_size()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELKTrackerKernel::border_size()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEReductionOperationKernel::border_size()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NERemapKernel::border_size()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScaleKernel::border_size()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELogits1DMaxKernel::border_size()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::INEWarpKernel::border_size()']]],
+  ['border_5fsize',['border_size',['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLBox3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLComparisonKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::border_size()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDerivativeKernel::border_size()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDilateKernel::border_size()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLElementwiseOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLErodeKernel::border_size()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLFastCornersKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLReductionOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLRemapKernel::border_size()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScaleKernel::border_size()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpAffineKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpPerspectiveKernel::border_size()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWinogradInputTransformKernel::border_size()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCScaleKernel::border_size()'],['../classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd',1,'arm_compute::IKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEBox3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeTraceKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDerivativeKernel::border_size()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDilateKernel::border_size()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEErodeKernel::border_size()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEFastCornersKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEIntegralImageKernel::border_size()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELKTrackerKernel::border_size()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEReductionOperationKernel::border_size()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NERemapKernel::border_size()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScaleKernel::border_size()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELogits1DMaxKernel::border_size()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::INEWarpKernel::border_size()']]],
   ['bordermode',['BorderMode',['../namespacearm__compute.xhtml#a15a05537a472ee742404821851529327',1,'arm_compute']]],
   ['bordersize',['BorderSize',['../structarm__compute_1_1_border_size.xhtml',1,'BorderSize'],['../structarm__compute_1_1_border_size.xhtml#ae97b3d4d063ade0ef4bdf5be1f135881',1,'arm_compute::BorderSize::BorderSize()'],['../structarm__compute_1_1_border_size.xhtml#a4ead5a6d48151a603bf3be1e6acafb05',1,'arm_compute::BorderSize::BorderSize(unsigned int size)'],['../structarm__compute_1_1_border_size.xhtml#a44089024084b73c5b83e509518df48e0',1,'arm_compute::BorderSize::BorderSize(unsigned int top_bottom, unsigned int left_right)'],['../structarm__compute_1_1_border_size.xhtml#a10a8505b7c7458d1f60cac844d42e023',1,'arm_compute::BorderSize::BorderSize(unsigned int top, unsigned int right, unsigned int bottom, unsigned int left)']]],
   ['bordersizesdataset',['BorderSizesDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a0ac966aec5b787bd5b1a5218b97401',1,'arm_compute::test::validation']]],
@@ -97,7 +106,8 @@
   ['broadcast_5fif_5fdimension_5fle_5fone',['broadcast_if_dimension_le_one',['../classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d',1,'arm_compute::Window::broadcast_if_dimension_le_one(const TensorShape &amp;shape) const'],['../classarm__compute_1_1_window.xhtml#a8a8a12cc3cc3d07d9914cfa5f94b3ee5',1,'arm_compute::Window::broadcast_if_dimension_le_one(const ITensorInfo &amp;info) const']]],
   ['broadcast_5fshape',['broadcast_shape',['../classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de',1,'arm_compute::TensorShape']]],
   ['broadcast_5fshape_5fand_5fvalid_5fregion',['broadcast_shape_and_valid_region',['../classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da',1,'arm_compute::ITensorInfo']]],
-  ['buffer',['Buffer',['../classarm__gemm_1_1_buffer.xhtml',1,'Buffer'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f',1,'arm_compute::test::SimpleTensor::Buffer()'],['../classarm__gemm_1_1_buffer.xhtml#a8bf60bd0f8a216c716ef58fea0606aee',1,'arm_gemm::Buffer::Buffer(Buffer &amp;)=delete'],['../classarm__gemm_1_1_buffer.xhtml#a53dae4cefe42f5ba80b09f65257b4fcb',1,'arm_gemm::Buffer::Buffer(void *storage, int maxusers)'],['../classarm__compute_1_1_i_c_l_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::ICLArray::buffer()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::ICLDistribution1D::buffer()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLLut::buffer()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLTensor::buffer()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::IGCTensor::buffer()'],['../classarm__compute_1_1_i_array.xhtml#a4b55468220c2029e7ee1594e34b2b21f',1,'arm_compute::IArray::buffer()'],['../classarm__compute_1_1_i_distribution.xhtml#a0eb5856c63562cb144938ed77d6823a0',1,'arm_compute::IDistribution::buffer()'],['../classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ILut::buffer()'],['../classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ITensor::buffer()'],['../classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::Array::buffer()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::ICLMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::ICLMemoryRegion::buffer() const override'],['../classarm__compute_1_1_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::Distribution1D::buffer()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::IGCMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::IGCMemoryRegion::buffer() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::GCTensor::buffer()'],['../classarm__compute_1_1_i_memory_region.xhtml#af4cf95f81e1b269a31d2d9a7e0429a24',1,'arm_compute::IMemoryRegion::buffer()=0'],['../classarm__compute_1_1_i_memory_region.xhtml#aeb4cf01e5d74997a1994272225baeb05',1,'arm_compute::IMemoryRegion::buffer() const =0'],['../classarm__compute_1_1_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Lut::buffer()'],['../classarm__compute_1_1_memory_region.xhtml#ab9ec7ea42f2074a78cc2bf89e4663a24',1,'arm_compute::MemoryRegion::buffer() final'],['../classarm__compute_1_1_memory_region.xhtml#a80776c0cd484c25f25e4e7d8198c4678',1,'arm_compute::MemoryRegion::buffer() const final'],['../classarm__compute_1_1_sub_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::SubTensor::buffer()'],['../classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Tensor::buffer()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::CLArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad',1,'arm_compute::test::IArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::ArrayAccessor::buffer()'],['../namespacearm__compute_1_1graph.xhtml#ac866c81ec0f5526139dfc62ddc3f206ea7e62bc342f41c946868f0ea6f0b712d8',1,'arm_compute::graph::Buffer()']]],
+  ['bsl_2eh',['bsl.h',['../bsl_8h.xhtml',1,'']]],
+  ['buffer',['Buffer',['../classarm__gemm_1_1_buffer.xhtml',1,'Buffer'],['../classarm__compute_1_1_i_c_l_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::ICLArray::buffer()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::ICLDistribution1D::buffer()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLLut::buffer()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLTensor::buffer()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::IGCTensor::buffer()'],['../classarm__compute_1_1_i_array.xhtml#a4b55468220c2029e7ee1594e34b2b21f',1,'arm_compute::IArray::buffer()'],['../classarm__compute_1_1_i_distribution.xhtml#a0eb5856c63562cb144938ed77d6823a0',1,'arm_compute::IDistribution::buffer()'],['../classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ILut::buffer()'],['../classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ITensor::buffer()'],['../classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::Array::buffer()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::ICLMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::ICLMemoryRegion::buffer() const override'],['../classarm__compute_1_1_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::Distribution1D::buffer()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::IGCMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::IGCMemoryRegion::buffer() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::GCTensor::buffer()'],['../classarm__compute_1_1_i_memory_region.xhtml#af4cf95f81e1b269a31d2d9a7e0429a24',1,'arm_compute::IMemoryRegion::buffer()=0'],['../classarm__compute_1_1_i_memory_region.xhtml#aeb4cf01e5d74997a1994272225baeb05',1,'arm_compute::IMemoryRegion::buffer() const =0'],['../classarm__compute_1_1_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Lut::buffer()'],['../classarm__compute_1_1_memory_region.xhtml#ab9ec7ea42f2074a78cc2bf89e4663a24',1,'arm_compute::MemoryRegion::buffer() final'],['../classarm__compute_1_1_memory_region.xhtml#a80776c0cd484c25f25e4e7d8198c4678',1,'arm_compute::MemoryRegion::buffer() const final'],['../classarm__compute_1_1_sub_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::SubTensor::buffer()'],['../classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Tensor::buffer()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::CLArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad',1,'arm_compute::test::IArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::ArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f',1,'arm_compute::test::SimpleTensor::Buffer()'],['../classarm__gemm_1_1_buffer.xhtml#a8bf60bd0f8a216c716ef58fea0606aee',1,'arm_gemm::Buffer::Buffer(Buffer &amp;)=delete'],['../classarm__gemm_1_1_buffer.xhtml#a53dae4cefe42f5ba80b09f65257b4fcb',1,'arm_gemm::Buffer::Buffer(void *storage, int maxusers)'],['../namespacearm__compute_1_1graph.xhtml#ac866c81ec0f5526139dfc62ddc3f206ea7e62bc342f41c946868f0ea6f0b712d8',1,'arm_compute::graph::Buffer()']]],
   ['buffer_5fmanager_2ehpp',['buffer_manager.hpp',['../buffer__manager_8hpp.xhtml',1,'']]],
   ['buffermanager',['BufferManager',['../classarm__gemm_1_1_buffer_manager.xhtml',1,'BufferManager'],['../classarm__gemm_1_1_buffer_manager.xhtml#afd75117a56b2f0e3932e7a55f63176bc',1,'arm_gemm::BufferManager::BufferManager(BufferManager &amp;)=delete'],['../classarm__gemm_1_1_buffer_manager.xhtml#a49b4e2b0c8c4da02a55bf479f0666b9e',1,'arm_gemm::BufferManager::BufferManager(const int maxthreads, const size_t buffersize, void *storage)']]],
   ['bufferstatus',['BufferStatus',['../namespacearm__gemm.xhtml#a32006a302bde841f2cf4cc8bb131856b',1,'arm_gemm']]],
diff --git a/documentation/search/all_4.html b/documentation/search/all_4.html
index 8e1f4b9..dd062ae 100644
--- a/documentation/search/all_4.html
+++ b/documentation/search/all_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_4.js b/documentation/search/all_4.js
index 59b13d2..09044d7 100644
--- a/documentation/search/all_4.js
+++ b/documentation/search/all_4.js
@@ -1,7 +1,6 @@
 var searchData=
 [
-  ['c',['c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094',1,'arm_compute::test::validation']]],
-  ['c0',['C0',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9c5959e6f08f10d0edbadf5be1f33c53',1,'arm_compute']]],
+  ['c0',['c0',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml#a98d2eb8d58557c785f3baa0b848abd3c',1,'arm_compute::DepthwiseConvolutionReshapeInfo::c0()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9c5959e6f08f10d0edbadf5be1f33c53',1,'arm_compute::C0()']]],
   ['c1',['C1',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa1a2ddc2db4693cfd16d534cde5572cc1',1,'arm_compute']]],
   ['c2',['C2',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aaf1a543f5a2c5d49bc5dde298fcf716e4',1,'arm_compute']]],
   ['c3',['C3',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa3abe124ecc82bf2c2e22e6058f38c50c',1,'arm_compute']]],
@@ -9,17 +8,22 @@
   ['caffepreproccessor',['CaffePreproccessor',['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml',1,'CaffePreproccessor'],['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a5cb89f99531ca5931b461835039fd655',1,'arm_compute::graph_utils::CaffePreproccessor::CaffePreproccessor()']]],
   ['calculate_5favg_5fscale',['calculate_avg_scale',['../pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153',1,'calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df',1,'calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer_quantized.cl']]],
   ['calculate_5favg_5fscale_5fnhwc',['calculate_avg_scale_nhwc',['../pooling__layer_8cl.xhtml#a93173b51e52924504320e874affcf881',1,'calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25',1,'calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer_quantized.cl']]],
-  ['calculate_5fdepth_5fconcatenate_5fshape',['calculate_depth_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a90d6bd879f5e05b591dc58892348c65c',1,'arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7',1,'arm_compute::test::validation::calculate_depth_concatenate_shape()']]],
+  ['calculate_5fdepth_5fconcatenate_5fshape',['calculate_depth_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a4acdd230226c5888e773bbac3be74941',1,'arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7',1,'arm_compute::test::validation::calculate_depth_concatenate_shape()']]],
+  ['calculate_5fend_5fon_5findex',['calculate_end_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1',1,'arm_compute::helpers::tensor_transform']]],
   ['calculate_5fmatrix_5fscale',['calculate_matrix_scale',['../namespacearm__compute.xhtml#a0101a40c4a6acc2af3b55afa7632f16a',1,'arm_compute']]],
   ['calculate_5fmax_5fenlarged_5fwindow',['calculate_max_enlarged_window',['../namespacearm__compute.xhtml#affc1f59e0b2c29bf81e8c95bf0fa8e76',1,'arm_compute::calculate_max_enlarged_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#afcdda83b6a85d5798f08d92c0e235e2e',1,'arm_compute::calculate_max_enlarged_window(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), BorderSize border_size=BorderSize())']]],
   ['calculate_5fmax_5fwindow',['calculate_max_window',['../namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5',1,'arm_compute::calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#aa2117aef4381edbdf81e17ec088df7f1',1,'arm_compute::calculate_max_window(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())']]],
   ['calculate_5fmax_5fwindow_5fhorizontal',['calculate_max_window_horizontal',['../namespacearm__compute.xhtml#a9047a414d692d8814181a667a7ee68c4',1,'arm_compute::calculate_max_window_horizontal(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#a47456b4d520aee1cba80bf6e20f6685a',1,'arm_compute::calculate_max_window_horizontal(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())']]],
   ['calculate_5fquantized_5fmultiplier_5fgreater_5fthan_5fone',['calculate_quantized_multiplier_greater_than_one',['../namespacearm__compute_1_1quantization.xhtml#ae8bdc82ba415ef002ef1637b5cd02bbd',1,'arm_compute::quantization']]],
   ['calculate_5fquantized_5fmultiplier_5fless_5fthan_5fone',['calculate_quantized_multiplier_less_than_one',['../namespacearm__compute_1_1quantization.xhtml#a22032f9cf47deae265eafb65ff55b594',1,'arm_compute::quantization']]],
-  ['calculate_5fsame_5fpad',['calculate_same_pad',['../namespacearm__compute.xhtml#a60e358f879bf4ca86ad938d1f1ef9a64',1,'arm_compute']]],
+  ['calculate_5fsame_5fpad',['calculate_same_pad',['../namespacearm__compute.xhtml#a76d2c1e638da30c99ca2ff48051bcb04',1,'arm_compute']]],
+  ['calculate_5fstart_5fon_5findex',['calculate_start_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457',1,'arm_compute::helpers::tensor_transform']]],
+  ['calculate_5fstride_5fon_5findex',['calculate_stride_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e',1,'arm_compute::helpers::tensor_transform']]],
+  ['calculate_5fstrided_5fslice_5fcoords',['calculate_strided_slice_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339',1,'arm_compute::helpers::tensor_transform']]],
   ['calculate_5fsubsampled_5fshape',['calculate_subsampled_shape',['../namespacearm__compute.xhtml#a9d714e1b7d9d7818309138b7d830ebcb',1,'arm_compute']]],
+  ['calculate_5funstack_5fshape',['calculate_unstack_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#acedb0877d41f2ae0591a2d4e84318140',1,'arm_compute::misc::shape_calculator']]],
   ['calculate_5fvalid_5fregion_5fscale',['calculate_valid_region_scale',['../namespacearm__compute.xhtml#a45509a321422cd1542958b5c33021bda',1,'arm_compute']]],
-  ['calculate_5fwidth_5fconcatenate_5fshape',['calculate_width_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad98c5b23d8630ce7b15c961992fd3dac',1,'arm_compute::misc::shape_calculator::calculate_width_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c',1,'arm_compute::test::validation::calculate_width_concatenate_shape()']]],
+  ['calculate_5fwidth_5fconcatenate_5fshape',['calculate_width_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a333e4da262f8d985e8f9ab2c39a9c3f3',1,'arm_compute::misc::shape_calculator::calculate_width_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c',1,'arm_compute::test::validation::calculate_width_concatenate_shape()']]],
   ['calculator',['calculator',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9374ade0a8f9d2e8b1831942a2247700',1,'arm_compute::test::validation']]],
   ['call_5faccessor',['call_accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a88d65b04d950e6aba147624fcd308b34',1,'arm_compute::graph::Tensor']]],
   ['call_5fall_5fconst_5fnode_5faccessors',['call_all_const_node_accessors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a6f2e226c8b1e478b0162c3d9327b032e',1,'arm_compute::graph::detail']]],
@@ -36,7 +40,10 @@
   ['cannyedgeparameters',['CannyEdgeParameters',['../structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml',1,'arm_compute::test::validation']]],
   ['cartesianproductdataset',['CartesianProductDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml',1,'CartesianProductDataset&lt; T, U &gt;'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a806854a05f02099749c505d17df3abb8',1,'arm_compute::test::framework::dataset::CartesianProductDataset::CartesianProductDataset(T &amp;&amp;dataset1, U &amp;&amp;dataset2)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml#a93d08043211e46c0ec6a2c6fdb02d157',1,'arm_compute::test::framework::dataset::CartesianProductDataset::CartesianProductDataset(CartesianProductDataset &amp;&amp;)=default']]],
   ['cartesianproductdataset_2eh',['CartesianProductDataset.h',['../_cartesian_product_dataset_8h.xhtml',1,'']]],
+  ['cast',['cast',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1aa002c584953ebbca0dcc213065428a',1,'arm_compute::test::validation']]],
+  ['cast_2ecpp',['Cast.cpp',['../_cast_8cpp.xhtml',1,'']]],
   ['cast_2eh',['Cast.h',['../_cast_8h.xhtml',1,'']]],
+  ['cast_5fsuite',['CAST_SUITE',['../_cast_8cpp.xhtml#a661883c3cf746d2388310db13b77817e',1,'Cast.cpp']]],
   ['cbegin',['cbegin',['../classarm__compute_1_1_dimensions.xhtml#a8c9efb4e1ad142d58d65af400f20217d',1,'arm_compute::Dimensions::cbegin()'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a366939ad933c898354422dbf1e97ef5f',1,'arm_compute::utils::iterable::reverse_iterable::cbegin()']]],
   ['ceil',['CEIL',['../namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa5bdce8e6d9dc3efbbd31e90a8a181dff',1,'arm_compute']]],
   ['ceil_5fto_5fmultiple',['ceil_to_multiple',['../namespacearm__compute.xhtml#ab237a0a375cf382d52b61653248d3d4a',1,'arm_compute']]],
@@ -46,6 +53,10 @@
   ['cell_5fto_5foutput_5fweights',['cell_to_output_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a934af5defc72f38841ce8955e2151473',1,'arm_compute::LSTMParams']]],
   ['cend',['cend',['../classarm__compute_1_1_dimensions.xhtml#afde273ebfa15fe83c690ad5cf6693c9f',1,'arm_compute::Dimensions::cend()'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a578325e8b0dc17e808d4a39f305ac2d2',1,'arm_compute::utils::iterable::reverse_iterable::cend()']]],
   ['center',['CENTER',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7bac397289ee45877be0cd49811fe245b4e',1,'arm_compute']]],
+  ['center_5fsize',['CENTER_SIZE',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830a1150a8d7752b01d30d91fe18fe9d8a54',1,'arm_compute']]],
+  ['ceq_2eh',['ceq.h',['../ceq_8h.xhtml',1,'']]],
+  ['cge_2eh',['cge.h',['../cge_8h.xhtml',1,'']]],
+  ['cgt_2eh',['cgt.h',['../cgt_8h.xhtml',1,'']]],
   ['channel',['CHANNEL',['../namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229',1,'arm_compute::CHANNEL()'],['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a',1,'arm_compute::Channel()']]],
   ['channel_5fcombine',['channel_combine',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad2b7a225c81e58726bad28af5f8d84c3',1,'arm_compute::test::validation::reference::channel_combine(const TensorShape &amp;shape, const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;image_planes, Format format)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a15a83291552130a09c9725895fa1f677',1,'arm_compute::test::validation::reference::channel_combine(const TensorShape &amp;shape, const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;image_planes, Format format)']]],
   ['channel_5fcombine_2ecl',['channel_combine.cl',['../channel__combine_8cl.xhtml',1,'']]],
@@ -79,6 +90,7 @@
   ['check_5fcorner',['CHECK_CORNER',['../fast__corners_8cl.xhtml#a2e2df45f46c673a1a5a1c8f4eb06aa09',1,'fast_corners.cl']]],
   ['check_5fnodeidx_5fpair',['CHECK_NODEIDX_PAIR',['../_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37',1,'GraphBuilder.cpp']]],
   ['check_5fpixel',['check_pixel',['../canny_8cl.xhtml#a64ee229d1bcee88c8017356d5d485650',1,'canny.cl']]],
+  ['check_5fvalue_5frange',['check_value_range',['../namespacearm__compute.xhtml#ad4fb37558f66dd33689292aebf4f843c',1,'arm_compute']]],
   ['cl',['cl',['../namespacecl.xhtml',1,'cl'],['../namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0',1,'arm_compute::graph::CL()']]],
   ['cl10',['CL10',['../namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea06e5b2cbe2f75bb5eec32613499cf22a',1,'arm_compute']]],
   ['cl11',['CL11',['../namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea80e95ed62d0c47e4d8c0696d467d4db3',1,'arm_compute']]],
@@ -125,41 +137,32 @@
   ['clactivationlayer_2ecpp',['CLActivationLayer.cpp',['../_c_l_activation_layer_8cpp.xhtml',1,'']]],
   ['clactivationlayer_2eh',['CLActivationLayer.h',['../_c_l_activation_layer_8h.xhtml',1,'']]],
   ['clactivationlayerfixture',['CLActivationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a74a10374253178ae54e1baab173698a1',1,'arm_compute::test::benchmark::CLActivationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292',1,'arm_compute::test::validation::CLActivationLayerFixture()']]],
+  ['clactivationlayerfixture_3c_20float_20_3e',['CLActivationLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae032868a7b7e2ac31a34e2e3d3fdd476',1,'arm_compute::test::validation']]],
   ['clactivationlayerkernel',['CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml',1,'CLActivationLayerKernel'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a25c6b2015d9ec0c05a1f561458b445f0',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a2d9fc9303a06c1a3748551b1730c128c',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a2ae4c0bb246318d6c9de355ded04f218',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel(CLActivationLayerKernel &amp;&amp;)=default']]],
   ['clactivationlayerkernel_2ecpp',['CLActivationLayerKernel.cpp',['../_c_l_activation_layer_kernel_8cpp.xhtml',1,'']]],
   ['clactivationlayerkernel_2eh',['CLActivationLayerKernel.h',['../_c_l_activation_layer_kernel_8h.xhtml',1,'']]],
-  ['clactivationlayerquantizedfixture',['CLActivationLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c1638f6b8f9dcffd5c6d6febaa88d20',1,'arm_compute::test::validation']]],
-  ['clamp',['CLAMP',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aabdbe431f2713c5c2604cb9872b66aab',1,'CLAMP():&#160;helpers.h'],['../namespacearm__compute_1_1utility.xhtml#a12c3c62f510452805c289e180ec78bb7',1,'arm_compute::utility::clamp()']]],
+  ['clamp',['clamp',['../namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624',1,'arm_compute::utility::clamp()'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aabdbe431f2713c5c2604cb9872b66aab',1,'CLAMP():&#160;helpers.h']]],
   ['clamp_5fto_5fborder',['clamp_to_border',['../warp__helpers_8h.xhtml#adbdf2ca9e8fe0b67f9359929ef743126',1,'warp_helpers.h']]],
   ['clamp_5fto_5fborder_5fquantized',['clamp_to_border_quantized',['../warp__helpers__quantized_8h.xhtml#a33c81135c18bd3881c3f5f36c25fe499',1,'warp_helpers_quantized.h']]],
   ['clamp_5fto_5fborder_5fwith_5fsize',['clamp_to_border_with_size',['../warp__helpers_8h.xhtml#aaef9851523cbc6f833700f0eb572002b',1,'warp_helpers.h']]],
   ['clamp_5fto_5fborder_5fwith_5fsize_5fquantized',['clamp_to_border_with_size_quantized',['../warp__helpers__quantized_8h.xhtml#aafa351a2c35f5f121921cee080c223d6',1,'warp_helpers_quantized.h']]],
+  ['clargminmaxlayer',['CLArgMinMaxLayer',['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml',1,'arm_compute']]],
+  ['clargminmaxlayer_2ecpp',['CLArgMinMaxLayer.cpp',['../_c_l_arg_min_max_layer_8cpp.xhtml',1,'']]],
+  ['clargminmaxlayer_2eh',['CLArgMinMaxLayer.h',['../_c_l_arg_min_max_layer_8h.xhtml',1,'']]],
+  ['clargminmaxvalidationfixture',['CLArgMinMaxValidationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4a8e82108e6766942b7cc373cee6c49',1,'arm_compute::test::validation']]],
+  ['clargminmaxvalidationfixture_3c_20float_20_3e',['CLArgMinMaxValidationFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aac57211bd84e03b296fa407fbfab6aae',1,'arm_compute::test::validation']]],
   ['clarithmeticaddition',['CLArithmeticAddition',['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml',1,'arm_compute']]],
-  ['clarithmeticaddition_2ecpp',['CLArithmeticAddition.cpp',['../_c_l_arithmetic_addition_8cpp.xhtml',1,'']]],
-  ['clarithmeticaddition_2eh',['CLArithmeticAddition.h',['../_c_l_arithmetic_addition_8h.xhtml',1,'']]],
   ['clarithmeticadditionbroadcastfixture',['CLArithmeticAdditionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a8246461ec236ef0d194b771f165db',1,'arm_compute::test::validation']]],
   ['clarithmeticadditionfixture',['CLArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6faaa6a770361529ed83471997cea631',1,'arm_compute::test::validation']]],
-  ['clarithmeticadditionkernel',['CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml',1,'CLArithmeticAdditionKernel'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#acf31277f55278d3b74ad6d2c5736801f',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a3caa56068548edba48b0f403fa4bfe52',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel(const CLArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#acda70274c0c028a5d82e407143cfc183',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel(CLArithmeticAdditionKernel &amp;&amp;)=default']]],
-  ['clarithmeticadditionkernel_2ecpp',['CLArithmeticAdditionKernel.cpp',['../_c_l_arithmetic_addition_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticadditionkernel_2eh',['CLArithmeticAdditionKernel.h',['../_c_l_arithmetic_addition_kernel_8h.xhtml',1,'']]],
   ['clarithmeticadditionquantizedfixture',['CLArithmeticAdditionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad84df5a0fdce2a53236c8c1b256c852b',1,'arm_compute::test::validation']]],
   ['clarithmeticdivision',['CLArithmeticDivision',['../classarm__compute_1_1_c_l_arithmetic_division.xhtml',1,'arm_compute']]],
-  ['clarithmeticdivision_2ecpp',['CLArithmeticDivision.cpp',['../_c_l_arithmetic_division_8cpp.xhtml',1,'']]],
-  ['clarithmeticdivision_2eh',['CLArithmeticDivision.h',['../_c_l_arithmetic_division_8h.xhtml',1,'']]],
   ['clarithmeticdivisionbroadcastfixture',['CLArithmeticDivisionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac91c705162f84cdbfdce90bdb135e2e4',1,'arm_compute::test::validation']]],
   ['clarithmeticdivisionfixture',['CLArithmeticDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af78d518c71cb02284c72e7271dc79c8f',1,'arm_compute::test::validation']]],
-  ['clarithmeticdivisionkernel',['CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml',1,'CLArithmeticDivisionKernel'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a37f82a3ebd082f363351967d27a6a574',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a24fbe10bbd3e395c17d6c367fc848956',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel(const CLArithmeticDivisionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a6678fe2133063d1333069662ab0849ca',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel(CLArithmeticDivisionKernel &amp;&amp;)=default']]],
-  ['clarithmeticdivisionkernel_2ecpp',['CLArithmeticDivisionKernel.cpp',['../_c_l_arithmetic_division_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticdivisionkernel_2eh',['CLArithmeticDivisionKernel.h',['../_c_l_arithmetic_division_kernel_8h.xhtml',1,'']]],
+  ['clarithmeticoperationkernel',['CLArithmeticOperationKernel',['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml',1,'CLArithmeticOperationKernel'],['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#af9d6d899047862af33fc919a1dcb35eb',1,'arm_compute::CLArithmeticOperationKernel::CLArithmeticOperationKernel()']]],
   ['clarithmeticsubtraction',['CLArithmeticSubtraction',['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml',1,'arm_compute']]],
-  ['clarithmeticsubtraction_2ecpp',['CLArithmeticSubtraction.cpp',['../_c_l_arithmetic_subtraction_8cpp.xhtml',1,'']]],
-  ['clarithmeticsubtraction_2eh',['CLArithmeticSubtraction.h',['../_c_l_arithmetic_subtraction_8h.xhtml',1,'']]],
   ['clarithmeticsubtractionbroadcastfixture',['CLArithmeticSubtractionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a763a6efeb0cf8b7c7471ada355088304',1,'arm_compute::test::validation']]],
   ['clarithmeticsubtractionfixture',['CLArithmeticSubtractionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06df93f59784a4e39289572b8808158f',1,'arm_compute::test::validation']]],
-  ['clarithmeticsubtractionfixture_3c_20half_20_3e',['CLArithmeticSubtractionFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9cdc678e82fee58737b3e48a82f849d2',1,'arm_compute::test::validation']]],
-  ['clarithmeticsubtractionkernel',['CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml',1,'CLArithmeticSubtractionKernel'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a9ab43fc014673aea8868c688f6ec07ef',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#acd0869ac17d2545d90808d792bb14ac7',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel(const CLArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#ac549d82dafac3de42b50cdf6d5d2131f',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel(CLArithmeticSubtractionKernel &amp;&amp;)=default']]],
-  ['clarithmeticsubtractionkernel_2ecpp',['CLArithmeticSubtractionKernel.cpp',['../_c_l_arithmetic_subtraction_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticsubtractionkernel_2eh',['CLArithmeticSubtractionKernel.h',['../_c_l_arithmetic_subtraction_kernel_8h.xhtml',1,'']]],
+  ['clarithmeticsubtractionquantizedfixture',['CLArithmeticSubtractionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80bb2f93e59c7ff9dbfb21a26db6825d',1,'arm_compute::test::validation']]],
   ['clarray',['CLArray',['../classarm__compute_1_1_c_l_array.xhtml',1,'CLArray&lt; T &gt;'],['../classarm__compute_1_1_c_l_array.xhtml#a7f8aa474d5cad1e1ab2aa1e597af4bf0',1,'arm_compute::CLArray::CLArray()'],['../classarm__compute_1_1_c_l_array.xhtml#aa5da2a7afb0be8e26c7159bce08bd897',1,'arm_compute::CLArray::CLArray(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#ac0353b2d5060b253f993b65804edb316',1,'arm_compute::CLArray::CLArray(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#aaa923d0abf2a3a5722a728f39411ad07',1,'arm_compute::CLArray::CLArray(size_t max_num_values)']]],
   ['clarray_2eh',['CLArray.h',['../_c_l_array_8h.xhtml',1,'']]],
   ['clarrayaccessor',['CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml',1,'CLArrayAccessor&lt; T &gt;'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a37b446cf629a04c7f1551e6e59b189cf',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(CLArray&lt; T &gt; &amp;array)'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a3513c433cf985dba83ce8a10621ffed3',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a4b221eb6997212f017221e3916c7cfa8',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(CLArrayAccessor &amp;&amp;)=default']]],
@@ -169,6 +172,7 @@
   ['clbatchnormalizationlayer_2eh',['CLBatchNormalizationLayer.h',['../_c_l_batch_normalization_layer_8h.xhtml',1,'']]],
   ['clbatchnormalizationlayerfixture',['CLBatchNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad',1,'arm_compute::test::benchmark::CLBatchNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68896a47b324b69e39f553ba14342a9a',1,'arm_compute::test::validation::CLBatchNormalizationLayerFixture()']]],
   ['clbatchnormalizationlayerfixture_3c_20half_20_3e',['CLBatchNormalizationLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4da3a5c737246cbb15c2c55c8b9f4f0f',1,'arm_compute::test::validation']]],
+  ['clbatchnormalizationlayerfusionfixture',['CLBatchNormalizationLayerFusionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc80af4a1a7ef6ad34b62706bcd60c28',1,'arm_compute::test::validation']]],
   ['clbatchnormalizationlayerkernel',['CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml',1,'CLBatchNormalizationLayerKernel'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ab987e77a362a53aa778193528bd8bb55',1,'arm_compute::CLBatchNormalizationLayerKernel::CLBatchNormalizationLayerKernel()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a8c69414da8666f8ce8b86555cada813d',1,'arm_compute::CLBatchNormalizationLayerKernel::CLBatchNormalizationLayerKernel(const CLBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ad4629474705ece1b64341456c6063431',1,'arm_compute::CLBatchNormalizationLayerKernel::CLBatchNormalizationLayerKernel(CLBatchNormalizationLayerKernel &amp;&amp;)=default']]],
   ['clbatchnormalizationlayerkernel_2ecpp',['CLBatchNormalizationLayerKernel.cpp',['../_c_l_batch_normalization_layer_kernel_8cpp.xhtml',1,'']]],
   ['clbatchnormalizationlayerkernel_2eh',['CLBatchNormalizationLayerKernel.h',['../_c_l_batch_normalization_layer_kernel_8h.xhtml',1,'']]],
@@ -236,10 +240,22 @@
   ['clcannyedgefixture',['CLCannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a89469af2cbb370c5d52db10de55fb092',1,'arm_compute::test::benchmark::CLCannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa23b2d3ec02af6063e45fc055e30b755',1,'arm_compute::test::validation::CLCannyEdgeFixture()']]],
   ['clcannyedgekernel_2ecpp',['CLCannyEdgeKernel.cpp',['../_c_l_canny_edge_kernel_8cpp.xhtml',1,'']]],
   ['clcannyedgekernel_2eh',['CLCannyEdgeKernel.h',['../_c_l_canny_edge_kernel_8h.xhtml',1,'']]],
+  ['clcast',['CLCast',['../classarm__compute_1_1_c_l_cast.xhtml',1,'arm_compute']]],
+  ['clcast_2ecpp',['CLCast.cpp',['../_c_l_cast_8cpp.xhtml',1,'']]],
+  ['clcast_2eh',['CLCast.h',['../_c_l_cast_8h.xhtml',1,'']]],
+  ['clcasttof16fixture',['CLCastToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af5a940ec8d72d65cbc2af63ebf9b09de',1,'arm_compute::test::validation']]],
+  ['clcasttof32fixture',['CLCastToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b111c1fdfd355c420fffb6034e5628a',1,'arm_compute::test::validation']]],
+  ['clcasttos16fixture',['CLCastToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a29a05bdcc12768e9c85edb49bb51bc98',1,'arm_compute::test::validation']]],
+  ['clcasttos32fixture',['CLCastToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acf6f3fb6ce79231767bc544534e8a013',1,'arm_compute::test::validation']]],
+  ['clcasttos8fixture',['CLCastToS8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aef352a0406e50dd73eec6d1ab2dc3e21',1,'arm_compute::test::validation']]],
+  ['clcasttou16fixture',['CLCastToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a29744907f1b0839155db7898652f2b36',1,'arm_compute::test::validation']]],
+  ['clcasttou32fixture',['CLCastToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afc90d080466bf0d5c1568b3311f8c368',1,'arm_compute::test::validation']]],
+  ['clcasttou8fixture',['CLCastToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cd3b8bab97649cc15f1c704fc71e2ad',1,'arm_compute::test::validation']]],
   ['clchannelcombine',['CLChannelCombine',['../classarm__compute_1_1_c_l_channel_combine.xhtml',1,'arm_compute']]],
   ['clchannelcombine_2ecpp',['CLChannelCombine.cpp',['../_c_l_channel_combine_8cpp.xhtml',1,'']]],
   ['clchannelcombine_2eh',['CLChannelCombine.h',['../_c_l_channel_combine_8h.xhtml',1,'']]],
   ['clchannelcombinefixture',['CLChannelCombineFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a562634a0f250b3afee086305408cb604',1,'arm_compute::test::validation']]],
+  ['clchannelcombinefixture_3c_20uint8_5ft_20_3e',['CLChannelCombineFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7db0f8bd43bbf6c64713eb300b88147',1,'arm_compute::test::validation']]],
   ['clchannelcombinekernel',['CLChannelCombineKernel',['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml',1,'CLChannelCombineKernel'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a2b466c5ae14bdd28b9b4f8a65dcd3d3a',1,'arm_compute::CLChannelCombineKernel::CLChannelCombineKernel()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a2fb1621df00aa255430f12d777beaaef',1,'arm_compute::CLChannelCombineKernel::CLChannelCombineKernel(const CLChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#ab7c4ff8fd2676ad6d99e71eb652c2d21',1,'arm_compute::CLChannelCombineKernel::CLChannelCombineKernel(CLChannelCombineKernel &amp;&amp;)=default']]],
   ['clchannelcombinekernel_2ecpp',['CLChannelCombineKernel.cpp',['../_c_l_channel_combine_kernel_8cpp.xhtml',1,'']]],
   ['clchannelcombinekernel_2eh',['CLChannelCombineKernel.h',['../_c_l_channel_combine_kernel_8h.xhtml',1,'']]],
@@ -247,6 +263,7 @@
   ['clchannelextract_2ecpp',['CLChannelExtract.cpp',['../_c_l_channel_extract_8cpp.xhtml',1,'']]],
   ['clchannelextract_2eh',['CLChannelExtract.h',['../_c_l_channel_extract_8h.xhtml',1,'']]],
   ['clchannelextractfixture',['CLChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a819e94712b5472297c3d0bf3f3875d58',1,'arm_compute::test::validation']]],
+  ['clchannelextractfixture_3c_20uint8_5ft_20_3e',['CLChannelExtractFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afe57531d503de0fb2c3da647e4ae26ef',1,'arm_compute::test::validation']]],
   ['clchannelextractkernel',['CLChannelExtractKernel',['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml',1,'CLChannelExtractKernel'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a3fdfc3c05d6e6970d2648138d43b59e9',1,'arm_compute::CLChannelExtractKernel::CLChannelExtractKernel()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a4a91d966993ad7c8b6251a6c32c67d23',1,'arm_compute::CLChannelExtractKernel::CLChannelExtractKernel(const CLChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a529220c75abfe2ed2cd9ab7310d593bb',1,'arm_compute::CLChannelExtractKernel::CLChannelExtractKernel(CLChannelExtractKernel &amp;&amp;)=default']]],
   ['clchannelextractkernel_2ecpp',['CLChannelExtractKernel.cpp',['../_c_l_channel_extract_kernel_8cpp.xhtml',1,'']]],
   ['clchannelextractkernel_2eh',['CLChannelExtractKernel.h',['../_c_l_channel_extract_kernel_8h.xhtml',1,'']]],
@@ -272,6 +289,15 @@
   ['clcolorconvertkernel',['CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml',1,'CLColorConvertKernel'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a4844aa081e1ca7adaf70257a962edfab',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#af355eadf00071679d1001308ee475969',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a936b4be67679ecbe92d21224301579a9',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel(CLColorConvertKernel &amp;&amp;)=default']]],
   ['clcolorconvertkernel_2ecpp',['CLColorConvertKernel.cpp',['../_c_l_color_convert_kernel_8cpp.xhtml',1,'']]],
   ['clcolorconvertkernel_2eh',['CLColorConvertKernel.h',['../_c_l_color_convert_kernel_8h.xhtml',1,'']]],
+  ['clcomparison',['CLComparison',['../classarm__compute_1_1_c_l_comparison.xhtml',1,'arm_compute']]],
+  ['clcomparison_2ecpp',['CLComparison.cpp',['../_c_l_comparison_8cpp.xhtml',1,'']]],
+  ['clcomparison_2eh',['CLComparison.h',['../_c_l_comparison_8h.xhtml',1,'']]],
+  ['clcomparisonfixture',['CLComparisonFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c2a6dfcd2229857f94b39697278d32c',1,'arm_compute::test::validation']]],
+  ['clcomparisonfixture_3c_20float_20_3e',['CLComparisonFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae989b1c279159f8260b216fc7063a960',1,'arm_compute::test::validation']]],
+  ['clcomparisonkernel',['CLComparisonKernel',['../classarm__compute_1_1_c_l_comparison_kernel.xhtml',1,'CLComparisonKernel'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#af727ecec8e36519d9369dbee5a0aa10a',1,'arm_compute::CLComparisonKernel::CLComparisonKernel()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a409286ecf8c2ffb79f218f7dc24676d2',1,'arm_compute::CLComparisonKernel::CLComparisonKernel(const CLComparisonKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a11b186c4a2b41c6a7cd562b2990a26b1',1,'arm_compute::CLComparisonKernel::CLComparisonKernel(CLComparisonKernel &amp;&amp;)=default']]],
+  ['clcomparisonkernel_2ecpp',['CLComparisonKernel.cpp',['../_c_l_comparison_kernel_8cpp.xhtml',1,'']]],
+  ['clcomparisonkernel_2eh',['CLComparisonKernel.h',['../_c_l_comparison_kernel_8h.xhtml',1,'']]],
+  ['clcomparisonstatic',['CLComparisonStatic',['../classarm__compute_1_1_c_l_comparison_static.xhtml',1,'arm_compute']]],
   ['clcomputeallanchors',['CLComputeAllAnchors',['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml',1,'arm_compute']]],
   ['clcomputeallanchors_2ecpp',['CLComputeAllAnchors.cpp',['../_c_l_compute_all_anchors_8cpp.xhtml',1,'']]],
   ['clcomputeallanchors_2eh',['CLComputeAllAnchors.h',['../_c_l_compute_all_anchors_8h.xhtml',1,'']]],
@@ -299,6 +325,7 @@
   ['clconvolution9x9',['CLConvolution9x9',['../namespacearm__compute.xhtml#a587dee5d7f05d5e9c3b8704ae8927101',1,'arm_compute']]],
   ['clconvolution9x9kernel',['CLConvolution9x9Kernel',['../namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607',1,'arm_compute']]],
   ['clconvolutionfixture',['CLConvolutionFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f7e7c1722bc3888fa72a9d5ec9756ec',1,'arm_compute::test::benchmark::CLConvolutionFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65eece68a5004908363ee0e6dde74570',1,'arm_compute::test::validation::CLConvolutionFixture()']]],
+  ['clconvolutionfixture_3c_20int16_5ft_20_3e',['CLConvolutionFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7b8750333f6deb8cfd74260acb14ead',1,'arm_compute::test::validation']]],
   ['clconvolutionkernel',['CLConvolutionKernel',['../classarm__compute_1_1_c_l_convolution_kernel.xhtml',1,'arm_compute']]],
   ['clconvolutionkernel_2ecpp',['CLConvolutionKernel.cpp',['../_c_l_convolution_kernel_8cpp.xhtml',1,'']]],
   ['clconvolutionkernel_2eh',['CLConvolutionKernel.h',['../_c_l_convolution_kernel_8h.xhtml',1,'']]],
@@ -378,7 +405,7 @@
   ['cldepthwiseconvolutionlayer',['CLDepthwiseConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml',1,'CLDepthwiseConvolutionLayer'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a0d4e3a90bcdef691edfe09c701088e74',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a91056f09fefa0be08223e916425b827d',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a5b2efd4922b45d088b93a16b83edc78c',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(CLDepthwiseConvolutionLayer &amp;&amp;)=default']]],
   ['cldepthwiseconvolutionlayer_2ecpp',['CLDepthwiseConvolutionLayer.cpp',['../_c_l_depthwise_convolution_layer_8cpp.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer_2eh',['CLDepthwiseConvolutionLayer.h',['../_c_l_depthwise_convolution_layer_8h.xhtml',1,'']]],
-  ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'CLDepthwiseConvolutionLayer3x3'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a7dd467b8b44b5e4cf6cdefe807a874b3',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3()']]],
+  ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'CLDepthwiseConvolutionLayer3x3'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ac2d0894cb8f94dccd20d71ed5140a70c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ab98e7a9e71a4ca2fbd69aeb117697283',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(const CLDepthwiseConvolutionLayer3x3 &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#adc762e3201b5fc3e66102b3150eb03d4',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(CLDepthwiseConvolutionLayer3x3 &amp;&amp;)=default']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel',['CLDepthwiseConvolutionLayer3x3NCHWKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml',1,'CLDepthwiseConvolutionLayer3x3NCHWKernel'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#affbc30547225b3ad1155336a4c6c000c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::CLDepthwiseConvolutionLayer3x3NCHWKernel()']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel_2ecpp',['CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp',['../_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel_2eh',['CLDepthwiseConvolutionLayer3x3NCHWKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel_8h.xhtml',1,'']]],
@@ -386,9 +413,13 @@
   ['cldepthwiseconvolutionlayer3x3nhwckernel_2ecpp',['CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer3x3nhwckernel_2eh',['CLDepthwiseConvolutionLayer3x3NHWCKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayerfixture',['CLDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3b4fdd4e87ff1c0b97c9844a26307eb9',1,'arm_compute::test::benchmark::CLDepthwiseConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce',1,'arm_compute::test::validation::CLDepthwiseConvolutionLayerFixture()']]],
-  ['cldepthwiseconvolutionlayerfixture3x3',['CLDepthwiseConvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a9bd286acadddcc148429b00ac027d7',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerquantizedfixture',['CLDepthwiseConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af5ad79218ce618faeba270aa32dd6583',1,'arm_compute::test::validation']]],
-  ['cldepthwiseconvolutionlayerquantizedfixture3x3',['CLDepthwiseConvolutionLayerQuantizedFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b6597eabb0e3d07b1cac9fa7c56daa',1,'arm_compute::test::validation']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml',1,'CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a56fa578d444eccfed99d7357a7cff025',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a06df1b823eadb190263406f4d0ec409f',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel(const CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a1e062c27cbc4616bdfc0b54758bee26e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel(CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;&amp;)=default']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8cpp.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8h.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel',['CLDepthwiseConvolutionLayerReshapeWeightsKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml',1,'CLDepthwiseConvolutionLayerReshapeWeightsKernel'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a141238606fbb4cf68e39c945478fac80',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#af668857be9ceb43d4b288180e7ab7ef7',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel(const CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a35e3321a8be273d787da9866c27450fb',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel(CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;&amp;)=default']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8cpp.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseim2colkernel',['CLDepthwiseIm2ColKernel',['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml',1,'CLDepthwiseIm2ColKernel'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a8c127dc1b50728c479d63a7347926920',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a5b6cbd351d95ec688c6771fafed56e6f',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#abc62f33ff91e3178810bda77da7e0a57',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel(CLDepthwiseIm2ColKernel &amp;&amp;)=default']]],
   ['cldepthwiseim2colkernel_2ecpp',['CLDepthwiseIm2ColKernel.cpp',['../_c_l_depthwise_im2_col_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwiseim2colkernel_2eh',['CLDepthwiseIm2ColKernel.h',['../_c_l_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
@@ -399,9 +430,6 @@
   ['cldepthwisevectortotensorkernel',['CLDepthwiseVectorToTensorKernel',['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml',1,'CLDepthwiseVectorToTensorKernel'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#ad57d6082a0e790ddc0fd66063ffbbc86',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a03b77603c8bda9e9c873aa120016ca9c',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a084d7e99f8a194226d6551ed63fcce61',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default']]],
   ['cldepthwisevectortotensorkernel_2ecpp',['CLDepthwiseVectorToTensorKernel.cpp',['../_c_l_depthwise_vector_to_tensor_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwisevectortotensorkernel_2eh',['CLDepthwiseVectorToTensorKernel.h',['../_c_l_depthwise_vector_to_tensor_kernel_8h.xhtml',1,'']]],
-  ['cldepthwiseweightsreshapekernel',['CLDepthwiseWeightsReshapeKernel',['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml',1,'CLDepthwiseWeightsReshapeKernel'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a68723f2975daa41357f7021452fb344b',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a68f3b41840ca2faa0c759a518a858169',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel(const CLDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a8c79af1ae1a1e433675bf152ff8c4330',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel(CLDepthwiseWeightsReshapeKernel &amp;&amp;)=default']]],
-  ['cldepthwiseweightsreshapekernel_2ecpp',['CLDepthwiseWeightsReshapeKernel.cpp',['../_c_l_depthwise_weights_reshape_kernel_8cpp.xhtml',1,'']]],
-  ['cldepthwiseweightsreshapekernel_2eh',['CLDepthwiseWeightsReshapeKernel.h',['../_c_l_depthwise_weights_reshape_kernel_8h.xhtml',1,'']]],
   ['cldequantizationlayer',['CLDequantizationLayer',['../classarm__compute_1_1_c_l_dequantization_layer.xhtml',1,'CLDequantizationLayer'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#adaff01149002af4e16a6ab19bb785902',1,'arm_compute::CLDequantizationLayer::CLDequantizationLayer()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a0a498fb264f4d607c52cc481397dd745',1,'arm_compute::CLDequantizationLayer::CLDequantizationLayer(const CLDequantizationLayer &amp;)=delete']]],
   ['cldequantizationlayer_2ecpp',['CLDequantizationLayer.cpp',['../_c_l_dequantization_layer_8cpp.xhtml',1,'']]],
   ['cldequantizationlayer_2eh',['CLDequantizationLayer.h',['../_c_l_dequantization_layer_8h.xhtml',1,'']]],
@@ -454,6 +482,28 @@
   ['clear_5ftest_5finfo',['clear_test_info',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#afb6a973ccd27225a87d59d93ca458720',1,'arm_compute::test::framework::Framework']]],
   ['cledgenonmaxsuppressionkernel',['CLEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml',1,'CLEdgeNonMaxSuppressionKernel'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a594c3386342734f366460fccc6171c98',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::CLEdgeNonMaxSuppressionKernel()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a9582b4541bbf86edf4f564ddd430af4b',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::CLEdgeNonMaxSuppressionKernel(const CLEdgeNonMaxSuppressionKernel &amp;)=delete']]],
   ['cledgetracekernel',['CLEdgeTraceKernel',['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml',1,'CLEdgeTraceKernel'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a148f844f5f772a8f9748b497e2b01615',1,'arm_compute::CLEdgeTraceKernel::CLEdgeTraceKernel()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a420e0af90c5d9c001b895f479e311a56',1,'arm_compute::CLEdgeTraceKernel::CLEdgeTraceKernel(const CLEdgeTraceKernel &amp;)=delete']]],
+  ['clelementwisemax',['CLElementwiseMax',['../classarm__compute_1_1_c_l_elementwise_max.xhtml',1,'arm_compute']]],
+  ['clelementwisemaxbroadcastfixture',['CLElementwiseMaxBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a884f219533cec92bfee0f7a1d626b62c',1,'arm_compute::test::validation']]],
+  ['clelementwisemaxfixture',['CLElementwiseMaxFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e7919bb6e292418417e018b8290e95f',1,'arm_compute::test::validation']]],
+  ['clelementwisemaxquantizedfixture',['CLElementwiseMaxQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c60a19f7f4627833a31ca32ec5d8b1',1,'arm_compute::test::validation']]],
+  ['clelementwisemin',['CLElementwiseMin',['../classarm__compute_1_1_c_l_elementwise_min.xhtml',1,'arm_compute']]],
+  ['clelementwiseminbroadcastfixture',['CLElementwiseMinBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adbaeb48db56dd0a41e5e60f98eed1ae1',1,'arm_compute::test::validation']]],
+  ['clelementwiseminfixture',['CLElementwiseMinFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a16b2b6dde678ad3c4ba72fb9b54ebcdf',1,'arm_compute::test::validation']]],
+  ['clelementwiseminquantizedfixture',['CLElementwiseMinQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5486c0e964412fe058ec3dd76c53b924',1,'arm_compute::test::validation']]],
+  ['clelementwiseoperationkernel',['CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml',1,'CLElementwiseOperationKernel'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#aea9d74134fe47de37e4162a905d5bba9',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#acf806d200f910152564b54aec8296508',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel(const CLElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#aa64b683c639684a1c4e581e5f91eb3c2',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel(CLElementwiseOperationKernel &amp;&amp;)=default']]],
+  ['clelementwiseoperationkernel_2ecpp',['CLElementwiseOperationKernel.cpp',['../_c_l_elementwise_operation_kernel_8cpp.xhtml',1,'']]],
+  ['clelementwiseoperationkernel_2eh',['CLElementwiseOperationKernel.h',['../_c_l_elementwise_operation_kernel_8h.xhtml',1,'']]],
+  ['clelementwiseoperations_2ecpp',['CLElementwiseOperations.cpp',['../_c_l_elementwise_operations_8cpp.xhtml',1,'']]],
+  ['clelementwiseoperations_2eh',['CLElementwiseOperations.h',['../_c_l_elementwise_operations_8h.xhtml',1,'']]],
+  ['clelementwisesquareddiff',['CLElementwiseSquaredDiff',['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml',1,'arm_compute']]],
+  ['clelementwisesquareddiffbroadcastfixture',['CLElementwiseSquaredDiffBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c2ef1e913d91050a50463c4890d977d',1,'arm_compute::test::validation']]],
+  ['clelementwisesquareddifffixture',['CLElementwiseSquaredDiffFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac93dffba58280b2ff64ae94f278fd0f4',1,'arm_compute::test::validation']]],
+  ['clelementwisesquareddiffquantizedfixture',['CLElementwiseSquaredDiffQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acb491565f94333d6aecdeb7271b26567',1,'arm_compute::test::validation']]],
+  ['clelementwiseunarylayer_2ecpp',['CLElementWiseUnaryLayer.cpp',['../_c_l_element_wise_unary_layer_8cpp.xhtml',1,'']]],
+  ['clelementwiseunarylayer_2eh',['CLElementWiseUnaryLayer.h',['../_c_l_element_wise_unary_layer_8h.xhtml',1,'']]],
+  ['clelementwiseunarylayerkernel',['CLElementWiseUnaryLayerKernel',['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clelementwiseunarylayerkernel_2ecpp',['CLElementWiseUnaryLayerKernel.cpp',['../_c_l_element_wise_unary_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clelementwiseunarylayerkernel_2eh',['CLElementWiseUnaryLayerKernel.h',['../_c_l_element_wise_unary_layer_kernel_8h.xhtml',1,'']]],
   ['clenqueuemapbuffer',['clEnqueueMapBuffer',['../_open_c_l_8cpp.xhtml#a9039d2fa3d129a08baa1c49abf2f07fb',1,'OpenCL.cpp']]],
   ['clenqueuemapbuffer_5fptr',['clEnqueueMapBuffer_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#abd0ba6c593ff83cb0c3d0e1b746f068a',1,'arm_compute::CLSymbols']]],
   ['clenqueuemarker',['clEnqueueMarker',['../_open_c_l_8cpp.xhtml#a43d9a36e38a16e503e0bbdc7b2f81f12',1,'OpenCL.cpp']]],
@@ -470,6 +520,7 @@
   ['clenqueueunmapmemobject_5fptr',['clEnqueueUnmapMemObject_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#aab857577e126a171222277703b724639',1,'arm_compute::CLSymbols']]],
   ['clenqueuewritebuffer',['clEnqueueWriteBuffer',['../_open_c_l_8cpp.xhtml#a8301eaffd71b5aeae60dc9e3afdf8c9b',1,'OpenCL.cpp']]],
   ['clenqueuewritebuffer_5fptr',['clEnqueueWriteBuffer_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a3085f45d872eda6b1adf8557fd4915b9',1,'arm_compute::CLSymbols']]],
+  ['clequal',['CLEqual',['../namespacearm__compute.xhtml#a18e76ae589217a65f77b971de3f3f65a',1,'arm_compute']]],
   ['clequalizehistogram',['CLEqualizeHistogram',['../classarm__compute_1_1_c_l_equalize_histogram.xhtml',1,'CLEqualizeHistogram'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#a1edc340b1cd348c89f088a0698a8b129',1,'arm_compute::CLEqualizeHistogram::CLEqualizeHistogram()']]],
   ['clequalizehistogram_2ecpp',['CLEqualizeHistogram.cpp',['../_c_l_equalize_histogram_8cpp.xhtml',1,'']]],
   ['clequalizehistogram_2eh',['CLEqualizeHistogram.h',['../_c_l_equalize_histogram_8h.xhtml',1,'']]],
@@ -481,6 +532,9 @@
   ['clerodekernel',['CLErodeKernel',['../classarm__compute_1_1_c_l_erode_kernel.xhtml',1,'arm_compute']]],
   ['clerodekernel_2ecpp',['CLErodeKernel.cpp',['../_c_l_erode_kernel_8cpp.xhtml',1,'']]],
   ['clerodekernel_2eh',['CLErodeKernel.h',['../_c_l_erode_kernel_8h.xhtml',1,'']]],
+  ['clexplayer',['CLExpLayer',['../classarm__compute_1_1_c_l_exp_layer.xhtml',1,'arm_compute']]],
+  ['clexplayerfixture',['CLExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d8eac94a68a9181593785b6aa8e5719',1,'arm_compute::test::validation']]],
+  ['clexplayerfixture_3c_20float_20_3e',['CLExpLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9b221b1cfce08c7aaac0e4749e3ccc',1,'arm_compute::test::validation']]],
   ['clfastcorners',['CLFastCorners',['../classarm__compute_1_1_c_l_fast_corners.xhtml',1,'CLFastCorners'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#abf3c8df776ac70ec434297d775ad0385',1,'arm_compute::CLFastCorners::CLFastCorners(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad6e12ec23a51a2963b4716cb7a59a40e',1,'arm_compute::CLFastCorners::CLFastCorners(const CLFastCorners &amp;)=delete']]],
   ['clfastcorners_2ecpp',['CLFastCorners.cpp',['../_c_l_fast_corners_8cpp.xhtml',1,'']]],
   ['clfastcorners_2eh',['CLFastCorners.h',['../_c_l_fast_corners_8h.xhtml',1,'']]],
@@ -531,6 +585,16 @@
   ['clfusebatchnormalizationkernel',['CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml',1,'CLFuseBatchNormalizationKernel'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a61eeb0b6bee8d0fcaef769af0954bc09',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#af9fc5f28abe40d7f4708210577e17339',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#ab1716898281973b7ac089e16d5c546b6',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel(CLFuseBatchNormalizationKernel &amp;&amp;)=default']]],
   ['clfusebatchnormalizationkernel_2ecpp',['CLFuseBatchNormalizationKernel.cpp',['../_c_l_fuse_batch_normalization_kernel_8cpp.xhtml',1,'']]],
   ['clfusebatchnormalizationkernel_2eh',['CLFuseBatchNormalizationKernel.h',['../_c_l_fuse_batch_normalization_kernel_8h.xhtml',1,'']]],
+  ['clgather',['CLGather',['../classarm__compute_1_1_c_l_gather.xhtml',1,'arm_compute']]],
+  ['clgather_2ecpp',['CLGather.cpp',['../_c_l_gather_8cpp.xhtml',1,'']]],
+  ['clgather_2eh',['CLGather.h',['../_c_l_gather_8h.xhtml',1,'']]],
+  ['clgatherfixture',['CLGatherFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae361cc82341e68eb36d93aa47fc2d47a',1,'arm_compute::test::validation']]],
+  ['clgatherfixture_3c_20float_20_3e',['CLGatherFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac99a665edea18225214806210640b0de',1,'arm_compute::test::validation']]],
+  ['clgatherfixture_3c_20uint16_5ft_20_3e',['CLGatherFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a613286ae289112c3a097b8a839fb1bc1',1,'arm_compute::test::validation']]],
+  ['clgatherfixture_3c_20uint8_5ft_20_3e',['CLGatherFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a02abc0dde7cc34397661399fea8e43ad',1,'arm_compute::test::validation']]],
+  ['clgatherkernel',['CLGatherKernel',['../classarm__compute_1_1_c_l_gather_kernel.xhtml',1,'CLGatherKernel'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a16fb805daf89361b5b4a79e97f13c550',1,'arm_compute::CLGatherKernel::CLGatherKernel()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#ae659f9f8c883f964ccccaf8cd499e5e9',1,'arm_compute::CLGatherKernel::CLGatherKernel(const CLGatherKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a1dc5b5e36d930aa3f6cdbafa248a5635',1,'arm_compute::CLGatherKernel::CLGatherKernel(CLGatherKernel &amp;&amp;)=default']]],
+  ['clgatherkernel_2ecpp',['CLGatherKernel.cpp',['../_c_l_gather_kernel_8cpp.xhtml',1,'']]],
+  ['clgatherkernel_2eh',['CLGatherKernel.h',['../_c_l_gather_kernel_8h.xhtml',1,'']]],
   ['clgaussian3x3',['CLGaussian3x3',['../classarm__compute_1_1_c_l_gaussian3x3.xhtml',1,'arm_compute']]],
   ['clgaussian3x3_2ecpp',['CLGaussian3x3.cpp',['../_c_l_gaussian3x3_8cpp.xhtml',1,'']]],
   ['clgaussian3x3_2eh',['CLGaussian3x3.h',['../_c_l_gaussian3x3_8h.xhtml',1,'']]],
@@ -567,7 +631,7 @@
   ['clgemmconvolutionlayerfixture_3c_20float_20_3e',['CLGEMMConvolutionLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f3dc00a54fa25a6e8d565b5c8b56ea0',1,'arm_compute::test::validation']]],
   ['clgemmdilatedconvolutionlayerfixture',['CLGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f5a8c7b313666262640d9bdadea75cf',1,'arm_compute::test::validation']]],
   ['clgemmdilatedconvolutionlayerquantizedfixture',['CLGEMMDilatedConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac214a4380d88dd18fe907a686d29ad56',1,'arm_compute::test::validation']]],
-  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark::CLGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02a82a5e8cc3d3a54da7fd340f9bc81b',1,'arm_compute::test::validation::CLGEMMFixture()']]],
+  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark']]],
   ['clgemmfixture_3c_20half_20_3e',['CLGEMMFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ab157e439f3926f37c01f323ea8715e',1,'arm_compute::test::validation']]],
   ['clgemmgroupedconvolutionlayerfixture_3c_20half_20_3e',['CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#adda980a6f6ff459cb9b0a1720cd8fbe8',1,'arm_compute::test::validation']]],
   ['clgemminputoutput3dfixture',['CLGEMMInputOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e33e708dcd8f877cd5b8a9e9bb68017',1,'arm_compute::test::validation']]],
@@ -575,7 +639,7 @@
   ['clgemminterleave4x4',['CLGEMMInterleave4x4',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml',1,'CLGEMMInterleave4x4'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ba36b2bb455fe3e2c73534ed8b5bee7',1,'arm_compute::test::validation::CLGEMMInterleave4x4()']]],
   ['clgemminterleave4x4_2ecpp',['CLGEMMInterleave4x4.cpp',['../_c_l_g_e_m_m_interleave4x4_8cpp.xhtml',1,'']]],
   ['clgemminterleave4x4_2eh',['CLGEMMInterleave4x4.h',['../_c_l_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
-  ['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4487a082d102c670f6ee49d3ad48f47c',1,'arm_compute::test::benchmark::CLGEMMInterleave4x4Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation::CLGEMMInterleave4x4Fixture()']]],
+  ['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation']]],
   ['clgemminterleave4x4kernel',['CLGEMMInterleave4x4Kernel',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml',1,'CLGEMMInterleave4x4Kernel'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a4023b128129764d7d24882a5642fe49f',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a9f747ba6cad1650cd0184041de875411',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56f2f1474dd673f0f8d9df3ce377f33d',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel(CLGEMMInterleave4x4Kernel &amp;&amp;)=default']]],
   ['clgemminterleave4x4kernel_2ecpp',['CLGEMMInterleave4x4Kernel.cpp',['../_c_l_g_e_m_m_interleave4x4_kernel_8cpp.xhtml',1,'']]],
   ['clgemminterleave4x4kernel_2eh',['CLGEMMInterleave4x4Kernel.h',['../_c_l_g_e_m_m_interleave4x4_kernel_8h.xhtml',1,'']]],
@@ -590,6 +654,12 @@
   ['clgemmlowpmatrixmultiplykernel',['CLGEMMLowpMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml',1,'CLGEMMLowpMatrixMultiplyKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a759d01d5376a17c7b81131212588810a',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a5f55c40f31bba46fa72429c820ff8139',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#afdcbb16be23445f565801d54201c9b1d',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default']]],
   ['clgemmlowpmatrixmultiplykernel_2ecpp',['CLGEMMLowpMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplykernel_2eh',['CLGEMMLowpMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplyreshaped',['CLGEMMLowpMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a466155694911d5db69f50b4cb56dfbe1',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshaped3dfixture',['CLGEMMLowpMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56cabea40d0a68a8f796020685c384fe',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshapedfixture',['CLGEMMLowpMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1eabbfb6cceb82af7619ea6fcdea1863',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel',['CLGEMMLowpMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml',1,'CLGEMMLowpMatrixMultiplyReshapedKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#af7c1cf2778fc2159d1336d6448c419b9',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#aa04900785e36c7784e44a775bccc4238',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel(const CLGEMMLowpMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a5cadcffcb9b16ece1b1a4455031d5133',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel(CLGEMMLowpMatrixMultiplyReshapedKernel &amp;&amp;)=default']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel_2eh',['CLGEMMLowpMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'CLGEMMLowpOffsetContributionKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#af9118245ab756bce27f29a5869b8e824',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a7447eaf5064d966d8c92b4cdc1e9e129',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a72ea70be863cd3f4f4239df7e8c37bcb',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default']]],
   ['clgemmlowpoffsetcontributionkernel_2ecpp',['CLGEMMLowpOffsetContributionKernel.cpp',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpoffsetcontributionkernel_2eh',['CLGEMMLowpOffsetContributionKernel.h',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h.xhtml',1,'']]],
@@ -623,12 +693,41 @@
   ['clgemmmatrixmultiplykernel',['CLGEMMMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml',1,'CLGEMMMatrixMultiplyKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ac46a1c8a20b46838c9e894f703ddd3ee',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ab7ab139607e3a7812f2a7eb941ac7aa8',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a4805eb2e5f4597f660f41753e9748eb8',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default']]],
   ['clgemmmatrixmultiplykernel_2ecpp',['CLGEMMMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixmultiplykernel_2eh',['CLGEMMMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50b165b25b7da7df9a788d5d62f48855',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshaped3dfixture',['CLGEMMMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a190fe7a9395c7506255fd387eb1be2',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshapedfixture',['CLGEMMMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a10eacde4892fc6fdb56211ef534edaf6',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshapedfixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyReshapedFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a28fa6d5e29c077ffe9ea832d28db32d6',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml',1,'CLGEMMMatrixMultiplyReshapedKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5601cf101c7a07fa844af0d0563a1766',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel(const CLGEMMMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ad23a3656538e734ccfc02d83739002ad',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel(CLGEMMMatrixMultiplyReshapedKernel &amp;&amp;)=default']]],
+  ['clgemmmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmmatrixmultiplyreshapedkernel_2eh',['CLGEMMMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel',['CLGEMMMatrixVectorMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml',1,'CLGEMMMatrixVectorMultiplyKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a197b8558b1806d275f421b0667d201b2',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0921fc687913f0f60f8bce6e64acc193',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a99227cdd269f8843bc11a5f3ca64ac2e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default']]],
   ['clgemmmatrixvectormultiplykernel_2ecpp',['CLGEMMMatrixVectorMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel_2eh',['CLGEMMMatrixVectorMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml',1,'']]],
   ['clgemmoutput3dfixture',['CLGEMMOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af493d098e0b392ecf7fd8eab4fa97342',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20float_20_3e',['CLGEMMOutput3DFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f88e4be563eecf18673c5a3d2022983',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20half_20_3e',['CLGEMMOutput3DFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ed53b7dcef1a0632bcb19c6543b565',1,'arm_compute::test::validation']]],
+  ['clgemmreshapedconfiguration_2eh',['CLGEMMReshapedConfiguration.h',['../_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
+  ['clgemmreshapedconfigurationbifrost',['CLGEMMReshapedConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
+  ['clgemmreshapedconfigurationbifrost_2ecpp',['CLGEMMReshapedConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8cpp.xhtml',1,'']]],
+  ['clgemmreshapedconfigurationbifrost_2eh',['CLGEMMReshapedConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8h.xhtml',1,'']]],
+  ['clgemmreshapedconfigurationfactory',['CLGEMMReshapedConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
+  ['clgemmreshapelhsmatrix',['CLGEMMReshapeLHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a192c089a799e8995532f460afbc8f7ab',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture',['CLGEMMReshapeLHSMatrix3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a670407d9a85f9e7f95ceb2f6131edd8f',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture_3c_20char_20_3e',['CLGEMMReshapeLHSMatrix3DFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f75ceb7e31f376cf7045e808e2dda9f',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture_3c_20short_20_3e',['CLGEMMReshapeLHSMatrix3DFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4598e7402ca861ad7612ff3fd7064fea',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture',['CLGEMMReshapeLHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5421498ced7e1d84398e7089e8676698',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture_3c_20char_20_3e',['CLGEMMReshapeLHSMatrixFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa68e5b214108fc35394b35831a9d834',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture_3c_20short_20_3e',['CLGEMMReshapeLHSMatrixFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15438f2dd36e0e42c2e8aaf4b19e4f3c',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixkernel',['CLGEMMReshapeLHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml',1,'CLGEMMReshapeLHSMatrixKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ac255562bb8d6f74e1fe027183ee998d1',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a36bd4d2a7859f1415d92760fb01bf093',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel(const CLGEMMReshapeLHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a52464943a5cce8670525712841a0c8e0',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel(CLGEMMReshapeLHSMatrixKernel &amp;&amp;)=default']]],
+  ['clgemmreshapelhsmatrixkernel_2ecpp',['CLGEMMReshapeLHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmreshapelhsmatrixkernel_2eh',['CLGEMMReshapeLHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml',1,'']]],
+  ['clgemmreshaperhsmatrix',['CLGEMMReshapeRHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a271f3aaba51bc5f0476207e081b5d218',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture',['CLGEMMReshapeRHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8940bafe88f119d432694269bb00b054',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture_3c_20char_20_3e',['CLGEMMReshapeRHSMatrixFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6168c2c476de177e3f43be2e6efb8757',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture_3c_20short_20_3e',['CLGEMMReshapeRHSMatrixFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a072c9343d5a95a8cf0ab1c44cb8d4940',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixkernel',['CLGEMMReshapeRHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml',1,'CLGEMMReshapeRHSMatrixKernel'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a9b7ed5232110c8f5e090bda81bfb8734',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a97a35a0d17de348433787eac2c4b473b',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel(const CLGEMMReshapeRHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#abdba40561ddcd1c978c4637d1b55fa97',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel(CLGEMMReshapeRHSMatrixKernel &amp;&amp;)=default']]],
+  ['clgemmreshaperhsmatrixkernel_2ecpp',['CLGEMMReshapeRHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmreshaperhsmatrixkernel_2eh',['CLGEMMReshapeRHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h.xhtml',1,'']]],
   ['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml',1,'CLGEMMTranspose1xW'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c12b8c19f4e7f45756d4a4dcb4c3156',1,'arm_compute::test::validation::CLGEMMTranspose1xW()']]],
   ['clgemmtranspose1xw_2ecpp',['CLGEMMTranspose1xW.cpp',['../_c_l_g_e_m_m_transpose1x_w_8cpp.xhtml',1,'']]],
   ['clgemmtranspose1xw_2eh',['CLGEMMTranspose1xW.h',['../_c_l_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
@@ -665,6 +764,8 @@
   ['clgetprograminfo_5fptr',['clGetProgramInfo_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a38787d16b9a4ccb79f11c9e807b31f39',1,'arm_compute::CLSymbols']]],
   ['clglobalpoolinglayerfixture',['CLGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae325848d601b17aee0a81064a15ef1eb',1,'arm_compute::test::validation']]],
   ['clgradientkernel',['CLGradientKernel',['../classarm__compute_1_1_c_l_gradient_kernel.xhtml',1,'CLGradientKernel'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a9fc0a3b7d23e9f71e5f2ea13d51e3c11',1,'arm_compute::CLGradientKernel::CLGradientKernel()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a9a6d86fb428ad47df0aa5d8b18cb1d21',1,'arm_compute::CLGradientKernel::CLGradientKernel(const CLGradientKernel &amp;)=delete']]],
+  ['clgreater',['CLGreater',['../namespacearm__compute.xhtml#ab9b18840e11edcbeafcd80d4c44b80cb',1,'arm_compute']]],
+  ['clgreaterequal',['CLGreaterEqual',['../namespacearm__compute.xhtml#ade630074f2c9d58d64c399bd6b49bc56',1,'arm_compute']]],
   ['clharriscorners',['CLHarrisCorners',['../classarm__compute_1_1_c_l_harris_corners.xhtml',1,'CLHarrisCorners'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#a1bfa76c1300bf9352b699079c14834f9',1,'arm_compute::CLHarrisCorners::CLHarrisCorners(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ac9345392fa221be2457c00523865e3ae',1,'arm_compute::CLHarrisCorners::CLHarrisCorners(const CLHarrisCorners &amp;)=delete']]],
   ['clharriscorners_2ecpp',['CLHarrisCorners.cpp',['../_c_l_harris_corners_8cpp.xhtml',1,'']]],
   ['clharriscorners_2eh',['CLHarrisCorners.h',['../_c_l_harris_corners_8h.xhtml',1,'']]],
@@ -672,8 +773,8 @@
   ['clharriscornerskernel_2ecpp',['CLHarrisCornersKernel.cpp',['../_c_l_harris_corners_kernel_8cpp.xhtml',1,'']]],
   ['clharriscornerskernel_2eh',['CLHarrisCornersKernel.h',['../_c_l_harris_corners_kernel_8h.xhtml',1,'']]],
   ['clharrisscorekernel',['CLHarrisScoreKernel',['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml',1,'CLHarrisScoreKernel'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a7b4ed31faff8ec0909befc47a18d02e2',1,'arm_compute::CLHarrisScoreKernel::CLHarrisScoreKernel()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#ac391eaea49e58ce854f18cde0cdea3b7',1,'arm_compute::CLHarrisScoreKernel::CLHarrisScoreKernel(const CLHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a9a88a40181adbda4d3ee41ecb8548621',1,'arm_compute::CLHarrisScoreKernel::CLHarrisScoreKernel(CLHarrisScoreKernel &amp;&amp;)=default']]],
-  ['clhelpers_2ecpp',['CLHelpers.cpp',['../_c_l_helpers_8cpp.xhtml',1,'']]],
-  ['clhelpers_2eh',['CLHelpers.h',['../_c_l_helpers_8h.xhtml',1,'']]],
+  ['clhelpers_2ecpp',['CLHelpers.cpp',['../core_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['clhelpers_2eh',['CLHelpers.h',['../core_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)']]],
   ['clhistogram',['CLHistogram',['../classarm__compute_1_1_c_l_histogram.xhtml',1,'CLHistogram'],['../classarm__compute_1_1_c_l_histogram.xhtml#ae88cc0fbb01c58a52e60cc02f80f6ae1',1,'arm_compute::CLHistogram::CLHistogram()'],['../classarm__compute_1_1_c_l_histogram.xhtml#a2803ceaa34ef2077846e2eae3ae85d10',1,'arm_compute::CLHistogram::CLHistogram(const CLHistogram &amp;)=delete']]],
   ['clhistogram_2ecpp',['CLHistogram.cpp',['../_c_l_histogram_8cpp.xhtml',1,'']]],
   ['clhistogram_2eh',['CLHistogram.h',['../_c_l_histogram_8h.xhtml',1,'']]],
@@ -747,6 +848,8 @@
   ['cllaplacianreconstruct_2ecpp',['CLLaplacianReconstruct.cpp',['../_c_l_laplacian_reconstruct_8cpp.xhtml',1,'']]],
   ['cllaplacianreconstruct_2eh',['CLLaplacianReconstruct.h',['../_c_l_laplacian_reconstruct_8h.xhtml',1,'']]],
   ['cllaplacianreconstructfixture',['CLLaplacianReconstructFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a33ccd0c3fcaab9d1bb2c6a20bfd5ec6f',1,'arm_compute::test::benchmark::CLLaplacianReconstructFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680eae7f8c9f78ab107a0634aaf482c3',1,'arm_compute::test::validation::CLLaplacianReconstructFixture()']]],
+  ['clless',['CLLess',['../namespacearm__compute.xhtml#a8c2c9a77f235807441eacdddd896d50c',1,'arm_compute']]],
+  ['cllessequal',['CLLessEqual',['../namespacearm__compute.xhtml#a258b8c95199c121d8f2a9a540cd48e5e',1,'arm_compute']]],
   ['cllkinternalkeypoint',['CLLKInternalKeypoint',['../structarm__compute_1_1_c_l_l_k_internal_keypoint.xhtml',1,'arm_compute']]],
   ['cllkinternalkeypointarray',['CLLKInternalKeypointArray',['../namespacearm__compute.xhtml#a70997613219641045213b0c12948fb74',1,'arm_compute']]],
   ['cllktrackerfinalizekernel',['CLLKTrackerFinalizeKernel',['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml',1,'arm_compute']]],
@@ -863,6 +966,7 @@
   ['clnormalizeplanaryuvlayerkernel_2ecpp',['CLNormalizePlanarYUVLayerKernel.cpp',['../_c_l_normalize_planar_y_u_v_layer_kernel_8cpp.xhtml',1,'']]],
   ['clnormalizeplanaryuvlayerkernel_2eh',['CLNormalizePlanarYUVLayerKernel.h',['../_c_l_normalize_planar_y_u_v_layer_kernel_8h.xhtml',1,'']]],
   ['clnormalizeplanaryuvlayerquantizedfixture',['CLNormalizePlanarYUVLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad981f5e247a2626e51d6dd8f6765a56e',1,'arm_compute::test::validation']]],
+  ['clnotequal',['CLNotEqual',['../namespacearm__compute.xhtml#aea3e261c61344f44892f8be73cfc0301',1,'arm_compute']]],
   ['cloldvalue',['CLOldValue',['../structarm__compute_1_1_c_l_old_value.xhtml',1,'arm_compute']]],
   ['cloldvaluearray',['CLOldValueArray',['../namespacearm__compute.xhtml#a4ec6965f606c588137f7a48d84c1d6f0',1,'arm_compute']]],
   ['clone',['clone',['../classarm__compute_1_1_sub_tensor_info.xhtml#afbc359bde9be72a6edab175978e56662',1,'arm_compute::SubTensorInfo::clone()'],['../classarm__compute_1_1_tensor_info.xhtml#afbc359bde9be72a6edab175978e56662',1,'arm_compute::TensorInfo::clone()'],['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d',1,'arm_compute::misc::ICloneable::clone()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a67a9182c0c500d54a437be4288527462',1,'arm_compute::graph::TensorDescriptor::clone()']]],
@@ -881,7 +985,6 @@
   ['clpermute',['CLPermute',['../classarm__compute_1_1_c_l_permute.xhtml',1,'arm_compute']]],
   ['clpermute_2ecpp',['CLPermute.cpp',['../_c_l_permute_8cpp.xhtml',1,'']]],
   ['clpermute_2eh',['CLPermute.h',['../_c_l_permute_8h.xhtml',1,'']]],
-  ['clpermutefixture',['CLPermuteFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a422b5e1fb5024793f870f0a76a229b1f',1,'arm_compute::test::validation']]],
   ['clpermutekernel',['CLPermuteKernel',['../classarm__compute_1_1_c_l_permute_kernel.xhtml',1,'CLPermuteKernel'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a155aa76403dc4051493ffb37389a27c7',1,'arm_compute::CLPermuteKernel::CLPermuteKernel()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a9a3b378c856688d92501989c83ae4cc5',1,'arm_compute::CLPermuteKernel::CLPermuteKernel(const CLPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#aa932a2891c439411bed8e4b2da853580',1,'arm_compute::CLPermuteKernel::CLPermuteKernel(CLPermuteKernel &amp;&amp;)=default']]],
   ['clpermutekernel_2ecpp',['CLPermuteKernel.cpp',['../_c_l_permute_kernel_8cpp.xhtml',1,'']]],
   ['clpermutekernel_2eh',['CLPermuteKernel.h',['../_c_l_permute_kernel_8h.xhtml',1,'']]],
@@ -927,6 +1030,17 @@
   ['clquantizationlayerkernel',['CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml',1,'CLQuantizationLayerKernel'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aec2ad990f91ebeb1c5e26426bcb9529c',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ae373227f8bc0d4c1b27f66dedaf53bca',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a286b89c8e3f1d6bb5d79bab789cfaa64',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel(CLQuantizationLayerKernel &amp;&amp;)=default']]],
   ['clquantizationlayerkernel_2ecpp',['CLQuantizationLayerKernel.cpp',['../_c_l_quantization_layer_kernel_8cpp.xhtml',1,'']]],
   ['clquantizationlayerkernel_2eh',['CLQuantizationLayerKernel.h',['../_c_l_quantization_layer_kernel_8h.xhtml',1,'']]],
+  ['clrange',['CLRange',['../classarm__compute_1_1_c_l_range.xhtml',1,'arm_compute']]],
+  ['clrange_2ecpp',['CLRange.cpp',['../_c_l_range_8cpp.xhtml',1,'']]],
+  ['clrange_2eh',['CLRange.h',['../_c_l_range_8h.xhtml',1,'']]],
+  ['clrangefixture',['CLRangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a093d44ee693551080f98f1021e823405',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20float_20_3e',['CLRangeFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a990f1d5d2348970b3301e3166a404b4f',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20half_20_3e',['CLRangeFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aab6ce1adb1c41b7d8fd4ab24b2d8c6f0',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20int16_5ft_20_3e',['CLRangeFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77a1a2caa1c67fc5790f21e7c501940a',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20uint8_5ft_20_3e',['CLRangeFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e00a79332561272cdf3da3aec8bc5e7',1,'arm_compute::test::validation']]],
+  ['clrangekernel',['CLRangeKernel',['../classarm__compute_1_1_c_l_range_kernel.xhtml',1,'CLRangeKernel'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a50be5f1cf9b8b007d81d5d6a7f72dd7c',1,'arm_compute::CLRangeKernel::CLRangeKernel()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#aee4539855a0e6fc12b7ef43f38f37bb2',1,'arm_compute::CLRangeKernel::CLRangeKernel(const CLRangeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a5d63bb7b49deb8c8aa15b0b687ab3b64',1,'arm_compute::CLRangeKernel::CLRangeKernel(CLRangeKernel &amp;&amp;)=default']]],
+  ['clrangekernel_2ecpp',['CLRangeKernel.cpp',['../_c_l_range_kernel_8cpp.xhtml',1,'']]],
+  ['clrangekernel_2eh',['CLRangeKernel.h',['../_c_l_range_kernel_8h.xhtml',1,'']]],
   ['clreducemean',['CLReduceMean',['../classarm__compute_1_1_c_l_reduce_mean.xhtml',1,'CLReduceMean'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a52ad5d98289e302906ddd47b2f79d121',1,'arm_compute::CLReduceMean::CLReduceMean()']]],
   ['clreducemean_2ecpp',['CLReduceMean.cpp',['../_c_l_reduce_mean_8cpp.xhtml',1,'']]],
   ['clreducemean_2eh',['CLReduceMean.h',['../_c_l_reduce_mean_8h.xhtml',1,'']]],
@@ -987,6 +1101,15 @@
   ['clretainmemobject_5fptr',['clRetainMemObject_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ab7b31e7922544d4a6325320f08ad2474',1,'arm_compute::CLSymbols']]],
   ['clretainprogram',['clRetainProgram',['../_open_c_l_8cpp.xhtml#aa0cc01b2f6b15bbab28eb38d6f29f184',1,'OpenCL.cpp']]],
   ['clretainprogram_5fptr',['clRetainProgram_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#aa9752599bfd3a28d9c34cfb59c8feaf3',1,'arm_compute::CLSymbols']]],
+  ['clreverse',['CLReverse',['../classarm__compute_1_1_c_l_reverse.xhtml',1,'arm_compute']]],
+  ['clreverse_2ecpp',['CLReverse.cpp',['../_c_l_reverse_8cpp.xhtml',1,'']]],
+  ['clreverse_2eh',['CLReverse.h',['../_c_l_reverse_8h.xhtml',1,'']]],
+  ['clreversefixture',['CLReverseFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae32032b4875a0fe7570d57940247a9bc',1,'arm_compute::test::validation']]],
+  ['clreversefixture_3c_20float_20_3e',['CLReverseFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3762c018db4fec05957b9ba9201eb531',1,'arm_compute::test::validation']]],
+  ['clreversefixture_3c_20uint8_5ft_20_3e',['CLReverseFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2decc4dbc281b774157870df7eef8a81',1,'arm_compute::test::validation']]],
+  ['clreversekernel',['CLReverseKernel',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml',1,'CLReverseKernel'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a5cab449b84dd2093751fe5dbf640c3df',1,'arm_compute::CLReverseKernel::CLReverseKernel()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a97dd320dd2aada86c82939ff9f0d4fb6',1,'arm_compute::CLReverseKernel::CLReverseKernel(const CLReverseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#ad4708e344eb9134c5079810b799695e4',1,'arm_compute::CLReverseKernel::CLReverseKernel(CLReverseKernel &amp;&amp;)=default']]],
+  ['clreversekernel_2ecpp',['CLReverseKernel.cpp',['../_c_l_reverse_kernel_8cpp.xhtml',1,'']]],
+  ['clreversekernel_2eh',['CLReverseKernel.h',['../_c_l_reverse_kernel_8h.xhtml',1,'']]],
   ['clrnnlayer',['CLRNNLayer',['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml',1,'CLRNNLayer'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac511e3c07ea1ec0652dc67a18a4cef13',1,'arm_compute::CLRNNLayer::CLRNNLayer()']]],
   ['clrnnlayer_2ecpp',['CLRNNLayer.cpp',['../_c_l_r_n_n_layer_8cpp.xhtml',1,'']]],
   ['clrnnlayer_2eh',['CLRNNLayer.h',['../_c_l_r_n_n_layer_8h.xhtml',1,'']]],
@@ -999,14 +1122,17 @@
   ['clroialignlayerkernel',['CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml',1,'CLROIAlignLayerKernel'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a65c6631b10442806796d7fcc7ab39c5c',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#aaa85d2808584f66767509f6d786c2ecb',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a36c46c97422b00825e4fd069edb50ffc',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel(CLROIAlignLayerKernel &amp;&amp;)=default']]],
   ['clroialignlayerkernel_2ecpp',['CLROIAlignLayerKernel.cpp',['../_c_l_r_o_i_align_layer_kernel_8cpp.xhtml',1,'']]],
   ['clroialignlayerkernel_2eh',['CLROIAlignLayerKernel.h',['../_c_l_r_o_i_align_layer_kernel_8h.xhtml',1,'']]],
-  ['clroiarray',['CLROIArray',['../namespacearm__compute.xhtml#a7d756aef16b9c22456bb7aca8fbb4f4c',1,'arm_compute']]],
   ['clroipoolinglayer',['CLROIPoolingLayer',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml',1,'arm_compute']]],
   ['clroipoolinglayer_2ecpp',['CLROIPoolingLayer.cpp',['../_c_l_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
   ['clroipoolinglayer_2eh',['CLROIPoolingLayer.h',['../_c_l_r_o_i_pooling_layer_8h.xhtml',1,'']]],
-  ['clroipoolinglayerfixture',['CLROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7a7c5d8bc260335981ea0da5cf769f27',1,'arm_compute::test::benchmark']]],
+  ['clroipoolinglayerfixture',['CLROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a2d199bdbc64e1c80e1096b12bcde1a',1,'arm_compute::test::benchmark']]],
   ['clroipoolinglayerkernel',['CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml',1,'CLROIPoolingLayerKernel'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#ab49afa77253c012ae4c535a7bffc6ada',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2b00f64685a084591f3312f5b45711af',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a17458252791372f85abf58b3832a5a43',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel(CLROIPoolingLayerKernel &amp;&amp;)=default']]],
   ['clroipoolinglayerkernel_2ecpp',['CLROIPoolingLayerKernel.cpp',['../_c_l_r_o_i_pooling_layer_kernel_8cpp.xhtml',1,'']]],
   ['clroipoolinglayerkernel_2eh',['CLROIPoolingLayerKernel.h',['../_c_l_r_o_i_pooling_layer_kernel_8h.xhtml',1,'']]],
+  ['clrsqrtlayer',['CLRsqrtLayer',['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml',1,'arm_compute']]],
+  ['clrsqrtlayerfixture',['CLRsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2aee958d09568156d81e704650499923',1,'arm_compute::test::validation']]],
+  ['clrsqrtlayerfixture_3c_20float_20_3e',['CLRsqrtLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a31fba8801c1e7965e95c7f68ba805906',1,'arm_compute::test::validation']]],
+  ['clsaturatedarithmeticoperationkernel',['CLSaturatedArithmeticOperationKernel',['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml',1,'CLSaturatedArithmeticOperationKernel'],['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#a3423d0d350bccafebaed646e19ea8a57',1,'arm_compute::CLSaturatedArithmeticOperationKernel::CLSaturatedArithmeticOperationKernel()']]],
   ['clscale',['CLScale',['../classarm__compute_1_1_c_l_scale.xhtml',1,'arm_compute']]],
   ['clscale_2ecpp',['CLScale.cpp',['../_c_l_scale_8cpp.xhtml',1,'']]],
   ['clscale_2eh',['CLScale.h',['../_c_l_scale_8h.xhtml',1,'']]],
@@ -1027,6 +1153,13 @@
   ['clscheduler',['CLScheduler',['../classarm__compute_1_1_c_l_scheduler.xhtml',1,'arm_compute']]],
   ['clscheduler_2ecpp',['CLScheduler.cpp',['../_c_l_scheduler_8cpp.xhtml',1,'']]],
   ['clscheduler_2eh',['CLScheduler.h',['../_c_l_scheduler_8h.xhtml',1,'']]],
+  ['clselect',['CLSelect',['../classarm__compute_1_1_c_l_select.xhtml',1,'arm_compute']]],
+  ['clselect_2ecpp',['CLSelect.cpp',['../_c_l_select_8cpp.xhtml',1,'']]],
+  ['clselect_2eh',['CLSelect.h',['../_c_l_select_8h.xhtml',1,'']]],
+  ['clselectfixture',['CLSelectFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a88d60b720e853a18bb3f19d3e001384e',1,'arm_compute::test::validation']]],
+  ['clselectkernel',['CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml',1,'CLSelectKernel'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#aa64580d6cfd76006486bb2a437593a9d',1,'arm_compute::CLSelectKernel::CLSelectKernel()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a3606ef6cca613307feb217e549e0d7f4',1,'arm_compute::CLSelectKernel::CLSelectKernel(const CLSelectKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a3d0371c3887f3cc8cb50bd961b97d368',1,'arm_compute::CLSelectKernel::CLSelectKernel(CLSelectKernel &amp;&amp;)=default']]],
+  ['clselectkernel_2ecpp',['CLSelectKernel.cpp',['../_c_l_select_kernel_8cpp.xhtml',1,'']]],
+  ['clselectkernel_2eh',['CLSelectKernel.h',['../_c_l_select_kernel_8h.xhtml',1,'']]],
   ['clseparableconvolution5x5horkernel',['CLSeparableConvolution5x5HorKernel',['../namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c',1,'arm_compute']]],
   ['clseparableconvolution5x5vertkernel',['CLSeparableConvolution5x5VertKernel',['../namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c',1,'arm_compute']]],
   ['clseparableconvolution7x7horkernel',['CLSeparableConvolution7x7HorKernel',['../namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004',1,'arm_compute']]],
@@ -1087,6 +1220,16 @@
   ['clsplit_2eh',['CLSplit.h',['../_c_l_split_8h.xhtml',1,'']]],
   ['clsplitfixture',['CLSplitFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af677be2cf1bacfa405863a3405a41394',1,'arm_compute::test::validation']]],
   ['clsplitfixture_3c_20float_20_3e',['CLSplitFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a9132bb4ac0d0cf804fc0fcea9fbb69',1,'arm_compute::test::validation']]],
+  ['clstacklayer',['CLStackLayer',['../classarm__compute_1_1_c_l_stack_layer.xhtml',1,'CLStackLayer'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#a49e2045299f083fac967cad38df6e200',1,'arm_compute::CLStackLayer::CLStackLayer()']]],
+  ['clstacklayer_2ecpp',['CLStackLayer.cpp',['../_c_l_stack_layer_8cpp.xhtml',1,'']]],
+  ['clstacklayer_2eh',['CLStackLayer.h',['../_c_l_stack_layer_8h.xhtml',1,'']]],
+  ['clstacklayerfixture',['CLStackLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a074cf3579b7e75a0ea54b33ccc0c2804',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20char_20_3e',['CLStackLayerFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afde54db196894ca8b1dae9dd40452908',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20int_20_3e',['CLStackLayerFixture&lt; int &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56299fd2243efc7eff68ea695a1d332a',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20short_20_3e',['CLStackLayerFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa818e49707a005e7f47f516f4185d4e5',1,'arm_compute::test::validation']]],
+  ['clstacklayerkernel',['CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml',1,'CLStackLayerKernel'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a7ee563bd8a0fd07f07df1d1f86ec5d2a',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel()'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a8980cefb7252a70a4d05dbc9ecc446d5',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel(const CLStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a45a5517dfee52acdf2ad2e95afe74b62',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel(CLStackLayerKernel &amp;&amp;)=default']]],
+  ['clstacklayerkernel_2ecpp',['CLStackLayerKernel.cpp',['../_c_l_stack_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clstacklayerkernel_2eh',['CLStackLayerKernel.h',['../_c_l_stack_layer_kernel_8h.xhtml',1,'']]],
   ['clstridedslice',['CLStridedSlice',['../classarm__compute_1_1_c_l_strided_slice.xhtml',1,'arm_compute']]],
   ['clstridedslice_2ecpp',['CLStridedSlice.cpp',['../_c_l_strided_slice_8cpp.xhtml',1,'']]],
   ['clstridedslice_2eh',['CLStridedSlice.h',['../_c_l_strided_slice_8h.xhtml',1,'']]],
@@ -1107,7 +1250,9 @@
   ['clsvmfree_5fptr',['clSVMFree_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#adbd557acca5bc0f92a1a7f8ebc26e9ed',1,'arm_compute::CLSymbols']]],
   ['clsymbols',['CLSymbols',['../classarm__compute_1_1_c_l_symbols.xhtml',1,'arm_compute']]],
   ['clsynthetizefunction',['CLSynthetizeFunction',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+  ['clsynthetizefunctioninitoutputwithzeroandwithzeroconstantborder',['CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
   ['clsynthetizefunctionwithzeroconstantborder',['CLSynthetizeFunctionWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
+  ['clt_2eh',['clt.h',['../clt_8h.xhtml',1,'']]],
   ['cltablelookup',['CLTableLookup',['../classarm__compute_1_1_c_l_table_lookup.xhtml',1,'arm_compute']]],
   ['cltablelookup_2ecpp',['CLTableLookup.cpp',['../_c_l_table_lookup_8cpp.xhtml',1,'']]],
   ['cltablelookup_2eh',['CLTableLookup.h',['../_c_l_table_lookup_8h.xhtml',1,'']]],
@@ -1131,10 +1276,22 @@
   ['clthresholdkernel',['CLThresholdKernel',['../classarm__compute_1_1_c_l_threshold_kernel.xhtml',1,'arm_compute']]],
   ['clthresholdkernel_2ecpp',['CLThresholdKernel.cpp',['../_c_l_threshold_kernel_8cpp.xhtml',1,'']]],
   ['clthresholdkernel_2eh',['CLThresholdKernel.h',['../_c_l_threshold_kernel_8h.xhtml',1,'']]],
+  ['cltile',['CLTile',['../classarm__compute_1_1_c_l_tile.xhtml',1,'arm_compute']]],
+  ['cltile_2ecpp',['CLTile.cpp',['../_c_l_tile_8cpp.xhtml',1,'']]],
+  ['cltile_2eh',['CLTile.h',['../_c_l_tile_8h.xhtml',1,'']]],
+  ['cltilefixture',['CLTileFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f67ae0a706875264f1f149937d620f2',1,'arm_compute::test::validation']]],
+  ['cltilefixture_3c_20float_20_3e',['CLTileFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a82226766b527187dfe4edf8b471c4195',1,'arm_compute::test::validation']]],
+  ['cltilefixture_3c_20int8_5ft_20_3e',['CLTileFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af63a92feed5bd1d526e8919d47abdfd7',1,'arm_compute::test::validation']]],
+  ['cltilefixture_3c_20uint8_5ft_20_3e',['CLTileFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ababba9078d6b1bdc4c5462e26616da',1,'arm_compute::test::validation']]],
+  ['cltilekernel',['CLTileKernel',['../classarm__compute_1_1_c_l_tile_kernel.xhtml',1,'CLTileKernel'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#adeb46e4b6bc797c296639064e8cd08d0',1,'arm_compute::CLTileKernel::CLTileKernel()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a8d7519aaf46683c5e164e8be0ad32478',1,'arm_compute::CLTileKernel::CLTileKernel(const CLTileKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a50b76d221841db92f9a87c9e3f1b446c',1,'arm_compute::CLTileKernel::CLTileKernel(CLTileKernel &amp;&amp;)=default']]],
+  ['cltilekernel_2ecpp',['CLTileKernel.cpp',['../_c_l_tile_kernel_8cpp.xhtml',1,'']]],
+  ['cltilekernel_2eh',['CLTileKernel.h',['../_c_l_tile_kernel_8h.xhtml',1,'']]],
   ['cltranspose',['CLTranspose',['../classarm__compute_1_1_c_l_transpose.xhtml',1,'arm_compute']]],
   ['cltranspose_2ecpp',['CLTranspose.cpp',['../_c_l_transpose_8cpp.xhtml',1,'']]],
   ['cltranspose_2eh',['CLTranspose.h',['../_c_l_transpose_8h.xhtml',1,'']]],
   ['cltransposefixture',['CLTransposeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aee40d6d157ed73301d842c298433f96c',1,'arm_compute::test::benchmark::CLTransposeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf710edc5f232dfda74bace6236a4ae1',1,'arm_compute::test::validation::CLTransposeFixture()']]],
+  ['cltransposefixture_3c_20uint16_5ft_20_3e',['CLTransposeFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a62b2b4d46df5bada4c4f48b882a1a4eb',1,'arm_compute::test::validation']]],
+  ['cltransposefixture_3c_20uint32_5ft_20_3e',['CLTransposeFixture&lt; uint32_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a844546b36d6502dd67b76af8d100f360',1,'arm_compute::test::validation']]],
   ['cltransposekernel',['CLTransposeKernel',['../classarm__compute_1_1_c_l_transpose_kernel.xhtml',1,'arm_compute']]],
   ['cltransposekernel_2ecpp',['CLTransposeKernel.cpp',['../_c_l_transpose_kernel_8cpp.xhtml',1,'']]],
   ['cltransposekernel_2eh',['CLTransposeKernel.h',['../_c_l_transpose_kernel_8h.xhtml',1,'']]],
@@ -1145,6 +1302,10 @@
   ['cluint16array',['CLUInt16Array',['../namespacearm__compute.xhtml#a7b4c4a79c73a3f85ba89aff03fddefa7',1,'arm_compute']]],
   ['cluint32array',['CLUInt32Array',['../namespacearm__compute.xhtml#a1d7d89b7e990055dc95ed37dfb24da48',1,'arm_compute']]],
   ['cluint8array',['CLUInt8Array',['../namespacearm__compute.xhtml#aa031694bb03711e09e25546ad2b643cc',1,'arm_compute']]],
+  ['clunstack',['CLUnstack',['../classarm__compute_1_1_c_l_unstack.xhtml',1,'CLUnstack'],['../classarm__compute_1_1_c_l_unstack.xhtml#a8801e5eac99121513e3d3278f73ffd92',1,'arm_compute::CLUnstack::CLUnstack()']]],
+  ['clunstack_2ecpp',['CLUnstack.cpp',['../_c_l_unstack_8cpp.xhtml',1,'']]],
+  ['clunstack_2eh',['CLUnstack.h',['../_c_l_unstack_8h.xhtml',1,'']]],
+  ['clunstackfixture',['CLUnstackFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f',1,'arm_compute::test::validation']]],
   ['clupsamplelayer',['CLUpsampleLayer',['../classarm__compute_1_1_c_l_upsample_layer.xhtml',1,'CLUpsampleLayer'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a7bf54f72fe0aab0ceb385c846304a746',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a0e6e86536702d066b57a4f55795e9b0c',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a83f20f34d496b1a7cba8f5016ee00f9a',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer(CLUpsampleLayer &amp;&amp;)=default']]],
   ['clupsamplelayer_2ecpp',['CLUpsampleLayer.cpp',['../_c_l_upsample_layer_8cpp.xhtml',1,'']]],
   ['clupsamplelayer_2eh',['CLUpsampleLayer.h',['../_c_l_upsample_layer_8h.xhtml',1,'']]],
@@ -1211,7 +1372,7 @@
   ['clwinogradinputtransformkernel_2eh',['CLWinogradInputTransformKernel.h',['../_c_l_winograd_input_transform_kernel_8h.xhtml',1,'']]],
   ['clwinogradlayerfixture',['CLWinogradLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d95b818519b5889e077646206bf30f8',1,'arm_compute::test::benchmark']]],
   ['clwinogradoutputtransform',['CLWinogradOutputTransform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd717bab37b161a6c1e63a76549d024',1,'arm_compute::test::validation']]],
-  ['clwinogradoutputtransformfixturefp16',['CLWinogradOutputTransformFixtureFP16',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54d7637e51053560f04d1197c9e5fa',1,'arm_compute::test::validation']]],
+  ['clwinogradoutputtransformfixturefp16',['CLWinogradOutputTransformFixtureFP16',['../namespacearm__compute_1_1test_1_1validation.xhtml#aad28e54b6547276f5fc9b9a628e3c830',1,'arm_compute::test::validation']]],
   ['clwinogradoutputtransformfixturefp32',['CLWinogradOutputTransformFixtureFP32',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0c30cd627b86f144191c17519e3ba2a',1,'arm_compute::test::validation']]],
   ['clwinogradoutputtransformkernel',['CLWinogradOutputTransformKernel',['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml',1,'CLWinogradOutputTransformKernel'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#aacbd8b6e99575dc039d8e772a4e05ef1',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a1e79a8888f04297f285177757ba27328',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a8ff03a689e87f9c2449fc7265e4ba291',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &amp;&amp;)=default']]],
   ['clwinogradoutputtransformkernel_2ecpp',['CLWinogradOutputTransformKernel.cpp',['../_c_l_winograd_output_transform_kernel_8cpp.xhtml',1,'']]],
@@ -1224,6 +1385,7 @@
   ['clyololayerkernel',['CLYOLOLayerKernel',['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml',1,'CLYOLOLayerKernel'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a388f5f03203b0315008239a71a92b610',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#ab32695271497fb7977438e51fdfd8d3f',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a79e1753daeacc2a92b89bfe25ed42805',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel(CLYOLOLayerKernel &amp;&amp;)=default']]],
   ['clyololayerkernel_2ecpp',['CLYOLOLayerKernel.cpp',['../_c_l_y_o_l_o_layer_kernel_8cpp.xhtml',1,'']]],
   ['clyololayerkernel_2eh',['CLYOLOLayerKernel.h',['../_c_l_y_o_l_o_layer_kernel_8h.xhtml',1,'']]],
+  ['code_5ftype',['code_type',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a025a49ad16e9d5d59d3919c25a17d1ae',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['col2im',['col2im',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a322ce5510f1325f02993132f5da68525',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b681fe3cdd1dc6d31137220dbd0307d',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae2dc7444c541764b71db241d2f37079a',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a483cdee93e3819f748aac690e0f5f5a7',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)']]],
   ['col2im_2ecl',['col2im.cl',['../col2im_8cl.xhtml',1,'']]],
   ['col2im_2ecpp',['Col2Im.cpp',['../_c_l_2_col2_im_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_col2_im_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_col2_im_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -1255,7 +1417,8 @@
   ['colorconvert_5fyuyv_5fto_5fnv12',['colorconvert_yuyv_to_nv12',['../namespacearm__compute.xhtml#a8ee13904a3f5ba84b28cb53d956021d7',1,'arm_compute::colorconvert_yuyv_to_nv12()'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a1fe7737fbf524eeb6811368867fece26',1,'arm_compute::test::colorconvert_helper::detail::colorconvert_yuyv_to_nv12()']]],
   ['colorconvert_5fyuyv_5fto_5frgb',['colorconvert_yuyv_to_rgb',['../namespacearm__compute.xhtml#a3c22c0d3494660b72b4fc04fec76f92d',1,'arm_compute::colorconvert_yuyv_to_rgb()'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#aab80900114531c21cf2260c5f61d7991',1,'arm_compute::test::colorconvert_helper::detail::colorconvert_yuyv_to_rgb()']]],
   ['colorconverthelper_2eh',['ColorConvertHelper.h',['../_color_convert_helper_8h.xhtml',1,'']]],
-  ['combine',['combine',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac637b6be52ec2d9a3671f493f8b71042',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3f772f5bb6c40d76afb279681cbb692b',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9728d5271886db3847c93b7353e18024',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36022ca36d33efd6a005963bc1546e5c',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a918f7c14afd727aa4f98d1866fe1a5e5',1,'arm_compute::test::benchmark::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411',1,'arm_compute::test::framework::dataset::combine()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a092f97d313b94fd7b22c461576328682',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49d71658e3ae20705d867499a3d0ce10',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9259ddd82654e624d31014aa995051da',1,'arm_compute::test::validation::combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38c68538739fe935a6d5ea0577705214',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf722f3f6aec87339661df73b8bcbf7d',1,'arm_compute::test::validation::combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b006d8500630b13b95bc0af0eb7e650',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af884e3ec179a8369da0c00b2c6e1fef2',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af95ef7db7f08fddf0a3241c5ecf2bd47',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff65498436121dba260e5db9434a86f1',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a875aa763b5fd3909d35d3fea01256bad',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9dd4a7f2215619d1752fef82d3e58538',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95b9d0fed97e0666dacc1706c46f1e3c',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9f1a4bf6f5bc236a0b8381c8d382a9',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc453c8f432b0cbe3f06536d56504a5e',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54c48914ca65f33018a38386b8ffa54',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefad470ff8ddc1042771a3e2a37f19d7',1,'arm_compute::test::validation::combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af122b52a460babe576a1f7d4ab82162a',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18752343fc789d4568a59f51e82a0ba',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22f898b88e5d89867095627860ca1552',1,'arm_compute::test::validation::combine(combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec13618c285e4e0a2abb1ef1b4535da0',1,'arm_compute::test::validation::combine(combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47be21a7b1fb5ff31e19297eb08fefa9',1,'arm_compute::test::validation::combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2c3964e8f8abe019b9787a1c5ea2b07',1,'arm_compute::test::validation::combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9cbe6e7e814cd8002d05be9343c34f',1,'arm_compute::test::validation::combine(combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8648561bac7276f1811068b1864e1df4',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c6b9d9c2494e45cb83313f09519dc4',1,'arm_compute::test::validation::combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab51aa22b4ba65c2b52a3cdd169462174',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24dc581f43efae1164a8d0f26ba91479',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a166bbfe267332742f88e771acc39ae01',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0842e4f9c5222a489ca76ac95208b69b',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac80f82e8dc7ce5ac80f1134cb662e0f1',1,'arm_compute::test::validation::combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a565b8a5d0d73770a130c01f6b5ae5c31',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d3151f4ad0a76decd76379ddfc5d832',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2063d1d3e5dde0f479bc1d96d9294de',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf46d39c97281c672f724cdae74d651e',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a416fc2009eae84996b15c051f768639b',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a886187093300f6e68ccf9e169a947dbf',1,'arm_compute::test::validation::combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e2fdc01e84e8649c6a68c595c44da01',1,'arm_compute::test::validation::combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0a0c1e6462644aeb761889b4459f3ad',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1881e4cae6cf25292d970e0f2ded112a',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0da8753b41de0791b2ffa57f7ed4273',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a094c58da0f697e52ecd84027d9818307',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd7fed36c634ec4594388128d2e40df',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cc070dbbb4e0732bf34e744e5c6e5ec',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274d2afc8082b3cdf926001c5969d317',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afde67aa3180e5d8eb8b877d1ab9e7c29',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f7aa6e700f239c03ff72acd6c468073',1,'arm_compute::test::validation::combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab89c7dbdbdf351721f4cf7410307aec9',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac6c1834877dc6343fafcbbbccb248ca',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a699d8158ba6ac3fc673b0666200898df',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afa3b306ad655a79447c4c58c3f1b5365',1,'arm_compute::test::validation::combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72469369faddce5a2b72fd4b875826d2',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e9d9315d4344276bde7f569a8d7f21d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a119463720cbcd7bfcd151298f8992ed3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefcb158a93abbadde32b46728afac489',1,'arm_compute::test::validation::combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a878d5d0f7475f4ccbfaa978fd4f0d3ac',1,'arm_compute::test::validation::combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab35736f0cb483539bcebbc70e73bbb1',1,'arm_compute::test::validation::combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d42fafc56066c33ab601d49878354bf',1,'arm_compute::test::validation::combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c3c8390f16bdd1f968df1ebf42215b1',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bee4ca70ee3abf47597a70b6ca62c87',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9d454f7804c88885185e6cc13c7b5b',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNHWC, LargeWinogradInputTransformDatasetNHWC), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5ea628b4a081b6d2700d4156d310f9',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6021ee102520188db2a83ec2f12dee82',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95ca00c382aae2f45c70de0fb13814ef',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNHWC, LargeWinogradFilterTransformDatasetNHWC), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e78a26db7e40eca3c8c5ec97b428fe',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f41c5c5d8866efa09654fa7d88b8385',1,'arm_compute::test::validation::combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade3cccfc740829a3b6ed570a3c4efeec',1,'arm_compute::test::validation::combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNHWC, LargeWinogradOutputTransformDatasetNHWC), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ee42118447af556f4331dd4f17f5f59',1,'arm_compute::test::validation::combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5602e1cd6584ccc939c2ca3679039990',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f0f214d66d2f739ee19588ff6fd7439',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ac40477ae8f7b03422a403fc2d71b9f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15c95d740346575114adce3a7ea16acd',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a971bdaf9b1ef86d058b625feea852a05',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1a8238b9acf1f965276d6f186207bce',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5bc7204667015ef4a76b935e8788d9e3',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a3e828fa0a85f1998e4c183122d2ffa',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3215a45a825c27ea4058aa1be8c30e6a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2002f7b120345b22a50d2d17493405a1',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4e18f28f6c30a202693c855f14ab53',1,'arm_compute::test::validation::combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d833399fb18f15c15e8a78c8b4d09b',1,'arm_compute::test::validation::combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaf63c04a1cc347e32d54af646df589a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5dc36fe0848cf8263570cf02a5a6569',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a6b39c4e919ccb67029c24966da3318',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf6eb6c2cd25bec65d8c1981d044dc4f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f8883de8bcf15fa2f4609eb6d9c7686',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed250192de73300c8e4c05e77e66f87',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85dd0f7e03c6e9d992ef9b8f0751cf40',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7c994b02533988ca1192f1527373621',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad094e874a245764e0133c61a85e7d3a4',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a246ff6c535c53ebc0fed7a9a2ba8b3cf',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40cf8fe3a3c43782b0347ae818e5c798',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a547ec451bd92391b6fac0ec4b6daa8be',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43dac421227584910e1cf5fdc40e37bc',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a429340c0121881e7301e17804f50bb16',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a1bcc11395e1ae79eb8b7690755a659',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b1c766fcd694609051e4d7a8fdb0df1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a501df29d417ae1790160ebc1357d1717',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46c2c41e06d21c47f960505c9f49fa0d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af664738437237ceaafa84915b636396b',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ede0ad086ada8a19a26f3dcb19332f',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))']]],
+  ['combine',['combine',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac637b6be52ec2d9a3671f493f8b71042',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3f772f5bb6c40d76afb279681cbb692b',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9728d5271886db3847c93b7353e18024',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36022ca36d33efd6a005963bc1546e5c',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a918f7c14afd727aa4f98d1866fe1a5e5',1,'arm_compute::test::benchmark::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411',1,'arm_compute::test::framework::dataset::combine()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b472964f8df2137f3f7f92cf3dd8d9a',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98903ef6ff2f77c0f4a909b4fc9654a5',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b560a2597afefb5b26dd93e2d8115d4',1,'arm_compute::test::validation::combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80452979e11d0c93a88a3005189601fa',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf722f3f6aec87339661df73b8bcbf7d',1,'arm_compute::test::validation::combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2712cb78fd081d3baebe261fa6dcd85b',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), datasets::ConvertPolicies())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e77ed62c2a00d8d5107bd0c0f8aeb91',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ba5167b02b0536eda5cca1ee83baec4',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a946809cc2906af347ef293184cb734',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abba89d646c854e1f131ff7157dc90d0c',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7601b87848abb34e5778de0b80050dc5',1,'arm_compute::test::validation::combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c3a18d1cbba785c8b9a6a4fe983065',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae827914b6c18f445b17a29a75b05fea',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc041e4378cb3bb88e1b5827a38ab0c9',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ddb7444dc7ac33183908b29d319fa23',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52db18bf5ed7c8c89737bf30cea0aa70',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad24871457b52ed4026ca96d259fcab6e',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19c74c8eb965d15f4372d8a50f565718',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e9ebd0d3a9f8a0fe9f158005ef96529',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68deb4dc39595404f45ca1ed12ec3b8a',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61ea7d7b6ace9d9c3dac58ab36c0550d',1,'arm_compute::test::validation::combine(combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), ActivationFunctionsDataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc29e65bd656baad653f863c5045b2c7',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e72541241145dab4fed298d94de781e',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95b9d0fed97e0666dacc1706c46f1e3c',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9f1a4bf6f5bc236a0b8381c8d382a9',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc453c8f432b0cbe3f06536d56504a5e',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54c48914ca65f33018a38386b8ffa54',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefad470ff8ddc1042771a3e2a37f19d7',1,'arm_compute::test::validation::combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af122b52a460babe576a1f7d4ab82162a',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18752343fc789d4568a59f51e82a0ba',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22f898b88e5d89867095627860ca1552',1,'arm_compute::test::validation::combine(combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec13618c285e4e0a2abb1ef1b4535da0',1,'arm_compute::test::validation::combine(combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe3738f19ffb6b80ec70d654df1ca295',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47be21a7b1fb5ff31e19297eb08fefa9',1,'arm_compute::test::validation::combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2c3964e8f8abe019b9787a1c5ea2b07',1,'arm_compute::test::validation::combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9cbe6e7e814cd8002d05be9343c34f',1,'arm_compute::test::validation::combine(combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c50bb668191f259043b5af13613d74e',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a38f85fabf93842ecbe4abb77109932',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38c68b850b6b04a6988e6d93708026c2',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab51aa22b4ba65c2b52a3cdd169462174',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24dc581f43efae1164a8d0f26ba91479',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a166bbfe267332742f88e771acc39ae01',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0842e4f9c5222a489ca76ac95208b69b',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14f32a493a8c50a72b43a89005c326e1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18211fd3513b81d71a8bd77cca990db3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc4c2c806a6782fb9e463d84d5be94ea',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0faa111a1a678595606d75138edda42',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e7540e33288f3b2f2c0eb59b0617fc7',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b12bac0f1a7b3f5f816eae4932178b5',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa27fd9f202d58fde912a90adbdf05441',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e17e0302f5aa82cab17e5baa110746a',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac80f82e8dc7ce5ac80f1134cb662e0f1',1,'arm_compute::test::validation::combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a565b8a5d0d73770a130c01f6b5ae5c31',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d3151f4ad0a76decd76379ddfc5d832',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2063d1d3e5dde0f479bc1d96d9294de',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf46d39c97281c672f724cdae74d651e',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2fb5fe73a5c8287a2b91c01e3de7b41a',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78bf42d4af24643d2b0d24cc6c70b361',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f016dd4dea349a6b71893528b493eb6',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1881e4cae6cf25292d970e0f2ded112a',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab32a186a61d3b064499f24bfd581e5fa',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4158672b44f3240f5d5be6bcde1a0dc6',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd7fed36c634ec4594388128d2e40df',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cc070dbbb4e0732bf34e744e5c6e5ec',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274d2afc8082b3cdf926001c5969d317',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afde67aa3180e5d8eb8b877d1ab9e7c29',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ef14bfb7248e83b3b7478d0a82bf992',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8), start_dataset), step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.3457f, 120.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d13dea9ed8c6e8619b98a65aef7719c',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::S16), start_dataset), step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa449d4c4caf82ec2a8bf083e5d1cf3f',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::F16), start_dataset), float_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67e392360024f7106a814486c2d326d3',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::F32), start_dataset), float_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f7aa6e700f239c03ff72acd6c468073',1,'arm_compute::test::validation::combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab125e5eb4e3db5f4f0de846b3352c58d',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac6c1834877dc6343fafcbbbccb248ca',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a699d8158ba6ac3fc673b0666200898df',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe7eae5bcad4e91c6dd8c1c31a7c17fb',1,'arm_compute::test::validation::combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afa3b306ad655a79447c4c58c3f1b5365',1,'arm_compute::test::validation::combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27d2376584b1bfbce2de6c046d119d00',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbd44e0826d692660d940f2f372aa60',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e6233f2d0f09f7b7fbacf36a191ffd6',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefcb158a93abbadde32b46728afac489',1,'arm_compute::test::validation::combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a878d5d0f7475f4ccbfaa978fd4f0d3ac',1,'arm_compute::test::validation::combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab35736f0cb483539bcebbc70e73bbb1',1,'arm_compute::test::validation::combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefbc705cede4006a11ee179b95d6468b',1,'arm_compute::test::validation::combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95f9925154f5f210469883d262e49dc6',1,'arm_compute::test::validation::combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8da287de456ed19c93c8b5a709918d35',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89ab711dabe38c42995449e94aa1424e',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f76a6b67e60b850d85ea69c252a41b0',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af87beef26b59d0160912c833cec89f50',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2867f5a73b7e0c3b68c3a89be30381bd',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52fe8bb7119d3a3d7c5aea7293f4237f',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d5eb8588c371e013cfdcd8b6518dc0',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1219d2e4e290d33e099239f53fb0c40d',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8606a2a9e3d21b4d4b78e031530062b8',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d42fafc56066c33ab601d49878354bf',1,'arm_compute::test::validation::combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22db211f74c1c04977333f7ba0152691',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b27d342b771bfb392ae65c171a0c319',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00c1ec08ac80772d046fd13067a9999f',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ee25c88710178128302d43ea628b5f9',1,'arm_compute::test::validation::combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f53cc4bdd82452e62d5785139816120',1,'arm_compute::test::validation::combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c3c8390f16bdd1f968df1ebf42215b1',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bee4ca70ee3abf47597a70b6ca62c87',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d0be8bc8237790230e8f4f95c413e63',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5ea628b4a081b6d2700d4156d310f9',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6021ee102520188db2a83ec2f12dee82',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e42299b402cf9f505d5c5c89abec58',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e78a26db7e40eca3c8c5ec97b428fe',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635a4ed7493013bf8d4234f72baf301a',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9901ecbeb55fc31207079515cd5ec44d',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ca5544149138fa83702c9489e6ee1e',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc58e7b1ccb8c9b0abb9bcfa6e592c0c',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a6f542aa33954cc0c391ebc079bc0ef',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2bd84a2e27e9d1d931b54acdc1643bda',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4e091bdcad717b20f789c709baee90d',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6ac34c117469a1fea4f3749223fa00a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac782f10cf3f2d5e09d893218d5849e8e',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b374452891e5a2e155ae7801d032da7',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4c16ee2840b5b6fdad9101c4332ad14',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8cf8d715ef18d45732ebcfc216ac405',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92ea6ac2e4c17a8b8cb61325165e6d52',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4e18f28f6c30a202693c855f14ab53',1,'arm_compute::test::validation::combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba411b068011fef8b5aee5f371c6ad63',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AccumulateU8Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1784922b6d7f4fdc9326e331392b4155',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AccumulateS16Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76db20584671358b337eb6def59b28a5',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c86876953e9b2b6a069d280d9ca1aa6',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03b3b6f20e32a8c2cd8307d4ed972565',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d833399fb18f15c15e8a78c8b4d09b',1,'arm_compute::test::validation::combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac567785492d3a7495c78188291d87b55',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2319681e31544fe36ff25d3a873f4181',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad46930ff07ad49746e01d43b64d289c7',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae84d170f93c503dac121d9c981b29f51',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dcea7d9d5fe5423f5cadfc41fa25f4d',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaac3f436c16c6f00f8f83c0656b320d3',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54f305400117bbf7cad88ebac67d862b',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c1944720b486bbca5c5399301ceb620',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36263adadba8db90929387334b5f3ac',1,'arm_compute::test::validation::combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94b020f68b9d0c0aa237deee754ea5db',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95286bfdb22c26516b3498bf9cbd7246',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed4d109ba1a0f93407c83c4a2150c3d',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8da384b56c2a7e0c32b5f35bd7b40014',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaf63c04a1cc347e32d54af646df589a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5dc36fe0848cf8263570cf02a5a6569',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a6b39c4e919ccb67029c24966da3318',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf6eb6c2cd25bec65d8c1981d044dc4f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f8883de8bcf15fa2f4609eb6d9c7686',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed250192de73300c8e4c05e77e66f87',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85dd0f7e03c6e9d992ef9b8f0751cf40',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7c994b02533988ca1192f1527373621',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fdb116fa072ae44264324d851e07d68',1,'arm_compute::test::validation::combine(combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9821de6f29b858a714d008afa94e2c28',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae31f14a9033f41e7876f6e3afb244ad4',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9ff6c40937e4ff3d7d70bc1689c987c',1,'arm_compute::test::validation::combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a448acb498b3652544fe4ef2cd588b35a',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a91545b0a07163b98055bcb65de53eb20',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf771f23aadd1da1db7c7e00ef56429b',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1575d9bcf13254129dab927c02ad5dd9',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad094e874a245764e0133c61a85e7d3a4',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a246ff6c535c53ebc0fed7a9a2ba8b3cf',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40cf8fe3a3c43782b0347ae818e5c798',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a547ec451bd92391b6fac0ec4b6daa8be',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43dac421227584910e1cf5fdc40e37bc',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a429340c0121881e7301e17804f50bb16',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a1bcc11395e1ae79eb8b7690755a659',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b1c766fcd694609051e4d7a8fdb0df1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a501df29d417ae1790160ebc1357d1717',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46c2c41e06d21c47f960505c9f49fa0d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af664738437237ceaafa84915b636396b',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9629d98e36c1b8af8e76c14af3d6da3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf063764cfff310dba70808a155b52d6',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a783c92d2df2f01e47aa1afcd9b14ab9e',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af18cf9bb92f09f7ca4cb1da10a255b54',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdcc35d2d0dddbd37fc0c90e20acfb9b',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e19afe6ba0f04858dde440302c59feb',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ede0ad086ada8a19a26f3dcb19332f',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))']]],
+  ['combine_2eh',['combine.h',['../combine_8h.xhtml',1,'']]],
   ['combine_5fgradients_5fl1',['combine_gradients_L1',['../canny_8cl.xhtml#a92f95668118a1bc6ef0eed965dfd570f',1,'canny.cl']]],
   ['combine_5fgradients_5fl2',['combine_gradients_L2',['../canny_8cl.xhtml#a7046357526e2f95a34e3ffa217752d9f',1,'canny.cl']]],
   ['commandlineoptions_2eh',['CommandLineOptions.h',['../_command_line_options_8h.xhtml',1,'']]],
@@ -1272,7 +1435,7 @@
   ['commonoptions',['CommonOptions',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml',1,'CommonOptions'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a8662573f8e597136672eadf017f6b53c',1,'arm_compute::test::framework::CommonOptions::CommonOptions(arm_compute::utils::CommandLineParser &amp;parser)'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a20a9bb6edc108f6ee20c822b68531b5d',1,'arm_compute::test::framework::CommonOptions::CommonOptions(const CommonOptions &amp;)=delete']]],
   ['commonoptions_2ecpp',['CommonOptions.cpp',['../_common_options_8cpp.xhtml',1,'']]],
   ['commonoptions_2eh',['CommonOptions.h',['../_common_options_8h.xhtml',1,'']]],
-  ['compare',['compare',['../structarm__compute_1_1test_1_1validation_1_1compare.xhtml',1,'arm_compute::test::validation']]],
+  ['compare',['compare',['../structarm__compute_1_1test_1_1validation_1_1compare.xhtml',1,'compare&lt; T &gt;'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7da5947996960e48cf958f1e722829ae',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb0925853b5ede7a77715e9c3494a0cc',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad1c2f04c530bae0379463c1414305a89',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9bfac7b9e4c2ff4299e279ae829791f',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2)']]],
   ['compare_3c_20absolutetolerance_3c_20u_20_3e_20_3e',['compare&lt; AbsoluteTolerance&lt; U &gt; &gt;',['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_absolute_tolerance_3_01_u_01_4_01_4.xhtml',1,'arm_compute::test::validation']]],
   ['compare_3c_20relativetolerance_3c_20u_20_3e_20_3e',['compare&lt; RelativeTolerance&lt; U &gt; &gt;',['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_relative_tolerance_3_01_u_01_4_01_4.xhtml',1,'arm_compute::test::validation']]],
   ['compare_5fbase',['compare_base',['../structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml',1,'compare_base&lt; T &gt;'],['../structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml#a42c8a61b86fc900746fef0f1f70a9430',1,'arm_compute::test::validation::compare_base::compare_base()']]],
@@ -1283,6 +1446,10 @@
   ['compare_5fdimensions',['compare_dimensions',['../namespacearm__compute_1_1test_1_1validation.xhtml#aea1f11d8f6aab979e9d4dc61c26aed65',1,'arm_compute::test::validation']]],
   ['compare_5fkeypoints',['compare_keypoints',['../namespacearm__compute_1_1test_1_1validation.xhtml#ace0d3bcb3a52d88fdd312957ed7f18fd',1,'arm_compute::test::validation']]],
   ['compare_5ftensor',['compare_tensor',['../namespacearm__compute_1_1utils.xhtml#a680c6253a783cf8591d65c3da13d3337',1,'arm_compute::utils']]],
+  ['comparisonoperation',['ComparisonOperation',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58c',1,'arm_compute']]],
+  ['comparisons_2ecl',['comparisons.cl',['../comparisons_8cl.xhtml',1,'']]],
+  ['comparisons_2ecpp',['Comparisons.cpp',['../_c_l_2_comparisons_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_comparisons_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_comparisons_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['comparisons_2eh',['Comparisons.h',['../_comparisons_8h.xhtml',1,'']]],
   ['compile_5fshader',['compile_shader',['../classarm__compute_1_1_g_c_program.xhtml#acab405c2120743ab9e063930064a6b0a',1,'arm_compute::GCProgram']]],
   ['compute_5fall_5fanchors',['compute_all_anchors',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab38cb5a1d32cbb556fea427595caf1d5',1,'arm_compute::test::validation::reference::compute_all_anchors(const SimpleTensor&lt; T &gt; &amp;anchors, const ComputeAnchorsInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad1d470be6666beb908f5aa645ae34f88',1,'arm_compute::test::validation::reference::compute_all_anchors(const SimpleTensor&lt; float &gt; &amp;anchors, const ComputeAnchorsInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2fa94aee6e1195a0e54a39eeec965a24',1,'arm_compute::test::validation::reference::compute_all_anchors(const SimpleTensor&lt; half &gt; &amp;anchors, const ComputeAnchorsInfo &amp;info)']]],
   ['compute_5fbatch_5fto_5fspace_5fshape',['compute_batch_to_space_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ac4d688e137d670d209b647ec37592a92',1,'arm_compute::misc::shape_calculator']]],
@@ -1290,34 +1457,41 @@
   ['compute_5fdeconvolution_5foutput_5fshape',['compute_deconvolution_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae270329cfe3dbab009b700318e8af8b4',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fdeconvolution_5fupsampled_5fshape',['compute_deconvolution_upsampled_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5c2e95d65407a26489ea38431ad851f5',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fdeep_5fconvolution_5fshape',['compute_deep_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5d320d308c16b8ddda3c9d3f60fad79c',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fdepthwise_5fconvolution_5fshape',['compute_depthwise_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab51afcfdb9caea9e8185ae6a42ba4779',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fdepthwise_5fconvolution_5fshape',['compute_depthwise_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab51afcfdb9caea9e8185ae6a42ba4779',1,'arm_compute::misc::shape_calculator::compute_depthwise_convolution_shape(const ITensorInfo &amp;input, const ITensorInfo &amp;weights, PadStrideInfo conv_info, unsigned int depth_multiplier)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a928f49376c42cf52fcff1d615034486f',1,'arm_compute::misc::shape_calculator::compute_depthwise_convolution_shape(const ITensorInfo &amp;input, int weights_width, int weights_height, PadStrideInfo conv_info, unsigned int depth_multiplier)']]],
   ['compute_5fflatten_5fshape',['compute_flatten_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a83efb6708574e67d13965bcd2059ad75',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5ffully_5fconnected_5freshaped_5fweights_5fshape',['compute_fully_connected_reshaped_weights_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a734391819bbd2b0fa8400c06b7956d9e',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fgather_5fshape',['compute_gather_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae6578c8df1088c90dfa0d1be6bca605d',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fim2col_5fconv_5fshape',['compute_im2col_conv_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a8a9286d053e9f3a958064e4f3cdd02f7',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5finterleave_5fcustom_5fshape',['compute_interleave_custom_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ac18940223de1db7f6ed6c49119be7cd8',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5finterleaved_5fshape',['compute_interleaved_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a8d52adbbcd2c53f837c96b5a3d15c4fb',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5flhs_5freshaped_5fshape',['compute_lhs_reshaped_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a389f89ab5121dad0906d0b7324fbf73d',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fmin_5fmax',['compute_min_max',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9585c7c2f19c8c051da1d927d3687e70',1,'arm_compute::test::validation::reference']]],
   ['compute_5fmin_5fmax_5fshape',['compute_min_max_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a1b843e3850ed7324d11f77882cc597ae',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fmm_5fshape',['compute_mm_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#adca241b012a5e00ddfcdc5a8db05a2a3',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5foutput_5fdescriptor',['compute_output_descriptor',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a78cd2cdd82038e9c3590cd182bf61127',1,'arm_compute::graph::ConcatenateLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::ConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DeconvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a93e83648d54591476e9757b3c2973339',1,'arm_compute::graph::FullyConnectedLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#ad887592cb4cdc3374806faf746ca9acd',1,'arm_compute::graph::PoolingLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a7ce797dcee923e64f870fa191634e731',1,'arm_compute::graph::PriorBoxLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#ad7492583a6f1f0f35f6e89829d4c379b',1,'arm_compute::graph::ReorgLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a1521316e452fc18391024f306ae389d5',1,'arm_compute::graph::SliceLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7',1,'arm_compute::graph::SplitLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a81730ee591fa0b1ec20e7adb17d44b5e',1,'arm_compute::graph::UpsampleLayerNode::compute_output_descriptor()']]],
+  ['compute_5fmm_5fshape',['compute_mm_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#adca241b012a5e00ddfcdc5a8db05a2a3',1,'arm_compute::misc::shape_calculator::compute_mm_shape(const ITensorInfo &amp;input0, const ITensorInfo &amp;input1, bool is_interleaved_transposed, const GEMMReshapeInfo &amp;reshape_info)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5076384fc9981ec1b497daab624a555b',1,'arm_compute::misc::shape_calculator::compute_mm_shape(const ITensorInfo &amp;input0, const ITensorInfo &amp;input1, const GEMMReshapeInfo &amp;gemm_info)']]],
+  ['compute_5foutput_5fdescriptor',['compute_output_descriptor',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a78cd2cdd82038e9c3590cd182bf61127',1,'arm_compute::graph::ConcatenateLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::ConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DeconvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a1cf6004dfffcf18d6c31a1d4c9f64e26',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#aac21d610e55242cebcc343d9a004db71',1,'arm_compute::graph::DetectionOutputLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a93e83648d54591476e9757b3c2973339',1,'arm_compute::graph::FullyConnectedLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#ad887592cb4cdc3374806faf746ca9acd',1,'arm_compute::graph::PoolingLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a7ce797dcee923e64f870fa191634e731',1,'arm_compute::graph::PriorBoxLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#ad7492583a6f1f0f35f6e89829d4c379b',1,'arm_compute::graph::ReorgLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a1521316e452fc18391024f306ae389d5',1,'arm_compute::graph::SliceLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7',1,'arm_compute::graph::SplitLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a81730ee591fa0b1ec20e7adb17d44b5e',1,'arm_compute::graph::UpsampleLayerNode::compute_output_descriptor()']]],
   ['compute_5foutput_5fstage_5fshape',['compute_output_stage_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a1d3b8af21d25d9e6871673565f9f7532',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpadded_5fshape',['compute_padded_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a4e7f3187350db69156c1026860ace4e5',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpermutation_5foutput_5fshape',['compute_permutation_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a593fb7ecc281425b190cd6f20164b1a3',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpool_5fshape',['compute_pool_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fprior_5fbox_5fshape',['compute_prior_box_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae3f672f124e4228db364bb811e770226',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freduced_5fshape',['compute_reduced_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a0b0f2e38b65473f68561e0598c3107ff',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freduction_5foperation',['compute_reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aea574dd283dd023938212166d4ee8404',1,'arm_compute::test::validation::reference']]],
   ['compute_5freductiona_5fshape',['compute_reductionA_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a60ce6c017f70d978b48b101ce314969e',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5freductionb_5fshape',['compute_reductionB_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a69f9b3191aafc4905f9d029ff9d48fea',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5freorg_5foutput_5fshape',['compute_reorg_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#afbc83cd4145d161da4c026e1f5743e1d',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freshaped_5fdepthwise_5fweights_5fshape',['compute_reshaped_depthwise_weights_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a3f10bc0f3e2a0126ce8c26e3d6a8fb96',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5frgb_5fvalue',['compute_rgb_value',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a99b8d9c2d8305c4d51da543c1f609299',1,'arm_compute::test::colorconvert_helper::detail']]],
+  ['compute_5frhs_5freshaped_5fshape',['compute_rhs_reshaped_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a09ad10a110d947fd9c444b2ea5e4c127',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5frnn_5fshape',['compute_rnn_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#af98bc3ef5c65dbb63bc79700ccdd043b',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fslice_5foutput_5fshape',['compute_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a8102d4bb8d7cb6a4ccf5e5e422b2a751',1,'arm_compute::helpers::tensor_transform']]],
+  ['compute_5froi_5falign_5fshape',['compute_roi_align_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a3d3eaddfd85c16e7a9a385ba0e6a45b0',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fslice_5fshape',['compute_slice_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a30c67d11c15378ffe67ca3c31e848917',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fsoftmax_5fshape',['compute_softmax_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad16b366db486fec63b6d962937ec4545',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fspace_5fto_5fbatch_5fshape',['compute_space_to_batch_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a585529133e437dc5f935d33de17c4abb',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fsplit_5fshape',['compute_split_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#abe10cfa0b480704109fd1a925301f58b',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fstack_5fshape',['compute_stack_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a32c692ab35f40f9ce6e27e1f4016e921',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fstrength',['compute_strength',['../fast__corners_8cl.xhtml#aea4e2a64dfdec6a9ecf62f8cd518fc17',1,'fast_corners.cl']]],
-  ['compute_5fstrided_5fslice_5foutput_5fshape',['compute_strided_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#af13ccc2d4ed13a513cf7d031233cbfdd',1,'arm_compute::helpers::tensor_transform']]],
+  ['compute_5fstrided_5fslice_5foutput_5fshape',['compute_strided_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174',1,'arm_compute::helpers::tensor_transform']]],
   ['compute_5fstrided_5fslice_5fshape',['compute_strided_slice_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab288dc7ed664925c6f992b0e6aa3bc1b',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fstrides',['compute_strides',['../namespacearm__compute.xhtml#ac56739a30823647f7d86a0380a2ff62e',1,'arm_compute::compute_strides(const ITensorInfo &amp;info, T stride_x, Ts &amp;&amp;... fixed_strides)'],['../namespacearm__compute.xhtml#a8c35748731709927597cb5a2c227e682',1,'arm_compute::compute_strides(const ITensorInfo &amp;info)']]],
+  ['compute_5ftiled_5fshape',['compute_tiled_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a626cdfbacb377ee26462155d421717d3',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftranspose1xw_5fshape',['compute_transpose1xW_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a70a2ef9fd754b5798a0a92656f8b5fcf',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftranspose1xw_5fwith_5felement_5fsize_5fshape',['compute_transpose1xW_with_element_size_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5797726a8fbee3b11b92757c2f0031d6',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftransposed_5fshape',['compute_transposed_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a69cb11b5b37f94a6bea9eaad9d13cccf',1,'arm_compute::misc::shape_calculator']]],
@@ -1334,7 +1508,7 @@
   ['computeallanchors_2ecpp',['ComputeAllAnchors.cpp',['../_compute_all_anchors_8cpp.xhtml',1,'']]],
   ['computeallanchors_2eh',['ComputeAllAnchors.h',['../_compute_all_anchors_8h.xhtml',1,'']]],
   ['computeanchorsinfo',['ComputeAnchorsInfo',['../classarm__compute_1_1_compute_anchors_info.xhtml',1,'ComputeAnchorsInfo'],['../classarm__compute_1_1_compute_anchors_info.xhtml#a754fb667b78b7376c989a3923d172ff9',1,'arm_compute::ComputeAnchorsInfo::ComputeAnchorsInfo()']]],
-  ['concat',['CONCAT',['../tests_2framework_2_macros_8h.xhtml#a6c274ed8a1a31eb195191c849ae4ff6f',1,'CONCAT():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7',1,'arm_compute::test::framework::dataset::concat()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af88100056fa341e6cb1b2fe3a2d520e7',1,'arm_compute::test::validation::concat()']]],
+  ['concat',['concat',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7',1,'arm_compute::test::framework::dataset::concat()'],['../tests_2framework_2_macros_8h.xhtml#a6c274ed8a1a31eb195191c849ae4ff6f',1,'CONCAT():&#160;Macros.h']]],
   ['concatenate_2ecl',['concatenate.cl',['../concatenate_8cl.xhtml',1,'']]],
   ['concatenatelayer',['ConcatenateLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5c436066fbad2e22ccab352c0d554809',1,'arm_compute::graph']]],
   ['concatenatelayernode',['ConcatenateLayerNode',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml',1,'ConcatenateLayerNode'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3fd97b1634e46fabfaf9ec285fa0d3dc',1,'arm_compute::graph::ConcatenateLayerNode::ConcatenateLayerNode()']]],
@@ -1342,13 +1516,14 @@
   ['concatenatelayernode_2eh',['ConcatenateLayerNode.h',['../_concatenate_layer_node_8h.xhtml',1,'']]],
   ['concatenation_5faxis',['concatenation_axis',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a051cd2a8d15cf783e9ab9a00451c77f6',1,'arm_compute::graph::ConcatenateLayerNode']]],
   ['concatlayer',['ConcatLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml',1,'ConcatLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#ab92fa4522a5f22a09ebcc4056c20feff',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(SubStream &amp;&amp;sub_stream1, SubStream &amp;&amp;sub_stream2, Ts &amp;&amp;... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a33627d6868c85c98f796ba375f07ce30',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(DataLayoutDimension axis, SubStream &amp;&amp;sub_stream1, SubStream &amp;&amp;sub_stream2, Ts &amp;&amp;... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a3a157200f2d59f07ad6acb50423d6d28',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(SubStream &amp;&amp;sub_stream)']]],
+  ['confidence_5fthreshold',['confidence_threshold',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a47c941c24980e6f61a74986c4a16c16c',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['config',['config',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a9c24c14abfd0ab9d1f4ce8cd5cc20819',1,'arm_compute::graph::GraphContext::config()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a73e99d350a4aa6f1a5af04ec29173f73',1,'arm_compute::test::framework::CONFIG()']]],
   ['config_5fid',['config_id',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb',1,'arm_compute::ICLKernel']]],
-  ['configure',['configure',['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a1a4031af60bf9aff1b58a3acf3c95fae',1,'arm_compute::ICLSimpleKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_kernel.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulateKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted_kernel.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared_kernel.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a1048af0714f442881a9232395107e963',1,'arm_compute::CLArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLArithmeticDivisionKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a1048af0714f442881a9232395107e963',1,'arm_compute::CLArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a594b089aecb32029f92043028d98cb9a',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAndKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_not_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNotKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOrKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXorKernel::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransformKernel::configure()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLBox3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#ad67340e556964fbc6aee83f7b2ff8101',1,'arm_compute::CLGradientKernel::configure()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a209e05c2e2bf4d5fb2b9e3f75c7d79aa',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#af4b40677259a11edd3e83e82c1c6dd9d',1,'arm_compute::CLEdgeTraceKernel::configure()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombineKernel::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombineKernel::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtractKernel::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtractKernel::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a109e7bd51a51a6aecaa2402a06deb3a7',1,'arm_compute::CLCol2ImKernel::configure()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvertKernel::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvertKernel::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb',1,'arm_compute::CLConvolutionKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f',1,'arm_compute::CLSeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436',1,'arm_compute::CLSeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#abcf9df2e9d1da8abf27ca1678951673f',1,'arm_compute::CLConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a9b9e5f5eda4acf7ca7c94e281dff7a34',1,'arm_compute::CLCopyKernel::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a6f53fcc87865ecf2868305b85ec7460b',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a96671071c32559313f5827c5487f9f72',1,'arm_compute::CLDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#ac8fd96dc84b439ae650ee005b8fa6455',1,'arm_compute::CLDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a0958dbd0887df9802a2433316e8fc6b7',1,'arm_compute::CLDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#ab4ce8dea224953952665e2b0d3e0ece7',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLDerivativeKernel::configure()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLDilateKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a5fcbc12271b2180b57b5a74d421d0448',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLErodeKernel::configure()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a84deccfff9f686445194594e058284bf',1,'arm_compute::CLFastCornersKernel::configure()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a1d8f06853b678915058ff9e8259948b3',1,'arm_compute::CLCopyToArrayKernel::configure()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06',1,'arm_compute::CLFillBorderKernel::configure()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayerKernel::configure()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloorKernel::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#afd2d183e25b5152a0cfbd899018ec3cf',1,'arm_compute::CLGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a4ed20a874d049cc5042bfbe7f81733a3',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a094cc43211df267051139e766f002d77',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a33fe5175eae0e28983aad913a69fb136',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#afac9564563d8a9c3219cf20e81d29314',1,'arm_compute::ICLGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a613f25e524dbabbff55ea9d7df53c7f6',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#aa526095c6ddce38f2ef22d45e18e2fe2',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#acd42d73bdf14e61d6414450f134e9651',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a00ca198bac061a1fdfbb4246e7048e63',1,'arm_compute::CLGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a402bc3f15cdaa56d105f3954fb4ea876',1,'arm_compute::CLGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a9718c86f3b9141ca3f05ede073e17d12',1,'arm_compute::CLGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchorsKernel::configure()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#aab77e3e19e73caf469b27792d710a3be',1,'arm_compute::CLHarrisScoreKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramBorderKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#aee747cfad262c60d10befc32e5315e4e',1,'arm_compute::CLHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae2df93f92808deb66ddc274ee9b27307',1,'arm_compute::CLHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ad2a21fbefb021552240795ae5b7e8095',1,'arm_compute::CLHOGDetectorKernel::configure()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a6bc1be5100f77f4a136d8935b06d5ac6',1,'arm_compute::CLIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImageHorKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a2ee43bea6ad1257f88be93bdd4fff2cf',1,'arm_compute::CLIntegralImageVertKernel::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ad7ee2c6ba4a132418b0c5d76809c1b8d',1,'arm_compute::CLL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#adc3ba3031b85b80ceacde189d1ebe2aa',1,'arm_compute::CLLKTrackerInitKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5',1,'arm_compute::CLLKTrackerFinalizeKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#af50d75c9037fab52ec75dd9be62103a3',1,'arm_compute::CLLKTrackerStage0Kernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#ad4e047471bcabdeae5c07e1ed627ce64',1,'arm_compute::CLLKTrackerStage1Kernel::configure()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a97c0a4edbeca3c32dda036b81446a4d9',1,'arm_compute::CLMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082',1,'arm_compute::CLMeanStdDevKernel::configure()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLMedian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#aebb9f67d374f696f9b064422b055072f',1,'arm_compute::CLMemsetKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#abc0a058391c8944b83257ec47b0211b9',1,'arm_compute::CLMinMaxKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#aaac9d68119e223b67847deb43021630f',1,'arm_compute::CLMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a09ed8b2a062c440ad00a290624c39319',1,'arm_compute::CLNonLinearFilterKernel::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a63cacfe183fc86f74c1f3788b14f88da',1,'arm_compute::CLNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermuteKernel::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a3e0a2f39d9dc0f7083aef3b37335afff',1,'arm_compute::CLPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a13226200322fb9ca881174695946705c',1,'arm_compute::CLPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a011d273b10af543a37a8d27a8267e1f2',1,'arm_compute::CLPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a33657445d6cf5905c0b74e566f769069',1,'arm_compute::CLQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#aa895004d9c98611ee8b77a512bd85b82',1,'arm_compute::CLReductionOperationKernel::configure()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#ad55d92eda4737d79e57dfdf99e447fb3',1,'arm_compute::CLRemapKernel::configure()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#afde206f970de174fc68395757ff451a9',1,'arm_compute::CLReorgLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#afb23d18dd11dece42afaf022216d3056',1,'arm_compute::CLROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aa6d582c489816426715ac5cdcf079334',1,'arm_compute::CLScaleKernel::configure()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLScharr3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel7x7HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel7x7VertKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a',1,'arm_compute::CLLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794',1,'arm_compute::CLLogits1DNormKernel::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a204b850eee892b4b6e0cccc160327b34',1,'arm_compute::CLStridedSliceKernel::configure()'],['../classarm__compute_1_1_c_l_table_lookup_kernel.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookupKernel::configure()'],['../classarm__compute_1_1_c_l_threshold_kernel.xhtml#af95973be8cc372e60a6872e18176d1de',1,'arm_compute::CLThresholdKernel::configure()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTransposeKernel::configure()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a96684c902f976541178bf6fee2342c2b',1,'arm_compute::CLUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpAffineKernel::configure()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpPerspectiveKernel::configure()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a32630202628891fb30458ef84581ad2a',1,'arm_compute::CLWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLWidthConcatenate2TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#ab830c43458598cdfd7d2f8751e2009b0',1,'arm_compute::CLWidthConcatenate4TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a055116cefc341baaeba1dd9fb25e0432',1,'arm_compute::CLWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradFilterTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradInputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a87b8490ebd6249b86c82146c81814fbd',1,'arm_compute::CLWinogradOutputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayerKernel::configure()'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ab60ae5748eb0078dc0c69f57f5ead044',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::configure()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a4a5bcfcb1a9a25daecc442af866f0632',1,'arm_compute::CPPCornerCandidatesKernel::configure()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ad56ff9909955d92abeabbe43c1a21bd9',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::configure()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::CPPFlipWeightsKernel::configure()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermuteKernel::configure()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a5bcc803e3a8b159ba7f09acb25dba452',1,'arm_compute::CPPSortEuclideanDistanceKernel::configure()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsampleKernel::configure()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a86c574f15dfe0d3176db14c5b61e93c8',1,'arm_compute::IGCSimpleKernel::configure()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a532d29716a4ea6315294f4d892ce34ce',1,'arm_compute::GCBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a1aebc8a9a10fb43c9a39d241d0c11338',1,'arm_compute::GCCol2ImKernel::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#aa304f590ac74910d1b8fd316c3011f10',1,'arm_compute::GCDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a7f6e3974ca16d20064fe794c5334c410',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab904c60f24f8f8f44e24d71f337c86a9',1,'arm_compute::GCDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayerKernel::configure()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a148acc5bac0dddc8d512b4d91bd2a7ba',1,'arm_compute::GCFillBorderKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#ad9780f8be8833600c97e756bf6d5082b',1,'arm_compute::GCGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ada3b192e7f6ec5a8950b57fae93e9166',1,'arm_compute::GCGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a2461b3d633deab1e051da8170c959b2a',1,'arm_compute::GCIm2ColKernel::configure()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a0fe8c14c103310596d49a4418852a1d8',1,'arm_compute::GCNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad55c5127caaf1bfa070bf696912c2605',1,'arm_compute::GCPoolingLayerKernel::configure()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#afeaa46f1b40b37692d80cb38c426e4d6',1,'arm_compute::GCScaleKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_max_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a9b315185b36dd900eb209d005d630310',1,'arm_compute::GCLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#adeaa28cbd0f25f372fca145853a763ad',1,'arm_compute::GCLogits1DNormKernel::configure()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShiftKernel::configure()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTransposeKernel::configure()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a2ea575697d78a178f34e75ae9b410069',1,'arm_compute::GCWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#aed51cd474d496c265ab8e929f39dc01b',1,'arm_compute::NEAccumulateKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ad3a581db799a5767c08d8f35a4a6a39a',1,'arm_compute::NEAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ae228f773f5a010373010a0851ab18663',1,'arm_compute::NEAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAndKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNotKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOrKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXorKernel::configure()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEBox3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a0c6175a719b3ef4c20d8e2fc45d6990d',1,'arm_compute::NEGradientKernel::configure()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a57a36344e261edfdfa97b19ac40b7c30',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NEEdgeTraceKernel::configure()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombineKernel::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombineKernel::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtractKernel::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtractKernel::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2ImKernel::configure()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvertKernel::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvertKernel::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222',1,'arm_compute::NEConvolutionKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625',1,'arm_compute::NESeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22',1,'arm_compute::NESeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9',1,'arm_compute::NEConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NECopyKernel::configure()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a46fb538865fc693f55ec7ab7a5e5f833',1,'arm_compute::NECumulativeDistributionKernel::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aae09154c5d796f6db2488902c18a9085',1,'arm_compute::NEDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abdb04567f7268ac53524f539ac95e6ab',1,'arm_compute::NEDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a29d3078f38e36beb0ceb70defdc2fae4',1,'arm_compute::NEDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a95a64af5eae0984b395d5fbebff9601c',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEDerivativeKernel::configure()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEDilateKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a537ba0d35bcc8d5488da55d1a27c89a3',1,'arm_compute::NEDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a470bdfe5ac891c030b8d196574ba17ef',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEErodeKernel::configure()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a39d3a9d0c6485af41190686e323b77cc',1,'arm_compute::NEFastCornersKernel::configure()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#afa45181af3fb6daaa8aa5627c1ae6c43',1,'arm_compute::NEFillArrayKernel::configure()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a12f5fc5a4fc18544922aebb0fcbf4eb6',1,'arm_compute::NEFillBorderKernel::configure()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a20f5ced683d0dee51545a9df41f0080a',1,'arm_compute::NEFillInnerBorderKernel::configure()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayerKernel::configure()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a5c38898607a293553b7eb9400bcf47c4',1,'arm_compute::NEGEMMAssemblyBaseKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ac2d2c3aba01ee0bb08be57a5997f1cab',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a21be396e5269651901fc70aad74cfafb',1,'arm_compute::INEGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a337aaba1994da7f890b56198dced037d',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a673dafe3735e42124b5104dfe64745ff',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aed1adf983092c2f8af29eba1dc29920c',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#abd3df2f9251266926538e4c020652996',1,'arm_compute::NEGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a4ee07709711414457834cc5d1c2c6cdb',1,'arm_compute::NEGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a78f06197fd4f4fb471c21257252031ec',1,'arm_compute::INEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ae3278fce9a66ca7603efcb367e6b3816',1,'arm_compute::NEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aa6f4a855483e2d24a509181faa893b75',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output, uint32_t *local_hist, uint32_t *window_lut)'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output)'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a1ca4abc9d169a56f8469b31bba439f05',1,'arm_compute::NEHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#abe08b9f8d4a3bd083ebae3d1cb65a2b5',1,'arm_compute::NEHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab30727bb790077928853eb3c617bb632',1,'arm_compute::NEHOGDetectorKernel::configure()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImageKernel::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a7b9a0d39ba4aa3e6feba587a149d69e5',1,'arm_compute::NEL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a9db04388927168bc8d9423087dfa8a6d',1,'arm_compute::NELKTrackerKernel::configure()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a885b754efced9144226ada4c202574b6',1,'arm_compute::NEMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a22fb6b7d1bd5ce8a90c61780c94cebbb',1,'arm_compute::NEMeanStdDevKernel::configure()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEMedian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#aa977f349fb2c7d5ae7cd41fee339668a',1,'arm_compute::NEMinMaxKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab85de2b20def413700f940020fe8d7e3',1,'arm_compute::NENonLinearFilterKernel::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NENonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7b1cd624e23b7144b6962c19f426a166',1,'arm_compute::NENormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermuteKernel::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab214c0eb5acd40bde3f8a3fb6c0a6613',1,'arm_compute::NEPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#acfc7162ac184ca219f917d039c58233c',1,'arm_compute::NEPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a84481fca3a7ab8e4b5035ba8b8170de3',1,'arm_compute::NEReductionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a24cf804e6bcb60737bf447693c87d616',1,'arm_compute::NERemapKernel::configure()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#adeb567b082b0ce7612d13bc1068db5d8',1,'arm_compute::NEROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa13b6f52790e5ec90e37a9834611c1c8',1,'arm_compute::NEScaleKernel::configure()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEScharr3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a1aea9496b59f665829dfebcac7c6e8f3',1,'arm_compute::NESobel5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel7x7HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ad97cc0c4d977253aa096953ff5aefcae',1,'arm_compute::NESobel7x7VertKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NELogits1DMaxKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ad7a5f63cd7550fd2712d6c0e1e677419',1,'arm_compute::NELogits1DSoftmaxKernel::configure()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookupKernel::configure()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d39d8cd067212d4e6d93d5619acb59e',1,'arm_compute::NEThresholdKernel::configure()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETransposeKernel::configure()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ac96f4300f1def899a8e029d7ea9dc050',1,'arm_compute::NEUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a1aad3191e6d0d90fa0114a355ac52991',1,'arm_compute::INEWarpKernel::configure()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a82ef5733f0c6bf93473ec5f12c067338',1,'arm_compute::NEWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a3b79db59a7b23f2d26d21c618343f40c',1,'arm_compute::NEWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a75659fbb7d7929b4494bee1969fd4b9e',1,'arm_compute::INEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a326ad83c687d67a9e7cd36d1d03f7d9b',1,'arm_compute::NEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a4e3a05a0aa351da358238d945fbc4de7',1,'arm_compute::INEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a2b01c230c011d65c44f8e4cb316be002',1,'arm_compute::NEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayerKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifference::configure()'],['../classarm__compute_1_1_c_l_accumulate.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulate::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeighted::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquared::configure()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayer::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticAddition::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLArithmeticDivision::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticSubtraction::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a8f62be2862965a1c3c81b683ad679170',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, int32_t block_shape_x, int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAnd::configure()'],['../classarm__compute_1_1_c_l_bitwise_not.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNot::configure()'],['../classarm__compute_1_1_c_l_bitwise_or.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOr::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXor::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransform::configure()'],['../classarm__compute_1_1_c_l_box3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLBox3x3::configure()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#aa874f9e002bdb799f38411a5fef07b1d',1,'arm_compute::CLCannyEdge::configure()'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombine::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombine::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtract::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtract::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayer::configure()'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvert::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvert::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchors::configure()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#af2697561aa0a29dc989880d72a14e2e2',1,'arm_compute::CLConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolution3x3::configure()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolutionSquare::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2',1,'arm_compute::CLConvolutionRectangle::configure()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ae0c61dabbcfeda5c7f01a7ae66e58b2c',1,'arm_compute::CLConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_copy.xhtml#ad1a757fab7094ad4f38bdd11d369f6ae',1,'arm_compute::CLCopy::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a68de418b8175bca40450f63405172bd1',1,'arm_compute::CLDeconvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#afefc21cb9bbf278c5110778f28960b10',1,'arm_compute::CLDeconvolutionLayerUpsample::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a83ae088f4aecbc4c16f279352448d845',1,'arm_compute::CLDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ae536ece130ddb5e22e7f11e6b67f1673',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#af82e4a3d1702751e2d6aca04702adf26',1,'arm_compute::CLDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#af7ca3f45f6dbfc7737c75fbf91fcc4c5',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayer::configure()'],['../classarm__compute_1_1_c_l_derivative.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLDerivative::configure()'],['../classarm__compute_1_1_c_l_dilate.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLDilate::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c',1,'arm_compute::CLDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#a78c50e58e4c8be6de11ac6e78ca02eff',1,'arm_compute::CLEqualizeHistogram::configure()'],['../classarm__compute_1_1_c_l_erode.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLErode::configure()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ac519f19806984be1fddf6c04ea508626',1,'arm_compute::CLFastCorners::configure()'],['../classarm__compute_1_1_c_l_fill_border.xhtml#acd47b636ec90ab214e6f194989ea7af5',1,'arm_compute::CLFillBorder::configure()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayer::configure()'],['../classarm__compute_1_1_c_l_floor.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloor::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ab205e8e07c4eff3197d0c8cc85a4488d',1,'arm_compute::CLFullyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalization::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian3x3::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian5x5::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#ae518f24b88a33e296030407e1a42d5fb',1,'arm_compute::CLGaussianPyramid::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5',1,'arm_compute::CLGEMM::configure()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ace0b4143d0ca4435da8123ac9073e59c',1,'arm_compute::CLConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ac485da01d91da9e1c97a7da2b9b91ad5',1,'arm_compute::CLGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a01a8a849ea1f7fb96263093b7d6978a9',1,'arm_compute::CLGenerateProposalsLayer::configure()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#a1c35ef0fadb16911061a0a54be3c17af',1,'arm_compute::CLHarrisCorners::configure()'],['../classarm__compute_1_1_c_l_histogram.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogram::configure()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#aa13cb80b9e2387f342aa75b205529a10',1,'arm_compute::CLHOGDescriptor::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#af3f7d04fe1de62ddbed7bf165c9d7ec8',1,'arm_compute::CLHOGDetector::configure()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#a229bdf53bc1dad3b2408d48db8bcaa96',1,'arm_compute::CLHOGGradient::configure()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ab5d20af02c277cdfdb18dc5ead27ffb7',1,'arm_compute::CLHOGMultiDetection::configure()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImage::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a38db42f03d3dad52b9ddc3fab7cbfa1e',1,'arm_compute::CLL2NormalizeLayer::configure()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#affa012258b464b065d72cc26657119d4',1,'arm_compute::CLLaplacianPyramid::configure()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#a129d848ae0d03b4d4dcbc5e3763623cf',1,'arm_compute::CLLaplacianReconstruct::configure()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLLocallyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa0f7635e5dffc50c235e8879637f7462',1,'arm_compute::CLLSTMLayer::configure()'],['../classarm__compute_1_1_c_l_magnitude.xhtml#a1741c99b2bc2b77bb719d185d52968e2',1,'arm_compute::CLMagnitude::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c',1,'arm_compute::CLMeanStdDev::configure()'],['../classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLMedian3x3::configure()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a8ddb1ad6ae46202fbdc5fb1034b1abd3',1,'arm_compute::CLMinMaxLocation::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter.xhtml#a53cae19fbb200bd9479868919e9045ee',1,'arm_compute::CLNonLinearFilter::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3.xhtml#a1a3dfd8c194044e7aafeafe5ca8dce59',1,'arm_compute::CLNonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ab1b1b768d23eaf10f5f810436c4c856e',1,'arm_compute::CLNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601',1,'arm_compute::CLOpticalFlow::configure()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a636e98cb50c051f148f7a811f5000bf3',1,'arm_compute::CLPadLayer::configure()'],['../classarm__compute_1_1_c_l_permute.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermute::configure()'],['../classarm__compute_1_1_c_l_phase.xhtml#ac64385feb4cfd5ea1f7e2dc4414392aa',1,'arm_compute::CLPhase::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#ab49eaee7b0a9443f7cbd3a73fd0bf2b2',1,'arm_compute::CLPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#a18f66b53b41f27ca9942695488d8c7aa',1,'arm_compute::CLPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a2620e3db79dcdb5c7596de1c9bb5d8dd',1,'arm_compute::CLPriorBoxLayer::configure()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLQuantizationLayer::configure()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ac43ed2b0714a5af0ce1916c03e60cb40',1,'arm_compute::CLReduceMean::configure()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a01cf6dddf3f8768da106527d2f1ee7c5',1,'arm_compute::CLReductionOperation::configure()'],['../classarm__compute_1_1_c_l_remap.xhtml#ac1eb01546c2f93af14ee04f4a0f8c30a',1,'arm_compute::CLRemap::configure()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#a11c13a920a4b8c61aaf6a92bd2ece880',1,'arm_compute::CLReorgLayer::configure()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayer::configure()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a',1,'arm_compute::CLRNNLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml#afb23d18dd11dece42afaf022216d3056',1,'arm_compute::CLROIPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa5f9a9b25bd6f529c29939f6269d59f5',1,'arm_compute::CLScale::configure()'],['../classarm__compute_1_1_c_l_scharr3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLScharr3x3::configure()'],['../classarm__compute_1_1_c_l_slice.xhtml#ae883a7cb96f6111b0e8bf3a64842c438',1,'arm_compute::CLSlice::configure()'],['../classarm__compute_1_1_c_l_sobel3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel3x3::configure()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel5x5::configure()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel7x7::configure()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ae3fdd368418ef45db831786e741ea1bb',1,'arm_compute::CLSoftmaxLayer::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_split.xhtml#afcb41f18e93cefd65fe2e1ba5abce65f',1,'arm_compute::CLSplit::configure()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a5d801cf9e04174c1898753ef8efb004f',1,'arm_compute::CLStridedSlice::configure()'],['../classarm__compute_1_1_c_l_table_lookup.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookup::configure()'],['../classarm__compute_1_1_c_l_threshold.xhtml#a62c37ae969be3b04e0bdceffb4a1dadb',1,'arm_compute::CLThreshold::configure()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTranspose::configure()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#aff07d307883c8ef914c2fac1ec8bfbb8',1,'arm_compute::CLUpsampleLayer::configure()'],['../classarm__compute_1_1_c_l_warp_affine.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpAffine::configure()'],['../classarm__compute_1_1_c_l_warp_perspective.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpPerspective::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#af4ddbd4c29dde0d597d24b4e437a0474',1,'arm_compute::CLWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a795a5e806f4334092fc9f491fe794998',1,'arm_compute::CLWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a703fa268e40647a42ebded33750fe74e',1,'arm_compute::CLWinogradInputTransform::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayer::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimit::configure()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermute::configure()'],['../classarm__compute_1_1_c_p_p_upsample.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsample::configure()'],['../classarm__compute_1_1_g_c_absolute_difference.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifference::configure()'],['../classarm__compute_1_1_g_c_activation_layer.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayer::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAddition::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ab66d55b5fca2d08c253e4e9a37f9c6bc',1,'arm_compute::GCBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#a35aacc414eddf01fa5ae44483c110a33',1,'arm_compute::GCConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a9d4bf10fbda1b7ca0b4c205512dc5a93',1,'arm_compute::GCConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a23b17ec4756c9c9ab563617773e01f3a',1,'arm_compute::GCDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#aeb446e905def41593c0d479215fd32a3',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a17f216ad80126a2e84cd8c1210b9d1da',1,'arm_compute::GCDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayer::configure()'],['../classarm__compute_1_1_g_c_fill_border.xhtml#af8e3f0c5652d8264b400eac38324e3bc',1,'arm_compute::GCFillBorder::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0effb36388142226203c802f31614634',1,'arm_compute::GCFullyConnectedLayer::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a8184f9bf2e8f4fdc16cfe7812e229d95',1,'arm_compute::GCGEMM::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#a8d636dd5daa60351d1c2b941a9260ed6',1,'arm_compute::GCNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ab012a57f810664a63407e5ffa21bbf5c',1,'arm_compute::GCPoolingLayer::configure()'],['../classarm__compute_1_1_g_c_scale.xhtml#a8a339354a1e4d09de5a3022e4f20d0d2',1,'arm_compute::GCScale::configure()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#a87e0f86361e9b6d237464d91ce76fbfa',1,'arm_compute::GCSoftmaxLayer::configure()'],['../classarm__compute_1_1_g_c_tensor_shift.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShift::configure()'],['../classarm__compute_1_1_g_c_transpose.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTranspose::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a94f886defb7bb45794dffcabc41f9df3',1,'arm_compute::NEGEMMInterleavedWrapper::configure()'],['../classarm__compute_1_1_n_e_absolute_difference.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifference::configure()'],['../classarm__compute_1_1_n_e_accumulate.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEAccumulate::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted.xhtml#a801bafb0db80b93605302dac80a59844',1,'arm_compute::NEAccumulateWeighted::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08',1,'arm_compute::NEAccumulateSquared::configure()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayer::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticAddition::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticSubtraction::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_bitwise_and.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAnd::configure()'],['../classarm__compute_1_1_n_e_bitwise_not.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNot::configure()'],['../classarm__compute_1_1_n_e_bitwise_or.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOr::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXor::configure()'],['../classarm__compute_1_1_n_e_box3x3.xhtml#a61457d73c8ae60ad9f4cc00089e282c7',1,'arm_compute::NEBox3x3::configure()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a0626bbb35eb3e06a00802bbfeecf4f47',1,'arm_compute::NECannyEdge::configure()'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombine::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombine::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtract::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtract::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayer::configure()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2Im::configure()'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvert::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvert::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ab70441cdeeff00a0b3d22b74ded95251',1,'arm_compute::NEConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolution3x3::configure()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolutionSquare::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle.xhtml#ac230ba3519565b12566edfdd99859ed0',1,'arm_compute::NEConvolutionRectangle::configure()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a267ccefe12296abe0f816cc9456a519a',1,'arm_compute::NEConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_copy.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NECopy::configure()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af7844db7c841f3f117547b7bd6ccfc55',1,'arm_compute::NEDeconvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a9b66b91468f1f0d9c49b68a773530482',1,'arm_compute::NEDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#a1d1923da1e9f49c28bf0b38c27b7eb8c',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayer::configure()'],['../classarm__compute_1_1_n_e_derivative.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEDerivative::configure()'],['../classarm__compute_1_1_n_e_dilate.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEDilate::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#af63dd2106fa1a4083e57d8816b4b2048',1,'arm_compute::NEDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#acbd66cc67e7dedcc3d94a7ab0be5781c',1,'arm_compute::NEEqualizeHistogram::configure()'],['../classarm__compute_1_1_n_e_erode.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEErode::configure()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#a182eb968f1c107bf5ee575cb1b7f031c',1,'arm_compute::NEFastCorners::configure()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ab2db56d349cee3849dbfac825d916fd6',1,'arm_compute::NEFillBorder::configure()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayer::configure()'],['../classarm__compute_1_1_n_e_floor.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloor::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49',1,'arm_compute::NEFullyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian3x3::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian5x5::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a569064c220a3a2bf4b7af719b8d54cba',1,'arm_compute::NEGaussianPyramid::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a385241dcc5062af6ecac8bdafe01bb2a',1,'arm_compute::NEGEMM::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aeaf9e7d6e24ea7e4de46ed92a0c4aa3d',1,'arm_compute::NEGEMMAssemblyDispatch::configure()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a61ca4e4a2e1326e12855748838eab503',1,'arm_compute::NEConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a97f4fd717623515cacaa206a889933ce',1,'arm_compute::NEGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ab6b3c14dd280e6af9d37e4347a56417e',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ae939cbc6a8a6747f193bfe8b54a7881c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#aa74c5caac74b27db3319b4a5710f7a98',1,'arm_compute::NEHarrisCorners::configure()'],['../classarm__compute_1_1_n_e_histogram.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogram::configure()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#af3e91dd25d2bd7d3f3a0c74cdc77d7c4',1,'arm_compute::NEHOGDescriptor::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector.xhtml#aec1e0dba94a632dc99953a9015684115',1,'arm_compute::NEHOGDetector::configure()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ac6ae2d00f75c768927d9529998608aaa',1,'arm_compute::NEHOGGradient::configure()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a8fa7fa549af77189982f584036c14271',1,'arm_compute::NEHOGMultiDetection::configure()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2Col::configure()'],['../classarm__compute_1_1_n_e_integral_image.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImage::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a0d248571810a368dcd004e928bd77345',1,'arm_compute::NEL2NormalizeLayer::configure()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a57e777ebd638595cbcaff4c45dbaa351',1,'arm_compute::NELaplacianPyramid::configure()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae',1,'arm_compute::NELaplacianReconstruct::configure()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a38198731404a741d75225ae36baf100a',1,'arm_compute::NELocallyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa899feaf94d69eb04afb0cd412869548',1,'arm_compute::NELSTMLayer::configure()'],['../classarm__compute_1_1_n_e_magnitude.xhtml#a1aa524e83bd73b149831dc0bb6e39e7e',1,'arm_compute::NEMagnitude::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#a95812d053b0216b1d9c1f5131db6e880',1,'arm_compute::NEMeanStdDev::configure()'],['../classarm__compute_1_1_n_e_median3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEMedian3x3::configure()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocation::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter.xhtml#ae2e668c3765731c5f71a324e15f131b8',1,'arm_compute::NENonLinearFilter::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3.xhtml#a6c9ef0526118071156055c1e2c2ca0c4',1,'arm_compute::NENonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a89681b033dd94cd53456d7365a91f7cd',1,'arm_compute::NENormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c',1,'arm_compute::NEOpticalFlow::configure()'],['../classarm__compute_1_1_n_e_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermute::configure()'],['../classarm__compute_1_1_n_e_phase.xhtml#adcb14816dc8d62ecdc185f4d3f1cd4d4',1,'arm_compute::NEPhase::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a080bc209f47babf3bc587f49b4286e53',1,'arm_compute::NEPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#a6fa6e4b65796fd0bf43da9b4d617d568',1,'arm_compute::NEPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayer::configure()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEQuantizationLayer::configure()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ac741a3edd9fdd407099870bbb27925d7',1,'arm_compute::NEReduceMean::configure()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434',1,'arm_compute::NEReductionOperation::configure()'],['../classarm__compute_1_1_n_e_remap.xhtml#a7570555ae5933bef168425e55a1a11a9',1,'arm_compute::NERemap::configure()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayer::configure()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayer::configure()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a23ed39a3f37b8b100cec84427d55f9cf',1,'arm_compute::NERNNLayer::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#adeb567b082b0ce7612d13bc1068db5d8',1,'arm_compute::NEROIPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_scale.xhtml#aca08ed3f0e23d0eb32f60dc8a468bb4b',1,'arm_compute::NEScale::configure()'],['../classarm__compute_1_1_n_e_scharr3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEScharr3x3::configure()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a5cd27b57fe542fb50f512bb55b7a2cdc',1,'arm_compute::NESimpleAssemblyFunction::configure()'],['../classarm__compute_1_1_n_e_sobel3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel3x3::configure()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel5x5::configure()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel7x7::configure()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#aa4aee9a6c9abb0cfbcbf1727de23070c',1,'arm_compute::NESoftmaxLayer::configure()'],['../classarm__compute_1_1_n_e_table_lookup.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookup::configure()'],['../classarm__compute_1_1_n_e_threshold.xhtml#ad5e6dc9965405ea5d7d1cda26a14644c',1,'arm_compute::NEThreshold::configure()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETranspose::configure()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#af08de360b50a6fe2243fc1158433897f',1,'arm_compute::NEUpsampleLayer::configure()'],['../classarm__compute_1_1_n_e_warp_affine.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpAffine::configure()'],['../classarm__compute_1_1_n_e_warp_perspective.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpPerspective::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#aca6848c68c65ecb22b22395c41ea1701',1,'arm_compute::NEWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a49b542b1a17cd73034736acfa562a8ec',1,'arm_compute::NEWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayer::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::CLSynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::CLSynthetizeFunctionWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::NESynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::NESynthetizeFunctionWithZeroConstantBorder::configure()']]],
+  ['configure',['configure',['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a1a4031af60bf9aff1b58a3acf3c95fae',1,'arm_compute::ICLSimpleKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_kernel.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulateKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted_kernel.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared_kernel.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a594b089aecb32029f92043028d98cb9a',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAndKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_not_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNotKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOrKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXorKernel::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransformKernel::configure()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLBox3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#ad67340e556964fbc6aee83f7b2ff8101',1,'arm_compute::CLGradientKernel::configure()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a209e05c2e2bf4d5fb2b9e3f75c7d79aa',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#af4b40677259a11edd3e83e82c1c6dd9d',1,'arm_compute::CLEdgeTraceKernel::configure()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombineKernel::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombineKernel::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtractKernel::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtractKernel::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a109e7bd51a51a6aecaa2402a06deb3a7',1,'arm_compute::CLCol2ImKernel::configure()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvertKernel::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvertKernel::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a9eb86fbe4825b43b638171bb6dd398c3',1,'arm_compute::CLComparisonKernel::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb',1,'arm_compute::CLConvolutionKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f',1,'arm_compute::CLSeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436',1,'arm_compute::CLSeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#abcf9df2e9d1da8abf27ca1678951673f',1,'arm_compute::CLConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a9b9e5f5eda4acf7ca7c94e281dff7a34',1,'arm_compute::CLCopyKernel::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a6f53fcc87865ecf2868305b85ec7460b',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a96671071c32559313f5827c5487f9f72',1,'arm_compute::CLDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#ab4ce8dea224953952665e2b0d3e0ece7',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a49b7bf6e6b7fc07e9fcbca39c7f77715',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#ac8fd96dc84b439ae650ee005b8fa6455',1,'arm_compute::CLDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a0958dbd0887df9802a2433316e8fc6b7',1,'arm_compute::CLDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLDerivativeKernel::configure()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLDilateKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a5fcbc12271b2180b57b5a74d421d0448',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad09d2ed1f19a1df9b87da20af7efaff9',1,'arm_compute::CLSaturatedArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a498e5769090f1436cc0191dfa5580c2e',1,'arm_compute::CLArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#aaa37b1a72550a67d868895310b5aba7b',1,'arm_compute::CLElementWiseUnaryLayerKernel::configure()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLErodeKernel::configure()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a84deccfff9f686445194594e058284bf',1,'arm_compute::CLFastCornersKernel::configure()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a1d8f06853b678915058ff9e8259948b3',1,'arm_compute::CLCopyToArrayKernel::configure()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06',1,'arm_compute::CLFillBorderKernel::configure()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayerKernel::configure()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloorKernel::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a290dbeba031997a9d489f235e921bee7',1,'arm_compute::CLGatherKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#afd2d183e25b5152a0cfbd899018ec3cf',1,'arm_compute::CLGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a4ed20a874d049cc5042bfbe7f81733a3',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#aa7967bee001197b8642e30d4efaa96cc',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a094cc43211df267051139e766f002d77',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a33fe5175eae0e28983aad913a69fb136',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#afac9564563d8a9c3219cf20e81d29314',1,'arm_compute::ICLGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a613f25e524dbabbff55ea9d7df53c7f6',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#aa526095c6ddce38f2ef22d45e18e2fe2',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#acd42d73bdf14e61d6414450f134e9651',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a00ca198bac061a1fdfbb4246e7048e63',1,'arm_compute::CLGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a0942a675b9d4670f019d2c538eb46f2d',1,'arm_compute::CLGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a4724e2ca299180476c2fd66bb92d3ba5',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#aa65a9cf45dc5c7c2c96fd57ecc8d2ec8',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aa0b0eaffc9a83e1a6495d957b63bbccc',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a9718c86f3b9141ca3f05ede073e17d12',1,'arm_compute::CLGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchorsKernel::configure()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#aab77e3e19e73caf469b27792d710a3be',1,'arm_compute::CLHarrisScoreKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramBorderKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#aee747cfad262c60d10befc32e5315e4e',1,'arm_compute::CLHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae2df93f92808deb66ddc274ee9b27307',1,'arm_compute::CLHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ad2a21fbefb021552240795ae5b7e8095',1,'arm_compute::CLHOGDetectorKernel::configure()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a6bc1be5100f77f4a136d8935b06d5ac6',1,'arm_compute::CLIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImageHorKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a2ee43bea6ad1257f88be93bdd4fff2cf',1,'arm_compute::CLIntegralImageVertKernel::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ad7ee2c6ba4a132418b0c5d76809c1b8d',1,'arm_compute::CLL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#adc3ba3031b85b80ceacde189d1ebe2aa',1,'arm_compute::CLLKTrackerInitKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5',1,'arm_compute::CLLKTrackerFinalizeKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#af50d75c9037fab52ec75dd9be62103a3',1,'arm_compute::CLLKTrackerStage0Kernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#ad4e047471bcabdeae5c07e1ed627ce64',1,'arm_compute::CLLKTrackerStage1Kernel::configure()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a97c0a4edbeca3c32dda036b81446a4d9',1,'arm_compute::CLMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082',1,'arm_compute::CLMeanStdDevKernel::configure()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLMedian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#aebb9f67d374f696f9b064422b055072f',1,'arm_compute::CLMemsetKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#abc0a058391c8944b83257ec47b0211b9',1,'arm_compute::CLMinMaxKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#aaac9d68119e223b67847deb43021630f',1,'arm_compute::CLMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a09ed8b2a062c440ad00a290624c39319',1,'arm_compute::CLNonLinearFilterKernel::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a63cacfe183fc86f74c1f3788b14f88da',1,'arm_compute::CLNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermuteKernel::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a3e0a2f39d9dc0f7083aef3b37335afff',1,'arm_compute::CLPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a13226200322fb9ca881174695946705c',1,'arm_compute::CLPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a011d273b10af543a37a8d27a8267e1f2',1,'arm_compute::CLPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a33657445d6cf5905c0b74e566f769069',1,'arm_compute::CLQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a7efd0212f49bff0c4b5e1319ff63c14d',1,'arm_compute::CLRangeKernel::configure()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#aa895004d9c98611ee8b77a512bd85b82',1,'arm_compute::CLReductionOperationKernel::configure()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#ad55d92eda4737d79e57dfdf99e447fb3',1,'arm_compute::CLRemapKernel::configure()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#afde206f970de174fc68395757ff451a9',1,'arm_compute::CLReorgLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#afab29173f38632af6e8dbb9b34c03e9c',1,'arm_compute::CLReverseKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aa6d582c489816426715ac5cdcf079334',1,'arm_compute::CLScaleKernel::configure()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLScharr3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#afb3c068b9a3cd4c394055bd28a3df6f8',1,'arm_compute::CLSelectKernel::configure()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel7x7HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel7x7VertKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a',1,'arm_compute::CLLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794',1,'arm_compute::CLLogits1DNormKernel::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a353c02b0b3175ec9b7fa6c40423e7223',1,'arm_compute::CLStackLayerKernel::configure()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a204b850eee892b4b6e0cccc160327b34',1,'arm_compute::CLStridedSliceKernel::configure()'],['../classarm__compute_1_1_c_l_table_lookup_kernel.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookupKernel::configure()'],['../classarm__compute_1_1_c_l_threshold_kernel.xhtml#af95973be8cc372e60a6872e18176d1de',1,'arm_compute::CLThresholdKernel::configure()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a6a8a67b9d11870b083b5c7e233d10764',1,'arm_compute::CLTileKernel::configure()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTransposeKernel::configure()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a96684c902f976541178bf6fee2342c2b',1,'arm_compute::CLUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpAffineKernel::configure()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpPerspectiveKernel::configure()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a32630202628891fb30458ef84581ad2a',1,'arm_compute::CLWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLWidthConcatenate2TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#ab830c43458598cdfd7d2f8751e2009b0',1,'arm_compute::CLWidthConcatenate4TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a055116cefc341baaeba1dd9fb25e0432',1,'arm_compute::CLWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradFilterTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradInputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a9cbb2ce5deb94bb5e67aaf7bb2c71e73',1,'arm_compute::CLWinogradOutputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayerKernel::configure()'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ab60ae5748eb0078dc0c69f57f5ead044',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::configure()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a4a5bcfcb1a9a25daecc442af866f0632',1,'arm_compute::CPPCornerCandidatesKernel::configure()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ad56ff9909955d92abeabbe43c1a21bd9',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::configure()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::CPPFlipWeightsKernel::configure()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermuteKernel::configure()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a5bcc803e3a8b159ba7f09acb25dba452',1,'arm_compute::CPPSortEuclideanDistanceKernel::configure()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ac886f64c915621a8a213f760bc0d9134',1,'arm_compute::CPPTopKVKernel::configure()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsampleKernel::configure()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a86c574f15dfe0d3176db14c5b61e93c8',1,'arm_compute::IGCSimpleKernel::configure()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a532d29716a4ea6315294f4d892ce34ce',1,'arm_compute::GCBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a1aebc8a9a10fb43c9a39d241d0c11338',1,'arm_compute::GCCol2ImKernel::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#aa304f590ac74910d1b8fd316c3011f10',1,'arm_compute::GCDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a7f6e3974ca16d20064fe794c5334c410',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab904c60f24f8f8f44e24d71f337c86a9',1,'arm_compute::GCDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayerKernel::configure()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a148acc5bac0dddc8d512b4d91bd2a7ba',1,'arm_compute::GCFillBorderKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#ad9780f8be8833600c97e756bf6d5082b',1,'arm_compute::GCGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ada3b192e7f6ec5a8950b57fae93e9166',1,'arm_compute::GCGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a2461b3d633deab1e051da8170c959b2a',1,'arm_compute::GCIm2ColKernel::configure()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a0fe8c14c103310596d49a4418852a1d8',1,'arm_compute::GCNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad55c5127caaf1bfa070bf696912c2605',1,'arm_compute::GCPoolingLayerKernel::configure()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#afeaa46f1b40b37692d80cb38c426e4d6',1,'arm_compute::GCScaleKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_max_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a9b315185b36dd900eb209d005d630310',1,'arm_compute::GCLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#adeaa28cbd0f25f372fca145853a763ad',1,'arm_compute::GCLogits1DNormKernel::configure()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShiftKernel::configure()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTransposeKernel::configure()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a2ea575697d78a178f34e75ae9b410069',1,'arm_compute::GCWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#aed51cd474d496c265ab8e929f39dc01b',1,'arm_compute::NEAccumulateKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ad3a581db799a5767c08d8f35a4a6a39a',1,'arm_compute::NEAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ae228f773f5a010373010a0851ab18663',1,'arm_compute::NEAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAndKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNotKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOrKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXorKernel::configure()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEBox3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a0c6175a719b3ef4c20d8e2fc45d6990d',1,'arm_compute::NEGradientKernel::configure()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a57a36344e261edfdfa97b19ac40b7c30',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NEEdgeTraceKernel::configure()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombineKernel::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombineKernel::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtractKernel::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtractKernel::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2ImKernel::configure()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvertKernel::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvertKernel::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222',1,'arm_compute::NEConvolutionKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625',1,'arm_compute::NESeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22',1,'arm_compute::NESeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9',1,'arm_compute::NEConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NECopyKernel::configure()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a46fb538865fc693f55ec7ab7a5e5f833',1,'arm_compute::NECumulativeDistributionKernel::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aae09154c5d796f6db2488902c18a9085',1,'arm_compute::NEDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abdb04567f7268ac53524f539ac95e6ab',1,'arm_compute::NEDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a29d3078f38e36beb0ceb70defdc2fae4',1,'arm_compute::NEDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a95a64af5eae0984b395d5fbebff9601c',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEDerivativeKernel::configure()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEDilateKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a537ba0d35bcc8d5488da55d1a27c89a3',1,'arm_compute::NEDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a470bdfe5ac891c030b8d196574ba17ef',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#ada5fe786261e1a1a8e84d1cd6ec557a5',1,'arm_compute::NEArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEDivisionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#a800127190e2c741812159a46f38600ef',1,'arm_compute::NEComparisonOperationKernel::configure()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a226d0e7ab004779cc365cff252d7ee37',1,'arm_compute::NEElementwiseUnaryKernel::configure()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEErodeKernel::configure()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a39d3a9d0c6485af41190686e323b77cc',1,'arm_compute::NEFastCornersKernel::configure()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#afa45181af3fb6daaa8aa5627c1ae6c43',1,'arm_compute::NEFillArrayKernel::configure()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a12f5fc5a4fc18544922aebb0fcbf4eb6',1,'arm_compute::NEFillBorderKernel::configure()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a20f5ced683d0dee51545a9df41f0080a',1,'arm_compute::NEFillInnerBorderKernel::configure()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayerKernel::configure()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloorKernel::configure()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a8e03d687365df886b982e25db689df71',1,'arm_compute::NEFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#ac54444a80c4fc9141ca52479ea7650a2',1,'arm_compute::NEGatherKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a5c38898607a293553b7eb9400bcf47c4',1,'arm_compute::NEGEMMAssemblyBaseKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ac2d2c3aba01ee0bb08be57a5997f1cab',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a21be396e5269651901fc70aad74cfafb',1,'arm_compute::INEGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a337aaba1994da7f890b56198dced037d',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a673dafe3735e42124b5104dfe64745ff',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aed1adf983092c2f8af29eba1dc29920c',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#abd3df2f9251266926538e4c020652996',1,'arm_compute::NEGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a4ee07709711414457834cc5d1c2c6cdb',1,'arm_compute::NEGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a78f06197fd4f4fb471c21257252031ec',1,'arm_compute::INEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ae3278fce9a66ca7603efcb367e6b3816',1,'arm_compute::NEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aa6f4a855483e2d24a509181faa893b75',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output, uint32_t *local_hist, uint32_t *window_lut)'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output)'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a1ca4abc9d169a56f8469b31bba439f05',1,'arm_compute::NEHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#abe08b9f8d4a3bd083ebae3d1cb65a2b5',1,'arm_compute::NEHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab30727bb790077928853eb3c617bb632',1,'arm_compute::NEHOGDetectorKernel::configure()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImageKernel::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a7b9a0d39ba4aa3e6feba587a149d69e5',1,'arm_compute::NEL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a9db04388927168bc8d9423087dfa8a6d',1,'arm_compute::NELKTrackerKernel::configure()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a885b754efced9144226ada4c202574b6',1,'arm_compute::NEMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a22fb6b7d1bd5ce8a90c61780c94cebbb',1,'arm_compute::NEMeanStdDevKernel::configure()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEMedian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ad2475dd7f19a14f9bf0a602ec33f3631',1,'arm_compute::NEMemsetKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#aa977f349fb2c7d5ae7cd41fee339668a',1,'arm_compute::NEMinMaxKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab85de2b20def413700f940020fe8d7e3',1,'arm_compute::NENonLinearFilterKernel::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NENonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7b1cd624e23b7144b6962c19f426a166',1,'arm_compute::NENormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermuteKernel::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab214c0eb5acd40bde3f8a3fb6c0a6613',1,'arm_compute::NEPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#acfc7162ac184ca219f917d039c58233c',1,'arm_compute::NEPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a5813dd1e3e37f5741b60d557d2693988',1,'arm_compute::NERangeKernel::configure()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a84481fca3a7ab8e4b5035ba8b8170de3',1,'arm_compute::NEReductionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a24cf804e6bcb60737bf447693c87d616',1,'arm_compute::NERemapKernel::configure()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#abaed98d5f33f212b61484a7ef0c53874',1,'arm_compute::NEReverseKernel::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b',1,'arm_compute::NEROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa13b6f52790e5ec90e37a9834611c1c8',1,'arm_compute::NEScaleKernel::configure()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEScharr3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a1d6424a6b10d91683475029a748ea4a3',1,'arm_compute::NESelectKernel::configure()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a1aea9496b59f665829dfebcac7c6e8f3',1,'arm_compute::NESobel5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel7x7HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ad97cc0c4d977253aa096953ff5aefcae',1,'arm_compute::NESobel7x7VertKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NELogits1DMaxKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ad7a5f63cd7550fd2712d6c0e1e677419',1,'arm_compute::NELogits1DSoftmaxKernel::configure()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a2d28b1667b7be3e16a3ff67596f6d62b',1,'arm_compute::NEStackLayerKernel::configure()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ac6f8337063f797e032a0dd6977b12d0c',1,'arm_compute::NEStridedSliceKernel::configure()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookupKernel::configure()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d39d8cd067212d4e6d93d5619acb59e',1,'arm_compute::NEThresholdKernel::configure()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#ad226085cfab135a5367504930fdd189b',1,'arm_compute::NETileKernel::configure()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETransposeKernel::configure()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ac96f4300f1def899a8e029d7ea9dc050',1,'arm_compute::NEUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a1aad3191e6d0d90fa0114a355ac52991',1,'arm_compute::INEWarpKernel::configure()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a82ef5733f0c6bf93473ec5f12c067338',1,'arm_compute::NEWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a3b79db59a7b23f2d26d21c618343f40c',1,'arm_compute::NEWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a75659fbb7d7929b4494bee1969fd4b9e',1,'arm_compute::INEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a326ad83c687d67a9e7cd36d1d03f7d9b',1,'arm_compute::NEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a4e3a05a0aa351da358238d945fbc4de7',1,'arm_compute::INEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a2b01c230c011d65c44f8e4cb316be002',1,'arm_compute::NEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayerKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifference::configure()'],['../classarm__compute_1_1_c_l_accumulate.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulate::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeighted::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquared::configure()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayer::configure()'],['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#a331ee82f6186da06d42766e3c8ad7a7a',1,'arm_compute::CLArgMinMaxLayer::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a8f62be2862965a1c3c81b683ad679170',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, int32_t block_shape_x, int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAnd::configure()'],['../classarm__compute_1_1_c_l_bitwise_not.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNot::configure()'],['../classarm__compute_1_1_c_l_bitwise_or.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOr::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXor::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransform::configure()'],['../classarm__compute_1_1_c_l_box3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLBox3x3::configure()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#aa874f9e002bdb799f38411a5fef07b1d',1,'arm_compute::CLCannyEdge::configure()'],['../classarm__compute_1_1_c_l_cast.xhtml#a055972f8fd1839d8f629808ad7ac8690',1,'arm_compute::CLCast::configure()'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombine::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombine::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtract::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtract::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayer::configure()'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvert::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvert::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_comparison.xhtml#a1b96928290ab87d627ad33755e6e262c',1,'arm_compute::CLComparison::configure()'],['../classarm__compute_1_1_c_l_comparison_static.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLComparisonStatic::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchors::configure()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#a460a0e2af35df8734a90d21a0ed42132',1,'arm_compute::CLConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolution3x3::configure()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolutionSquare::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2',1,'arm_compute::CLConvolutionRectangle::configure()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ae0c61dabbcfeda5c7f01a7ae66e58b2c',1,'arm_compute::CLConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_copy.xhtml#ad1a757fab7094ad4f38bdd11d369f6ae',1,'arm_compute::CLCopy::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a68de418b8175bca40450f63405172bd1',1,'arm_compute::CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ada7beb051c3fd2d8422a786f2cecac5c',1,'arm_compute::CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &amp;info, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#afefc21cb9bbf278c5110778f28960b10',1,'arm_compute::CLDeconvolutionLayerUpsample::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a6c12a28f5554ed633343956f3127c50d',1,'arm_compute::CLDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ae536ece130ddb5e22e7f11e6b67f1673',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#af82e4a3d1702751e2d6aca04702adf26',1,'arm_compute::CLDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#af7ca3f45f6dbfc7737c75fbf91fcc4c5',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayer::configure()'],['../classarm__compute_1_1_c_l_derivative.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLDerivative::configure()'],['../classarm__compute_1_1_c_l_dilate.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLDilate::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c',1,'arm_compute::CLDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticAddition::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticSubtraction::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLArithmeticDivision::configure()'],['../classarm__compute_1_1_c_l_elementwise_max.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseMax::configure()'],['../classarm__compute_1_1_c_l_elementwise_min.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseMin::configure()'],['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseSquaredDiff::configure()'],['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLRsqrtLayer::configure()'],['../classarm__compute_1_1_c_l_exp_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLExpLayer::configure()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#a78c50e58e4c8be6de11ac6e78ca02eff',1,'arm_compute::CLEqualizeHistogram::configure()'],['../classarm__compute_1_1_c_l_erode.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLErode::configure()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ac519f19806984be1fddf6c04ea508626',1,'arm_compute::CLFastCorners::configure()'],['../classarm__compute_1_1_c_l_fill_border.xhtml#acd47b636ec90ab214e6f194989ea7af5',1,'arm_compute::CLFillBorder::configure()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayer::configure()'],['../classarm__compute_1_1_c_l_floor.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloor::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ab205e8e07c4eff3197d0c8cc85a4488d',1,'arm_compute::CLFullyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalization::configure()'],['../classarm__compute_1_1_c_l_gather.xhtml#a290dbeba031997a9d489f235e921bee7',1,'arm_compute::CLGather::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian3x3::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian5x5::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#ae518f24b88a33e296030407e1a42d5fb',1,'arm_compute::CLGaussianPyramid::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5',1,'arm_compute::CLGEMM::configure()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ace0b4143d0ca4435da8123ac9073e59c',1,'arm_compute::CLConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ac485da01d91da9e1c97a7da2b9b91ad5',1,'arm_compute::CLGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a01a8a849ea1f7fb96263093b7d6978a9',1,'arm_compute::CLGenerateProposalsLayer::configure()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#a1c35ef0fadb16911061a0a54be3c17af',1,'arm_compute::CLHarrisCorners::configure()'],['../classarm__compute_1_1_c_l_histogram.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogram::configure()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#aa13cb80b9e2387f342aa75b205529a10',1,'arm_compute::CLHOGDescriptor::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#af3f7d04fe1de62ddbed7bf165c9d7ec8',1,'arm_compute::CLHOGDetector::configure()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#a229bdf53bc1dad3b2408d48db8bcaa96',1,'arm_compute::CLHOGGradient::configure()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ab5d20af02c277cdfdb18dc5ead27ffb7',1,'arm_compute::CLHOGMultiDetection::configure()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImage::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a38db42f03d3dad52b9ddc3fab7cbfa1e',1,'arm_compute::CLL2NormalizeLayer::configure()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#affa012258b464b065d72cc26657119d4',1,'arm_compute::CLLaplacianPyramid::configure()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#a129d848ae0d03b4d4dcbc5e3763623cf',1,'arm_compute::CLLaplacianReconstruct::configure()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLLocallyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa0f7635e5dffc50c235e8879637f7462',1,'arm_compute::CLLSTMLayer::configure()'],['../classarm__compute_1_1_c_l_magnitude.xhtml#a1741c99b2bc2b77bb719d185d52968e2',1,'arm_compute::CLMagnitude::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c',1,'arm_compute::CLMeanStdDev::configure()'],['../classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLMedian3x3::configure()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a8ddb1ad6ae46202fbdc5fb1034b1abd3',1,'arm_compute::CLMinMaxLocation::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter.xhtml#a53cae19fbb200bd9479868919e9045ee',1,'arm_compute::CLNonLinearFilter::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3.xhtml#a1a3dfd8c194044e7aafeafe5ca8dce59',1,'arm_compute::CLNonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ab1b1b768d23eaf10f5f810436c4c856e',1,'arm_compute::CLNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601',1,'arm_compute::CLOpticalFlow::configure()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a941ae5a1e5ba542d8e39ce490968d7e0',1,'arm_compute::CLPadLayer::configure()'],['../classarm__compute_1_1_c_l_permute.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermute::configure()'],['../classarm__compute_1_1_c_l_phase.xhtml#ac64385feb4cfd5ea1f7e2dc4414392aa',1,'arm_compute::CLPhase::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#ab49eaee7b0a9443f7cbd3a73fd0bf2b2',1,'arm_compute::CLPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#a18f66b53b41f27ca9942695488d8c7aa',1,'arm_compute::CLPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a2620e3db79dcdb5c7596de1c9bb5d8dd',1,'arm_compute::CLPriorBoxLayer::configure()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLQuantizationLayer::configure()'],['../classarm__compute_1_1_c_l_range.xhtml#aabe5fc48738f43b4b19fa05f460c1044',1,'arm_compute::CLRange::configure()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ac43ed2b0714a5af0ce1916c03e60cb40',1,'arm_compute::CLReduceMean::configure()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a01cf6dddf3f8768da106527d2f1ee7c5',1,'arm_compute::CLReductionOperation::configure()'],['../classarm__compute_1_1_c_l_remap.xhtml#ac1eb01546c2f93af14ee04f4a0f8c30a',1,'arm_compute::CLRemap::configure()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#a11c13a920a4b8c61aaf6a92bd2ece880',1,'arm_compute::CLReorgLayer::configure()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayer::configure()'],['../classarm__compute_1_1_c_l_reverse.xhtml#afab29173f38632af6e8dbb9b34c03e9c',1,'arm_compute::CLReverse::configure()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a',1,'arm_compute::CLRNNLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa5f9a9b25bd6f529c29939f6269d59f5',1,'arm_compute::CLScale::configure()'],['../classarm__compute_1_1_c_l_scharr3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLScharr3x3::configure()'],['../classarm__compute_1_1_c_l_select.xhtml#afb3c068b9a3cd4c394055bd28a3df6f8',1,'arm_compute::CLSelect::configure()'],['../classarm__compute_1_1_c_l_slice.xhtml#ae883a7cb96f6111b0e8bf3a64842c438',1,'arm_compute::CLSlice::configure()'],['../classarm__compute_1_1_c_l_sobel3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel3x3::configure()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel5x5::configure()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel7x7::configure()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ae3fdd368418ef45db831786e741ea1bb',1,'arm_compute::CLSoftmaxLayer::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a7680bd176a47f2414d6a3192d5e52dd6',1,'arm_compute::CLSplit::configure()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#ae3ded99bcaf22b5c6493174aaf7e9869',1,'arm_compute::CLStackLayer::configure()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a5d801cf9e04174c1898753ef8efb004f',1,'arm_compute::CLStridedSlice::configure()'],['../classarm__compute_1_1_c_l_table_lookup.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookup::configure()'],['../classarm__compute_1_1_c_l_threshold.xhtml#a62c37ae969be3b04e0bdceffb4a1dadb',1,'arm_compute::CLThreshold::configure()'],['../classarm__compute_1_1_c_l_tile.xhtml#a6a8a67b9d11870b083b5c7e233d10764',1,'arm_compute::CLTile::configure()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTranspose::configure()'],['../classarm__compute_1_1_c_l_unstack.xhtml#a605011e32722e6a9372537d998f9b1b0',1,'arm_compute::CLUnstack::configure()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#aff07d307883c8ef914c2fac1ec8bfbb8',1,'arm_compute::CLUpsampleLayer::configure()'],['../classarm__compute_1_1_c_l_warp_affine.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpAffine::configure()'],['../classarm__compute_1_1_c_l_warp_perspective.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpPerspective::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ae1e594a6c6605fb33245f84722039eab',1,'arm_compute::CLWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a795a5e806f4334092fc9f491fe794998',1,'arm_compute::CLWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a703fa268e40647a42ebded33750fe74e',1,'arm_compute::CLWinogradInputTransform::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayer::configure()'],['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248',1,'arm_compute::cl_gemm::CLGEMMReshapedConfigurationBifrost::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml#a3de8fc470058fc692494e9885d8f114c',1,'arm_compute::ICLGEMMReshapedConfiguration::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimit::configure()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ad8387a0ef4a1e0f7382c06146857e4be',1,'arm_compute::CPPNonMaximumSuppression::configure()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a4c87b215abac33e28e279fd7277e2126',1,'arm_compute::CPPDetectionOutputLayer::configure()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermute::configure()'],['../classarm__compute_1_1_c_p_p_top_k_v.xhtml#ac886f64c915621a8a213f760bc0d9134',1,'arm_compute::CPPTopKV::configure()'],['../classarm__compute_1_1_c_p_p_upsample.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsample::configure()'],['../classarm__compute_1_1_g_c_absolute_difference.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifference::configure()'],['../classarm__compute_1_1_g_c_activation_layer.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayer::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAddition::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ab66d55b5fca2d08c253e4e9a37f9c6bc',1,'arm_compute::GCBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#a35aacc414eddf01fa5ae44483c110a33',1,'arm_compute::GCConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a9d4bf10fbda1b7ca0b4c205512dc5a93',1,'arm_compute::GCConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a1ff6a6e16845bcbe607a5b766be13e14',1,'arm_compute::GCDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#aeb446e905def41593c0d479215fd32a3',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a17f216ad80126a2e84cd8c1210b9d1da',1,'arm_compute::GCDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayer::configure()'],['../classarm__compute_1_1_g_c_fill_border.xhtml#af8e3f0c5652d8264b400eac38324e3bc',1,'arm_compute::GCFillBorder::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0effb36388142226203c802f31614634',1,'arm_compute::GCFullyConnectedLayer::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a8184f9bf2e8f4fdc16cfe7812e229d95',1,'arm_compute::GCGEMM::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#a8d636dd5daa60351d1c2b941a9260ed6',1,'arm_compute::GCNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ab012a57f810664a63407e5ffa21bbf5c',1,'arm_compute::GCPoolingLayer::configure()'],['../classarm__compute_1_1_g_c_scale.xhtml#a8a339354a1e4d09de5a3022e4f20d0d2',1,'arm_compute::GCScale::configure()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#a87e0f86361e9b6d237464d91ce76fbfa',1,'arm_compute::GCSoftmaxLayer::configure()'],['../classarm__compute_1_1_g_c_tensor_shift.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShift::configure()'],['../classarm__compute_1_1_g_c_transpose.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTranspose::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aec7a76f285895651e97c43e56b729900',1,'arm_compute::NEGEMMInterleavedWrapper::configure()'],['../classarm__compute_1_1_n_e_absolute_difference.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifference::configure()'],['../classarm__compute_1_1_n_e_accumulate.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEAccumulate::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted.xhtml#a801bafb0db80b93605302dac80a59844',1,'arm_compute::NEAccumulateWeighted::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08',1,'arm_compute::NEAccumulateSquared::configure()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayer::configure()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#aa49786cfd9dfeccd7c99c4e373320e05',1,'arm_compute::NEArgMinMaxLayer::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticAddition::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticSubtraction::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_bitwise_and.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAnd::configure()'],['../classarm__compute_1_1_n_e_bitwise_not.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNot::configure()'],['../classarm__compute_1_1_n_e_bitwise_or.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOr::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXor::configure()'],['../classarm__compute_1_1_n_e_box3x3.xhtml#a61457d73c8ae60ad9f4cc00089e282c7',1,'arm_compute::NEBox3x3::configure()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a0626bbb35eb3e06a00802bbfeecf4f47',1,'arm_compute::NECannyEdge::configure()'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombine::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombine::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtract::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtract::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayer::configure()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2Im::configure()'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvert::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvert::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#a2e7b79e3cbe960a81e64eb4fa47c356e',1,'arm_compute::NEConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolution3x3::configure()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolutionSquare::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle.xhtml#ac230ba3519565b12566edfdd99859ed0',1,'arm_compute::NEConvolutionRectangle::configure()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a267ccefe12296abe0f816cc9456a519a',1,'arm_compute::NEConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_copy.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NECopy::configure()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af7844db7c841f3f117547b7bd6ccfc55',1,'arm_compute::NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top)'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ae7c4c1b127b941d0febd36961384f772',1,'arm_compute::NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &amp;info)'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#af0e1f0ef4775a514725b832447cd1962',1,'arm_compute::NEDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#a1d1923da1e9f49c28bf0b38c27b7eb8c',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayer::configure()'],['../classarm__compute_1_1_n_e_derivative.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEDerivative::configure()'],['../classarm__compute_1_1_n_e_dilate.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEDilate::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#af63dd2106fa1a4083e57d8816b4b2048',1,'arm_compute::NEDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_elementwise_max.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseMax::configure()'],['../classarm__compute_1_1_n_e_elementwise_min.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseMin::configure()'],['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseSquaredDiff::configure()'],['../classarm__compute_1_1_n_e_elementwise_division.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseDivision::configure()'],['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml#ace1b1f04b180068d7c3f183038a66134',1,'arm_compute::NEElementwiseComparison::configure()'],['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseComparisonStatic::configure()'],['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NERsqrtLayer::configure()'],['../classarm__compute_1_1_n_e_exp_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEExpLayer::configure()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#acbd66cc67e7dedcc3d94a7ab0be5781c',1,'arm_compute::NEEqualizeHistogram::configure()'],['../classarm__compute_1_1_n_e_erode.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEErode::configure()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#a182eb968f1c107bf5ee575cb1b7f031c',1,'arm_compute::NEFastCorners::configure()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ab2db56d349cee3849dbfac825d916fd6',1,'arm_compute::NEFillBorder::configure()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayer::configure()'],['../classarm__compute_1_1_n_e_floor.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloor::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49',1,'arm_compute::NEFullyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a8e03d687365df886b982e25db689df71',1,'arm_compute::NEFuseBatchNormalization::configure()'],['../classarm__compute_1_1_n_e_gather.xhtml#ac54444a80c4fc9141ca52479ea7650a2',1,'arm_compute::NEGather::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian3x3::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian5x5::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a569064c220a3a2bf4b7af719b8d54cba',1,'arm_compute::NEGaussianPyramid::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a385241dcc5062af6ecac8bdafe01bb2a',1,'arm_compute::NEGEMM::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aeaf9e7d6e24ea7e4de46ed92a0c4aa3d',1,'arm_compute::NEGEMMAssemblyDispatch::configure()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a61ca4e4a2e1326e12855748838eab503',1,'arm_compute::NEConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a97f4fd717623515cacaa206a889933ce',1,'arm_compute::NEGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ab6b3c14dd280e6af9d37e4347a56417e',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ae939cbc6a8a6747f193bfe8b54a7881c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#aa74c5caac74b27db3319b4a5710f7a98',1,'arm_compute::NEHarrisCorners::configure()'],['../classarm__compute_1_1_n_e_histogram.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogram::configure()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#af3e91dd25d2bd7d3f3a0c74cdc77d7c4',1,'arm_compute::NEHOGDescriptor::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector.xhtml#aec1e0dba94a632dc99953a9015684115',1,'arm_compute::NEHOGDetector::configure()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ac6ae2d00f75c768927d9529998608aaa',1,'arm_compute::NEHOGGradient::configure()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a8fa7fa549af77189982f584036c14271',1,'arm_compute::NEHOGMultiDetection::configure()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2Col::configure()'],['../classarm__compute_1_1_n_e_integral_image.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImage::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a0d248571810a368dcd004e928bd77345',1,'arm_compute::NEL2NormalizeLayer::configure()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a57e777ebd638595cbcaff4c45dbaa351',1,'arm_compute::NELaplacianPyramid::configure()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae',1,'arm_compute::NELaplacianReconstruct::configure()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a38198731404a741d75225ae36baf100a',1,'arm_compute::NELocallyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa899feaf94d69eb04afb0cd412869548',1,'arm_compute::NELSTMLayer::configure()'],['../classarm__compute_1_1_n_e_magnitude.xhtml#a1aa524e83bd73b149831dc0bb6e39e7e',1,'arm_compute::NEMagnitude::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#a95812d053b0216b1d9c1f5131db6e880',1,'arm_compute::NEMeanStdDev::configure()'],['../classarm__compute_1_1_n_e_median3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEMedian3x3::configure()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocation::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter.xhtml#ae2e668c3765731c5f71a324e15f131b8',1,'arm_compute::NENonLinearFilter::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3.xhtml#a6c9ef0526118071156055c1e2c2ca0c4',1,'arm_compute::NENonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a89681b033dd94cd53456d7365a91f7cd',1,'arm_compute::NENormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c',1,'arm_compute::NEOpticalFlow::configure()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#a24a5fb11cb36e335b311e2c6f3f009e7',1,'arm_compute::NEPadLayer::configure()'],['../classarm__compute_1_1_n_e_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermute::configure()'],['../classarm__compute_1_1_n_e_phase.xhtml#adcb14816dc8d62ecdc185f4d3f1cd4d4',1,'arm_compute::NEPhase::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a080bc209f47babf3bc587f49b4286e53',1,'arm_compute::NEPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#a6fa6e4b65796fd0bf43da9b4d617d568',1,'arm_compute::NEPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayer::configure()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEQuantizationLayer::configure()'],['../classarm__compute_1_1_n_e_range.xhtml#a8a54125934cd02a77f2baef43e6e62bf',1,'arm_compute::NERange::configure()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ac741a3edd9fdd407099870bbb27925d7',1,'arm_compute::NEReduceMean::configure()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434',1,'arm_compute::NEReductionOperation::configure()'],['../classarm__compute_1_1_n_e_remap.xhtml#a7570555ae5933bef168425e55a1a11a9',1,'arm_compute::NERemap::configure()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayer::configure()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayer::configure()'],['../classarm__compute_1_1_n_e_reverse.xhtml#abaed98d5f33f212b61484a7ef0c53874',1,'arm_compute::NEReverse::configure()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a23ed39a3f37b8b100cec84427d55f9cf',1,'arm_compute::NERNNLayer::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b',1,'arm_compute::NEROIPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_scale.xhtml#aca08ed3f0e23d0eb32f60dc8a468bb4b',1,'arm_compute::NEScale::configure()'],['../classarm__compute_1_1_n_e_scharr3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEScharr3x3::configure()'],['../classarm__compute_1_1_n_e_select.xhtml#a1d6424a6b10d91683475029a748ea4a3',1,'arm_compute::NESelect::configure()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a5cd27b57fe542fb50f512bb55b7a2cdc',1,'arm_compute::NESimpleAssemblyFunction::configure()'],['../classarm__compute_1_1_n_e_slice.xhtml#a5c2f378cb28b6c33a699fcf3d24b7ab3',1,'arm_compute::NESlice::configure()'],['../classarm__compute_1_1_n_e_sobel3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel3x3::configure()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel5x5::configure()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel7x7::configure()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#aa4aee9a6c9abb0cfbcbf1727de23070c',1,'arm_compute::NESoftmaxLayer::configure()'],['../classarm__compute_1_1_n_e_split.xhtml#a5bd6b3bb4aff01d28a839733a5590121',1,'arm_compute::NESplit::configure()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#a85de06a39d55351708d5015bb75c7aa5',1,'arm_compute::NEStackLayer::configure()'],['../classarm__compute_1_1_n_e_strided_slice.xhtml#a801a64303e04b0d7800b726735caa0f8',1,'arm_compute::NEStridedSlice::configure()'],['../classarm__compute_1_1_n_e_table_lookup.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookup::configure()'],['../classarm__compute_1_1_n_e_threshold.xhtml#ad5e6dc9965405ea5d7d1cda26a14644c',1,'arm_compute::NEThreshold::configure()'],['../classarm__compute_1_1_n_e_tile.xhtml#ad226085cfab135a5367504930fdd189b',1,'arm_compute::NETile::configure()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETranspose::configure()'],['../classarm__compute_1_1_n_e_unstack.xhtml#a641a5040bc4edb196b8c4e60013f582b',1,'arm_compute::NEUnstack::configure()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#af08de360b50a6fe2243fc1158433897f',1,'arm_compute::NEUpsampleLayer::configure()'],['../classarm__compute_1_1_n_e_warp_affine.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpAffine::configure()'],['../classarm__compute_1_1_n_e_warp_perspective.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpPerspective::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#a76335aeca633fd0ec9e787315e0d4487',1,'arm_compute::NEWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a49b542b1a17cd73034736acfa562a8ec',1,'arm_compute::NEWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayer::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::CLSynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::CLSynthetizeFunctionWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml#a9e209999d5fe228d1483ef56b704d427',1,'arm_compute::test::CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::NESynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::NESynthetizeFunctionWithZeroConstantBorder::configure()']]],
   ['configure_5fall_5fnodes',['configure_all_nodes',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a82d07d3d612bee8ff703226ff9d5d452',1,'arm_compute::graph::detail']]],
   ['configure_5fall_5ftensors',['configure_all_tensors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a68c7ebb89adc0c2b21449cd15f6e8eba',1,'arm_compute::graph::detail']]],
   ['configure_5fnode',['configure_node',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::CLDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::GCDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::NEDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#af989fb4cdd6783b776e6b3feceb9fdcb',1,'arm_compute::graph::backends::IDeviceBackend::configure_node()']]],
-  ['configure_5foutput',['configure_output',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9',1,'arm_compute::graph::INode::configure_output()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ActivationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BatchNormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BoundingBoxTransformLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ChannelShuffleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConcatenateLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConstNode::configure_output()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DeconvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DummyNode::configure_output()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::EltwiseLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FlattenLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FullyConnectedLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::GenerateProposalsLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::InputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::OutputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PadLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PermuteLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PoolingLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PriorBoxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReorgLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReshapeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ResizeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ROIAlignLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SliceLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SoftmaxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SplitLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::UpsampleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::YOLOLayerNode::configure_output()']]],
+  ['configure_5foutput',['configure_output',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9',1,'arm_compute::graph::INode::configure_output()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ActivationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BatchNormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BoundingBoxTransformLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ChannelShuffleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConcatenateLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConstNode::configure_output()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DeconvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DetectionOutputLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DummyNode::configure_output()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::EltwiseLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FlattenLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FullyConnectedLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::GenerateProposalsLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::InputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::OutputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PadLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PermuteLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PoolingLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PriorBoxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReorgLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReshapeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ResizeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ROIAlignLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SliceLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SoftmaxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SplitLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::UpsampleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::YOLOLayerNode::configure_output()']]],
   ['configure_5ftensor',['configure_tensor',['../namespacearm__compute_1_1graph.xhtml#a36fd3cfa2e1d33e59e1d3e95664d8b9c',1,'arm_compute::graph']]],
   ['configure_5ftransition_5fmanager',['configure_transition_manager',['../namespacearm__compute_1_1graph_1_1detail.xhtml#aa94e771d284b85d820f94b797eecee98',1,'arm_compute::graph::detail']]],
   ['const',['Const',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a79ceee9f8e3c1f0cc74223e05d2448bf',1,'arm_compute::graph']]],
@@ -1358,6 +1533,7 @@
   ['constnode',['ConstNode',['../classarm__compute_1_1graph_1_1_const_node.xhtml',1,'ConstNode'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a764430de6c64e778b59b0648109c318b',1,'arm_compute::graph::ConstNode::ConstNode()']]],
   ['constnode_2ecpp',['ConstNode.cpp',['../_const_node_8cpp.xhtml',1,'']]],
   ['constnode_2eh',['ConstNode.h',['../_const_node_8h.xhtml',1,'']]],
+  ['construct_5fslice_5fend_5fmask',['construct_slice_end_mask',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191',1,'arm_compute::helpers::tensor_transform']]],
   ['consume_5fcommon_5fgraph_5fparameters',['consume_common_graph_parameters',['../namespacearm__compute_1_1utils.xhtml#a04125f2e4cecaffad8724cee7e1c19b0',1,'arm_compute::utils']]],
   ['consumer',['consumer',['../classarm__compute_1_1graph_1_1_edge.xhtml#a592a2c76b00960964a3f6f2ef792a7f0',1,'arm_compute::graph::Edge']]],
   ['consumer_5fid',['consumer_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#ad00e584f78c622e5ee9ec9613f6d6633',1,'arm_compute::graph::Edge']]],
@@ -1366,12 +1542,13 @@
   ['containerdataset_2eh',['ContainerDataset.h',['../_container_dataset_8h.xhtml',1,'']]],
   ['contains',['contains',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#aaacd907a06b819a33edf3c2c927aad46',1,'arm_compute::graph::backends::BackendRegistry']]],
   ['context',['context',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a252f5440564c77d68459f2baa978f86a',1,'arm_compute::CLKernelLibrary::context()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a252f5440564c77d68459f2baa978f86a',1,'arm_compute::CLScheduler::context()']]],
-  ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b',1,'arm_compute::test::validation::conv()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53eb4ea4aa2d9cf0eb82098af40dc105',1,'arm_compute::test::validation::conv(filter_height *filter_width)']]],
+  ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#adab2e84e4e20f041fdcd075e2864b132',1,'arm_compute::test::validation::conv()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53eb4ea4aa2d9cf0eb82098af40dc105',1,'arm_compute::test::validation::conv(filter_height *filter_width)']]],
+  ['conv_5fbias_5finfo',['conv_bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c672a1c9b4e083cfd8112095bac8a79',1,'arm_compute::test::validation']]],
   ['conv_5finfo',['conv_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf',1,'arm_compute::test::validation']]],
   ['convert',['CONVERT',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be',1,'helpers.h']]],
-  ['convert_5fdepth_5fdown',['convert_depth_down',['../depth__convert_8cl.xhtml#aab970e69ff53ae814fae772df4ae9c2d',1,'depth_convert.cl']]],
-  ['convert_5fdepth_5fup',['convert_depth_up',['../depth__convert_8cl.xhtml#ae2f96efadb55c92fe506140c36b6b25d',1,'depth_convert.cl']]],
-  ['convert_5fdown',['CONVERT_DOWN',['../arithmetic__op__quantized_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;arithmetic_op_quantized.cl'],['../depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;depth_convert.cl']]],
+  ['convert_5fdepth_5fdown',['convert_depth_down',['../depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e',1,'depth_convert.cl']]],
+  ['convert_5fdepth_5fup',['convert_depth_up',['../depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3',1,'depth_convert.cl']]],
+  ['convert_5fdown',['CONVERT_DOWN',['../depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;depth_convert.cl'],['../elementwise__operation__quantized_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;elementwise_operation_quantized.cl']]],
   ['convert_5ffc_5fweights_2ecl',['convert_fc_weights.cl',['../convert__fc__weights_8cl.xhtml',1,'']]],
   ['convert_5ffrom_5fasymmetric',['convert_from_asymmetric',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7',1,'arm_compute::test::validation']]],
   ['convert_5ffully_5fconnected_5fweights',['convert_fully_connected_weights',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6e2c47772be91252ef78e8c7fe67ef12',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af26eb814a56ed238d734b476a08a36ec',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad72a6f02d381cf4fb42ef050f4de0793',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af731f5f25a5302adac2184118e6fc094',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)']]],
@@ -1380,7 +1557,8 @@
   ['convert_5fop_5fint',['CONVERT_OP_INT',['../pixelwise__mul__int_8cl.xhtml#a0a99388febbdc0cb5b9e664faf79233c',1,'pixelwise_mul_int.cl']]],
   ['convert_5fop_5fint_5fstr',['CONVERT_OP_INT_STR',['../pixelwise__mul__int_8cl.xhtml#ab958e43cb87518ce5dd73c7233bbf003',1,'pixelwise_mul_int.cl']]],
   ['convert_5fpolicy',['convert_policy',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#aa7b3781f10fc0ac73a9a4f748e22d3d4',1,'arm_compute::graph::EltwiseLayerNode::convert_policy()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58',1,'arm_compute::test::validation::convert_policy()']]],
-  ['convert_5frte',['CONVERT_RTE',['../arithmetic__op__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'arithmetic_op_quantized.cl']]],
+  ['convert_5frange_5fpair',['convert_range_pair',['../namespacearm__compute_1_1test_1_1detail.xhtml#a8f88ff91d07f88724302b134e4cd7eac',1,'arm_compute::test::detail']]],
+  ['convert_5frte',['CONVERT_RTE',['../elementwise__operation__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'elementwise_operation_quantized.cl']]],
   ['convert_5fsat',['CONVERT_SAT',['../direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2',1,'CONVERT_SAT():&#160;direct_convolution1x1.cl'],['../direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2',1,'CONVERT_SAT():&#160;direct_convolution3x3.cl'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23fb01b6f3453cc0e48a026fd44f6acd',1,'CONVERT_SAT():&#160;helpers.h']]],
   ['convert_5fsat_5fround',['CONVERT_SAT_ROUND',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a28b2b123792a5b11a32cb05a6d327437',1,'helpers.h']]],
   ['convert_5fsat_5fround_5fstr',['CONVERT_SAT_ROUND_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a341a0c28698c3f6bd171df1771c5a512',1,'helpers.h']]],
@@ -1473,6 +1651,8 @@
   ['copy_5fto_5fkeypoint',['copy_to_keypoint',['../fast__corners_8cl.xhtml#ad1e2ee5ba250337a4e1889423e11aa81',1,'fast_corners.cl']]],
   ['copysign',['copysign',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a28096f8372c0ad762864c790917375e2',1,'arm_compute::support::cpp11']]],
   ['core_5fmask',['core_mask',['../_mali_counter_8cpp.xhtml#a250eb089b2094c09544ea64b3910bd33',1,'MaliCounter.cpp']]],
+  ['corner',['CORNER',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830ac411afd31d32cec664d372acc12f404a',1,'arm_compute']]],
+  ['corner_5fsize',['CORNER_SIZE',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830afbc6c35854fe02eb9e792f897399c42a',1,'arm_compute']]],
   ['correct_5ftransform_5fcoords',['correct_transform_coords',['../classarm__compute_1_1_bounding_box_transform_info.xhtml#a4a0745ad0a3b87c22a1997bcf0bc92b6',1,'arm_compute::BoundingBoxTransformInfo']]],
   ['cpp',['CPP',['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7a4c162442ef22c58f6f1e330e6b692c7e',1,'arm_compute::Scheduler']]],
   ['cppboxwithnonmaximasuppressionlimit',['CPPBoxWithNonMaximaSuppressionLimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml',1,'arm_compute']]],
@@ -1484,6 +1664,9 @@
   ['cppcornercandidateskernel',['CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml',1,'CPPCornerCandidatesKernel'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#abb90b47d993e5d8d96bba4e907926126',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#af988c4afc4ef09f2ed1f5baf6ac01aee',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ad92b8672298f7675cccee2e683f2f6a6',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel(CPPCornerCandidatesKernel &amp;&amp;)=default']]],
   ['cppcornercandidateskernel_2ecpp',['CPPCornerCandidatesKernel.cpp',['../_c_p_p_corner_candidates_kernel_8cpp.xhtml',1,'']]],
   ['cppcornercandidateskernel_2eh',['CPPCornerCandidatesKernel.h',['../_c_p_p_corner_candidates_kernel_8h.xhtml',1,'']]],
+  ['cppdetectionoutputlayer',['CPPDetectionOutputLayer',['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml',1,'CPPDetectionOutputLayer'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a0c04f240b8b260665440c161d9a7fae9',1,'arm_compute::CPPDetectionOutputLayer::CPPDetectionOutputLayer()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a48f2354fc7b04280d6b88ae2d56a1ba0',1,'arm_compute::CPPDetectionOutputLayer::CPPDetectionOutputLayer(const CPPDetectionOutputLayer &amp;)=delete']]],
+  ['cppdetectionoutputlayer_2ecpp',['CPPDetectionOutputLayer.cpp',['../_c_p_p_detection_output_layer_8cpp.xhtml',1,'']]],
+  ['cppdetectionoutputlayer_2eh',['CPPDetectionOutputLayer.h',['../_c_p_p_detection_output_layer_8h.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel',['CPPDetectionWindowNonMaximaSuppressionKernel',['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml',1,'CPPDetectionWindowNonMaximaSuppressionKernel'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a8058341d64fa8dd14cac28d6ceea657c',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a88722c520f6e69c0155b0dea15f6c3a4',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a75a7146dda6f8b2025ae5fe2bbd5bec4',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2ecpp',['CPPDetectionWindowNonMaximaSuppressionKernel.cpp',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8cpp.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2eh',['CPPDetectionWindowNonMaximaSuppressionKernel.h',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8h.xhtml',1,'']]],
@@ -1492,6 +1675,8 @@
   ['cppflipweightskernel_2eh',['CPPFlipWeightsKernel.h',['../_c_p_p_flip_weights_kernel_8h.xhtml',1,'']]],
   ['cppfunctions_2eh',['CPPFunctions.h',['../_c_p_p_functions_8h.xhtml',1,'']]],
   ['cppkernels_2eh',['CPPKernels.h',['../_c_p_p_kernels_8h.xhtml',1,'']]],
+  ['cppnonmaximumsuppression',['CPPNonMaximumSuppression',['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml',1,'CPPNonMaximumSuppression'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ae19bfdeb3b571b9514011b10a2ed5adc',1,'arm_compute::CPPNonMaximumSuppression::CPPNonMaximumSuppression()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a61b6aa95e45069965a365837ca3347a1',1,'arm_compute::CPPNonMaximumSuppression::CPPNonMaximumSuppression(const CPPNonMaximumSuppression &amp;)=delete']]],
+  ['cppnonmaxsuppressionfixture',['CPPNonMaxSuppressionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2882bc85c351392ea7a603f3a3e1e499',1,'arm_compute::test::validation']]],
   ['cpppermute',['CPPPermute',['../classarm__compute_1_1_c_p_p_permute.xhtml',1,'arm_compute']]],
   ['cpppermute_2ecpp',['CPPPermute.cpp',['../_c_p_p_permute_8cpp.xhtml',1,'']]],
   ['cpppermute_2eh',['CPPPermute.h',['../_c_p_p_permute_8h.xhtml',1,'']]],
@@ -1505,6 +1690,12 @@
   ['cppsorteuclideandistancekernel',['CPPSortEuclideanDistanceKernel',['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml',1,'CPPSortEuclideanDistanceKernel'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a2a7a5f9ca6b6738a340938d5ea7b20b8',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a9c1505ea86b0f053bad9e7a595c30f82',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aacec9eede61860a3971a85c54b6a5066',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel(CPPSortEuclideanDistanceKernel &amp;&amp;)=default']]],
   ['cppsorteuclideandistancekernel_2ecpp',['CPPSortEuclideanDistanceKernel.cpp',['../_c_p_p_sort_euclidean_distance_kernel_8cpp.xhtml',1,'']]],
   ['cppsorteuclideandistancekernel_2eh',['CPPSortEuclideanDistanceKernel.h',['../_c_p_p_sort_euclidean_distance_kernel_8h.xhtml',1,'']]],
+  ['cpptopkv',['CPPTopKV',['../classarm__compute_1_1_c_p_p_top_k_v.xhtml',1,'arm_compute']]],
+  ['cpptopkv_2ecpp',['CPPTopKV.cpp',['../_c_p_p_top_k_v_8cpp.xhtml',1,'']]],
+  ['cpptopkv_2eh',['CPPTopKV.h',['../_c_p_p_top_k_v_8h.xhtml',1,'']]],
+  ['cpptopkvkernel',['CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml',1,'CPPTopKVKernel'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a9786e51541427eddb8a14214d70ef8cf',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aeae0ca26d926822e4c3ddcbdd890781c',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel(const CPPTopKVKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a5da53490e64670ebf51e267bcc89ab35',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel(CPPTopKVKernel &amp;&amp;)=default']]],
+  ['cpptopkvkernel_2ecpp',['CPPTopKVKernel.cpp',['../_c_p_p_top_k_v_kernel_8cpp.xhtml',1,'']]],
+  ['cpptopkvkernel_2eh',['CPPTopKVKernel.h',['../_c_p_p_top_k_v_kernel_8h.xhtml',1,'']]],
   ['cpptypes_2ecpp',['CPPTypes.cpp',['../_c_p_p_types_8cpp.xhtml',1,'']]],
   ['cpptypes_2eh',['CPPTypes.h',['../_c_p_p_types_8h.xhtml',1,'']]],
   ['cppupsample',['CPPUpsample',['../classarm__compute_1_1_c_p_p_upsample.xhtml',1,'arm_compute']]],
@@ -1520,7 +1711,7 @@
   ['cpuutils_2ecpp',['CPUUtils.cpp',['../_c_p_u_utils_8cpp.xhtml',1,'']]],
   ['cpuutils_2eh',['CPUUtils.h',['../_c_p_u_utils_8h.xhtml',1,'']]],
   ['crashed',['CRASHED',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba9c51674930e03c276344d19f9e4398fb',1,'arm_compute::test::framework::TestResult']]],
-  ['create',['create',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::CLFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::GCFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::NEFunctionFactory::create()'],['../classarm__compute_1_1utils_1_1_image_loader_factory.xhtml#ada8c92fe057e34525e7f8c4e8e422179',1,'arm_compute::utils::ImageLoaderFactory::create()']]],
+  ['create',['create',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::CLFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::GCFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::NEFunctionFactory::create()'],['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml#add9adb2d4e6b12ac04f461bcbf0a17d2',1,'arm_compute::cl_gemm::CLGEMMReshapedConfigurationFactory::create()'],['../classarm__compute_1_1utils_1_1_image_loader_factory.xhtml#ada8c92fe057e34525e7f8c4e8e422179',1,'arm_compute::utils::ImageLoaderFactory::create()']]],
   ['create_5factivation_5flayer',['create_activation_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0f5afb0ddd5aec3a8e4df3c56d7d91f4',1,'arm_compute::graph::backends::detail']]],
   ['create_5fbatch_5fnormalization_5flayer',['create_batch_normalization_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5d1a73ab4a0b267033a569c46813b9d5',1,'arm_compute::graph::backends::detail']]],
   ['create_5fbounding_5fbox_5ftransform_5flayer',['create_bounding_box_transform_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab3787ac008a709edda8d347370bbad61',1,'arm_compute::graph::backends::detail']]],
@@ -1535,6 +1726,8 @@
   ['create_5fdefault_5fpass_5fmanager',['create_default_pass_manager',['../namespacearm__compute_1_1graph.xhtml#a1d56c5f246a7ed8c16f5eefa59bb587f',1,'arm_compute::graph']]],
   ['create_5fdepthwise_5fconvolution_5flayer',['create_depthwise_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594',1,'arm_compute::graph::backends::detail']]],
   ['create_5fdepthwise_5fconvolution_5flayer_3c_20gcdepthwiseconvolutionlayerfunctions_2c_20gctargetinfo_20_3e',['create_depthwise_convolution_layer&lt; GCDepthwiseConvolutionLayerFunctions, GCTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a08ab53b1d15e738a39f29d778a91a512',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fdetection_5foutput_5flayer',['create_detection_output_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#afce1d2d783bb97a3a8c3c406c8cf6b9c',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fdetection_5foutput_5flayer_3c_20cppdetectionoutputlayer_2c_20cltargetinfo_20_3e',['create_detection_output_layer&lt; CPPDetectionOutputLayer, CLTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9',1,'arm_compute::graph::backends::detail']]],
   ['create_5feltwise_5flayer',['create_eltwise_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18',1,'arm_compute::graph::backends::detail']]],
   ['create_5feltwise_5flayer_3c_20gceltwisefunctions_2c_20gctargetinfo_20_3e',['create_eltwise_layer&lt; GCEltwiseFunctions, GCTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a863bcac2c361e883edf7f9abb4abd9a7',1,'arm_compute::graph::backends::detail']]],
   ['create_5ferror',['create_error',['../namespacearm__compute.xhtml#a439338e8e5a7c76a079aca52e16cff79',1,'arm_compute']]],
@@ -1544,7 +1737,7 @@
   ['create_5fgenerate_5fproposals_5flayer',['create_generate_proposals_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1a18725e5da4a7ae62c9a3b731ab8fe1',1,'arm_compute::graph::backends::detail']]],
   ['create_5fhog',['create_HOG',['../namespacearm__compute_1_1test.xhtml#a2e6c79aeedb1c5c9482568562e310fba',1,'arm_compute::test']]],
   ['create_5fkernel',['create_kernel',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a8c2942ccd8b3f3b82e3edb7950a9e414',1,'arm_compute::CLKernelLibrary::create_kernel()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a622a42cbd9eefe938d3bf87869f0b6be',1,'arm_compute::GCKernelLibrary::create_kernel()'],['../namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574',1,'arm_compute::create_kernel()']]],
-  ['create_5flayer',['create_layer',['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#afd0f42ef97e62ef3b6849bcbb8a7533a',1,'arm_compute::graph::frontend::ILayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::InputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::OutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ActivationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BatchNormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_bounding_box_transform_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BoundingBoxTransformLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ChannelShuffleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConcatLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DeconvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DummyLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::EltwiseLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FlattenLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FullyConnectedLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::GenerateProposalsLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizePlanarYUVLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PadLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PermuteLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PoolingLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_prior_box_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PriorBoxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReorgLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReshapeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ResizeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ROIAlignLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ScaleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SliceLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SoftmaxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::UpsampleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_y_o_l_o_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::YOLOLayer::create_layer()']]],
+  ['create_5flayer',['create_layer',['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#afd0f42ef97e62ef3b6849bcbb8a7533a',1,'arm_compute::graph::frontend::ILayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::InputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::OutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ActivationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BatchNormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_bounding_box_transform_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BoundingBoxTransformLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ChannelShuffleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConcatLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DeconvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DetectionOutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DummyLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::EltwiseLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FlattenLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FullyConnectedLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::GenerateProposalsLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizePlanarYUVLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PadLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PermuteLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PoolingLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_prior_box_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PriorBoxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReorgLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReshapeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ResizeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ROIAlignLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ScaleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SliceLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SoftmaxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::UpsampleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_y_o_l_o_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::YOLOLayer::create_layer()']]],
   ['create_5flogger',['create_logger',['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a12c01aa87c5962d33fc54012a57e37e8',1,'arm_compute::logging::LoggerRegistry']]],
   ['create_5fmemory_5fmanager',['create_memory_manager',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::CLDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::GCDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::NEDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#aa42b584f7715675c47b7ecb70d494e9c',1,'arm_compute::graph::backends::IDeviceBackend::create_memory_manager()']]],
   ['create_5fmulti_5fimage',['create_multi_image',['../namespacearm__compute_1_1test.xhtml#a764bac61748afaf8fd0468b2a4cb09be',1,'arm_compute::test']]],
@@ -1553,6 +1746,7 @@
   ['create_5fnormalization_5flayer',['create_normalization_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8',1,'arm_compute::graph::backends::detail']]],
   ['create_5fnormalization_5flayer_3c_20nenormalizationlayer_2c_20netargetinfo_20_3e',['create_normalization_layer&lt; NENormalizationLayer, NETargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab68902cd2bb95bf47f5967718015343c',1,'arm_compute::graph::backends::detail']]],
   ['create_5fnormalize_5fplanar_5fyuv_5flayer',['create_normalize_planar_yuv_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a92b35a365f58606a13baaf4501d78d9e',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fopencl_5fcontext_5fand_5fdevice',['create_opencl_context_and_device',['../namespacearm__compute.xhtml#aca9062d049299f125a442eac466402fd',1,'arm_compute']]],
   ['create_5fpad_5flayer',['create_pad_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a127d0cce11ed3d411eaa5bd25c7a3ac1',1,'arm_compute::graph::backends::detail']]],
   ['create_5fpermute_5flayer',['create_permute_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa65a1becdfa5fc3533d79bba0cd4095c',1,'arm_compute::graph::backends::detail']]],
   ['create_5fpool',['create_pool',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab414c062d699e4a5a729a9221cb02e2b',1,'arm_compute::BlobLifetimeManager::create_pool()'],['../classarm__compute_1_1_i_lifetime_manager.xhtml#ab14145b312cf5bf366bc9d7c143f85a1',1,'arm_compute::ILifetimeManager::create_pool()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ab414c062d699e4a5a729a9221cb02e2b',1,'arm_compute::OffsetLifetimeManager::create_pool()']]],
diff --git a/documentation/search/all_5.html b/documentation/search/all_5.html
index 89a879e..f0780fd 100644
--- a/documentation/search/all_5.html
+++ b/documentation/search/all_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_5.js b/documentation/search/all_5.js
index 4bdf6ca..3c74e65 100644
--- a/documentation/search/all_5.js
+++ b/documentation/search/all_5.js
@@ -3,16 +3,18 @@
   ['d0',['D0',['../optical__flow__pyramid__lk_8cl.xhtml#ae0b2360d4b8e961bf2709b0663fd9f2a',1,'optical_flow_pyramid_lk.cl']]],
   ['d1',['D1',['../optical__flow__pyramid__lk_8cl.xhtml#a52deba56234661c77d4b9573d5175ae2',1,'optical_flow_pyramid_lk.cl']]],
   ['data',['data',['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a99c07c946023f413991a249db8b99ab0',1,'arm_compute::CLLutAllocator::data()'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a99c07c946023f413991a249db8b99ab0',1,'arm_compute::CLTensorAllocator::data()'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a99c07c946023f413991a249db8b99ab0',1,'arm_compute::GCTensorAllocator::data()'],['../classarm__compute_1_1_lut_allocator.xhtml#a344325f71f51323330de47f307ebecfd',1,'arm_compute::LutAllocator::data()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a344325f71f51323330de47f307ebecfd',1,'arm_compute::TensorAllocator::data()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f',1,'arm_compute::test::CLAccessor::data() const'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020',1,'arm_compute::test::CLAccessor::data()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f',1,'arm_compute::test::Accessor::data() const'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020',1,'arm_compute::test::Accessor::data()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a4ae7e1f6885eb47c11062cc74e6a6e19',1,'arm_compute::test::SimpleTensor::data() const'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#adc1e16b293a89a9ccc9541058b5ca560',1,'arm_compute::test::SimpleTensor::data()']]],
-  ['data_5flayout',['data_layout',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b',1,'arm_compute::utils::CommonGraphParams::data_layout()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aa276d896db24e95060047eb2f886614d',1,'arm_compute::utils::CommonGraphOptions::data_layout()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::ITensorInfo::data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::SubTensorInfo::data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::TensorInfo::data_layout()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::CLAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::GCAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::test::IAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::Accessor::data_layout()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::SimpleTensor::data_layout()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a786677cbfb3f5677b4d84f3056eb08db',1,'arm_compute::test::validation::data_layout()']]],
+  ['data_5flayout',['data_layout',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b',1,'arm_compute::utils::CommonGraphParams::data_layout()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aa276d896db24e95060047eb2f886614d',1,'arm_compute::utils::CommonGraphOptions::data_layout()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::ITensorInfo::data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::SubTensorInfo::data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::TensorInfo::data_layout()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::CLAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::GCAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::test::IAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::Accessor::data_layout()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::SimpleTensor::data_layout()']]],
   ['data_5flayout_5ffrom_5fname',['data_layout_from_name',['../namespacearm__compute.xhtml#a834b76c7d21af898f39def3b787d7530',1,'arm_compute']]],
   ['data_5fpath',['data_path',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a30a81dbc66a8e9eeb693a75046b4655d',1,'arm_compute::utils::CommonGraphParams::data_path()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a10f94123b5c23f4d0ee7362c2617d812',1,'arm_compute::utils::CommonGraphOptions::data_path()']]],
   ['data_5fsize_5ffrom_5ftype',['data_size_from_type',['../namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab',1,'arm_compute']]],
-  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a43b1925356e3d36a468e104d798c60ec',1,'DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab71f703bd3f185e8d06c405e0d15d52a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ca1814eff79e9a3d6d693849683d8f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateS16Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77a7b07127f4aa5d92f20e6014db8867',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateU8Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67f6d1602011afbc2ccef6f90a774c16',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2688678165d426def947a6240127b12b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, false, false })), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bcdcdf3e14fa211e3df60f1bcb8bc36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad20fc64935af732f862cfd448fb0436d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae948880eae2d3491e8cc417fb6af0d36',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecb5da7dbdc0508399748704378c4639',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae74027b0c94f3b7cc2affa94a9d9ab3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_gamma, use_beta, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25e2030754af10983828182e0deaeed',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe9d26603a71b3c45ebf1d4ac0e3bee',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, block_shape_shape, output_shape, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab486c194d8d408aefb3eae9cca4c2563',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb242fc7a08cc518edaee5c36262f8cb',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2 })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1767a5d935fd8a46e9c006e3782c3bb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;BoxesInfo&quot;, { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), framework::dataset::make(&quot;PredBoxesInfo&quot;,{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;DeltasInfo&quot;, { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;BoundingBoxTransofmInfo&quot;, { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dd1febe605b2db8324655e5c693abd4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0324d8b990822bf5a4198dbd314c3bb6',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95cb3ec331c9716238f345cf079ebb63',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4718e06b14b31bf5ee5327d5d7bd01d4',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1c198082b24a308f1d479a64634a6dc',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9adefa93f6a8d40b690373c0d3b697c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab17d85ca94ce27b1318a258babe9f0c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af01e7379b497c6925355012544f57008',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89dea49d6442ce20e618d1a736c8f854',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4 })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 1, 1, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c6289eccdc5762de725d4af56dc8db7',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4bbb1df52cf725ee2fba20efe08d6b1',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a471573534197b2ed91dce9bd8f2e12c1',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBtoU8, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGB_to_U8), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac84cb1a81d28c2872457ba2d6741f399',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68ece19a4b3449b89b4e0775c7f118a3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a04f63f20e265174810a33393d25928',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a12a78eeb0beb40cd2a4f93a4e50dd7ed',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6024ddbc49ec8e38f10ccb62e1796431',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9ae10d09097adac5ab02eb69db2450b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82ec923626279db3a90687b43a7724aa',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make(&quot;EnableFastMath&quot;, { false, false, false, false, false, false, true, true })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a420888ddfd7ba583d4bd113a72bec70f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378731124b458a89a8e501b813d55870',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe95cd0bbd0e16272be4bf41d7a17ad5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87c63bcb10f8d9d2dd3b697117f9de66',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3afcbc3a0df0d3476169ad0d536550da',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae19ae5ebfc0561f46de271fc37f13c77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af535cbe0bc5bbe1318f4719bacdd4fd2',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3be02a001fd0ea7533670a5bc4bbfbff',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60bce01d83538dd27cddcbea97046c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae408ebf375fe9401ddb3fc30be6ee254',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7abb3c5ef69509a8a8c2ec8e7dea242',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70d260ea6070965cb0bab9d6559abb28',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;scores&quot;, { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make(&quot;deltas&quot;,{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make(&quot;anchors&quot;, { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make(&quot;proposals&quot;, { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;scores_out&quot;, { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;num_valid_proposals&quot;, { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make(&quot;generate_proposals_info&quot;, { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8cbbd68453259f0c10bde13e03bde34',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abbf29c3196014ae38a994e8278407bc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01c920f4e14bcf0df015004b0e73691',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 4U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02f7704050bf75595bbb4009a6bd12c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15221160dbe648335c35231c529f65d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;InputWeightsInfo&quot;, { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;ProjectionBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellStateInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ScratchInfo&quot;, { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6475de3c912574ea8dbf02addf6cfe00',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7240e6d673468111723e7b4a20145aeb',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a07f8a03ee00da37a5ba6b89c7e748d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a815667e6214a460ca2b32b8a3d2991b8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, true, true })), input_info, output_info, padding, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09dc286bdc4ddde0d0d7914ad026346',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::U16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 5U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(21U, 64U, 2U, 128U), 1, DataType::F32), TensorInfo(TensorShape(2U, 21U, 64U, 128U), 1, DataType::U16), })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(1U, 1U, 1U, 1U), PermutationVector(2U, 1U, 3U, 0U), PermutationVector(3U, 2U, 1U, 0U), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true, true, false, false, false, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Scale&quot;,{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d47360b71b942aa8a57912b3b1d7d3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PriorBoxInfo&quot;,{ PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), })), framework::dataset::make(&quot;Expected&quot;, { true, false})), input1_info, input2_info, output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0c3565b30f4234d850c64a2a6ea89',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { Coordinates(4), Coordinates(0, 2), Coordinates(2) })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a259fed1b314963b2646ab1d9fda3d0d5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25f2ef65d5bc1365c06e9a12b64a9f4f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0f1d245d54dbf144b789d5917838329',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb0b52b4f9be21c5363b9843ba2b496e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64), TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;Stride&quot;, { 2, 2, 4, 3 })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, true, false })), input_info, output_info, stride, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3966da5462e4f9aeff9a4c5c766a971',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallReorgLayerDataset(), datasets::LargeReorgLayerDataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8870dc8041b8433f43da5ec26e5dada',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9a599036cbe43ea19a36c05257d5f87',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1a7b6a03b15da9425ba83e29e8743ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;RoisInfo&quot;, { TensorInfo(TensorShape(5, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 3U), 1, DataType::F16), TensorInfo(TensorShape(5, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 2U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e5b7cad90ebb803b5134d7577b34bc1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32), TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16), TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32), TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Policy&quot;,{ InterpolationPolicy::BILINEAR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA, })), framework::dataset::make(&quot;BorderMode&quot;,{ BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, true, false, false, false })), input_info, output_info, policy, border_mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abddf84b23fdba6315be03f17307b0e14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa465d22edcd658d50ade39d52334aa3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, starts, ends, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a771a5631851d0b049d2c941a4f22ecd5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa43a1389ad43d3659384478c104f81e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4e6afca4acace0df44e4dbdbbb6b64a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, block_shape_shape, paddings_shape, output_shape, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0678383baafa372656f23d66712fe5af',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;PaddingsShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, paddings_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f596a5c3403238c30607e64d9fbb3d1',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2, 2 })), framework::dataset::make(&quot;PadLeft&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;PadRight&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49277b316cc621ed0e9fd829cbc21077',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Axis&quot;, { 4, 2, 2 })), framework::dataset::make(&quot;Splits&quot;, { 4, 5, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, axis, splits, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed1389e2305dbba938bf6b9b95b0e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea9ce98d4af597ef7dfed976563a53dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Strides&quot;, { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, starts, ends, strides, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3e78a742ac6ca0a855fad18d4f3cdb3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68ac79ae9ec2d2d1941c30cb23c5124c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87d14ef9b0840f83d5e9451ea8e9f037',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad941eafe31aa908e4c39405990a6e148',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778b3df465ed2c9457feb9ea872f0ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, upsampling_policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79f123bc8a8556c3147f80b968ba2d38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93528474c38e7f0a40c7668b34e4c45a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0806d3aa5c8a059553ad93b573e4b82c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55409bde5927424cc29466f6c088a33a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNCHW, LargeWinogradInputTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_in, winograd_info, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d5502c66cceb459f5e78210c455bbdf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNCHW, LargeWinogradFilterTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_a, output_tile, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31ec28b5ef4440724706cde4709bef0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNCHW, LargeWinogradOutputTransformDatasetNCHW), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_a, winograd_info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72aab74351767515bdc1e6cc4d2bf516',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4104fbe4e32e1f40aef2ef215385cfc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerReducedDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a539c8825b54233673d99ba188a6bcc49',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a6be9a28cd340cd10813b2be8d1a6ef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae904c8bf0b18987aa7ed5dba0d3c60d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21aee323ab2c48634afcdaa5d1d87901',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e109b3ab75f2113c4158b7187f899c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cf9c539b52f835653e100d3f309856e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29fea97db54d4560d46d8752ec59eb07',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae27f97a73d36293a94307d382e27c9b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab62d37f727e4d9bcafb222b2d203acf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62d4f856c1a8891d8461f191eed5bd9d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6febcfe6c8584f2def828a3cd49d1531',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8b8b22086f107a6db937157bbaa9647',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;FastMath&quot;, { true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb65b429d8bb356a6aea3a366ef56e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e5db1c898c389b185d215fbced2715a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ 0, 8, 13, })), framework::dataset::make(&quot;Max&quot;,{ 205, 300, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb90caff595b774fc86cc53bd5023e58',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d2f5d2790a1491bfa9b326bb93a90c6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d93fd83742ad7467793fd97fa86fa3f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true, false, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d1ab5d9aeab4c3c99c04cc8ff15bc77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Scale&quot;,{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false })), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed08bc1c9d8813e8b3e6d7da9c892ad1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3fde559e0fbcf7d84408f87ce108d14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6e17cb959b8c376db868f6154a483e3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3830d4e647f546ac6d38972d094d8b5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;BorderMode&quot;, { BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE, })), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER, SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6f344fd1ac7dd22a492166e451be5c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbaf14fbeb0b6de2b5c79a3186e281b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274bed0845c8fb1e2e56d175d82efe52',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U16), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3a9be28851ffe70ea37f1da42c13ac1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c9d222c8e5c1ef02fa9f4b343f0a976',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 10U }, TensorShape{ 10U, 10U }, TensorShape{ 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U, 10U }}), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingSize{ 0, 0, 0, 0 }, PaddingSize{ 0, 36, 0, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }})), framework::dataset::make(&quot;Strides&quot;, { Strides{}, Strides{ 1U, 50U }, Strides{ 1U, 50U }, Strides{ 1U, 50U, 900U }, Strides{ 1U, 50U, 900U, 9000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U, 900000U }})), framework::dataset::make(&quot;Offset&quot;, { 0U, 4U, 204U, 204U, 204U, 204U, 204U })), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff7b127bdccdb0be89b5f18bf4fbf777',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U }, TensorShape{ 2U, 3U, 5U }, TensorShape{ 2U, 3U, 5U, 7U }, TensorShape{ 2U, 3U, 5U, 7U, 11U }, TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}), framework::dataset::make(&quot;NumDimensions&quot;, { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })), framework::dataset::make(&quot;TotalSize&quot;, { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a27db011848222cd739c833cd57537632',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -3.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a6ef92b04d435ab565a26eeebcdced806',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 2.f, 3.f, -3.f, -4.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4eaacf0c251a42054ef98ad17828ea1a',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a1168f71fb63650656eed1a480243762d',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 1.f, 2.f, 2.f, -3.f, -3.f, -3.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a627a856fabfe1b44438ed3cf5b741482',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -4.f, -4.f, -4.f, -5.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a694e9cd4762973da6bfc01e10c9e5313',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), shape, coordinate, ref_index):&#160;Utils.cpp'],['../_window_iterator_8cpp.xhtml#acd2ef152b1743c15de3f67238d0eac43',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;Window&quot;, { create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2)) }), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(0, 0) }), create_vector({ Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4) }), create_vector({ Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1) }) })), window, expected):&#160;WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a73168adf798e300ad06a0341c1c9bd59',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make(&quot;Window&quot;, create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make(&quot;Start&quot;, { 0, 1, 3, 2, 4 })), framework::dataset::make(&quot;End&quot;, { 0, 2, 5, 8, 7 })), framework::dataset::make(&quot;RowSize&quot;, { create_vector({ 4 }), create_vector({ 8, 8 }), create_vector({ 4, 8, 8 }), create_vector({ 8, 8, 16, 16, 16, 16, 4 }), create_vector({ 16, 16, 16, 16 }), })), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
+  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a43b1925356e3d36a468e104d798c60ec',1,'DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ece0381b862c0380738c6a20ba6fa9f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cf751456bb23643402494b0d60e896c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateU8Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7953698326d53bf5c662c6c3f53347',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2688678165d426def947a6240127b12b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, false, false })), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a849706f06089adc69a74d78ad6609474',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 4, 0, 2, 0 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, false })), input_info, output_info, axis, operation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae9207ebcb35e993edcc60ae989e28d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bcdcdf3e14fa211e3df60f1bcb8bc36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae87c36e25c2842550c96bcd0c2ae64b8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae06592c37d758618a2453ba531d44f3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af704b1c4e364329320f5aab76722a5e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bf71df22cf01e4368b66a37c47cc1bd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee8fff2abe7ddefd3ec1df377eea2c84',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_gamma, use_beta, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25e2030754af10983828182e0deaeed',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab486c194d8d408aefb3eae9cca4c2563',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb242fc7a08cc518edaee5c36262f8cb',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2 })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a984b5038e80bd536684ca2ae23cc567d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1767a5d935fd8a46e9c006e3782c3bb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;BoxesInfo&quot;, { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), framework::dataset::make(&quot;PredBoxesInfo&quot;,{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;DeltasInfo&quot;, { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;BoundingBoxTransofmInfo&quot;, { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb226ba1db8489dcf15c6af89835f61',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04582bdd10e46245471f749ce701a35b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17a8f5af696f2a516279c6a9ed7c8c82',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;NumGroups&quot;,{ 1, 2, 2, 4, 3, 2, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af01e7379b497c6925355012544f57008',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89dea49d6442ce20e618d1a736c8f854',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4 })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 1, 1, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63e53b554dd67e816487c7313f7a0b99',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c6e504f8c7a20e65a54ec87fb1a6587',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ff15f7408a55dffbf9aa6c956805cf0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBtoU8, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac65df939da2cfd7e0afd5f8c69e24cc9',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3672b13658f3d8fc31be77f9c121fc3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cb6baaad52a436770c6e1fe25443b33',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afbb8b943e957bb805a291dfab75617c6',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad66aa3197275df9b5ad79f3bb111f3fa',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ffd8a361da1357b6142d3858ca1b76e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99099c34e332efb70e1685e0f35833a4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configure_dataset, shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a482f48e436d396077b8b6eef81b05dd8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 42U), 1, DataType::F16), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), })), framework::dataset::make(&quot;OriginalInput&quot;, { TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NCHW, DataLayout::UNKNOWN, })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, false})), input_info, output_info, original_input_shape, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173d919e5152583a4b2b0ea82f937d47',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20c992ef5f3ed415c1e5a5a3ab19287d',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make(&quot;EnableFastMath&quot;, { false, false, false, false, false, false, true, true })), framework::dataset::make(&quot;Expected&quot;,{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb065a41d5c0bce8f2e6434d622d1b0d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee35477d880f96a3452748151cef29ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f63ffde26ef561824136f3ed5ce5626',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 0U, 0U, 0U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 0U, 0U, 0U, 0U, 1U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae19ae5ebfc0561f46de271fc37f13c77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af535cbe0bc5bbe1318f4719bacdd4fd2',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a298d57f0fde19b5f0952a70be306e134',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;MinMax&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, min_max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d12512b7fe4d897c48b9963cc192515',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3be02a001fd0ea7533670a5bc4bbfbff',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44b43a2397a2845c12d9d56b727ef233',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make(&quot;IndicesInfo&quot;, { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(10U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ccc6ea082b6287dae84dde7ef79b14c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b2e02f12273c1b7a724328e3912a9cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallGEMMLowpDataset(), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0d31acbe1344cd7c3a52388a20dd06e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add0fceafa27f807388430edba8dc6ca3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab87a4db4c169d4c9db1f6b5e18048f0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, v0_value, h0_value, i_value_lhs, i_value_rhs)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb8ee580efcdf567d6a4dae88c475000',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationSmall, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7f83bdb36e6941d35892103ce3efe9',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4f254c02834487267671c337e62f0e0',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcadccb845be881a26d1255fd80c3e08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration0, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b5d13a6ee6b773fc732ec5579bf6132',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration1, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70d260ea6070965cb0bab9d6559abb28',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;scores&quot;, { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make(&quot;deltas&quot;,{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make(&quot;anchors&quot;, { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make(&quot;proposals&quot;, { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;scores_out&quot;, { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;num_valid_proposals&quot;, { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make(&quot;generate_proposals_info&quot;, { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0d8f91f0b1c186d8af5621eacd01594',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a52a920e879bf84c11e62764a9500c9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab643382ce12afed7780a6707991da1dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48af4ac179552d400582f2f4178318f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 3U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15221160dbe648335c35231c529f65d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;InputWeightsInfo&quot;, { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;ProjectionBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellStateInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ScratchInfo&quot;, { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a327ea02cf18e7b8abed280f64b6e6d07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d285112d4d773d616f899d4575d8abf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a276598901fe9b24094975116ac66d5e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, true, true })), input_info, output_info, padding, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Scale&quot;,{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d47360b71b942aa8a57912b3b1d7d3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PriorBoxInfo&quot;,{ PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), })), framework::dataset::make(&quot;Expected&quot;, { true, false})), input1_info, input2_info, output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a228e1979c76863f97ffdea7be59fda69',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae54270fd6f7436ab14dfef4910984a5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::F32), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(10U), 1, DataType::U8), }), framework::dataset::make(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f})), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0c3565b30f4234d850c64a2a6ea89',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { Coordinates(4), Coordinates(0, 2), Coordinates(2) })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25f2ef65d5bc1365c06e9a12b64a9f4f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2468a9d9dc7b6450258bbb8eff28390',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb0b52b4f9be21c5363b9843ba2b496e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64), TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;Stride&quot;, { 2, 2, 4, 3 })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, true, false })), input_info, output_info, stride, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5551196e8727559372e22f031924b920',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8870dc8041b8433f43da5ec26e5dada',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affdcdb0eb8b772707770affb973a6efe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;AxisInfo&quot;,{ TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9a599036cbe43ea19a36c05257d5f87',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53125733acb5d4157ebb4b2f191433b3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;RoisInfo&quot;, { TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F16), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1191ea29766e411ab8173ae62e84a69e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e5b7cad90ebb803b5134d7577b34bc1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32), TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16), TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32), TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Policy&quot;,{ InterpolationPolicy::BILINEAR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA, })), framework::dataset::make(&quot;BorderMode&quot;,{ BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, true, false, false, false })), input_info, output_info, policy, border_mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97e496b2dd035ddb737c9e2d3c71a381',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::MediumShapes(), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebc10ebaa1aa56ca405a5bc8b7e11026',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;CInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(13U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;XInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;YInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), c_info, x_info, y_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb8fd2b1ee77b9b379853485bb429217',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, shape, same_rank)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87d9f386f53d15a1403514f8dcc059bd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, starts, ends, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a771a5631851d0b049d2c941a4f22ecd5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4c6b8066352bd78793a4673ccedfb8c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SoftmaxLayerSmallShapes(), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa43a1389ad43d3659384478c104f81e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ec0204e16e156843a46d670618baa25',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::S32), })), framework::dataset::make(&quot;PaddingsShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, paddings_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f596a5c3403238c30607e64d9fbb3d1',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2, 2 })), framework::dataset::make(&quot;PadLeft&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;PadRight&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0b36b976c5b2f378f229b4c9db95170',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Axis&quot;, { 4, 2, 2 })), framework::dataset::make(&quot;Splits&quot;, { 4, 5, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, axis, splits, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed1389e2305dbba938bf6b9b95b0e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa592247e90b4ec742ec8d73842c391e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), })), framework::dataset::make(&quot;Axis&quot;, { -3, 1, -4, -3, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdb062eabf45af9f84aa11d0f74dc6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Strides&quot;, { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, starts, ends, strides, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3e78a742ac6ca0a855fad18d4f3cdb3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302f7eee312512ab90d7ae61eeaff396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e33546f75c1de3f66b180c270465d66',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F16), TensorInfo(TensorShape(10, 10), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F32)})), framework::dataset::make(&quot;Multiples&quot;,{ Multiples{1, 2}, Multiples{1, 2}, Multiples{0, 1} })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false })), input_info, output_info, multiples, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36db9499786f252198703486e5d1cd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ceb73ac4972a242438dc2ada29ecb2d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ccbbd6a9efa693cbd9ad13cafef40f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, })), framework::dataset::make(&quot;Axis&quot;, { -3, 3, -4, -3, 1, 1 })), framework::dataset::make(&quot;Num&quot;, { 1, 1, 1, 1, 0, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, false })), input_info, output_info, axis, num, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778b3df465ed2c9457feb9ea872f0ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, upsampling_policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79f123bc8a8556c3147f80b968ba2d38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93528474c38e7f0a40c7668b34e4c45a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0806d3aa5c8a059553ad93b573e4b82c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45b09270b4877361f007dd6f4320d2f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), })), framework::dataset::make(&quot;Numclasses&quot;, { 1, 1, 1, 0, 1, 1, 1, 1 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true})), input_info, output_info, act_info, num_classes, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c04187b148810b65acce6528c9b83be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;BoundingBox&quot;,{ TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), }), framework::dataset::make(&quot;Scores&quot;, { TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(66U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), })), framework::dataset::make(&quot;Indices&quot;, { TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(3U), 1, DataType::S32), TensorInfo(TensorShape(200U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), })), framework::dataset::make(&quot;max_output&quot;, { 10U, 2U, 4U, 3U, 66U, 1U, 0U, 10000U, 100U, 10U, })), framework::dataset::make(&quot;score_threshold&quot;, { 0.1f, 0.4f, 0.2f, 0.8f, 0.3f, 0.01f, 0.5f, 0.45f, -1.f, 0.5f, })), framework::dataset::make(&quot;nms_threshold&quot;, { 0.3f, 0.7f, 0.1f, 0.13f, 0.2f, 0.97f, 0.76f, 0.87f, 0.1f, 10.f, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, false, false, true, false, false })), bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a822e5814a7ccc966d5bac4d5f2fb0ebe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;PredictionsInfo&quot;, { TensorInfo(TensorShape(20, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F16), TensorInfo(TensorShape(20, 10), 1, DataType::S8), TensorInfo(TensorShape(10, 10, 10), 1, DataType::F32), TensorInfo(TensorShape(20, 10), 1, DataType::F32)}), framework::dataset::make(&quot;TargetsInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32)})), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(1), 1, DataType::U8)})), framework::dataset::make(&quot;k&quot;,{ 0, 1, 2, 3, 4 })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false, false })), prediction_info, targets_info, output_info, k, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7adca64f0e6de4b6f9ce64c45412fe6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe83a791686e736dc7955008a7cf5879',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4104fbe4e32e1f40aef2ef215385cfc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerReducedDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cfdd05c16dfa9aa56d6db3d3d58bab3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a539c8825b54233673d99ba188a6bcc49',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a6be9a28cd340cd10813b2be8d1a6ef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae904c8bf0b18987aa7ed5dba0d3c60d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21aee323ab2c48634afcdaa5d1d87901',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a2ea332437f7dbd127adafbdb4d86b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e109b3ab75f2113c4158b7187f899c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29fea97db54d4560d46d8752ec59eb07',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ed8b4681b5e026cbac93b871e7ade81',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a941173879bda166e543430ccddfcd4e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88360f5eb70b5f76d59e02b0f36d7b08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab62d37f727e4d9bcafb222b2d203acf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dfffa3ac67a2f59c9a5baee840651fd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), weights_info, mvbg_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14bcbfe5c0034af367cd66e4880f7e07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4f1e8c8d3eef49fdc3b0afd81c15ba0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefb03bbb428b161af375b97d075c9a13',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae6e852b77301ed37776a2f7cd93b064',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d3d6603060724a479df2b5e1a24e3e9',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a495f878ba4ab95e9d3f8a151b502f059',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a408064ad787f5a169b92c8bc6a88488a',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62d4f856c1a8891d8461f191eed5bd9d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6febcfe6c8584f2def828a3cd49d1531',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29cffdb4cc566d262e1150a4e8375d49',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac16ee018eeceda8c06745acee046d421',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6abee4ae21d2aaf1c234617ac5bca19',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;FastMath&quot;, { true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b2bcfadb2d0be741a44200a2940692',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e5db1c898c389b185d215fbced2715a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a925ebbdb984bd7de1e60ca47eb30502d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a542f3ac6e2b72fc1990b27519c9cf3f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73f99bf66a67a857145c0797dba93c50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94eefbc94d13bbab00525b3b14e66971',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af459dd90146584546f740bbb6975d125',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a414d3a4c353831843e82d283efbae250',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make(&quot;IndicesInfo&quot;, { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2492479cb961e36976a096e29d2b9d4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ 0, 8, 13, })), framework::dataset::make(&quot;Max&quot;,{ 205, 300, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2631171dcf2992c9af515b0451018d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6498b224c9fcde95311d04ab92e9ecf1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d89f8b6714c942b5d8f0c363b863a2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d2f5d2790a1491bfa9b326bb93a90c6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d1ab5d9aeab4c3c99c04cc8ff15bc77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Scale&quot;,{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false })), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed08bc1c9d8813e8b3e6d7da9c892ad1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c57370131786b1f37e040ffd06bf477',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::F32), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(10U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U), 1, DataType::U8), }), framework::dataset::make(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2021ddb32c83c8e932f5a5d7d315c87c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec29421fa24c95cf9c740944a70e76b4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6e35f864b13d57f8f40dc86931405f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallReorgLayerDataset(), datasets::LargeReorgLayerDataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5f537351eac7d53069515570e9f600f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;AxisInfo&quot;, { TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a614bc7d280f8e91c5d60e5794bdaaaec',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;BorderMode&quot;, { BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE, })), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e82562ed5b5aff773e44abff48b5965',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ba4f69454fa7a89821287ee35b448f0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb2afad9a946e9aaf8a2ab7c5429d126',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configuration_dataset, shape, same_rank)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37f7baff1b11a12013415b19f775ac0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbb047b281e11542f522879a59b6c310',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Medium2DShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75be06f45679b13a90cc51e5ac861018',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;beta&quot;, { 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, })), framework::dataset::make(&quot;axis&quot;, { 1, 1, 1, 1, 1, 1, 1, 0, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true, false })), input_info, output_info, beta, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3820b1ae0dc6219a42e29d9f41903dd0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa592247e90b4ec742ec8d73842c391e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), })), framework::dataset::make(&quot;Axis&quot;, { -3, 1, -4, -3, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a665eb0030e48bccfbcf69ff639da9db6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, data_types), n_values), shape_in, axis, data_type, num_tensors)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1407acae2346c31f76d692cfded640fc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274bed0845c8fb1e2e56d175d82efe52',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U16), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec1cccf6a6f5355142fa7e94e682f939',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3a9be28851ffe70ea37f1da42c13ac1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab780bab1614f2fd0b354a0905e897c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c9d222c8e5c1ef02fa9f4b343f0a976',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 10U }, TensorShape{ 10U, 10U }, TensorShape{ 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U, 10U }}), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingSize{ 0, 0, 0, 0 }, PaddingSize{ 0, 36, 0, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }})), framework::dataset::make(&quot;Strides&quot;, { Strides{}, Strides{ 1U, 50U }, Strides{ 1U, 50U }, Strides{ 1U, 50U, 900U }, Strides{ 1U, 50U, 900U, 9000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U, 900000U }})), framework::dataset::make(&quot;Offset&quot;, { 0U, 4U, 204U, 204U, 204U, 204U, 204U })), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff7b127bdccdb0be89b5f18bf4fbf777',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U }, TensorShape{ 2U, 3U, 5U }, TensorShape{ 2U, 3U, 5U, 7U }, TensorShape{ 2U, 3U, 5U, 7U, 11U }, TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}), framework::dataset::make(&quot;NumDimensions&quot;, { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })), framework::dataset::make(&quot;TotalSize&quot;, { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a27db011848222cd739c833cd57537632',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -3.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a6ef92b04d435ab565a26eeebcdced806',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 2.f, 3.f, -3.f, -4.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4eaacf0c251a42054ef98ad17828ea1a',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a1168f71fb63650656eed1a480243762d',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 1.f, 2.f, 2.f, -3.f, -3.f, -3.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a627a856fabfe1b44438ed3cf5b741482',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -4.f, -4.f, -4.f, -5.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a694e9cd4762973da6bfc01e10c9e5313',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), shape, coordinate, ref_index):&#160;Utils.cpp'],['../_window_iterator_8cpp.xhtml#acd2ef152b1743c15de3f67238d0eac43',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;Window&quot;, { create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2)) }), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(0, 0) }), create_vector({ Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4) }), create_vector({ Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1) }) })), window, expected):&#160;WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a73168adf798e300ad06a0341c1c9bd59',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make(&quot;Window&quot;, create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make(&quot;Start&quot;, { 0, 1, 3, 2, 4 })), framework::dataset::make(&quot;End&quot;, { 0, 2, 5, 8, 7 })), framework::dataset::make(&quot;RowSize&quot;, { create_vector({ 4 }), create_vector({ 8, 8 }), create_vector({ 4, 8, 8 }), create_vector({ 8, 8, 16, 16, 16, 16, 4 }), create_vector({ 16, 16, 16, 16 }), })), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
   ['data_5ftest_5fcase_5fconstructor',['DATA_TEST_CASE_CONSTRUCTOR',['../tests_2framework_2_macros_8h.xhtml#adbd9bcfdb4c52d5acf73ce39c232b5c8',1,'Macros.h']]],
   ['data_5ftest_5fcase_5fimpl',['DATA_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#adf3ec4a62a3f0d3e74ebd35d59ddd097',1,'Macros.h']]],
   ['data_5ftest_5fregistrar',['DATA_TEST_REGISTRAR',['../tests_2framework_2_macros_8h.xhtml#aa4df8c1af6041bc017bd9fb943d5e5d6',1,'Macros.h']]],
   ['data_5ftranspose',['data_transpose',['../namespacearm__compute_1_1test_1_1validation.xhtml#a21c746108f9b5d95496012a42de374cd',1,'arm_compute::test::validation']]],
   ['data_5ftype',['data_type',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3',1,'arm_compute::graph::TensorDescriptor::data_type()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9',1,'arm_compute::utils::CommonGraphParams::data_type()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a07e18432725b2e2d3c0a5625a8aea8a8',1,'arm_compute::utils::CommonGraphOptions::data_type()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::ITensorInfo::data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::SubTensorInfo::data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::TensorInfo::data_type()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::CLAccessor::data_type()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::GCAccessor::data_type()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::test::IAccessor::data_type()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::Accessor::data_type()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::SimpleTensor::data_type()'],['../convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1',1,'DATA_TYPE():&#160;convolution3x3.cl'],['../convolution5x5_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1',1,'DATA_TYPE():&#160;convolution5x5.cl'],['../convolution7x7_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1',1,'DATA_TYPE():&#160;convolution7x7.cl'],['../convolution9x9_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1',1,'DATA_TYPE():&#160;convolution9x9.cl'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14',1,'arm_compute::test::validation::data_type()']]],
+  ['data_5ftype0',['data_type0',['../namespacearm__compute_1_1test_1_1validation.xhtml#adb235ab252392709d8cc3e4d24ad66ed',1,'arm_compute::test::validation']]],
+  ['data_5ftype1',['data_type1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a65ecc2dc1be4f6de6dbc1c132702d192',1,'arm_compute::test::validation']]],
   ['data_5ftype_5ffor_5fconvolution',['data_type_for_convolution',['../namespacearm__compute.xhtml#a01adc12d8e07c06cdb0f03c56a455bf3',1,'arm_compute']]],
   ['data_5ftype_5ffor_5fconvolution_5fmatrix',['data_type_for_convolution_matrix',['../namespacearm__compute.xhtml#a3992df9e8723140a53e49dc194d89ef5',1,'arm_compute']]],
   ['data_5ftype_5ffrom_5fformat',['data_type_from_format',['../namespacearm__compute.xhtml#a59846ef5ca75cd81cdb7e8a1ce08f9db',1,'arm_compute']]],
@@ -57,7 +59,7 @@
   ['declare_5fneon_5ffunctions_5ffor_5ftype',['DECLARE_NEON_FUNCTIONS_FOR_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#a32a426c4abdceda8e1c40005df27f8d4',1,'NESoftmaxLayerKernel.cpp']]],
   ['declare_5fneon_5fvec_5ftype',['DECLARE_NEON_VEC_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#af743beb1ad23bceb05b4eeb3e491839c',1,'NESoftmaxLayerKernel.cpp']]],
   ['deconvolution_5finfo',['deconvolution_info',['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#ae304796bd723ec2b2d50b88236498bd1',1,'arm_compute::graph::DeconvolutionLayerNode']]],
-  ['deconvolution_5flayer',['deconvolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a40e377ea8451d7320317ced1b2b687d9',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6e3fca6996ef6ceb9d94cd23389cd537',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;weights, const SimpleTensor&lt; int32_t &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad2dbe8fb35f3482d2e038b8a28f25031',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac3cb1b3d19e3cb12db85561dcb19c176',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)']]],
+  ['deconvolution_5flayer',['deconvolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12bc62165f6277d6196148ce46260d1a',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af7af6f74771afcdb9fee7b948afc4af6',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;weights, const SimpleTensor&lt; int32_t &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a402696fc0412e9052f1d30d6331dfdef',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0d2ea6a35e80f768e55935e819912505',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)']]],
   ['deconvolution_5flayer_2ecl',['deconvolution_layer.cl',['../deconvolution__layer_8cl.xhtml',1,'']]],
   ['deconvolution_5foutput_5fdimensions',['deconvolution_output_dimensions',['../namespacearm__compute.xhtml#a49d307dcc8f16084a061e1b6e8140eb7',1,'arm_compute']]],
   ['deconvolution_5fupsample',['deconvolution_upsample',['../deconvolution__layer_8cl.xhtml#ad247ccd3e1ca89af642c2b453db71dce',1,'deconvolution_layer.cl']]],
@@ -70,17 +72,25 @@
   ['decorate',['decorate',['../classarm__compute_1_1logging_1_1_i_decorator.xhtml#af7e99677086f647b50a1b4e4248f78f6',1,'arm_compute::logging::IDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_string_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::StringDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_date_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::DateDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_thread_id_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::ThreadIdDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_log_level_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::LogLevelDecorator::decorate()']]],
   ['default',['Default',['../structarm__compute_1_1_i_o_format_info.xhtml#a36c28b28da4e04d698d6b598fb1eaca6a7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::IOFormatInfo::Default()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::graph::Default()'],['../namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::graph::Default()']]],
   ['default_5finit',['default_init',['../classarm__compute_1_1_c_l_scheduler.xhtml#a46ecf9ef0fe80ba2ed35acfc29856b7d',1,'arm_compute::CLScheduler::default_init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a19bb5002a62b62e050e89c975f7b9fdf',1,'arm_compute::GCScheduler::default_init()']]],
+  ['default_5finit_5fwith_5fcontext',['default_init_with_context',['../classarm__compute_1_1_c_l_scheduler.xhtml#aa1ab77c1da6b5a6da2e1957352985c8c',1,'arm_compute::CLScheduler']]],
   ['default_5fndrange',['default_ndrange',['../classarm__compute_1_1_c_l_kernel_library.xhtml#adb48a1da7dc6b6f3c1a424d21e1ac1f8',1,'arm_compute::CLKernelLibrary']]],
   ['default_5fvalidate',['DEFAULT_VALIDATE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#aafb2ac305c1cfb580f29d538687f1fb5',1,'PixelWiseMultiplication.cpp']]],
   ['default_5fvisit',['default_visit',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml#a78d9695424cce30cc0465770427fab06',1,'arm_compute::graph::DefaultNodeVisitor::default_visit()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#af62b93bea1e98919a10bf65eb71f9fce',1,'arm_compute::graph::DotGraphVisitor::default_visit()']]],
   ['defaultnodevisitor',['DefaultNodeVisitor',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml',1,'arm_compute::graph']]],
+  ['define_5fkernel',['DEFINE_KERNEL',['../comparisons_8cl.xhtml#ae9c11d005e6e6db7e1a736f07ed32bd7',1,'comparisons.cl']]],
+  ['define_5fkernel_5fquantized',['DEFINE_KERNEL_QUANTIZED',['../comparisons_8cl.xhtml#a8ed8f939def9689f1ecfe79740f5fd2f',1,'comparisons.cl']]],
+  ['define_5fkernel_5fquantized_5fstr',['DEFINE_KERNEL_QUANTIZED_STR',['../comparisons_8cl.xhtml#ac3bebd1fe5a5382f50c4b15d2d551b70',1,'comparisons.cl']]],
+  ['define_5fkernel_5fstr',['DEFINE_KERNEL_STR',['../comparisons_8cl.xhtml#a09a9348f4f03ddf2d08ae98bb8d0418b',1,'comparisons.cl']]],
   ['delta_5fbilinear_5fc1',['delta_bilinear_c1',['../namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5',1,'arm_compute']]],
+  ['delta_5fbilinear_5fc1_5fquantized',['delta_bilinear_c1_quantized',['../namespacearm__compute.xhtml#ad863f23e0037a10bacad6c483ab4e663',1,'arm_compute']]],
   ['delta_5flinear_5fc1_5fx',['delta_linear_c1_x',['../namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287',1,'arm_compute']]],
   ['delta_5flinear_5fc1_5fy',['delta_linear_c1_y',['../namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52',1,'arm_compute']]],
-  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; T1 &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87c420d7f8a98dead76b0b32b2df6777',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa23e45fa7a8f9f196704d4473721d6ab',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af5201f074018073904e418e8e241ae1c',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a109ffc40641c411b40d1ce2d50a771da',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; float &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9dbe0d0e52cf797820d0d2baddf86dd4',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; half &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]],
+  ['deprecated_20list',['Deprecated List',['../deprecated.xhtml',1,'']]],
+  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad688ebbad23789a6c0ce37abcdf81eb2',1,'arm_compute::test::validation::depth_convert()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; T1 &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a97ffa19c49dbe0b8d0e47b0ab15c51dd',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acad5a5cf179151895a976da050f213f4',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae8d5666de9f1ea545436d8dd3dac7b8a',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a968f4da89a68d28ad39d8e39d8d19f93',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6b297a6ebf043fe0f8b2ad99a3d12062',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint32_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2790b7ea17fe89ea8befa5a0c657f4ae',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int32_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac0a3b5445ea9e2835f0c0321a0afe9b1',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; half &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4f6b2f51f5c49ae3d358f65246581656',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; float &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]],
   ['depth_5fconvert_2ecl',['depth_convert.cl',['../depth__convert_8cl.xhtml',1,'']]],
+  ['depth_5fmultiplier',['depth_multiplier',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a88e38a50a2e964b19521fe8f2e9a144f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode']]],
   ['depth_5foutput_5fgemm3d',['depth_output_gemm3d',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#abbd888f118c2209bf7578eb4f8942a07',1,'arm_compute::GEMMReshapeInfo::depth_output_gemm3d()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#abbd888f118c2209bf7578eb4f8942a07',1,'arm_compute::GEMMInfo::depth_output_gemm3d()']]],
-  ['depthconcatenate_5flayer',['depthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaca2b6bea6bd88fd39489d1104497330',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a61adbb26afef180f6be269f4158c7379',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a998bf347ddc146fb533250b9ef9ce927',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8a116b530186cf21c5f6c7da7acbd178',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs)']]],
+  ['depthconcatenate_5flayer',['depthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4e15b670980db455ad07397b2c34b610',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs, SimpleTensor&lt; T &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae87f24b80ddc830b9911fcba89004686',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs, SimpleTensor&lt; uint8_t &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab620d10e96dbaf31989ff11b490deef9',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs, SimpleTensor&lt; float &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a822ab49e0fc97c2687bb92c079ebf1f1',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs, SimpleTensor&lt; half &gt; &amp;dst)']]],
   ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../benchmark_2_c_l_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depth_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthconcatenatelayer_2eh',['DepthConcatenateLayer.h',['../_depth_concatenate_layer_8h.xhtml',1,'']]],
   ['depthconcatsubtensormutator',['DepthConcatSubTensorMutator',['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml',1,'arm_compute::graph']]],
@@ -94,13 +104,14 @@
   ['depthwise_5fconvolution_5fmethod_5fhint',['depthwise_convolution_method_hint',['../structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a67ede056be3dfba6dfbb934a1b96661e',1,'arm_compute::graph::frontend::StreamHints']]],
   ['depthwise_5fconvolution_5fquantized_2ecl',['depthwise_convolution_quantized.cl',['../depthwise__convolution__quantized_8cl.xhtml',1,'']]],
   ['depthwise_5fseparable_5fconvolution_5flayer',['depthwise_separable_convolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a71dcbc5f08da9ae1a8981746d7a62322',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;depthwise_weights, const SimpleTensor&lt; T &gt; &amp;depthwise_biases, const TensorShape &amp;depthwise_out_shape, const SimpleTensor&lt; T &gt; &amp;pointwise_weights, const SimpleTensor&lt; T &gt; &amp;pointwise_biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;depthwise_conv_info, const PadStrideInfo &amp;pointwise_conv_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0c7524d5bce923f96be77f49e1da3913',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;depthwise_weights, const SimpleTensor&lt; float &gt; &amp;depthwise_biases, const TensorShape &amp;depthwise_out_shape, const SimpleTensor&lt; float &gt; &amp;pointwise_weights, const SimpleTensor&lt; float &gt; &amp;pointwise_biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;depthwise_conv_info, const PadStrideInfo &amp;pointwise_conv_info)']]],
-  ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml',1,'DepthwiseConvolutionLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a36e83ad4becd0b24268a048413726f49',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::DepthwiseConvolutionLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8',1,'arm_compute::graph::DepthwiseConvolutionLayer()']]],
+  ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml',1,'DepthwiseConvolutionLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a2f254b05eaf14736eefb3c25f3f7e0ac',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::DepthwiseConvolutionLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8',1,'arm_compute::graph::DepthwiseConvolutionLayer()']]],
   ['depthwiseconvolutionlayer_2ecpp',['DepthwiseConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depthwise_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthwiseconvolutionlayer_2eh',['DepthwiseConvolutionLayer.h',['../_depthwise_convolution_layer_8h.xhtml',1,'']]],
-  ['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml',1,'DepthwiseConvolutionLayerNode'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a81b796571a2ba1e36d6f97fa9c3b4c39',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::DepthwiseConvolutionLayerNode()']]],
+  ['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml',1,'DepthwiseConvolutionLayerNode'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a5af26ae4aa6a30cb24bba73be6b9d975',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::DepthwiseConvolutionLayerNode()']]],
   ['depthwiseconvolutionlayernode_2ecpp',['DepthwiseConvolutionLayerNode.cpp',['../_depthwise_convolution_layer_node_8cpp.xhtml',1,'']]],
   ['depthwiseconvolutionlayernode_2eh',['DepthwiseConvolutionLayerNode.h',['../_depthwise_convolution_layer_node_8h.xhtml',1,'']]],
   ['depthwiseconvolutionmethod',['DepthwiseConvolutionMethod',['../namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f',1,'arm_compute::graph']]],
+  ['depthwiseconvolutionreshapeinfo',['DepthwiseConvolutionReshapeInfo',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml',1,'arm_compute']]],
   ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['depthwiseseparableconvolutionlayer_2eh',['DepthwiseSeparableConvolutionLayer.h',['../_depthwise_separable_convolution_layer_8h.xhtml',1,'']]],
   ['dequantization_5flayer',['dequantization_layer',['../dequantization__layer_8cl.xhtml#a60e9b00d30a2743653c1f589e33467b9',1,'dequantization_layer():&#160;dequantization_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab77dd3bd732636010753d8080608cd3c',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;min_max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6633ef7fc0852265b2f158a5ef7ae900',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;min_max)']]],
@@ -116,8 +127,16 @@
   ['description',['description',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::description()']]],
   ['descriptor',['descriptor',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a27295b82a57124dd502fbe8cebe8f9ca',1,'arm_compute::ICLHOG::descriptor()'],['../classarm__compute_1_1_i_h_o_g.xhtml#afc824305b2eaceab36baf5b66a535316',1,'arm_compute::IHOG::descriptor()'],['../classarm__compute_1_1_h_o_g.xhtml#a27295b82a57124dd502fbe8cebe8f9ca',1,'arm_compute::HOG::descriptor()'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::test::CLHOGAccessor::descriptor()'],['../classarm__compute_1_1test_1_1_i_h_o_g_accessor.xhtml#afc824305b2eaceab36baf5b66a535316',1,'arm_compute::test::IHOGAccessor::descriptor()'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::test::HOGAccessor::descriptor()']]],
   ['descriptor_5fsize',['descriptor_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a2a347c64540c1d48a579f830ddff622f',1,'arm_compute::HOGInfo']]],
+  ['detection_5foutput_5finfo',['detection_output_info',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf',1,'arm_compute::graph::DetectionOutputLayerNode']]],
   ['detection_5fwindow_5fsize',['detection_window_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a7cbda2c789c461237f0c6eaee8f8cd2a',1,'arm_compute::HOGInfo']]],
   ['detection_5fwindows_5fnon_5fmaxima_5fsuppression',['detection_windows_non_maxima_suppression',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20',1,'arm_compute::test::validation::reference']]],
+  ['detectionoutputaccessor',['DetectionOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml',1,'DetectionOutputAccessor'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(const std::string &amp;labels_path, std::vector&lt; TensorShape &gt; &amp;imgs_tensor_shapes, std::ostream &amp;output_stream=std::cout)'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a9d991af8ac7b4f3379daebd90fd33e58',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(DetectionOutputAccessor &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ad844e13f53bb8d546007d0607445e966',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(const DetectionOutputAccessor &amp;)=delete']]],
+  ['detectionoutputlayer',['DetectionOutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml',1,'DetectionOutputLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#a2d57b417d167d4e46d3cb3bf9e84f08c',1,'arm_compute::graph::frontend::DetectionOutputLayer::DetectionOutputLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ae1b0b91c003f871664a4e289977ef02e',1,'arm_compute::graph::DetectionOutputLayer()']]],
+  ['detectionoutputlayercodetype',['DetectionOutputLayerCodeType',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830',1,'arm_compute']]],
+  ['detectionoutputlayerinfo',['DetectionOutputLayerInfo',['../classarm__compute_1_1_detection_output_layer_info.xhtml',1,'DetectionOutputLayerInfo'],['../classarm__compute_1_1_detection_output_layer_info.xhtml#aba5c653899ad75de3548b6c60c08939c',1,'arm_compute::DetectionOutputLayerInfo::DetectionOutputLayerInfo()'],['../classarm__compute_1_1_detection_output_layer_info.xhtml#a13f922d9427581021eca1cc48faa431c',1,'arm_compute::DetectionOutputLayerInfo::DetectionOutputLayerInfo(int num_classes, bool share_location, DetectionOutputLayerCodeType code_type, int keep_top_k, float nms_threshold, int top_k=-1, int background_label_id=-1, float confidence_threshold=std::numeric_limits&lt; float &gt;::lowest(), bool variance_encoded_in_target=false, float eta=1)']]],
+  ['detectionoutputlayernode',['DetectionOutputLayerNode',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml',1,'DetectionOutputLayerNode'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a747fc2559359c5004e3034a30ec7579c',1,'arm_compute::graph::DetectionOutputLayerNode::DetectionOutputLayerNode()']]],
+  ['detectionoutputlayernode_2ecpp',['DetectionOutputLayerNode.cpp',['../_detection_output_layer_node_8cpp.xhtml',1,'']]],
+  ['detectionoutputlayernode_2eh',['DetectionOutputLayerNode.h',['../_detection_output_layer_node_8h.xhtml',1,'']]],
   ['detections_5fper_5fim',['detections_per_im',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#af3ec399a9e0cea025fa9b37773a6eb13',1,'arm_compute::BoxNMSLimitInfo']]],
   ['detectionwindow',['DetectionWindow',['../structarm__compute_1_1_detection_window.xhtml',1,'DetectionWindow'],['../struct_detection_window.xhtml',1,'DetectionWindow'],['../src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml#a978d6d1943577669ebbb535f9e4f284f',1,'DetectionWindow():&#160;types.h']]],
   ['detectionwindowarray',['DetectionWindowArray',['../namespacearm__compute.xhtml#a5fe01ab895629edd84a511b56657d79e',1,'arm_compute']]],
@@ -129,9 +148,10 @@
   ['dilate_2ecpp',['Dilate.cpp',['../_c_l_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_dilate_8cpp.xhtml',1,'(Global Namespace)']]],
   ['dilate_2eh',['Dilate.h',['../_dilate_8h.xhtml',1,'']]],
   ['dilatedconvolutionlayer_2ecpp',['DilatedConvolutionLayer.cpp',['../_c_l_2_dilated_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_dilated_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['dilation',['dilation',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d',1,'arm_compute::test::validation']]],
   ['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml',1,'Window::Dimension'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a2c532d398a5661ff04367252701fa3d4',1,'arm_compute::Window::Dimension::Dimension()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2',1,'arm_compute::ITensorInfo::dimension(size_t index) const =0'],['../classarm__compute_1_1_i_tensor_info.xhtml#ae3372a4569b4702a881b1606b0c144c4',1,'arm_compute::ITensorInfo::dimension(DataLayoutDimension dimension) const =0'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::SubTensorInfo::dimension(size_t index) const override'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765',1,'arm_compute::SubTensorInfo::dimension(DataLayoutDimension dimension) const override'],['../classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::TensorInfo::dimension(size_t index) const override'],['../classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765',1,'arm_compute::TensorInfo::dimension(DataLayoutDimension dimension) const override']]],
   ['dimensionroundingtype',['DimensionRoundingType',['../namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849a',1,'arm_compute']]],
-  ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml',1,'Dimensions&lt; T &gt;'],['../classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0',1,'arm_compute::Dimensions::Dimensions(Ts... dims)'],['../classarm__compute_1_1_dimensions.xhtml#a0d3c59537291735849c740364496a41c',1,'arm_compute::Dimensions::Dimensions(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8',1,'arm_compute::Dimensions::Dimensions(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a38d1df78f2175f8f38f74d4357ad6a35',1,'arm_compute::gles::NDRange::dimensions()'],['../classarm__compute_1_1_i_distribution.xhtml#a254be7b34cd78d12ffc7ed2aba4882b1',1,'arm_compute::IDistribution::dimensions()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad251169c06da412071bdfb6e92444e6e',1,'arm_compute::IDistribution1D::dimensions()']]],
+  ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml',1,'Dimensions&lt; T &gt;'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a38d1df78f2175f8f38f74d4357ad6a35',1,'arm_compute::gles::NDRange::dimensions()'],['../classarm__compute_1_1_i_distribution.xhtml#a254be7b34cd78d12ffc7ed2aba4882b1',1,'arm_compute::IDistribution::dimensions()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad251169c06da412071bdfb6e92444e6e',1,'arm_compute::IDistribution1D::dimensions()'],['../classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0',1,'arm_compute::Dimensions::Dimensions(Ts... dims)'],['../classarm__compute_1_1_dimensions.xhtml#a0d3c59537291735849c740364496a41c',1,'arm_compute::Dimensions::Dimensions(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8',1,'arm_compute::Dimensions::Dimensions(Dimensions &amp;&amp;)=default']]],
   ['dimensions_2eh',['Dimensions.h',['../_dimensions_8h.xhtml',1,'']]],
   ['dimensions_3c_20int_20_3e',['Dimensions&lt; int &gt;',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
   ['dimensions_3c_20size_5ft_20_3e',['Dimensions&lt; size_t &gt;',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
@@ -158,7 +178,8 @@
   ['distribution1d',['Distribution1D',['../classarm__compute_1_1_distribution1_d.xhtml',1,'Distribution1D'],['../classarm__compute_1_1_distribution1_d.xhtml#a243c829bced69df597b496eb7456efb0',1,'arm_compute::Distribution1D::Distribution1D()']]],
   ['distribution1d_2ecpp',['Distribution1D.cpp',['../_distribution1_d_8cpp.xhtml',1,'']]],
   ['distribution1d_2eh',['Distribution1D.h',['../_distribution1_d_8h.xhtml',1,'']]],
-  ['div',['DIV',['../arithmetic__op_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'DIV():&#160;arithmetic_op.cl'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e7889ab8e84003a7f90aa2a590e1faa',1,'arm_compute::test::validation::div()']]],
+  ['div',['DIV',['../elementwise__operation_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'DIV():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'DIV():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646',1,'arm_compute::DIV()']]],
+  ['div_2eh',['div.h',['../div_8h.xhtml',1,'']]],
   ['div_5fceil',['DIV_CEIL',['../namespacearm__compute.xhtml#acac1575c0edd329ceb4a54d9fe8dcb08',1,'arm_compute']]],
   ['div_5fop',['DIV_OP',['../normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;normalization_layer.cl'],['../pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;pooling_layer_quantized.cl'],['../softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8',1,'DIV_OP():&#160;softmax_layer.cl']]],
   ['div_5fop_5fnhwc',['DIV_OP_NHWC',['../pooling__layer_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711',1,'DIV_OP_NHWC():&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711',1,'DIV_OP_NHWC():&#160;pooling_layer_quantized.cl']]],
@@ -178,6 +199,7 @@
   ['dst',['dst',['../namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4',1,'arm_compute::test::validation']]],
   ['dst_5fpadding',['dst_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#a78ba31dffb7eb7f94cf5821f0092bf67',1,'arm_compute::test::validation']]],
   ['dst_5fvalid_5fregion',['dst_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c697c8d77faa9d6f180635d6509873c',1,'arm_compute::test::validation']]],
+  ['dt',['DT',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#ad73e6ce8150dae7eb9e0d4bdb85f3eea',1,'arm_compute::utils::random::RangedUniformDistribution']]],
   ['dt1',['dt1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a291ba30858ed1dc2a1154ddfcf28eac9',1,'arm_compute::test::validation']]],
   ['dt2',['dt2',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80668d60af0d74d7e9f33bf4a233d695',1,'arm_compute::test::validation']]],
   ['dummy',['dummy',['../structarm__compute_1_1detail_1_1dummy.xhtml',1,'dummy&lt; T, S &gt;'],['../structarm__compute_1_1_c_l_l_k_internal_keypoint.xhtml#aaf67d90c5e431e85ea2b7681537beab9',1,'arm_compute::CLLKInternalKeypoint::dummy()'],['../structarm__compute_1_1_c_l_old_value.xhtml#a7531a17738ce5ec5517e2d160e7508a0',1,'arm_compute::CLOldValue::dummy()'],['../struct_internal_keypoint.xhtml#aaf67d90c5e431e85ea2b7681537beab9',1,'InternalKeypoint::dummy()'],['../structarm__compute_1_1detail_1_1dummy.xhtml#a9459460908c5314f6ea5333a397fea5b',1,'arm_compute::detail::dummy::dummy()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16abcf036b6f33e182d4705f4f5b1af13ac',1,'arm_compute::graph::Dummy()']]],
diff --git a/documentation/search/all_6.html b/documentation/search/all_6.html
index 6afac06..39b0f55 100644
--- a/documentation/search/all_6.html
+++ b/documentation/search/all_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_6.js b/documentation/search/all_6.js
index 197cea7..9960cc4 100644
--- a/documentation/search/all_6.js
+++ b/documentation/search/all_6.js
@@ -1,6 +1,6 @@
 var searchData=
 [
-  ['edge',['Edge',['../classarm__compute_1_1graph_1_1_edge.xhtml',1,'Edge'],['../classarm__compute_1_1graph_1_1_edge.xhtml#ad509007a40c162c72383ed29620e25ca',1,'arm_compute::graph::Edge::Edge()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a0ea47db036b1c140af002ee1494dcb6f',1,'arm_compute::graph::Graph::edge(EdgeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a93f40299c6399505192f5300cda1997c',1,'arm_compute::graph::Graph::edge(EdgeID id)'],['../canny_8cl.xhtml#ac243bfa96aa2c28014159ff098bd2324',1,'EDGE():&#160;canny.cl']]],
+  ['edge',['Edge',['../classarm__compute_1_1graph_1_1_edge.xhtml',1,'Edge'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a0ea47db036b1c140af002ee1494dcb6f',1,'arm_compute::graph::Graph::edge(EdgeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a93f40299c6399505192f5300cda1997c',1,'arm_compute::graph::Graph::edge(EdgeID id)'],['../classarm__compute_1_1graph_1_1_edge.xhtml#ad509007a40c162c72383ed29620e25ca',1,'arm_compute::graph::Edge::Edge()'],['../canny_8cl.xhtml#ac243bfa96aa2c28014159ff098bd2324',1,'EDGE():&#160;canny.cl']]],
   ['edge_2eh',['Edge.h',['../_edge_8h.xhtml',1,'']]],
   ['edgeid',['EdgeID',['../namespacearm__compute_1_1graph.xhtml#abba17a56bbf16c7cbc7acd4aa54abcea',1,'arm_compute::graph']]],
   ['edges',['edges',['../classarm__compute_1_1graph_1_1_graph.xhtml#a1ee4bc06b30fd45b1de82e716fb11bd5',1,'arm_compute::graph::Graph']]],
@@ -32,6 +32,24 @@
   ['element_5fdelim',['element_delim',['../structarm__compute_1_1_i_o_format_info.xhtml#a38c5b617ead74af00cc7957553bd0d66',1,'arm_compute::IOFormatInfo']]],
   ['element_5fsize',['element_size',['../classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103',1,'arm_compute::ITensorInfo::element_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::SubTensorInfo::element_size()'],['../classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::TensorInfo::element_size()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::CLAccessor::element_size()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::GCAccessor::element_size()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103',1,'arm_compute::test::IAccessor::element_size()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::Accessor::element_size()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::SimpleTensor::element_size()']]],
   ['element_5fsize_5ffrom_5fdata_5ftype',['element_size_from_data_type',['../namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0',1,'arm_compute']]],
+  ['elementwise_5foperation_2ecl',['elementwise_operation.cl',['../elementwise__operation_8cl.xhtml',1,'']]],
+  ['elementwise_5foperation_5fquantized_2ecl',['elementwise_operation_quantized.cl',['../elementwise__operation__quantized_8cl.xhtml',1,'']]],
+  ['elementwise_5funary',['elementwise_unary',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12e69cba1811ddfd5e8f113a2019ff49',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; T &gt; &amp;src, ElementWiseUnary op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a66fd17630511434727406aa3b82d5dcc',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; float &gt; &amp;src, ElementWiseUnary op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d3887ce8f104f8438566716431f1f11',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; half &gt; &amp;src, ElementWiseUnary op)']]],
+  ['elementwise_5funary_2ecl',['elementwise_unary.cl',['../elementwise__unary_8cl.xhtml',1,'']]],
+  ['elementwisedivision_2ecpp',['ElementwiseDivision.cpp',['../_elementwise_division_8cpp.xhtml',1,'']]],
+  ['elementwiseexplayer_2ecpp',['ElementwiseExpLayer.cpp',['../_elementwise_exp_layer_8cpp.xhtml',1,'']]],
+  ['elementwisefunction',['ElementwiseFunction',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#aa5fcf9ebe19c4a2282c79ced2ac72096',1,'arm_compute::NEElementwiseOperationKernel']]],
+  ['elementwisemax_2ecpp',['ElementwiseMax.cpp',['../_c_l_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwisemin_2ecpp',['ElementwiseMin.cpp',['../_c_l_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwiseoperations_2ecpp',['ElementwiseOperations.cpp',['../_elementwise_operations_8cpp.xhtml',1,'']]],
+  ['elementwiseoperations_2eh',['ElementwiseOperations.h',['../_elementwise_operations_8h.xhtml',1,'']]],
+  ['elementwisersqrtlayer_2ecpp',['ElementwiseRsqrtLayer.cpp',['../_elementwise_rsqrt_layer_8cpp.xhtml',1,'']]],
+  ['elementwisesquareddiff_2ecpp',['ElementwiseSquaredDiff.cpp',['../_elementwise_squared_diff_8cpp.xhtml',1,'']]],
+  ['elementwisesquarediff_2ecpp',['ElementwiseSquareDiff.cpp',['../_elementwise_square_diff_8cpp.xhtml',1,'']]],
+  ['elementwiseunary',['ElementWiseUnary',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936d',1,'arm_compute']]],
+  ['elementwiseunary_2ecpp',['ElementWiseUnary.cpp',['../_element_wise_unary_8cpp.xhtml',1,'']]],
+  ['elementwiseunary_2eh',['ElementWiseUnary.h',['../_element_wise_unary_8h.xhtml',1,'']]],
+  ['elementwiseunaryfunction',['ElementwiseUnaryFunction',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a1f1d3e1890cb945fc3a5fafbb5d93ec2',1,'arm_compute::NEElementwiseUnaryKernel']]],
   ['eltwise_5foperation',['eltwise_operation',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#acda6687f669fe87581d7bff8fcd82ebc',1,'arm_compute::graph::EltwiseLayerNode']]],
   ['eltwiselayer',['EltwiseLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml',1,'EltwiseLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a9749ff9a2d545bc30f9d432cd20be48d',1,'arm_compute::graph::frontend::EltwiseLayer::EltwiseLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ad1b3837fe6a80018e7002c7f7905439d',1,'arm_compute::graph::EltwiseLayer()']]],
   ['eltwiselayernode',['EltwiseLayerNode',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml',1,'EltwiseLayerNode'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a585b716ff7a4298f47df38792355485a',1,'arm_compute::graph::EltwiseLayerNode::EltwiseLayerNode()']]],
@@ -45,8 +63,9 @@
   ['enable_5fbitwise_5fops_3c_20arm_5fcompute_3a_3agputarget_20_3e',['enable_bitwise_ops&lt; arm_compute::GPUTarget &gt;',['../structarm__compute_1_1enable__bitwise__ops_3_01arm__compute_1_1_g_p_u_target_01_4.xhtml',1,'arm_compute']]],
   ['enable_5ftuner',['enable_tuner',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad2e53638e2c19bbbe968b95f60256cee',1,'arm_compute::utils::CommonGraphParams::enable_tuner()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#afb574a4d09ddbdd9675da603fbad34a4',1,'arm_compute::utils::CommonGraphOptions::enable_tuner()']]],
   ['enabled',['enabled',['../classarm__compute_1_1_activation_layer_info.xhtml#af5a8385102f8f8dd6c5957eac08b04c2',1,'arm_compute::ActivationLayerInfo::enabled()'],['../namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32',1,'arm_compute::graph::Enabled()']]],
+  ['enabler',['enabler',['../namespacearm__compute_1_1utils_1_1requires_1_1detail.xhtml#afa024ebea52a21a5dbbe774795d584ea',1,'arm_compute::utils::requires::detail']]],
   ['end',['end',['../classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59',1,'arm_compute::Dimensions::end()'],['../classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f',1,'arm_compute::Dimensions::end() const'],['../structarm__compute_1_1_valid_region.xhtml#a1cb8fae6eb760594815b62ec5af5eca2',1,'arm_compute::ValidRegion::end()'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a81a5ce41e9f683c2976471668383fc39',1,'arm_compute::utils::iterable::reverse_iterable::end()'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e',1,'arm_compute::Window::Dimension::end()']]],
-  ['end_5flifetime',['end_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a30dd4a5b74434c0720847dcac86cf324',1,'arm_compute::ILifetimeManager::end_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#af1e7074ef17ce8e639b4dbd81f127d3d',1,'arm_compute::ISimpleLifetimeManager::end_lifetime()']]],
+  ['end_5flifetime',['end_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a729cd4a1c76734ae24ca9175cae28b5e',1,'arm_compute::ILifetimeManager::end_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a5eb1cd0eb1bd44c695f7e3a8b65ba000',1,'arm_compute::ISimpleLifetimeManager::end_lifetime()']]],
   ['end_5fposition',['end_position',['../classarm__compute_1_1_window_iterator.xhtml#a3c7e52e385517731c6418cae7bacddc1',1,'arm_compute::WindowIterator']]],
   ['ends',['ends',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a836dbfcb541878d045cac29f9b35d5cb',1,'arm_compute::graph::SliceLayerNode']]],
   ['endswith',['endswith',['../namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17',1,'arm_compute::utility']]],
@@ -64,6 +83,7 @@
   ['enumoption_3c_20loglevel_20_3e',['EnumOption&lt; LogLevel &gt;',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
   ['eps_5fgrid',['EPS_GRID',['../roi__align__layer_8cl.xhtml#adb4f942cbd5a43867c692b026c975faa',1,'roi_align_layer.cl']]],
   ['epsilon',['epsilon',['../structarm__compute_1_1_optical_flow_parameters.xhtml#a2dceb63003a97fa431d06d1d07edc449',1,'arm_compute::OpticalFlowParameters::epsilon()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#acd39aa81617eab4d3482fa904d5dee87',1,'arm_compute::graph::BatchNormalizationLayerNode::epsilon()'],['../_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58',1,'epsilon():&#160;AsymmHelpers.cpp']]],
+  ['equal',['Equal',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5',1,'arm_compute::Equal()'],['../comparisons_8cl.xhtml#a11e1e42f5f3d4770afe593a344b8fc69',1,'EQUAL():&#160;comparisons.cl']]],
   ['equalize_5fhistogram',['equalize_histogram',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a55f81ef18f2e332b0a334693ebd28e37',1,'arm_compute::test::validation::reference::equalize_histogram(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0a74d12efe92f903e988498e186f14f3',1,'arm_compute::test::validation::reference::equalize_histogram(const SimpleTensor&lt; uint8_t &gt; &amp;src)']]],
   ['equalizehistogram_2ecpp',['EqualizeHistogram.cpp',['../benchmark_2_c_l_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)']]],
   ['equalizehistogram_2eh',['EqualizeHistogram.h',['../_equalize_histogram_8h.xhtml',1,'']]],
@@ -106,6 +126,7 @@
   ['error_5fon_5fwindow_5fnot_5fcollapsable_5fat_5fdimension',['error_on_window_not_collapsable_at_dimension',['../namespacearm__compute.xhtml#a4f63a617a4897663b386ba5e1f5cb675',1,'arm_compute']]],
   ['errorcode',['ErrorCode',['../namespacearm__compute.xhtml#a59e56af19e754a6aa26a612ebf91d05f',1,'arm_compute']]],
   ['errors',['ERRORS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57',1,'arm_compute::test::framework']]],
+  ['eta',['eta',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a206472366fc0981d36701fe46679fd8f',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['exacttagtype',['ExactTagType',['../structarm__compute_1_1detail_1_1linear.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::linear::ExactTagType()'],['../structarm__compute_1_1detail_1_1square.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::square::ExactTagType()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::logistic::ExactTagType()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::relu::ExactTagType()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::brelu::ExactTagType()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::lubrelu::ExactTagType()']]],
   ['exacttype',['ExactType',['../structarm__compute_1_1detail_1_1dummy.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::dummy::ExactType()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::linear::ExactType()'],['../structarm__compute_1_1detail_1_1square.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::square::ExactType()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::logistic::ExactType()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::relu::ExactType()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::brelu::ExactType()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::lubrelu::ExactType()'],['../structarm__compute_1_1misc_1_1_c_r_t_p.xhtml#a338528dd60e909145fcb3bbd65e50df6',1,'arm_compute::misc::CRTP::ExactType()']]],
   ['example',['Example',['../classarm__compute_1_1utils_1_1_example.xhtml',1,'arm_compute::utils']]],
@@ -113,15 +134,16 @@
   ['exceptions_2eh',['Exceptions.h',['../_exceptions_8h.xhtml',1,'']]],
   ['exclude_5fborder',['EXCLUDE_BORDER',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a0e65ad13124ea2cb5e255b640464e35fab2b68da4be5fb8de72fb3679df88cf8e',1,'arm_compute::test::PaddingCalculator']]],
   ['exclude_5fpadding',['exclude_padding',['../classarm__compute_1_1_pooling_layer_info.xhtml#a2a5bf4ca18389e1f61f5fac9044a2c85',1,'arm_compute::PoolingLayerInfo']]],
-  ['execute',['execute',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmInterleaved::execute()'],['../classarm__gemm_1_1_gemm_native.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemmNative::execute()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemvBatched::execute()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvNativeTransposed::execute()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvPretransposed::execute()']]],
+  ['execute',['execute',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmHybrid::execute()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmInterleaved::execute()'],['../classarm__gemm_1_1_gemm_native.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemmNative::execute()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemvBatched::execute()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvNativeTransposed::execute()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvPretransposed::execute()']]],
   ['execute_5ffunction',['execute_function',['../classarm__compute_1_1graph_1_1_task_executor.xhtml#af356b3757a26ca474239624e161fb49c',1,'arm_compute::graph::TaskExecutor']]],
   ['execute_5fgraph',['execute_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a4e179588488fda9085167dd70c29ff70',1,'arm_compute::graph::GraphManager']]],
   ['execute_5ftask',['execute_task',['../namespacearm__compute_1_1graph.xhtml#ad9e7501e803a9892419f72540671233f',1,'arm_compute::graph']]],
   ['execute_5fwindow_5floop',['execute_window_loop',['../namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee',1,'arm_compute']]],
   ['executionhelpers_2ecpp',['ExecutionHelpers.cpp',['../_execution_helpers_8cpp.xhtml',1,'']]],
   ['executionhelpers_2eh',['ExecutionHelpers.h',['../_execution_helpers_8h.xhtml',1,'']]],
-  ['executiontask',['ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml',1,'arm_compute::graph']]],
+  ['executiontask',['ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml',1,'ExecutionTask'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#aa79ba1bb93be484a7022b836eafabd88',1,'arm_compute::graph::ExecutionTask::ExecutionTask(std::unique_ptr&lt; arm_compute::IFunction &gt; &amp;&amp;f, INode *n)'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#afb25be12a4800fe31bf8bad6807cb09a',1,'arm_compute::graph::ExecutionTask::ExecutionTask(const ExecutionTask &amp;)=delete'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#aa7d6290d4ca3fe3eb67c41f5ebc9fc3e',1,'arm_compute::graph::ExecutionTask::ExecutionTask(ExecutionTask &amp;&amp;) noexcept=default']]],
   ['executionworkload',['ExecutionWorkload',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml',1,'arm_compute::graph']]],
+  ['exp',['EXP',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da8c670f8c37b95e1ed14a0ce414b049c7',1,'arm_compute']]],
   ['exp_2eh',['exp.h',['../exp_8h.xhtml',1,'']]],
   ['exp_5fbarrel_5fshifter',['EXP_BARREL_SHIFTER',['../helpers__asymm_8h.xhtml#ace9ecff421cf885ad2c2d72d87c492cb',1,'helpers_asymm.h']]],
   ['exp_5fbarrel_5fshifter16',['exp_barrel_shifter16',['../helpers__asymm_8h.xhtml#a4bde4cd395697b5d37af5116773f16ed',1,'helpers_asymm.h']]],
@@ -140,9 +162,12 @@
   ['expected_5ffailure_5fregister_5ffixture_5fdata_5ftest_5fcase',['EXPECTED_FAILURE_REGISTER_FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#ab6166845bcdb8aab8d7b349a8b442ccf',1,'Macros.h']]],
   ['expected_5ffailure_5fregister_5ffixture_5ftest_5fcase',['EXPECTED_FAILURE_REGISTER_FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a8b3c06c9e7676202a34f711b1a7625fc',1,'Macros.h']]],
   ['expected_5ffailure_5ftest_5fcase',['EXPECTED_FAILURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#ab2f6de5ffb4b88069f9c0a148b364e25',1,'Macros.h']]],
+  ['explayer_2ecpp',['ExpLayer.cpp',['../_exp_layer_8cpp.xhtml',1,'']]],
   ['extend_5fpadding',['extend_padding',['../classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66',1,'arm_compute::ITensorInfo::extend_padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc',1,'arm_compute::SubTensorInfo::extend_padding()'],['../classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc',1,'arm_compute::TensorInfo::extend_padding()']]],
   ['extensions',['extensions',['../structarm__compute_1_1_c_l_device_options.xhtml#abef4847a92d106d9823082b7364c4955',1,'arm_compute::CLDeviceOptions']]],
   ['extract_5faccessor',['extract_accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a0cec440e0579d01d55a4e194f1c7178c',1,'arm_compute::graph::Tensor']]],
+  ['extract_5fbounding_5fboxes_5ffrom_5ftensor',['extract_bounding_boxes_from_tensor',['../namespacearm__compute.xhtml#a5196b5248c3c12035174abb6c85ba093',1,'arm_compute']]],
+  ['extract_5fscores_5ffrom_5ftensor',['extract_scores_from_tensor',['../namespacearm__compute.xhtml#a0ed6c4009303a6e319eb9e0519124b00',1,'arm_compute']]],
   ['extract_5fshape',['extract_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#acb3f0c947411cfe1d8c5f67af2cad851',1,'arm_compute::misc::shape_calculator::extract_shape(T *data)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#af79493c6c07a3eb2b3a27712221b66b8',1,'arm_compute::misc::shape_calculator::extract_shape(ITensorInfo *data)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae7f0e5491e0f43e371f7db047a03dd4c',1,'arm_compute::misc::shape_calculator::extract_shape(const TensorShape *data)']]],
   ['extract_5fsubregion',['extract_subregion',['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a000cbaa76e2cb0ae0aeee0b95b6470b7',1,'arm_compute::ICLMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_g_c_buffer_memory_region.xhtml#a0e4a97cc88986a71da44362a6e4adcf6',1,'arm_compute::GCBufferMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_i_memory_region.xhtml#ae883a66f44b3d41635c4a75cab7dacfb',1,'arm_compute::IMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_memory_region.xhtml#aa09a1dba8208c55ec9dd21ce4d4359a5',1,'arm_compute::MemoryRegion::extract_subregion()']]]
 ];
diff --git a/documentation/search/all_7.html b/documentation/search/all_7.html
index de19107..9cd0196 100644
--- a/documentation/search/all_7.html
+++ b/documentation/search/all_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_7.js b/documentation/search/all_7.js
index 3e332c0..33924f6 100644
--- a/documentation/search/all_7.js
+++ b/documentation/search/all_7.js
@@ -25,6 +25,7 @@
   ['fill_5farray',['fill_array',['../namespacearm__compute_1_1test.xhtml#ac35e7a1ad467f5fe8620cbbc5793d53b',1,'arm_compute::test']]],
   ['fill_5fborder_2ecl',['fill_border.cl',['../fill__border_8cl.xhtml',1,'']]],
   ['fill_5fborders_5fwith_5fgarbage',['fill_borders_with_garbage',['../classarm__compute_1_1test_1_1_assets_library.xhtml#ae139c07ceb794ec059efb92aa4c6fd9d',1,'arm_compute::test::AssetsLibrary']]],
+  ['fill_5fboxes',['fill_boxes',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a6327330393eee13d12234267ab5d19d4',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5fimage',['fill_image',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402',1,'arm_compute::utils::IImageLoader']]],
   ['fill_5fimage_5fborders_5fconstant',['fill_image_borders_constant',['../fill__border_8cl.xhtml#a940413b968167dc2d1a84810d5c99c02',1,'fill_border.cl']]],
   ['fill_5fimage_5fborders_5freplicate',['fill_image_borders_replicate',['../fill__border_8cl.xhtml#af6cd84a2130d14f272c407ce3f01e5ec',1,'fill_border.cl']]],
@@ -35,6 +36,7 @@
   ['fill_5frandom_5ftensor',['fill_random_tensor',['../namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7',1,'arm_compute::utils']]],
   ['fill_5ftensor',['fill_tensor',['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d',1,'arm_compute::utils::NPYLoader']]],
   ['fill_5ftensor_5funiform',['fill_tensor_uniform',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a6bdf347bae60f8b5b4303776cfc48d68',1,'arm_compute::test::AssetsLibrary::fill_tensor_uniform(T &amp;&amp;tensor, std::random_device::result_type seed_offset) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ab419bdd4d1b71e56517cbd99428e3740',1,'arm_compute::test::AssetsLibrary::fill_tensor_uniform(T &amp;&amp;tensor, std::random_device::result_type seed_offset, D low, D high) const']]],
+  ['fill_5ftensor_5funiform_5franged',['fill_tensor_uniform_ranged',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a7fd005cb98921bb25824629d659ea79d',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5ftensor_5fvalue',['fill_tensor_value',['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa13fcfba9d7f0433db83255bd1f0638a',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5ftensors',['fill_tensors',['../namespacearm__compute_1_1test.xhtml#a3594bac8da97eb819a7bf7e02d642ace',1,'arm_compute::test']]],
   ['fill_5fwarp_5fmatrix',['fill_warp_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a91f93e72d55115ffd5c91bf88c94223f',1,'arm_compute::test::validation']]],
@@ -45,11 +47,11 @@
   ['filter_5fwidth',['filter_width',['../namespacearm__compute_1_1test_1_1validation.xhtml#a23a07c975b13e0133e838d850dcf30c5',1,'arm_compute::test::validation']]],
   ['finalize',['finalize',['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4fe26fc31f2479b7c24c6e3640127246',1,'arm_compute::graph::frontend::Stream::finalize()'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a32d626626eee0bc4ade146973f6abb1c',1,'arm_compute::graph::GraphContext::finalize()'],['../optical__flow__pyramid__lk_8cl.xhtml#a0beafe52e6ef0247d036f06bd6da622a',1,'finalize():&#160;optical_flow_pyramid_lk.cl']]],
   ['finalize_5fgraph',['finalize_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#afb8c302dc3cdebfe987751793a9aa4b5',1,'arm_compute::graph::GraphManager']]],
-  ['finalize_5fmemory',['finalize_memory',['../classarm__compute_1_1_memory_group_base.xhtml#a752ae3038e3553906589caf01c418a7b',1,'arm_compute::MemoryGroupBase']]],
+  ['finalize_5fmemory',['finalize_memory',['../classarm__compute_1_1_memory_group_base.xhtml#a2e02f3a65b77943a43daed6f90970abf',1,'arm_compute::MemoryGroupBase']]],
   ['finalize_5fquantization',['finalize_quantization',['../namespacearm__compute.xhtml#a695a8105065167f7e4596d31f23a3573',1,'arm_compute::finalize_quantization(int32x4x4_t &amp;in_s32, int result_fixedpoint_multiplier, int32_t result_shift, int32x4_t result_offset_after_shift_s32, uint8x16_t min_u8, uint8x16_t max_u8)'],['../namespacearm__compute.xhtml#aff311815b306f7885265c103dc0344b9',1,'arm_compute::finalize_quantization(int32x4_t in_s32, int result_fixedpoint_multiplier, int32_t result_shift, int32x4_t result_offset_after_shift_s32, uint8_t min_u8, uint8_t max_u8)']]],
   ['find',['find',['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98',1,'arm_compute::test::TensorCache::find(std::tuple&lt; const std::string &amp;, Format &gt; key)'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a77d062d1fc4b239c215c4534deee8a2f',1,'arm_compute::test::TensorCache::find(std::tuple&lt; const std::string &amp;, Format, Channel &gt; key)']]],
   ['find_5fbackend',['find_backend',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a62aabe90a748206d11150f01899d4bce',1,'arm_compute::graph::backends::BackendRegistry']]],
-  ['find_5fimplementation',['find_implementation',['../namespacearm__gemm.xhtml#a5cca9d5e44ff1724a666ac0a17ea2250',1,'arm_gemm']]],
+  ['find_5fimplementation',['find_implementation',['../namespacearm__gemm.xhtml#a6ec8bb2afab6de2518ca5649cdf9182a',1,'arm_gemm']]],
   ['first_5felement',['first_element',['../classarm__compute_1_1_tensor_accessor.xhtml#ad27053e8c4c5c039419915e9abdf9f63',1,'arm_compute::TensorAccessor']]],
   ['first_5fslice_5fwindow_5f1d',['first_slice_window_1D',['../classarm__compute_1_1_window.xhtml#a54486ab629d17bf891146deb4b616717',1,'arm_compute::Window']]],
   ['first_5fslice_5fwindow_5f2d',['first_slice_window_2D',['../classarm__compute_1_1_window.xhtml#a016fdd5b1c05ce7d06088891a0d36bff',1,'arm_compute::Window']]],
@@ -59,13 +61,13 @@
   ['fixture',['Fixture',['../classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml',1,'arm_compute::test::framework']]],
   ['fixture_2eh',['Fixture.h',['../_fixture_8h.xhtml',1,'']]],
   ['fixture_5fdata_5fsetup',['FIXTURE_DATA_SETUP',['../tests_2framework_2_macros_8h.xhtml#ab10b1385f1891ea74430f2e623b09961',1,'Macros.h']]],
-  ['fixture_5fdata_5ftest_5fcase',['FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a42699a26fbdddf91da4aa58a610bb8a8',1,'FIXTURE_DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1f8bdc666967b22610ba7524cc85612',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28b7052dc7ccce757d1136d18b7efbb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57567d8110f0996b4af4589bb360ca46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ef43942b3e9e81a2c9c7336e293f7f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84fc34f7654197b4595237fb6c3c6310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a592f13c2f473aa13a232c5ca65d3ff49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd70818dddee4d8f421708c9070763b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0cd1232470b4cf0b398db49afdca8a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2506557047fc567afe36237082e85d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc16f69c216561ccfe575ec7f7421171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1593ca319ee1b25c2aa6f7b30c2c43b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a582b3384be5f8e5bb98533dd55c1d9d4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1788ed44fd56453e4836c6a9ac42619b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b033615b2b25008029728d82da1059d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84071decebcb90696f1be0c97f74cc42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39fb33d73c7cc13659cb7c5bcf2c6f1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6af84e6aff8d1f3031a686c7b01071a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70e9a434b0d4e3e45a1c08a971125a31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c0a55a6d5580f082ada392c45d0f07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09e005cb8e52c5e45900c067da73db7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa52346dd7e6765611a14aa7c292c21fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ee90e04dba9c7609a2d40e17ad5bbe1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5684fd635df10ab5b0ebc921a825128b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1554ebfd23600ecc0ed289f1dde62b16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e49d617bdc53b4af911e4998b997273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e995db1d62e98f9de4405b5213c3f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a041b3d048a8053e3979aeee0aa4fc29a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6abac1664b9069e28eb176d657e85ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13e120206c2eeafb681ccf50b441cce9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af68e6bace49e5617947d2768bf4e40aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb34560764243733ab54a07dd85ff96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticSubtractionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f198a134cbb763cf51a59ac77386bf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70180e205f366e446b72ea5439a9284c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27122301a7bb1d74f714ecc6e5f9b2c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad29b2f30f87fb0e854a69e60c932eed5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5385542f37f4595576def4edb45a2ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99d6a74959ee89d87ba28d9d2035a2c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab6407ed9d1edad63ff9aa6fda65517',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11df762107f8b7a64306df64216e182b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a157af9e1f21df8785893e442409a4435',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95fc7b63be2ff6f3fb3dbed72df00114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc070dfe82e8e6f33802197244d1c194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0d034ace5a8afb6e6b452837d6b8a7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4874b25434673c0ad0e496a8a81ea184',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34a98929e295013839f86f1a4beb59a1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32f89330c389d8f44c2a92cabce049ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a74384a2e1442b933aab92cdb476649',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad45bd0ada19a202ff15e9a8f9feb5a75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e5550d35a680258a313e72e44b3203d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ba96a9c1a1a700ccc866ca1e390f49e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a523db289603fee1529173c0d6ee26a51',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b9287376c6bf564fd512abb5a2d25e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d18b645ac6d13b3f3329327477b520c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e4892dabd25b721024f9d6794c543b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780c5932c4ac9f3ac7217a639de7293e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fe1d277b76457e0677aa4e3d805407b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ef73d9e890fd9db081f1ea48f79618',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5fe43cec1fb6be35fb3843967dc00b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add095588c16b6f8987abcea2465028be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ea11644b7100b02b97f2d7ee3cfc49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34c0a5008da4e0be04dca251dda5e5cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b5dcd386c7d06894b0e1fbc7a361834',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08dcc75ee997c823616d2bc1f24dcf6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3ce8fc138e35ce1bccb618d72391c2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9aa00ed562f55c86bc3eccec5071861',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a453ff1f233f3ea0903aa9ca114532e23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e94e0ad899df2722983d6bf14fad939',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b7b313c38e443323a22aa3b71844cd7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ec14cb26a1f3dbfbc35064f1c560bdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58bfa6eef9b6b96ba700945e17afe6c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaa36fbbc0ff89a59ab4457e78cdb775',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69a0491cae54dcb0e5c71044822f7f32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1e48a05b1bd7344b2606f4019bed6a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aafb9dc8b66a877be8a41dfa6a28f1271',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade160e12e71637b74582849fc099c35e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c617b3ec7e1494b6cdad8047b5b3273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8521586924db37099a30c1b87d3eb934',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5657f1d49255f5bd40c7c2b2c62dae1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbd6aec760029a5b72362a032a5b2ea3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7ec2c93af2555cd1aaa09020b004da0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94c44cd7181d6c712a32b4cd57009e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512442267dbe39497a8fa7b4d0bc6ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6351d31c5b83e6e4a22866515233d45',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81dc8e6b7df255fcbda49e292e8f27fb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affd61fcc11e759ec92d62e5e205cc18e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab297f38ccfe37cf1d92f119641d782fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23935728823d9415a2d9c5f24186f611',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a66a66ab8abd864039725ea83c5bec71d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ce606c050836a696fffc84ac783ec2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04652f5f93318a8d732a4c65e7f73701',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89cf1b7355fa156211a69914fdedd70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76148aaa213b4936b344a0ba47138099',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a935223f048d628afc725a4c4bfbd41c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ae2d450c7a17f8df4a0acc9a9cdfd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69dc3241bc8b74b7ec8a9c99912078a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11f6a4e5ec8ac8c89a972e6c886d3266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5e082eaa2f98726e5c2be84063088f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7476e05ad551a83a61ea84aa13eb1f4b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78a48e7613208d076df3ecbf638e6f12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7497106f822bc0bde89ce861589e48dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c1cbaddf69dd6c906f01cd44428086f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cdacdac551f7f6196561a94e03585ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57daaf7258b5943683e69db26fe30080',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c54582b096a853113a920d588537b05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff62bc529c02d1019e7e3e259703ab1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab95b8769af4e83b6505a7cd84d2146a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e458b9923b5741a3474cf5a7ccbdc2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e3f3c7b28e3ee77163ffa512388bcf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1e65935ec05f96da2a57444ddadea7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9813370725100b6c979d064226fca164',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d4a7e956e79d5c14dce76fadd1f26de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aece1feec6647708a0c306b1bea9664a1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88403132c633bbc0256ed08143a47c66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fec374209cb4347ba2f075dbb0acf84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac97a3cdfd92937eebac9645f85fa9c22',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14ee03ceac8612b8dc652deb457f5804',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8b34e56667988d6363ee040035af48e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ababc72e29897ca0c607ee18f1de3a4d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc60209ef18a33c51e61b311575e50d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ebdf4b9b24340aafc62d8999268c1cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cfb6db60ca5e124549676c07bab7e1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acfc27249cdeca350f2083185ebaa4424',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd368e097314e8e8f395386062735f95',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53c9043f8f4e9737a0b46686f4531040',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793bed2d2b9040ee71b9f6e766b9e723',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1a09d783eb40b0b47189bfbada5ea57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05035ea755e01026e33659c4d204049f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6249dd6f4f0ca004ea1e7f1a79a8a0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bde5216c166000b4d51e1ccdd72aa15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a981e51ea5eef1d7f37cfc8460e777a8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b572916009a6ed4ab16ec45c2ac5a2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4b75637afcb1b74911dc4d0fec8b63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf7c5841f5ab8690f1c0bc66bfdaa371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a897b1494f63be9b8d890b1e1943b5fdb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d7b37339681bb0ba073d20e297986f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752fed78c2ff0f507c14e8195263b447',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbac43368bb3ab56bfa71c1426a8c15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace80eb4c481c2173ff5265882c707c1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16e3727b0ac636036f5b51e94e46be46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6071fa03181f2d8213065ae83b644b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54958aecc1789140212d82ed3106f243',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8e03673811ac00ff05078132f8b8024',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5510434e7af2e8da7781a204a79d761e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af671a00f382f82f4b55582227b13f983',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53aef817752b52ca68a92f4b3298ae3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25770f4cff90b6b340470bdec1522105',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99c78532933b39cdec682e70e183e3bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0ce0c5b4288b88872707038d7e8ac5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25138e80d46998e7e77d796f3917cd5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1ee858752ab71a55049279a45b288ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a990dfa00dad4bac41cea70f55c50e045',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25062f28645ac48971b8d3fd9d0a8db9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5594a9e3b431664463f1f6f4f2167c6f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09b82915d2a2b1f85d3eabd3bab52aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa807069810d53263e51a2566c202a218',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a030b1f340de3f883ead57b20edc2fda9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad44a1ec84e753851e70bd9dade03b95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01fd04e3bcea1d0d2748ed4bddbe4b91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToF32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF16toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af02d8c264185e95b8392f5f36b260b76',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToF32Fixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF16toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3168f72a896da924674547ce4f5dfc35',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToF16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toF16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a089508c6f2f7b15d4bf92a9d8f04c1f4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToF16Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toF16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc5c48fd76f7913ed9cd41aef176c4da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec6a1b635c7b96d8b8ec699fa76b8ae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f9864c76c954f48cdcf93baa00bdbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72c21cb2725d2206de5be40ab1656298',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd80019152b001c4a58f04eadf432d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add415c4eaa7a477fe835d6afcdeef755',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad629adf78916c8999640a7f7b6dd365a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7eb22cc3442331805fa2069bf473745',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a041522f20f96411feee284251bc5e107',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce79b439798535e1f39251bbdc00539',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e0670871c84d5d6d5bc29706d834e61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b52364e59e1599f023fb507323940d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dff0f2ffcf97659c3ce51dcc9763380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3c327fd39901fa562ee5b04325091f6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad92ec504388b2f3f1335dd16117aabd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7dc0804de8b0e4a4e0d79a6e3b53465',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0410ce9ce1318beb696eb5529dce4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1cd7335dec744f6c2c62908acb813c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a792e33acb004d8c578ca4ee5a954bbda',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7931ccbaa02a6cd5f19e41ea1fcf8f37',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f68171a06fa54b933f4650fa88615b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada56814c0f5d6f750d7fd2de733e4ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa17523cbb38ff14beabc7dff53ef0d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a98ace6588c7a2dd54bb8008309a70c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e8655d7294909daeb54ae2dc540b6fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab165b0693b29b10a521b2889d311e0ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ef64a9d6936c7fc8a1692d114f29e26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61f5a8c1a5a41e08e9ca5aaf68c7c516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 0) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af07bf1462d49ac540aafd58778a5bd60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2a7c0558edadd58927e2ae718b54c88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74845662fa02c82a23a8228ef7987e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ac3145c64e3da8c03629a16f7cde2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dfc00fec815ec029c78daaa33fc69f9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6c5f3f1be76e0562caaccd39c16ee8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9df7caee77100c13fe1c5cc71abbce8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69bb2d47d4c0bcf839efcc80e9b2f57c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0757217f27a2131fa99747426a2675a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc2b95ba11edcf0fde3a5d9241b770c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29119abd34cb6af8ad52a9cc9dc4380b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6331f78a2f3e946535a3fa73c46eaca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c7ada491af83e6b0263e057cbfd8d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cbdb07675cbd1605aa8d8de0046bf05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdd086d8a6a088acde2e91a617b8fccb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc52775e77fa1060559ec10dee0b665e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFloorFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a6c09a72db979494ed1b4b62db649cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7aa623963a6e535e756f72422e5e15b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f8f584ea77fa1a3cb1ec914f8d566ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a007daaa5561c3e01626aafd3b393fd00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bba67716790382dcd066dfd169b8008',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99834f03a49c7e88285d8ab16ce8ed17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2d618db6f656b145c4832b2dbad83bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c456c3072cd35ccbffa0e33c3707bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0149511565479a9d67455a4e8bd5f186',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9371d17ded1274b9670542c1edd0d669',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e3f60b8736377c40480b346030d482f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc91af1dbd0e33856756a7e4446f76b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a360f00592f57957fba89788a3539267a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e4eec4090b7441d54b42c901689144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af112106bb5915291340b1df7aa829efa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af22bab8701f16b33b342f7a8cbaad975',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1af823ab0a5de9d7ecdf4ac3b830fd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0210fb352b7d0b459b8fa06cd0f72d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74b69b379300aa8228e74445e18faba4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74a9c45574fb389cce1e0c6ed54969ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68c34d9ad7090652085337d405a729e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd76515b3b012e52190d72531537c40',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a600a867df0be522ec459f007eebd08ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4151966085ea8ef844bcd05a660c074e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af65a4c8b34633767deec60ae44632f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c18ae5dcf4f5ac59df56b2188f80a4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69e0db9d6ae5e9bcaf3ab8265846329e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ca34486637e8af800e3454281c4b38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6e3bbf30e292da94aa475bf94b8aa77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6c944dc360d1efc97ebd1171575d8e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a915053eca2fe8b7193255831e6801e79',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5c9d0ee14584d7570f9eb4428aec3ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb31d286f720df7c3d1ef8ab9a169e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab78cdd5e2ca45d8bb91555e78a39df3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af33e1ed6a2fe79e832d6ec28c6f480ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a548514ebc80a8a28cb9217b41a6af628',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36ab3c767fc4ba506f02a432042f3640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab52f21be8f21888edc0d7429ed9103',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680e0cc53dee00a898658809ba9d1ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a9a98550d09ef94d41895b955248b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae53a98011a44c19f1702d68dfc495c5e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18bd77af6e29d7a5dbad7fb330adccc3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88a6fedf61d9c77a3d31d39e0589241e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a07e134c036b2a1d1c6b40b2feed6bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cffa0e3241e209bd45555ec6ab671b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ca0e7f050a0ca835ab43f159789ed02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a510f1f6910ee702cb3238f8518e09667',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad213615f12a2cce2b5811f01b31973b5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af21d987bb26f92f874adfc8dff100fa8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58407d5257bafcaab6f94f1657bcb502',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97c70188841b1214510b684aaea3c033',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae92888bc064d07459081a9c624d797db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcf6e255d25bd3b6dc5cc3821f7dbc0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ca21b2fe5a67cffca8cdd37ae7c1b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac217d5592ae8fbcfc904f1a2a7085893',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad50aff7a15be6a8a3c4d535a260ba8e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82a7dea7dcfa3ac6f421a415399efad7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04af0f9ee366f68a8e53d5e7128a3930',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a247c43fc9a197537426bfdece4a56bac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5b7faf9b9ac20b1983a7a2ed345a8d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d0cb440f6fbbf4443b97ed75fdfcd63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa031ea4ca027b5c2aa3e9b7998d71676',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4a457a9020dcc99f3ad35eb57abee4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb36a1da15d6b541eadbfebcc79a2b81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17e4b2f5f717bcca193e2dd039fd4e4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c7ee60588d3ce2815b4d98662d37ccd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad345e910d6e5d48973c85638d3020c09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5e33c426de1ff657a4aab507236caf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9858e155935f46f989759828d76696a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed31c4dd30c5b31a18aa6bec7fb4b0cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07b92ba1fb6599236c1accbde21a0f75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e07f795abdc267b579e8768d134923c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2391398d95aaadc49fddc3c77d189cf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1337d183c5d8f5e15eb53ea63bf78483',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac24f5bca01f85d0aaff7793ae4ff065b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79273ca792f49600c6485cfa29c27f36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33c7ad45dd1317eb013409ef710daeeb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac39c31f152b46c0d02b6eb4fe4afa194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473c70ef41d7956e3c5545374c7fe97d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a112374c662e4c050d9dbf1691b1d9e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e35666744a3808363928fe7858b807',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b48d3fd09c7bc70b05938ebed5cddb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a70e0ed0d988434feaadf101d04162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a071f2f05a13c504565822a04017eccbe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad777f611870cbbac4c36cd698da288b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b1b15f02403d3152e35979788c3945',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06ff73d34023d56ed7e134af369b1457',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898b6d95a2e1b7c8a3e835433f7637ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a4b11f150ff9cb88cccfb65efdbf194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0232978655898cb0524afa669b59ea8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaa84884069e0d1dc12a9386f1e9df07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f559314ee94f7e19cb613e31aa920ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3f4ab4a5c5018ffd9d99cf7b369a61a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64c3d1d676bc6c2ba622e62a362ed055',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3e3208a529c7485121fe2f7e2a6c3a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75157098594d37e9b364b91187786109',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf1b08a284a63f6380fd3adef0708c3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e5c833baff7a74db52cb3327c497bc0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad772de9ee34af695455918286a852b52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18074dfc1bbdab92f04c1b237a91e71b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a951f0fc437f1981a9df35290872df0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51106824477557cde3c3693d611722ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationToF16Fixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F16)), framework::dataset::make(&quot;DataType2&quot;, DataType::F16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57e64692477752bc5e2c635dadace705',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Scale&quot;, { 1.f, 2.f })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_EVEN)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aceb5db1fb93a3b5b111e749e3e923da8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbecfa884915481c6e78af1813b77e14',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8556e080e0cef15d1d518ccb8399c95e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0e2979c6dbf448095b2d834e4513e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d287582bbdeb32c59c59ac6c59695bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa6816392837c2e8cfeb00b772fc506',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52ba2ce7f6b828eb266ae3e14cc32f38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d1de24b8fe15809b53da096795e8f80',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce944e25ef633b5a555baf93aa5fd69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa271b03444d55bf0cb2f027069e936a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84656baf56e89b1a66de58b3a8f93626',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26dd74365d166bfb75b049d18cfe10d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9afd6b6b6136857091609425c1056ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92d30b2dcef4b22f72d99ab8c4381bee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc073bfd3c9503cf9ab6c06706b1cbd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade5e9a81e517662d3aacccce48d03bc6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea2e698370c2851e88fbd5234fd3a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10964e2e27c0e5219e7cb642f90bcc1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e49a959640a2e5ffa6d6bba0a7bbfec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a7fe0aab7dc2a416556bf6b29154a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35173965ebab7f82fe2b30a1f1150bfb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11be7f70e411b80709403919b692001d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e8788d498826ee2823a0081f9565d97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd9642e1093be3211ddf14279ce20310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70c4f56aa4bb535d8966f36469115760',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc2cc2a00771fad6d48d9da0923e02c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ac8d1c816193ec9da36f66c843d2bf9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::QASYMM8 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae11708df5e23f68be65fd28225e6c996',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac13ab12978261e6bea1ce66e0a70284e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae087253105fff31a5106607625e47a39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fab309fd451e52928163a229f9f13ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, CLROIAlignLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallROIAlignLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6374102eefd1382b1849b5c56078a866',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, CLROIAlignLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallROIAlignLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8947bade73c63590f6bf8e0a61bf0aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9df63907f67cd14c840ca16213a549b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a734ce787f956fe8d8c02c7fea3735e4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bb8acc845c6245e790bd9d758b7df3d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e2b047a93859bf7aede989abcf9a88c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99693a71251f6c35fb7037039f155967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae760d030f100b4997e786fded735db3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87320ee1ea18b1d78eac123f14188ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7465e2e519c84f4dd3604e4b4b0e419',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab927d32efe8faa85f8da762a8f49d16e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4d6c92f58739df7c9f836dac62bb1e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc705d729ccf5e37de224e69505b09f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83e7a9d70231c280d7342e0605aac70d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad648c35287791b9d3994ba86017a8dd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bf9c50e3c77719c09ab55155df49429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aadb9b2fc4ca00463025025a73eaa32c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807cc206fadd82f789acf0fe7437bfa6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1472b5b46961cfef96fe797e496050a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9280a618cce835ac1ec5f08e5677d32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0193468b2c7b02aa1d67b192ef8c220',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87a325d6a85b7cd87b44c7c3dcdbcbce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4df07fed159b3127a6e575a48d05fbe9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c5e00ed6dea6c8723864533ca69eaff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addca159ba95aded4c80f714cfbc0ec05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e765e0db83c0d047b82e547c78e99b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1773da1ec7f37513cda8c31fa6f2f01',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0619901188697a1c53e3e1c2d3ee749e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41b7108b171c01613fd15e876ed1a398',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c1c7902b3272cae0ab6cf1a85f9a63a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03412a3beab8dc27e7405b355f122cf6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1547a6502458340a1d0e7be2e0a35e2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa246e74b5e00e1f5d1d340c0f10b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8fb14e5a8fbe7fe14bff18579fa11fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48da7c37c06cd54b77ecb022a3aa04b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3cbddfe65d4cf806d066eb3a38248cdf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4738de69048aebf8954d231f66a4d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b760c0c74854b6cb612f1312666e72f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSplitFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23c204d95c55898b10d64cba4e591e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35b909896da99858085753417fae8ca4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18996148e9556f6d0fc055a0cb1278a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad34a264e3969b40641fb964dae86b518',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2d04e51e7e0c14c5717bff4bee04538',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af57e9ad191aa88fb9ba5c3c66b86aff6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae14bf7257197c9ef4a3a246c8253d207',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbe8b9b938f5f425c68747e8b1abe87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9963770ee6d49fd29c6410bb8e2a7940',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0b7499904f2b7366e73d668d76eef1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad17f62d331397f138d8982a6b6d7ad23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a452d02ee534fea6b8e3edc0fd809a09e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2817a25eb80a8ecd223600fe532d1ca8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e4a326eb1fd884d9017daec5c36613',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad659c8d4c041cf18b2f618608a919086',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d9523853eb66c09dac14d748b6a831',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af29778163af8950702b1aa81ced0c022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6fc62296f561d146abae01222f228643',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05967331188fb76246fb5121bb1c4e91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a95a2e73d8bd62f6e3de6b71f5a4905',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b30651ba7948c6a8e9dcdd425627be1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad721e00b49d1e517bcb5e4b1d03da7b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0252b1fb4e06f3bb7f21c00c181797b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3107334b0e3527d1393642e796599c81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfdb998a0fa9a06b05bae6ce304492cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f31a4382931e3b13f8b0102f463288',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c360dd5ffc04c3bc6c440b270b3f380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4678e4ba95b38ccd2a2fb97dc5bc925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c311b88b792cf2c5c98585b3e939c0b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dfb2694dae8724b363f115a622c23b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large2DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5c4059df4bbe5df8d9057d7347a9f74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a17316a7b8cafc61633838fb788f916',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77f364f7181fc652389116e6fada0391',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c74bfd3b6fcde5b0b065fa5608b7a8c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae192d52538c7d8489bbea389574efdae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf7b8a27b699b0bbd4f675631aa0853a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b977f1cf3826e736ee3aa61cc3edb5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a9cee2c396c23d125060f1cdb16111d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb47427829a9b7656e48f1201f8cc52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06c6feba12c92f2227d43172e4e3265',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a260df7797684b78568d4767603bca11c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a892d8b9fc754521887c262ae4f51ac61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f50ff4fcd003e311b551fa5f3f8453',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f012e2fd96e59ed93cc08229ac755e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc77ace033c848bfba838ccdb633a5f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3184f0df601b574168a1201fa652d49e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaff9ab16f58b8da7a1b2ffd53d7cb222',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0160887378e483e1ef5a992ce3e9804',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f221d1829a3cb9bd61feaf9c7288b6d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b1e1fb571579d7ef0f74ebca211e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab80c7e8543cde85ad479403df90251c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63c5de7c8f3e4b6563104d283450e4bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14cd9fed38907201e44754dc44fb3526',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37962cf9a52ad48cebfd032a2d65a648',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0f08163c7d79c5b3d1ac6b78f430a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac339b39da4d5ce81a83997f373e8cf90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a532b59708531ab59feab0930741da27f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18d5313e05886e660c05a2eff3632462',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a679dd530da7cd6778af69d204fdc55',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe97ea58dc125ecd4a37cb73f939d1ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c988eede4f54327acc9a734e5279b93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a714f047cca9ae9eda8362b86bbe7e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5413145db661372a81553fe70bbc3ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdd2e2d60a1dd984d70599678321246e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e14ff168eaaf39304ab4fac43621de6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01f6c3b1fb408afed8372ed63690234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b0e10d8636f5562b53e9966fdea1fde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2366bfee5018b818194637035931d236',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad71f8e94d4918be2710133e8b6d45a84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20a63bbfb4c6406c18b92d1937ebad2c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8adf07af3c07aeec5fb3ab01b623599e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc72a14447afd1707d3b45adb9050b05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d332e7afe00be67b963b06b918bacec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06aa1c8451fbd94df7f47544bbfb49ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02b2434975e8fed14839430417dc1ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a683e3481bdb893c8e93342e0d387a05a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a869b07e2a8e21f3fcaa5319223739672',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a27ed4995b96ff69c53b218f83d3b19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a16438a34d9908202ec5714d8a2d348',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afbed59b7a5f6918440973d7ad6881f59',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80c5400e7feb231f10cdcd7ba34877e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a066275ce4ecab463781d422c1a788578',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20794930020799dd572d17da0302c26c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b77eeed68bf8da4cb21ca113ae9effc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d41b1c6ad2b8f0cb22382f94a7b4503',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c7f4567b1656997dd4adfa3eec64183',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b8505cd61b7f59a83255e77b0cd6b96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c16e0bd692400a1e0fff6a32463509d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9e41576daa340cbd3a09c39356ff1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bd780ccdf55c42fcff3b76a2e8e7cbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba9699fbb2aa79da973775539f3b2af4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e4321955e51a34bb5c3a8c43a939aa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6acb371889d7143d2cae9bf9e4c6382',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1de3ba987acb5128da1f74d19bf79584',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a654016be6b21c25a09a3e688109aa161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1623a3097c78d071c991afe43dcb424e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6269fef1f458307aa75658d09412e8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c727edca6486e23269f6f1ceb575ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f3eff288805f73b537d32d935698b2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993e6c642f72718836c3d1fa7e1307be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be7216765b624e0c7865474c6fe558d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a629b2babe903990b7ee59718c055dbac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78cb97b044a45f0b8d44ecd61847e08a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a282b9130eb3b3113055717e9c97f94a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24395f328e36502ee999de0c660151dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a188a7f27a2c0dcf6bd7c2a04256e0266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8dddfd1c213af13288e8b1464910f278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a098673e36257d071eb42c31b72bf03e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15cadd1470476644f101753985b04b12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af733d0a3df37d0196dd81fd565561660',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e414bb46026d214905260031109b231',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c38109e4992afecf1325e188de37d58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCScaleFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad56ba736ba5ba45aa629f1d7345ffe7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fc6346cdbe99ab39d14bd6c0adcfd4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e690c4f9c716130a87177aa805fb2c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad74ef4f28598f0e33a4516657bb69bb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac17d735cf83e0f02ab41408918ca400a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f12ab67dacfb8344922d64e3869187f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d09700f5709df048ac95b55881806a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57f54642d89b0b6fb2fe2a966c55dd8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f5466a299c6b3adc7e5c9de207dde24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9d2cfda8e6832a7a2b560e7b9af882d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a018736600ce39485f5bd63792ee44b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9f62aa724db76801f6d1fb84d7d0a93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a114011bf74af871f97266da48879de32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae98a3514846818d9918f156b210c99ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab820e7d57bd3146f6361b7941eccb333',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fc11f4bf81d2e44feb1f010772a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4e20a0282b8c6931ea6ef18452f78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38bff98e63e38c05853a2edfc38c950e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23f87d37d7b8b3de26e9c39484f3c713',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae15c3a7fa4f6dc77f6b4704b4035de57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adca7b4dd084cd6c5de59328d100096ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef5e155991705c6a38795c24b1a0db87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a339538fea0f57854ec46f6b87ce241c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8c81f8cc3065a41588721839ff7db41',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab813c92cd90ff8cb80a49623332d8856',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae84dd2e141003f20877ba04c20918c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae07748d66f8061c7293ca18660e62d90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b0f5be58eb4fedd1c0e73ad666f65e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79c4d35c291fd377ce8ffcebc5046e0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b5bfc55284f997e1e6be0778c4eec0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72d0ffd8d130cb14ec6719a580185d7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d56b273fb6bc539532a775278f332a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae2288febf953164b4ac1cdba33fac29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e496b13b6ed884c2dfbd911cd0ac4f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a621b0cfd76ec055ccb950b54801b4f54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e726b644d0aef1dd61186ab7c92f174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5454ca4d9a7aac50c9b24ab9a0f514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af386ae56908d8fe2e579ce81bcd51888',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac74cc1f71b1aa0905dbc427c7eae718a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ec89b1ed710370a0e82fb692cb7e66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb912054997031e7acbd4168e625bc5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a795970f2612d471c58be736b6bbe7303',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f29f013f83c7914c2742b48ef83ab9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca5fef85f0e64d5a4b1efa3815546981',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993cef76201032b5584ff570d9d85b00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa04fc6a3de23fdcd9cb656d35fb4f281',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094d8c25de292fd36f76f4131726529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34ba8caff7d73197147f7f6cef947f9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60819be7595ff66aa699554f0b7b9762',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f9a1d1709b0b155400e922c6346b5e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b381c0e11d4641305585a59dffd4b1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c6ffa079dade532fe1fffc4a7192fee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a100795fba7ec1bc258969c72d2667662',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c7795cb106db7470f962bfe680dfd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e5c2ec288d121704c2bc4e3fc44a25b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39ef331b5d20b816e8911446c019f67e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4c485af01c9c9c87c4fa8125f84f9c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab073651f3eef1d0d35ea97b4cbbb1a2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae2726aec71ab2e3c7b91badef5f1cda4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4335d3732c2c34d71779398a47598d9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4aed6b27325d89555151d30583635314',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681b3c15ac7a1d58a729c4e06bd37f1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f965edc12ee1e8ab401ae2c99dd3c23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40befd968da005b967469fc65babe6fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c2362218cb60276847790af183f1a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abce97f4881dd2ae2a7a429cc0e1cec85',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a700dac0d33427b99464ed3523384da3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57552e10c37c1063c75b849d17016128',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9db16493d0499b3ebb406ab99bcd3ec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71e4dc1ad40e8713fa2fe1a66cf61c39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae21bc8983b9adc8737576e2310699e46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4bd165642f0765270c78dad4d6b945e0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca43d271095552f4883a92be2337abc5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ff54d21e57451d6754bef2feece54b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a039e8fb510667c391cd2496129f9db72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a766a0a701c75ec56b0dcf7f5718a2055',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fefa49443b86d3aa08f30600b88776d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6722c0c57b4bc8963e689c345dc7d5c3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aacf23a144ca64afb35605048f548e171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9468a6eb3ba9a62694f9c4052cfeabec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a474eff7abde52f8919d360e97a5a6528',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9229aa9b89889d07fec4216173548df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af758f199046ebad58251910e3b277f24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a804ed7aa71bf46eb320b612b0c2d758f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26cef6f0025cdae89b588be2a38a1450',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88b24e968f2b4c4daf9b91c32c0f1a88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1798b345bd3f691eb325ed0c82b3e50e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af37f4db8eb2c59fbeb4be1316e4fba7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a1438be6f65829c9f39f642ae2e4b7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa10eb96ad672536613ab322ea6ddb902',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d5a036df43f6e8b08fb675ef6c21aae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5a043d3c20b597fce7ef4f47f664af7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd0b394c2d80a7b9ac5773c82d8ce9d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b9e6dad43f09d4c5d9af96abb055d0f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8432080b395aafc14ded3acd54101dbb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a964abd83c1891b5d0b719481cd25e670',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb41240c8a8a5dcbe17bc0a5eef7b9c0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06fd5dc4acf00a33cf86adc12a9ac022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad81de498558d044ad38200c44b42ed11',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86ddf0e48d67ffcb623168ea268f83af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a5e26c47514cb15da0493e9b7aaad8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06990b3065fb18d712f157d24d624700',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a649058508183c6f411207dfb519bb981',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28f66c42d812692ad2b793eafae15c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58c5a55504ba341d7f42577f3a694529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d46a2835e58f6bdec18d668358b6dae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee7d650bc059f8cf752b8188a80f5db1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a215e9f428d6042cf896a6378d28c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a234d3ee7abaa081cfaaa79c3c39d515b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8cf961b025ad19bb7a33c3310630c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab335aafdf19f5ee4db752fc8d19cf651',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28d2cc5d04ff5315c274f3399af6239',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fc2b202c6c2094566acc3a9834c7967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5615640d2195ce7a42adde58479af189',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad901b433d9837ccbc813f45da6643a44',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af92744dbe82969aec7e036fd13ae6428',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28c3d4bdd5b08adbcfbd2a65c3921133',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae46d1e403bab2ea29f43ba711da9f71a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6b609505fef5526b0653f086da98e3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c5bc8cced9a7e12c881bca3a565c2ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a858096d6a63a91c8a9ad36fc2d6cc1b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09e77113a6eae93fabf04a17f7a476f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ba5002c3abe00c29ed121456da6bef8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ee4589e93ea3eb2d81572abcb6ea802',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc2ea28e787202a1752ce6d1c438d87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a30b2256d66a274b9ff99d4792f62d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a123f3c9d34e1f279e12afabff2fa2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a312a19a723035c9af5369561c209e9bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addb4ee4373b6c25404dd9bdca479bfdb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae259b03ce6c963da5d83aac6e9270822',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29be6972506ee52c58563be0892050c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e047188643c878ba2814f45c088ac84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86b5e2a8741f3426f9575a59ec59f926',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6aef9b020c5dbe5f5d259824a55bb492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19374bb763a9e982dcfd141d970a82f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac33d475afd5d98999ba54bc159be27b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8003472becf55070b9acdc6ea464bdb6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9112e7bfa1e9361498e84e53686b13f4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5e422971717051d5702eb045269d416',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7de2a0970e70f262ebe9f92ea7283059',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac11505c918eb0c7ecc78b08ce5f68bfc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af740c2dca174a5646e5f080d38c5bd5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdb5c0322f9f4913b34a1d530191b393',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3e9635308882708965279d57acf36d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2912828c04156a03cfbc2104cd17794e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88c92e97243e749c0ba46cc3550703e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimized, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::OptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e29fb173cbf750f21519e96ea1c1504',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c79c6af6b49b8085f4abfd59e5fc11',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f3c36ad44565df7760c61f175ac543b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimized, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::OptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77380f19fffc5978baf99cf01c239736',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf47d2942c58c23e95ed52a373192004',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e420b1b657e0a7b95690eb9b8cf64d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a736be2ec7fc4bca1e4311831255323',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09873d1949491bf8bd980112558c9de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62e1bb9b34535f71f3c27e73e3e4e8f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52aa765d9eb0a5f9189cd7f8ef6d4692',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85be6f9f94ae0f38dd13af6d4e2fdd1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1fa6c21cc8e5bb118403f692a81c56a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af28ab49b5bab61e9ab1d819b2bc076',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc3a85b9d52fe87d03bb1e6654ab1732',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabc0a33d098016c8f438b18581d6ac38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f32_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ad955e77399b81847348a8186e1c3df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f32_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae5a7ef95f8d2e1c6af7fefae6d479fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8f6bccec69685cdee25c444ff892c29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a145f153b6b7d1ad015e2b6d1b7614516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6eb086473521c8c6a2bbb68c3704632',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0269cc469469d5fcc6442414f1f52f7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53a18bca49b1657cb5782f82b5c93725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eb9bb92570911ada4ecd786d5efa55e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72ade4c7941f7fa60108246b9b334d66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a238579da703bc6097512b25055470277',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdb6b6ccb738038e2a2d5027069c0fff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e6031840dd2ee13e3942435811aeea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebe70d0179ffb26d720aac0fe54fbc67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd959c9babbd28ff675c63615d778204',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54280e5b9cfc25d02c0ef4693b5371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afad045c7bea57340a4532a78a6b04e7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5245fa0aa14470e9c661b365648d91d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d2a0247954b6e925131a50bbdb286cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79e1e86a4d4af380674e257bafe5930b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a746741b32c007abd7b1866706882ca5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06410a2b3342ef0d51c93c3345dd6c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad95c94f4a0612e60257d4894537da362',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f8f5f8dca67732536f93a7a8d1b57ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b082d3a9d89e485ae21fb4bfcb9ded6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acacfa792d9ac8cc563f34f192c9fdf7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_S8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff14b2b9d2c0f1013bcbecc88d620a8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_U8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93026a891d0bb12665dbb384891d33d6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d7d4577b68120a68311b290f8a43161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55a1e7349177ab150a3a38d8553633f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a350e7fba54d695617b037438e0b898b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7da696d9c523f45c29c942a0f72b877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45bb19481b889579e877cfafd3709819',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bdd9302efbad44ab382fa8a43ffb73b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e090b82e1cce1d96b3aa4744f80a7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a617ce9fcbf08ceacd60c53f4e454c6df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, NEGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a812b6ff1b40fc45c6378ad2a673dc0b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39b49688c1215778a69d9ac852342fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a0123386e6cfa721be6fc6ac7bd5507',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05381a8d934fca8860431cacb78f48b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa05f45417fa1f04644246b2c64d5faa5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0abbec087553630b76284d3800c79602',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa42dd381882b75e11b8cd4e91e525640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07093aec31e6943b68365996603a2162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a272cffdb5099bc64247c17ac957c9a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a137ffe95a855b8179423f106d35699a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9467bda654317962be9cffa5d4d7eddb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18374814930003651f2e25809e4100d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2aac8fdfbb6aff09c6eecb92bc4c28b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0892a4589aaca322c116b7ccbfadd00d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a400e224c5e2d727654910544a469c2c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ae1dd57105ef480bb4aa1f00d426808',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a769ea1012de6af82d29b3ecaf291a070',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Axis&quot;, { 0 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6db6cdab3b22a7f146cfcea8eabe0114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Axis&quot;, { 0 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c359bc464e9031b30f4b04ea933d950',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51da711ce9190bbbd3ef0ee3866109e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2147d72eef8b4f5143e1edea268f05f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace92772f1e03f70927d051966ba010de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0576bebb3e58638122902d2e4726de9f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125ee4e4c6346b94f367ca20d8b639f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede7dc4d600a8b5e97e99230d5c0eb1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac12a70129dcbf2e7657fbe44e3b6bee2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793635d708ce3c14111e18c0c3c4c1bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab22172b75453f57b458b2089e9e33899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2991a776e7d9afd05ce6c4b62abe630',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dee97faf3f5b0b27bbe0f37753c9f5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a288ea74e2c46321d9243dd0d62c8e789',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2717a3e83eb53f04462a3b678b9b06cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7e5e6e7c39d3fb71e5466ec8c7fb3f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc98e26a94e14dd096065747ea3e8c50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49261d124415dc138dd49ae9c446af7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1daf2796ffd117f6effc98aabd9da3a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae8ca77224eb2240d02268a2722380a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9eae0f8202c35e96131c7cf0261498b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31634f9b24e515cf65f11a0bc48595bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af360ab33f93890070c6cf5fbcfb62d95',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab67ac4d8d15624bd2781ea5809088b3c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65c87118894df44b501efa9738d3dc15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade7af47876ed537de5a3431741d6d234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61e3f050ddc951ac278d4a658d97e0de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1472a19e122cedae0fa4c0a8c7dde29a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaef97d1a414ff109d1556fc7c9158973',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9596411df08af3ea4c3adfc667629544',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac28704730c506164973157659f59fdb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c43b8814463d7188b1056cfe098e968',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3aca7b8dd427c7a78e479e41a7cb6a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a826d3091a4d87dcc412b87bfccd712b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f725602915f9a36862ea6ff4aff925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60fee647a75c9ef766fae0f41d4f14c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa39faa5bc7636a7981279c09204fb4c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45a9fdf5736081ef4cada3c6a13fefd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeef7e78eea6da0668b136ced1176a734',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a3441aa92b954816ec3a2154b6ba1e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05f89ccd037778e4faae08db8a57c3eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac089d4ab2011db4bc96f46c617362c62',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a0f90a41ed20795d362db90913ca42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab38f2668572d3766460002cad2f12063',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9c5149638f83cdec624f15c992a1c87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a8e207b93423f59931b89c0461915ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a869936fe653dfaf2cc28abdda8dad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdc8de20e27ba531bfef776ecdface3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a051d3165eccbd35e75fa2fdb6385d244',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b784b3c67ae875ff7627e3a535dcac8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95230ffbed4068c3da024bec3f27b334',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73a6f7f4d28a884a3bd6831a27a720cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027c9ed250173025e2469ad5d5818c69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a59c6093a849cb44df90025dea3366400',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe68ff0cc80b6d68c2bd56a1dd330514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac52b56b57d9dcfdb12e0df9da3eb5b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaca42ec0ec6459356598dba527eaf06',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed966eb5c0c998ceed6fc0a11dc83848',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64f889f25742c68a48c1deb56c5cb8a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4c3db661cf6a5e3ea00cd46b2b1bb08',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7eb88bebddf28f21dd82fbab03b3911',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf406c3edaf0ceb360c62bd22f34f0b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02d81a1d003c172caca27914a3e88ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681969f1363fe7b3c3fa093ad3e70e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9f34f20d93371d38b959874911b9e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f62c853c2b8e82caf5ad258cf644bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adac4d6412039793c78768a4b19ff5062',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4acf194b4c6177712943efe26984add4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38031f05f899860165e09807a12dbec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d4e5368e3811f133c76b7e0e09b87a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33757b812693b98e83dc457dbebd90e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a022d78b4a28f8e7b80b8bacefaaf9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99b8a099235ff23cb675944e4266233c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a569359576874fed1daf3ea7aa21079bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa58436286af11b3fa02c30d4cf7f4b8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e59d7511e09055d4fae115f37b8329',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada151deb4d02b23f5d42640a555fcb39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29dd396ea81ff2b20d1945cb72b3c58d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32d10d3c62058cc25b4a8240b2c0db70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125347c7f47be6ee9180256b36a6aff3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4d9044681730a00c280a84b61ccdb77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf65afb5f889e8b0645a2c1329c554d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada07f36b299d444952b3d0dcdcb21a47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e992867d9f8049013d8ab3c540fe1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5179d211b87d8c1e650219c9288b2d67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac20f08f84350cec359fd993a89fb2429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35eebecdec6239bcc2f3a645ac037472',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16bef8ca6666ea890dc8cb4d221abab6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a9aeb6c71de03a24bd71c7df97da77a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0620fccea209f1cdbe397a7df703c3e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a118c18b166a5195bb1d67c302e022606',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfc3084245ae1ea417b65ac0bd340e18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a846e80a2ae93606f798085d94842e21e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bf7e6f323df630eb6c25ce6f42a9e53',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed4429269fca49bdfc415fd41270da89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a065f6d5fc454c7f38cefe407efd418b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef878c5ff7772c3e9374c9b275fe3a04',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8254470b103e954dd46db6e61d3b0904',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5a9a6cf4c1d994d6a4c60982aeeb174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99a9607a7159ac9a5af98e1d340f4ab5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac226e287f6da027ac6f233921b12effa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae09ed9ec7e899dfb944b44ba065953c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97f2c612f312fc58926e484211c37dde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc4cec9275d172924b8360d547ffc8f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1edd0c3d8d985788946d0990d2b76645',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb87c625355d20923c9dae126afa559a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2cd1d5c891efd016370b418b5cd0c4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1407b822f91fa6e35c835f823318e1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9aac797d850ef296073aa3a3fd76769d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b7f8dab340a565d82a6c121947dac69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6ae6e4feb2a289bf9a64025bfa9e571',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9837ce267337cee4f6c46c1e25fa88ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af53ab100207675396c546a91a9521311',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38106a98efdc4e8f9ff90339addfd557',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfe24bb2ef8c8ecd4f1188099f35af10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae283c83eb95604027b72e2c96ec3c15d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada3684542231567ddb1bb7762e3ed57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adef9ef7ac03b465bf2b052c432917a02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ad862b84b5de8c66eb2b5a4f7381c10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23e3a57e90973a7fc1089807cda49ac9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b12655db93d875e34d0e7dd78f285bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5beab6e512dd2f8205096e875109492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac36385f651dc7146da8f8cf38dd9aae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0cc9aa2b992d30faa93836f1e5ed5749',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302d5bc9c311e27f605fed818cfe1a3a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaab998da6cd1cdd17563621365bb95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf8b75b2ed7f99e32fead5970ffc287f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5921d4278edecb48a6bea0ec35d0a1a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c022778b396ed59b33bd09c60b9cac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84f6d34d13c1d1047d51dea72fa91f20',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a789c0705a32618491b1283987a0284a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))']]],
+  ['fixture_5fdata_5ftest_5fcase',['FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a42699a26fbdddf91da4aa58a610bb8a8',1,'FIXTURE_DATA_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1f8bdc666967b22610ba7524cc85612',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28b7052dc7ccce757d1136d18b7efbb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57567d8110f0996b4af4589bb360ca46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ef43942b3e9e81a2c9c7336e293f7f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84fc34f7654197b4595237fb6c3c6310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a592f13c2f473aa13a232c5ca65d3ff49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd70818dddee4d8f421708c9070763b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0cd1232470b4cf0b398db49afdca8a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2506557047fc567afe36237082e85d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc16f69c216561ccfe575ec7f7421171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1593ca319ee1b25c2aa6f7b30c2c43b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1788ed44fd56453e4836c6a9ac42619b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b033615b2b25008029728d82da1059d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84071decebcb90696f1be0c97f74cc42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb9ed423c52acceff68a9c4927839e5a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArgMinMaxValidationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa851094369dd694376f5f0cb9d33cc19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArgMinMaxValidationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99445f2ad6eac78f4f228ed8d7af2f73',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39fb33d73c7cc13659cb7c5bcf2c6f1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6af84e6aff8d1f3031a686c7b01071a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70e9a434b0d4e3e45a1c08a971125a31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c0a55a6d5580f082ada392c45d0f07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09e005cb8e52c5e45900c067da73db7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa52346dd7e6765611a14aa7c292c21fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ee90e04dba9c7609a2d40e17ad5bbe1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5684fd635df10ab5b0ebc921a825128b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1554ebfd23600ecc0ed289f1dde62b16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61261e03408a67de3591254e55bf867e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ArithmeticDivisionFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d8d42d7643953d13b4fc97bebc9dc1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a936daa3c3787f800a2d9f040e71c61d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbfe1bc994cfd5589a4d9c3bd5f0212d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05bc6930999633a21742eb1c05c779d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af68e6bace49e5617947d2768bf4e40aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb34560764243733ab54a07dd85ff96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticSubtractionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f198a134cbb763cf51a59ac77386bf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70180e205f366e446b72ea5439a9284c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae3638eb309e9820da09517b9c472ca3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27122301a7bb1d74f714ecc6e5f9b2c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad29b2f30f87fb0e854a69e60c932eed5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5385542f37f4595576def4edb45a2ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99d6a74959ee89d87ba28d9d2035a2c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d2fbcf7aa6319b71a40377f2de2fc36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3dc00bc88656d33686fbb2391b73e86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4a31f2ba6ae1a69845aa352acc16592',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a157af9e1f21df8785893e442409a4435',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95fc7b63be2ff6f3fb3dbed72df00114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc070dfe82e8e6f33802197244d1c194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0d034ace5a8afb6e6b452837d6b8a7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29268c6666492a3d1fbd76d1951bda8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a950024fc6d1a7752166a64697ccfa0da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec90efbefe0efc0c331b097e66cd8b03',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f951b640ab564be9fe821267c0a7081',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b9287376c6bf564fd512abb5a2d25e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d18b645ac6d13b3f3329327477b520c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e4892dabd25b721024f9d6794c543b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780c5932c4ac9f3ac7217a639de7293e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fe1d277b76457e0677aa4e3d805407b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add8103e0bb929134f064567dfb764b18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab150763b7ee038b955305977bf70aa2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22d88af446da0a183ed58e4af7c8e653',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be5a8241db2c0caa1f531fc8f0ea51f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af42d5c4e6b684220360013dbfe53ef58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2cf6bcfe3ae1b4f909a020b839c49524',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6d70e6f42774e3a425b2e6f0dbe298b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a335228622e88fc319dcad1454b517849',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b37acb470b616e72dde15ba2ec92ee6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fb5a163bd879243842df5798ce7e2fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2f5e3e2ebb27a7dce5f6a1abb39b744',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecbb38cec0131fa321fdfe37d6453e6d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a182e173280ff5c93733cbca2ae2989c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a001ffaf08ccae65bf035dbe6bd26722a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f833ade403aac29efc69f17aa40c1e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef8b450e1c51784be1d198c969933fbd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ffb45cd97735ceed9bc791690fcd44c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48222727abe236a9311671ad58369d1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43297d01b90dd80e2f6d3aadfe1b1bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e30d9af2bd04e0ce7773b84e234f725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203cd2dc68898293fe20601fe31f3317',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a346623ed99dfc25b0bdb4766b953b373',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc48078f7fd0b171cf71579030e82dc6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a413e6fb1ce378fff9e30f805e49ff39a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67b7e5e562f29d2d06a7d10d69255877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57ec42eaf472531a41c3b9d8c115dc12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd0bf95b5a2372412d967853e7dcfa39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adea109672516dfda7b2a9af74ddf6932',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a559301755e5eb82b8d3a00b371b1c460',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afab9539f2289075db3b9ed6e5701ed7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4eb7822f60ac7f223c308662e681d656',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370495df5c226b60ed8023e1eeac8b09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82b679ea32e57d17ba8da01a95008e9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8cc97038b6e5ff617b9a9ebdfe21b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a989dc1b650def30aea5b27e361c95155',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89d970c55b6e34dfc31c8e36ec13814',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72714ea937f7b88403c7b5c98ed1b704',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab76a36a7ab756336b21d5781c5a926fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f000fe18a9588a72be70f1365b8e2a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ed7521147c7992d5f65b360cd2812f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abce2052638953287c8aa74b2d7b61347',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acec4d79489aee16fca04612c34e5088d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad430dcee754daa3b53d65ba5172f6f60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34de3937a3d5655fd3908896cac11dc9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36b0a56d72cee86692ae74ac85614e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf316a4154afa2a7c22774c7b7c3759',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac11253aa40c8d827d8353b592774fc5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc746dd489c39be6cf571fd79cb2e825',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe11a362a1613a536f8305746734b495',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedb470ba4b48b380c2da73a724ecefac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb9f9362cf4b0ca4c4882f0341c7a7e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff60cf8033f6e04e17b88bf8f022f53d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc379835850496ed94f061286b0a8f50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac09eebf3050158d2e1527fb0b727dbf1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d6850d3c7a9df9bf1c7103b434616b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84b7ae4336edea79e6b9cecadf82869c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ef73d9e890fd9db081f1ea48f79618',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5fe43cec1fb6be35fb3843967dc00b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ea11644b7100b02b97f2d7ee3cfc49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b5dcd386c7d06894b0e1fbc7a361834',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08dcc75ee997c823616d2bc1f24dcf6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3ce8fc138e35ce1bccb618d72391c2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a453ff1f233f3ea0903aa9ca114532e23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b7b313c38e443323a22aa3b71844cd7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ec14cb26a1f3dbfbc35064f1c560bdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58bfa6eef9b6b96ba700945e17afe6c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaa36fbbc0ff89a59ab4457e78cdb775',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69a0491cae54dcb0e5c71044822f7f32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1e48a05b1bd7344b2606f4019bed6a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aafb9dc8b66a877be8a41dfa6a28f1271',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade160e12e71637b74582849fc099c35e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c617b3ec7e1494b6cdad8047b5b3273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8521586924db37099a30c1b87d3eb934',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5657f1d49255f5bd40c7c2b2c62dae1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbd6aec760029a5b72362a032a5b2ea3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7ec2c93af2555cd1aaa09020b004da0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94c44cd7181d6c712a32b4cd57009e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512442267dbe39497a8fa7b4d0bc6ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6351d31c5b83e6e4a22866515233d45',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81dc8e6b7df255fcbda49e292e8f27fb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affd61fcc11e759ec92d62e5e205cc18e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab297f38ccfe37cf1d92f119641d782fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23935728823d9415a2d9c5f24186f611',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a66a66ab8abd864039725ea83c5bec71d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ce606c050836a696fffc84ac783ec2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04652f5f93318a8d732a4c65e7f73701',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89cf1b7355fa156211a69914fdedd70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76148aaa213b4936b344a0ba47138099',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a935223f048d628afc725a4c4bfbd41c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ae2d450c7a17f8df4a0acc9a9cdfd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69dc3241bc8b74b7ec8a9c99912078a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11f6a4e5ec8ac8c89a972e6c886d3266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f0a0d931af2904a10a1e8ffc1df79f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLComparisonFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a995f5725bb50e598ebc27c7bca208e3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLComparisonFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae699d7551b7730dbf5e52eb684acc9d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLComparisonFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a851a6eff256a89c25e90de1861a27ff4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLComparisonQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8900eb93de4ee5d08fdb9333bd0e68a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7476e05ad551a83a61ea84aa13eb1f4b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2dc317d1b430fc4d6477d4608e195af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7497106f822bc0bde89ce861589e48dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a092e0962c1ff1f0b12e1065690c38f4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cdacdac551f7f6196561a94e03585ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a104a10d36e384472fdbe0afed71e654c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a340e8e6f97293b7ba472dda60e324d5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad38268d73ce464167366eb7c040fbd30',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473f672d62647bb88ff8efd93b68bc38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43bcf2bcfc0fc5ecb1ac6a324bee3fdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adfac73ddd29ceb2d8b90c07749ab2b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae56e8ccc59b9165658842ced766e21ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab59581debfeea11f73528296fc4c485a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe5e0e78a9dd187bc1caa2fbf168c06c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad53b8d93423976287977600d94aec48',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4285021da4d786c03f562fa4e0f8cc0d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f09c78a3f0e1d7760f41b6fe1c0a2e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45772f186df6066362a96cdfca053147',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ae86af1fe618a3e89d65f9c463ca60b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d7b37339681bb0ba073d20e297986f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752fed78c2ff0f507c14e8195263b447',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbac43368bb3ab56bfa71c1426a8c15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace80eb4c481c2173ff5265882c707c1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16e3727b0ac636036f5b51e94e46be46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6071fa03181f2d8213065ae83b644b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54958aecc1789140212d82ed3106f243',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8e03673811ac00ff05078132f8b8024',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5510434e7af2e8da7781a204a79d761e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a026db4f4c50fa2a81191ce2e0b663b89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cce840452216f3260406bd9852e63d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19e1fbe931820770862d454fc05d2f1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d04b987d8740c922911e59e99dd6e6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5f405aa36cb310826eba828ef8faf57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898ea7125dccd916546b496dee227899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a180df147a45a09d8d94d001f7ddbada1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81ae522bb55e9e98e04cd743d0c598e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1fa981e7152b13e75cd0e35d671d948',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3120fc5b8066ae78d487929f54634826',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa04190dac15c7a389c0d1bb1f2aed49c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a2622017f10e2452de0a74607ef7eca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd8709dad580c8178d8335c46adc94cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cfda8a84bbe51b5e958282582481f2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d7103069300d7e690aa463456281e72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd095ad81e0c57600f8c1dc28d358b8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6417bcb2ddc78e5f74b7250a827d7548',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a507999d0b453f38ce772df4381eb6616',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae2035cb9bea94890bdc73681da4f54c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b8a6ea09fa2d6b716658f5e6fa445c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd80019152b001c4a58f04eadf432d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add415c4eaa7a477fe835d6afcdeef755',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b16890f0966c3ddb37b1f4b22e0e624',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f5b4a05ebb82a2685f6364f7c5a4e56',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780baf430312299ec798f436c270fd1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4ad67a43653c96c582d7307be430454',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e0670871c84d5d6d5bc29706d834e61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b52364e59e1599f023fb507323940d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dff0f2ffcf97659c3ce51dcc9763380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3c327fd39901fa562ee5b04325091f6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3eebec77eb52cfb8d65fa2c0f46cf6d7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a487982f238bae622a4d616f3c40abd35',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0410ce9ce1318beb696eb5529dce4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1cd7335dec744f6c2c62908acb813c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a792e33acb004d8c578ca4ee5a954bbda',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7931ccbaa02a6cd5f19e41ea1fcf8f37',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f68171a06fa54b933f4650fa88615b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada56814c0f5d6f750d7fd2de733e4ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa17523cbb38ff14beabc7dff53ef0d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a98ace6588c7a2dd54bb8008309a70c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e8655d7294909daeb54ae2dc540b6fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab165b0693b29b10a521b2889d311e0ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ef64a9d6936c7fc8a1692d114f29e26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61f5a8c1a5a41e08e9ca5aaf68c7c516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 0) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af07bf1462d49ac540aafd58778a5bd60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2a7c0558edadd58927e2ae718b54c88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74845662fa02c82a23a8228ef7987e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ac3145c64e3da8c03629a16f7cde2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dfc00fec815ec029c78daaa33fc69f9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dbf0da7b126e94071b585212021952b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2c47c3f9d9b1578081e46b6478cdefc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e5e4eb448be2d30b789000b79e7a76c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21a1ee860b586f6f45a366acbc6d8a9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a740cb3946164b82663de43246413b9da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7b87830f3fddab6b01ca9d81a972f7f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMaxBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5950374bd86c8e93535e7d1b767aab96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ef2b809ea45bf588bd33642b3076600',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fb03f12a5892548d4ef7e3dc6a7a144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af863a84d5c828b199fad1ffb5a3c33df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8438b034546f24d3d38a7758e6c88abe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d62ab73ac3bb158d5db56e1108c1961',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMinBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae317839458e2acbc4f7887d0d494c19a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22533e516588caec3c4c543e45020f2d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af233e99feaed3b2b855d7326c8cfa46a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a556d5d37e1f877c5897d8b02a9dcb5d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6a65b6e477371b9f1e9494c61e663b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5511cb32e1bddd0776662c31d836b6f3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6c5f3f1be76e0562caaccd39c16ee8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9df7caee77100c13fe1c5cc71abbce8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69bb2d47d4c0bcf839efcc80e9b2f57c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0757217f27a2131fa99747426a2675a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc81fa03be21fb516ebd048fec5295ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLExpLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9ccc4bcf08529885008bb3c64c14487',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLExpLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a952a083b3c53fbdda113138e11e32852',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLExpLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc2b95ba11edcf0fde3a5d9241b770c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29119abd34cb6af8ad52a9cc9dc4380b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6331f78a2f3e946535a3fa73c46eaca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c7ada491af83e6b0263e057cbfd8d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cbdb07675cbd1605aa8d8de0046bf05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdd086d8a6a088acde2e91a617b8fccb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc52775e77fa1060559ec10dee0b665e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFloorFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a6c09a72db979494ed1b4b62db649cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7aa623963a6e535e756f72422e5e15b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f8f584ea77fa1a3cb1ec914f8d566ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a007daaa5561c3e01626aafd3b393fd00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bba67716790382dcd066dfd169b8008',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99834f03a49c7e88285d8ab16ce8ed17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2d618db6f656b145c4832b2dbad83bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c456c3072cd35ccbffa0e33c3707bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc62dbd3658c181220ec0dbe3c45d56f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGatherFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dc70a32e48ce88f4a2c30844a6a9cdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a785ff060eb28bbd416df82b55cf3846f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa35452ded0d1a2c7f966d8ffa3542f7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a634d0e08a9bdcd8c03e496ada5b4c5e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0149511565479a9d67455a4e8bd5f186',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9371d17ded1274b9670542c1edd0d669',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e3f60b8736377c40480b346030d482f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc91af1dbd0e33856756a7e4446f76b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a360f00592f57957fba89788a3539267a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e4eec4090b7441d54b42c901689144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af112106bb5915291340b1df7aa829efa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af22bab8701f16b33b342f7a8cbaad975',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1af823ab0a5de9d7ecdf4ac3b830fd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0210fb352b7d0b459b8fa06cd0f72d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74b69b379300aa8228e74445e18faba4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74a9c45574fb389cce1e0c6ed54969ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68c34d9ad7090652085337d405a729e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd76515b3b012e52190d72531537c40',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a600a867df0be522ec459f007eebd08ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4151966085ea8ef844bcd05a660c074e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af65a4c8b34633767deec60ae44632f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c18ae5dcf4f5ac59df56b2188f80a4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69e0db9d6ae5e9bcaf3ab8265846329e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ca34486637e8af800e3454281c4b38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6e3bbf30e292da94aa475bf94b8aa77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6c944dc360d1efc97ebd1171575d8e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778ea987603760f57d0e1cfd436fedf4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyReshapedFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ca71ae67dfb07fd6eff3d375dd71869',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyReshapedFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a522c198c34952ff17f92bc9e9661a2cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMLowpMatrixMultiplyReshaped3DFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7a020e6734b92173375d4cef3208b7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyReshaped3DFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af54591b23fea44cae059d2af988b0258',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9225de1d4fc977f9215f6635ed8bef43',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c664b9e91f23083569baef6f42bfb5c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a319f5ef31177cc2f424286ee012b5652',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b985e6c7015bc68e840a9ec35059433',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80b57387654113b06ed3e38656e60583',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a618c50a0cdf2cdb1f11edbe6b1ff1da4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dc89a0d99924d2de0cca9ae84d13116',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMReshapeLHSMatrixFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb3cd6d8e64374da98ccf0416b8a2b21',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f2921de265eb7243e97b4c09c6749ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c0c77760e6f3c8ef99dd4f259fd4ab0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2d91cc3977ed13936c0df68c5104909',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMReshapeLHSMatrix3DFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d4ae1bf915b71e3bbd5c871299d2b8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4a0fe88e1be6b1d280a71ce3e76b523',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a361b566db80b9830fd33644f0b06d6f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a722ad232316d3fa90da249368a2d9909',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall0, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fe8d2799a6cb668c68ea5617e4ae081',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eccbcb07c0bc04320d2cf6f20c2e3b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc875680a0ec7d96fa50e95617d91830',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4b65d5fddae4ba85906ee48e961eda7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18587bb5fd5c84294307469567204278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cffb1d9cb2dc0bc65b752b757eef4e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4fffe66bc316bb6753fe1e23537f2a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ade3eb8615128c931acc9cc70b42e7a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9996dc3041480c737df9c4f18001632f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a915053eca2fe8b7193255831e6801e79',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5c9d0ee14584d7570f9eb4428aec3ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb31d286f720df7c3d1ef8ab9a169e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed7e4f56d6f817594d2740466a08d4d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data_precommit), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54ffaf20a1260a6132942abe604ab47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data_nightly), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a548514ebc80a8a28cb9217b41a6af628',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36ab3c767fc4ba506f02a432042f3640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab52f21be8f21888edc0d7429ed9103',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680e0cc53dee00a898658809ba9d1ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a9a98550d09ef94d41895b955248b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae53a98011a44c19f1702d68dfc495c5e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18bd77af6e29d7a5dbad7fb330adccc3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88a6fedf61d9c77a3d31d39e0589241e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26d5203a538111c2727809a323c76d78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dace25299456a9b475d1199f321189d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1ea2472674e81621fdaf007ff6333b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75d37340f793f5bbd622eb31899c1c64',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a485d72c3e35baab0ddd963a676221b90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a949972e2bd97042ff5c70a7736a2c771',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa44154f1ebaf0fc27c22a34614340b67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4724cf454c347d793b09e70ecfd49b2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f8641e8b307b61a137e5405b1c56131',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaad6e6af1abd6b1835c2a4b4618d4c91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab05fa88a2f816dce047f4d47acc276fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e898687b31cb6a50be1a31d6249471b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad50aff7a15be6a8a3c4d535a260ba8e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82a7dea7dcfa3ac6f421a415399efad7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04af0f9ee366f68a8e53d5e7128a3930',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a247c43fc9a197537426bfdece4a56bac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5b7faf9b9ac20b1983a7a2ed345a8d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d0cb440f6fbbf4443b97ed75fdfcd63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa031ea4ca027b5c2aa3e9b7998d71676',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4a457a9020dcc99f3ad35eb57abee4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb36a1da15d6b541eadbfebcc79a2b81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17e4b2f5f717bcca193e2dd039fd4e4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c7ee60588d3ce2815b4d98662d37ccd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad345e910d6e5d48973c85638d3020c09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5e33c426de1ff657a4aab507236caf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9858e155935f46f989759828d76696a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed31c4dd30c5b31a18aa6bec7fb4b0cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07b92ba1fb6599236c1accbde21a0f75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e07f795abdc267b579e8768d134923c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2391398d95aaadc49fddc3c77d189cf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1337d183c5d8f5e15eb53ea63bf78483',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac24f5bca01f85d0aaff7793ae4ff065b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79273ca792f49600c6485cfa29c27f36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33c7ad45dd1317eb013409ef710daeeb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac39c31f152b46c0d02b6eb4fe4afa194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473c70ef41d7956e3c5545374c7fe97d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a112374c662e4c050d9dbf1691b1d9e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e35666744a3808363928fe7858b807',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b48d3fd09c7bc70b05938ebed5cddb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a70e0ed0d988434feaadf101d04162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73c4dcd752bdf6e6c76b293af0d0f3d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b1005817e3e850db979775f8c757030',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09929aa316ea25237bfff2f344f05634',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06ff73d34023d56ed7e134af369b1457',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898b6d95a2e1b7c8a3e835433f7637ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a4b11f150ff9cb88cccfb65efdbf194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0232978655898cb0524afa669b59ea8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaa84884069e0d1dc12a9386f1e9df07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f559314ee94f7e19cb613e31aa920ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad772de9ee34af695455918286a852b52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18074dfc1bbdab92f04c1b237a91e71b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a951f0fc437f1981a9df35290872df0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51106824477557cde3c3693d611722ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationToF16Fixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F16)), framework::dataset::make(&quot;DataType2&quot;, DataType::F16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57e64692477752bc5e2c635dadace705',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Scale&quot;, { 1.f, 2.f })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_EVEN)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aceb5db1fb93a3b5b111e749e3e923da8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbecfa884915481c6e78af1813b77e14',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8556e080e0cef15d1d518ccb8399c95e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0e2979c6dbf448095b2d834e4513e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d287582bbdeb32c59c59ac6c59695bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa6816392837c2e8cfeb00b772fc506',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52ba2ce7f6b828eb266ae3e14cc32f38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d1de24b8fe15809b53da096795e8f80',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce944e25ef633b5a555baf93aa5fd69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa271b03444d55bf0cb2f027069e936a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74828548c6d7881db8eed5fc1cff11a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::U8), unsigned_start_dataset), unsigned_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84656baf56e89b1a66de58b3a8f93626',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26dd74365d166bfb75b049d18cfe10d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9afd6b6b6136857091609425c1056ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92d30b2dcef4b22f72d99ab8c4381bee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc073bfd3c9503cf9ab6c06706b1cbd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7806500eee433ff5462a995f4cb6a1b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0aab658e2a003b73dbed5169f08aa962',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63224c24b007eb0c09df3a09e8f51768',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e49a959640a2e5ffa6d6bba0a7bbfec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a7fe0aab7dc2a416556bf6b29154a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35173965ebab7f82fe2b30a1f1150bfb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11be7f70e411b80709403919b692001d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e8788d498826ee2823a0081f9565d97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd9642e1093be3211ddf14279ce20310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70c4f56aa4bb535d8966f36469115760',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc2cc2a00771fad6d48d9da0923e02c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ac8d1c816193ec9da36f66c843d2bf9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::QASYMM8 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae11708df5e23f68be65fd28225e6c996',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac13ab12978261e6bea1ce66e0a70284e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d6adfde178a3819d59157a62041315a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReverseFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac86d6028b067f9d5db97099ce90756b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc5a90ad65d4938af8998f4e5719509',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef1e4e08752f9daf2ad0a5cb5309ae2d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae087253105fff31a5106607625e47a39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a063de21ebad223bf6b4f82e66fe8a098',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, CLROIAlignLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4708875c795252f25f6bed3b2eb09290',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, CLROIAlignLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b473400778bbfc585b6ae01a588f352',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1fc91ef26e02bc9632ffbd509e894ab9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173b09ce8ebe08fe474f1ad098d5604f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f2050da8dc6401f5c54f2dfff6a94e0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9df63907f67cd14c840ca16213a549b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a734ce787f956fe8d8c02c7fea3735e4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bb8acc845c6245e790bd9d758b7df3d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e2b047a93859bf7aede989abcf9a88c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d96b9ccaa5af74d3a33d86885c4cacf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae760d030f100b4997e786fded735db3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87320ee1ea18b1d78eac123f14188ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7465e2e519c84f4dd3604e4b4b0e419',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea83ebce319bb45e0866b4bfe9a0d06a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5828f3a0c36d29a63fb75b325d4751f3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f8a830a84c6a59f6faef033ae4824d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5caecb3faf70cfa083aa93fa06bd28de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05ef4ae410185c3f92cd322065198810',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c900106f904cdb5c6fc0545fae34a38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab927d32efe8faa85f8da762a8f49d16e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4d6c92f58739df7c9f836dac62bb1e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc705d729ccf5e37de224e69505b09f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83e7a9d70231c280d7342e0605aac70d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad648c35287791b9d3994ba86017a8dd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bf9c50e3c77719c09ab55155df49429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aadb9b2fc4ca00463025025a73eaa32c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807cc206fadd82f789acf0fe7437bfa6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1472b5b46961cfef96fe797e496050a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9280a618cce835ac1ec5f08e5677d32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0193468b2c7b02aa1d67b192ef8c220',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87a325d6a85b7cd87b44c7c3dcdbcbce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4df07fed159b3127a6e575a48d05fbe9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c5e00ed6dea6c8723864533ca69eaff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addca159ba95aded4c80f714cfbc0ec05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e765e0db83c0d047b82e547c78e99b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1773da1ec7f37513cda8c31fa6f2f01',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0619901188697a1c53e3e1c2d3ee749e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41b7108b171c01613fd15e876ed1a398',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c1c7902b3272cae0ab6cf1a85f9a63a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03412a3beab8dc27e7405b355f122cf6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1547a6502458340a1d0e7be2e0a35e2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa246e74b5e00e1f5d1d340c0f10b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8fb14e5a8fbe7fe14bff18579fa11fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48da7c37c06cd54b77ecb022a3aa04b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3cbddfe65d4cf806d066eb3a38248cdf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4738de69048aebf8954d231f66a4d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b760c0c74854b6cb612f1312666e72f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSplitFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23c204d95c55898b10d64cba4e591e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35b909896da99858085753417fae8ca4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a457dd390a99b5422ad608759be6f2c4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4087c01c2a19f9d8b76b2ef3eb1cf82',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f0ef1e1b3eab3dddcfcd078ff82b4f7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede6557ba2a1e67a5f4fc0991962a5ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dce750d1df62bc8634542d7eb3a6001',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7298d6d944879e8266a0699808c18d16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae208c381658d477e839512347cc99fb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad0830cc3b3b83dd4f2d98309eaa894f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e1f7aed5f77048b2dbc0f34348ad378',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab506b7ce1a4eb56426e389eac0696719',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2390251f0429e8d1cc777910d0a807b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f67e11af107d5921030726f688093db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5403250c29fb1d91d1434970bccbbff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18996148e9556f6d0fc055a0cb1278a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad34a264e3969b40641fb964dae86b518',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2d04e51e7e0c14c5717bff4bee04538',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af57e9ad191aa88fb9ba5c3c66b86aff6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae14bf7257197c9ef4a3a246c8253d207',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbe8b9b938f5f425c68747e8b1abe87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9963770ee6d49fd29c6410bb8e2a7940',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0b7499904f2b7366e73d668d76eef1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad17f62d331397f138d8982a6b6d7ad23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a739cf488348138ebd59522db939babf5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTileFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0e530ed5618a7ce4fea09a5f55719a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTileFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaacd63456b1e2dffe01f8fd8ced7981e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTileFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a452d02ee534fea6b8e3edc0fd809a09e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2817a25eb80a8ecd223600fe532d1ca8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad659c8d4c041cf18b2f618608a919086',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af29778163af8950702b1aa81ced0c022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6fc62296f561d146abae01222f228643',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05967331188fb76246fb5121bb1c4e91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a95a2e73d8bd62f6e3de6b71f5a4905',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b30651ba7948c6a8e9dcdd425627be1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad721e00b49d1e517bcb5e4b1d03da7b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0252b1fb4e06f3bb7f21c00c181797b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3107334b0e3527d1393642e796599c81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfdb998a0fa9a06b05bae6ce304492cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f31a4382931e3b13f8b0102f463288',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c360dd5ffc04c3bc6c440b270b3f380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4678e4ba95b38ccd2a2fb97dc5bc925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c311b88b792cf2c5c98585b3e939c0b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dfb2694dae8724b363f115a622c23b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large2DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5c4059df4bbe5df8d9057d7347a9f74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a17316a7b8cafc61633838fb788f916',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38fd9304d3a9b6132844033a8ce0d708',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a23c97b8a62f67fccc4f410d8da9b33',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77f364f7181fc652389116e6fada0391',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c74bfd3b6fcde5b0b065fa5608b7a8c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae192d52538c7d8489bbea389574efdae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b977f1cf3826e736ee3aa61cc3edb5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a9cee2c396c23d125060f1cdb16111d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb47427829a9b7656e48f1201f8cc52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06c6feba12c92f2227d43172e4e3265',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a260df7797684b78568d4767603bca11c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f50ff4fcd003e311b551fa5f3f8453',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f012e2fd96e59ed93cc08229ac755e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fb992b6261c49fa64cee9f703aea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36747868db135bfe6ec2612b950e192',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3551fb034bd6c289e86ef940d49044c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b6a004e53679b47e16620641e6d5c5a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76ba4559fbf955ab5f43bac9e5c979c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5f1a4f1c500cbb5a19b73cebee80b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a510c741b806778da951c9461e400ea66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4306d5a9d8a4719add50ba5be6df069b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86dab0f898d801a593d95623ff272e86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dbffe87f2179ce2814d7b023279115a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a733f89d4143bb9b6823a7f2019842c9d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3d3f69e3800e4033c4442fbc87bcd21',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff759ab62872584f67270633e84e5aed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a777c352be768ee425910acfed9931d93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa18071fe6e7745469937e92be084e8aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7a5c2ad3fc736a6e26d776f62fb53ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adce25b8f486e9fb7a9bd665d0dc748eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8be4116648e92b15bfd506010433bfee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ac58b06396ca30913df4fe49cda47b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e14ff168eaaf39304ab4fac43621de6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01f6c3b1fb408afed8372ed63690234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b0e10d8636f5562b53e9966fdea1fde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac632272d008de57c881acb43d849ca9b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPNonMaxSuppressionFixture, framework::DatasetMode::PRECOMMIT, NMSParametersSmall)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20b32a8ea0b2215fb5de1abdd89e16b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPNonMaxSuppressionFixture, framework::DatasetMode::NIGHTLY, NMSParametersBig)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31fbcbbac4666f02f75f7cb985ef6579',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6eb9028286ed94ae3e5c8459ea790ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ca9141d0bfa2aa02260534bf8916350',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7373e86dd1cf854bb1d269dbb87fdfe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f9981bb651a6a9736901a24219676d7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7660b358562450cb7f7eb2f4423a5862',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06aa1c8451fbd94df7f47544bbfb49ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02b2434975e8fed14839430417dc1ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a683e3481bdb893c8e93342e0d387a05a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a869b07e2a8e21f3fcaa5319223739672',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a27ed4995b96ff69c53b218f83d3b19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5e94073c0983951c11e094c35223037',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_f16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a363621554f7a4ce7171350403d0cb0c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeRandomBatchNormalizationLayerDataset(), data_f32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80c5400e7feb231f10cdcd7ba34877e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a066275ce4ecab463781d422c1a788578',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20794930020799dd572d17da0302c26c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b77eeed68bf8da4cb21ca113ae9effc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d41b1c6ad2b8f0cb22382f94a7b4503',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c7f4567b1656997dd4adfa3eec64183',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b8505cd61b7f59a83255e77b0cd6b96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c16e0bd692400a1e0fff6a32463509d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9e41576daa340cbd3a09c39356ff1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bd780ccdf55c42fcff3b76a2e8e7cbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba9699fbb2aa79da973775539f3b2af4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e4321955e51a34bb5c3a8c43a939aa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6acb371889d7143d2cae9bf9e4c6382',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1de3ba987acb5128da1f74d19bf79584',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a654016be6b21c25a09a3e688109aa161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1623a3097c78d071c991afe43dcb424e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6269fef1f458307aa75658d09412e8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c727edca6486e23269f6f1ceb575ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f3eff288805f73b537d32d935698b2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993e6c642f72718836c3d1fa7e1307be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be7216765b624e0c7865474c6fe558d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a629b2babe903990b7ee59718c055dbac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78cb97b044a45f0b8d44ecd61847e08a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a282b9130eb3b3113055717e9c97f94a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af28bed41af52fb58008d20a97583b317',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1fe16726150e09fd0b2df436a70731e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8dddfd1c213af13288e8b1464910f278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a098673e36257d071eb42c31b72bf03e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15cadd1470476644f101753985b04b12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af733d0a3df37d0196dd81fd565561660',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e414bb46026d214905260031109b231',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c38109e4992afecf1325e188de37d58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCScaleFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad56ba736ba5ba45aa629f1d7345ffe7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fc6346cdbe99ab39d14bd6c0adcfd4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e690c4f9c716130a87177aa805fb2c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad74ef4f28598f0e33a4516657bb69bb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac17d735cf83e0f02ab41408918ca400a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f12ab67dacfb8344922d64e3869187f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d09700f5709df048ac95b55881806a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57f54642d89b0b6fb2fe2a966c55dd8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f5466a299c6b3adc7e5c9de207dde24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9d2cfda8e6832a7a2b560e7b9af882d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a018736600ce39485f5bd63792ee44b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9f62aa724db76801f6d1fb84d7d0a93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a114011bf74af871f97266da48879de32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae98a3514846818d9918f156b210c99ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab820e7d57bd3146f6361b7941eccb333',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fc11f4bf81d2e44feb1f010772a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4e20a0282b8c6931ea6ef18452f78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38bff98e63e38c05853a2edfc38c950e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23f87d37d7b8b3de26e9c39484f3c713',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae15c3a7fa4f6dc77f6b4704b4035de57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adca7b4dd084cd6c5de59328d100096ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef5e155991705c6a38795c24b1a0db87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a339538fea0f57854ec46f6b87ce241c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b28ce6207fab6b19efc82324f41c74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8a7eeef577c6c6d5beac9a318971423',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2876f3fec8873549ee130bcd39c0fd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArgMinMaxQuantizedValidationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07a556458a65c17878c2583df2f6b340',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArgMinMaxQuantizedValidationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8c81f8cc3065a41588721839ff7db41',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab813c92cd90ff8cb80a49623332d8856',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae84dd2e141003f20877ba04c20918c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae07748d66f8061c7293ca18660e62d90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b0f5be58eb4fedd1c0e73ad666f65e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79c4d35c291fd377ce8ffcebc5046e0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b5bfc55284f997e1e6be0778c4eec0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9544b9ff59cb13b9521f472a4cffbb8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72d0ffd8d130cb14ec6719a580185d7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d56b273fb6bc539532a775278f332a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae2288febf953164b4ac1cdba33fac29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e496b13b6ed884c2dfbd911cd0ac4f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a621b0cfd76ec055ccb950b54801b4f54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e726b644d0aef1dd61186ab7c92f174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5454ca4d9a7aac50c9b24ab9a0f514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f1ed97a24192b4f588721bc0f27faa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RandomSmall, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4deb3fa6e4352509d52c43aefdaa283',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RandomLarge, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d5246d37a9ae19360c66f71efc1b1f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a2bb5b486faa0c682206e856bcda11b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa1de70e01038ba111df3ae69b6d81d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2edd1aff4eb0c3c834972bf8113f41d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d00e2c662482aa10ba82b9ac406f396',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094d8c25de292fd36f76f4131726529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34ba8caff7d73197147f7f6cef947f9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60819be7595ff66aa699554f0b7b9762',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f9a1d1709b0b155400e922c6346b5e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b381c0e11d4641305585a59dffd4b1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c6ffa079dade532fe1fffc4a7192fee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c7795cb106db7470f962bfe680dfd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39ef331b5d20b816e8911446c019f67e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab073651f3eef1d0d35ea97b4cbbb1a2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4335d3732c2c34d71779398a47598d9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681b3c15ac7a1d58a729c4e06bd37f1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f965edc12ee1e8ab401ae2c99dd3c23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40befd968da005b967469fc65babe6fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c2362218cb60276847790af183f1a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a700dac0d33427b99464ed3523384da3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9db16493d0499b3ebb406ab99bcd3ec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae21bc8983b9adc8737576e2310699e46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca43d271095552f4883a92be2337abc5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a039e8fb510667c391cd2496129f9db72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fefa49443b86d3aa08f30600b88776d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aacf23a144ca64afb35605048f548e171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a474eff7abde52f8919d360e97a5a6528',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee22bf23cae613d7e1d4468aac54a384',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEComparisonFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa643d294eb56664e86678fbaa5e7dfcd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEComparisonFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fbbc6ba47c9616695a74e49a6006da3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEComparisonQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9229aa9b89889d07fec4216173548df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af758f199046ebad58251910e3b277f24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26cef6f0025cdae89b588be2a38a1450',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0882602497391f7ea2957759bea33e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae97cee943ff46fd29d63955becc9abd0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa23e286208bfcfd0542acb2e3a3cde8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a049ca13927a1331006561d8bc271b2a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f832e08caed0152bcfefc59ab1a2c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d46a2835e58f6bdec18d668358b6dae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee7d650bc059f8cf752b8188a80f5db1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a215e9f428d6042cf896a6378d28c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a234d3ee7abaa081cfaaa79c3c39d515b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8cf961b025ad19bb7a33c3310630c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab335aafdf19f5ee4db752fc8d19cf651',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28d2cc5d04ff5315c274f3399af6239',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fc2b202c6c2094566acc3a9834c7967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5615640d2195ce7a42adde58479af189',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad901b433d9837ccbc813f45da6643a44',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af92744dbe82969aec7e036fd13ae6428',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28c3d4bdd5b08adbcfbd2a65c3921133',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94d21f72977ed23fbc9c0a694d4bf098',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09e77113a6eae93fabf04a17f7a476f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ba5002c3abe00c29ed121456da6bef8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ee4589e93ea3eb2d81572abcb6ea802',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc2ea28e787202a1752ce6d1c438d87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a30b2256d66a274b9ff99d4792f62d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a123f3c9d34e1f279e12afabff2fa2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40d20c55414f101f51f295e3a17346a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerQuantizedToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerQASYMM8toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af13a05bcf6a9ae1841c7fd6bd5fbc659',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerQASYMM8toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fd6f5349d587332e95bd5a2b6a7e590',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cd61f46b301649d311e78770c2b92fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70fea1138041dba48a52aecb42934ee6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47da6f70838d74c07313856701590369',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9c2577204a8c1d367f78122cdcc5c7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd91ebe4cb07dd64c87e758c5c36942a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9a114da0c4cfedaff1c8752d8985ad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecbc9f84d3d7a3fb02d5721294fb6c13',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a882f99ff44ec40f3e0fd424b08ec7685',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0162d6ec6327d51d5885cd589a5d2c0f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1bdc4a70ab7575a4101c4894dc25ac4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b16bdb8af5c8d25cb9ce55cf48f30b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16b15800359985e55e1dc30ca0e2c502',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a638d1efdb7f5896b39e5e2f555ba083d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af24fb08f9369fc922a3b00b55ecdeae9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToQASYMM8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a231caed2436e869e9831e4bd164ae817',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af740c2dca174a5646e5f080d38c5bd5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdb5c0322f9f4913b34a1d530191b393',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3e9635308882708965279d57acf36d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2912828c04156a03cfbc2104cd17794e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d620fd7ab6d7567bc1e7282c18ceceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807b97bf268bd3f62e4130c2fba59f26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e29fb173cbf750f21519e96ea1c1504',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a556543832f6c440befe4350afef94218',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedSmall, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44181e95ded05bc9dfae65e560a129a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77380f19fffc5978baf99cf01c239736',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf47d2942c58c23e95ed52a373192004',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e420b1b657e0a7b95690eb9b8cf64d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a736be2ec7fc4bca1e4311831255323',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09873d1949491bf8bd980112558c9de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62e1bb9b34535f71f3c27e73e3e4e8f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52aa765d9eb0a5f9189cd7f8ef6d4692',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85be6f9f94ae0f38dd13af6d4e2fdd1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1fa6c21cc8e5bb118403f692a81c56a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af28ab49b5bab61e9ab1d819b2bc076',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc3a85b9d52fe87d03bb1e6654ab1732',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae561337cc8bb1a4a20cb02a96073b77d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ad955e77399b81847348a8186e1c3df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f32_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a802d86d0690d1662fe921d0cbf22b296',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acfd0bd108df22d72f7d8cbe148747bb6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094f64d00e0edc24e29491d937e292f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEExpLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5975b287ee1162cbf72c6c3d0a53759',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac77f9e2b239221f68eb6b758a69a2896',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ff4f77afdf6250913b204da84ba4971',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78d0160e680ef164ace1c5eeae4c8396',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d315d475f71efb169360e5a3e6a34ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef4853a5cf35f352884efb830d5c9680',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b088314a449b9906c3dca1425995120',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7537bbf42c3e51f56314b8a2b6d15090',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30647a8ae5ed30e427fe363a464f37fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78e3e5a0be2d9dc8b2c553fc948c6486',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5085fbb4e2cb7bcd0a73d23a77f119f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89c73e2864e97a7c40c932072abd204b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01070b5b14fcf1f8a7a470e7d1a02d8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5dd25eb68a9057a2959d699ee2055298',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabb74b615e3dc6bcaaaa83889739367d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c0efec1f9ab32b14febc1f8fdd69bb3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3930b4c56faa3a82c13f80173628046',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49881776abd59fa083e1b66d03074b2c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae5a7ef95f8d2e1c6af7fefae6d479fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8f6bccec69685cdee25c444ff892c29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a145f153b6b7d1ad015e2b6d1b7614516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6eb086473521c8c6a2bbb68c3704632',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0269cc469469d5fcc6442414f1f52f7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53a18bca49b1657cb5782f82b5c93725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eb9bb92570911ada4ecd786d5efa55e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72ade4c7941f7fa60108246b9b334d66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a238579da703bc6097512b25055470277',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdb6b6ccb738038e2a2d5027069c0fff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e6031840dd2ee13e3942435811aeea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebe70d0179ffb26d720aac0fe54fbc67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd959c9babbd28ff675c63615d778204',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54280e5b9cfc25d02c0ef4693b5371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e979553ba3d6178cf71d30931dba292',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGatherFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a980a57cf5081d712a6075d6602bbb9b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bc85196e47c81fb857b079cd10b0029',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03df83be57f3c54fc94bae8cc9022aec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30bbfdd56bfb0c123267b9d53686ac23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afad045c7bea57340a4532a78a6b04e7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5245fa0aa14470e9c661b365648d91d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d2a0247954b6e925131a50bbdb286cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79e1e86a4d4af380674e257bafe5930b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a746741b32c007abd7b1866706882ca5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06410a2b3342ef0d51c93c3345dd6c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad95c94f4a0612e60257d4894537da362',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f8f5f8dca67732536f93a7a8d1b57ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b082d3a9d89e485ae21fb4bfcb9ded6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acacfa792d9ac8cc563f34f192c9fdf7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_S8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff14b2b9d2c0f1013bcbecc88d620a8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_U8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93026a891d0bb12665dbb384891d33d6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d7d4577b68120a68311b290f8a43161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55a1e7349177ab150a3a38d8553633f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a350e7fba54d695617b037438e0b898b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7da696d9c523f45c29c942a0f72b877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45bb19481b889579e877cfafd3709819',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bdd9302efbad44ab382fa8a43ffb73b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e090b82e1cce1d96b3aa4744f80a7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a617ce9fcbf08ceacd60c53f4e454c6df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, NEGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a812b6ff1b40fc45c6378ad2a673dc0b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39b49688c1215778a69d9ac852342fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a0123386e6cfa721be6fc6ac7bd5507',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05381a8d934fca8860431cacb78f48b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa05f45417fa1f04644246b2c64d5faa5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0abbec087553630b76284d3800c79602',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa42dd381882b75e11b8cd4e91e525640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07093aec31e6943b68365996603a2162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a272cffdb5099bc64247c17ac957c9a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a137ffe95a855b8179423f106d35699a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29782b9f6f653159f72ea116fefd944c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af766c13b011461fa84ff211ba977cd1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55f69c92eea255f3ff356b01efb8edc4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a400e224c5e2d727654910544a469c2c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ae1dd57105ef480bb4aa1f00d426808',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78f88f8fecf8e1ab4c0b08c00e44f0ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6143d11cb3df087ba5d0a21a335baa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c359bc464e9031b30f4b04ea933d950',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51da711ce9190bbbd3ef0ee3866109e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2147d72eef8b4f5143e1edea268f05f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace92772f1e03f70927d051966ba010de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0576bebb3e58638122902d2e4726de9f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125ee4e4c6346b94f367ca20d8b639f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede7dc4d600a8b5e97e99230d5c0eb1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac12a70129dcbf2e7657fbe44e3b6bee2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793635d708ce3c14111e18c0c3c4c1bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab22172b75453f57b458b2089e9e33899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2991a776e7d9afd05ce6c4b62abe630',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dee97faf3f5b0b27bbe0f37753c9f5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a288ea74e2c46321d9243dd0d62c8e789',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2717a3e83eb53f04462a3b678b9b06cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7e5e6e7c39d3fb71e5466ec8c7fb3f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc98e26a94e14dd096065747ea3e8c50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49261d124415dc138dd49ae9c446af7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1daf2796ffd117f6effc98aabd9da3a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae8ca77224eb2240d02268a2722380a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9eae0f8202c35e96131c7cf0261498b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31634f9b24e515cf65f11a0bc48595bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4b65f8a6e4f1ba2e2ecd2d876f37a92',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a91374aa0717559e1a0eb0472d1653ba8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65c87118894df44b501efa9738d3dc15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade7af47876ed537de5a3431741d6d234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbe86cea6f9226b4b19a72abcba4517',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f34ab9cd495b1067572e1a8e1fa4c73',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26912647be60488228c287801c7fdacb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5755a3974ab240459dbbcc549748364f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38e5043d42ed927afc5bb5e31ca1795b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3b4c759fa670f17f91897fa69500485',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22615ad09912b710db264b02b06897fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab24d236496d1b55caad197ec591c8cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31c94981c6840e6732ef3e0d6d1bc292',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dc31a1236231cdfb5c40d990a38ecaa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3aca7b8dd427c7a78e479e41a7cb6a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a826d3091a4d87dcc412b87bfccd712b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f725602915f9a36862ea6ff4aff925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60fee647a75c9ef766fae0f41d4f14c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa39faa5bc7636a7981279c09204fb4c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45a9fdf5736081ef4cada3c6a13fefd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeef7e78eea6da0668b136ced1176a734',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a3441aa92b954816ec3a2154b6ba1e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05f89ccd037778e4faae08db8a57c3eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac089d4ab2011db4bc96f46c617362c62',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a0f90a41ed20795d362db90913ca42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab38f2668572d3766460002cad2f12063',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9c5149638f83cdec624f15c992a1c87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a8e207b93423f59931b89c0461915ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a869936fe653dfaf2cc28abdda8dad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdc8de20e27ba531bfef776ecdface3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a051d3165eccbd35e75fa2fdb6385d244',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b784b3c67ae875ff7627e3a535dcac8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95230ffbed4068c3da024bec3f27b334',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73a6f7f4d28a884a3bd6831a27a720cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027c9ed250173025e2469ad5d5818c69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a59c6093a849cb44df90025dea3366400',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe68ff0cc80b6d68c2bd56a1dd330514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac52b56b57d9dcfdb12e0df9da3eb5b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaca42ec0ec6459356598dba527eaf06',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed966eb5c0c998ceed6fc0a11dc83848',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64f889f25742c68a48c1deb56c5cb8a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4c3db661cf6a5e3ea00cd46b2b1bb08',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7eb88bebddf28f21dd82fbab03b3911',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf406c3edaf0ceb360c62bd22f34f0b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02d81a1d003c172caca27914a3e88ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681969f1363fe7b3c3fa093ad3e70e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9f34f20d93371d38b959874911b9e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f62c853c2b8e82caf5ad258cf644bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adac4d6412039793c78768a4b19ff5062',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae778c61cba6e30d9eb5f2bd39f30a376',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::U8), unsigned_start_dataset), unsigned_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4acf194b4c6177712943efe26984add4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38031f05f899860165e09807a12dbec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d4e5368e3811f133c76b7e0e09b87a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33757b812693b98e83dc457dbebd90e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a405fe8de208409c4aa79da3262c4475a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), Axises), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82ed02b3e2e324930a3eadae6c68701a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), Axises), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add7795c9169d031a565f331bdd9db01a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), Axises), ReductionOperations), QuantizationInfos))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9273d5381917b1f7d6562436d875aa83',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), Axises), ReductionOperations), QuantizationInfos))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e59d7511e09055d4fae115f37b8329',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada151deb4d02b23f5d42640a555fcb39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29dd396ea81ff2b20d1945cb72b3c58d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32d10d3c62058cc25b4a8240b2c0db70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125347c7f47be6ee9180256b36a6aff3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4d9044681730a00c280a84b61ccdb77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf65afb5f889e8b0645a2c1329c554d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada07f36b299d444952b3d0dcdcb21a47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e992867d9f8049013d8ab3c540fe1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae49ad9e516d0152ee995fbfe707d9f49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReverseFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c60a80ece129435b23b15b67c9eebc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReverseFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a83899bc10a0066dd76a4e8821dfab9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReverseFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5179d211b87d8c1e650219c9288b2d67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86d4e83e51ce3c0f66f7113f38a98f59',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ac273b17946f393a00d55ec6e3caf4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31218e07765dc89e569f0c34d363f6a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac043b0f8a5e546c0ef63fb8e98961b3c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfc3084245ae1ea417b65ac0bd340e18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a846e80a2ae93606f798085d94842e21e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1448bbb80cef40371427c1ffb851ba54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESelectFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac150b1a9621654a14533e1cefe3a4d4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESelectFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdfca8306422f71ff23cb2c13df66a4f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESliceFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a655937a932170893d59fc242bd3036f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bf7e6f323df630eb6c25ce6f42a9e53',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed4429269fca49bdfc415fd41270da89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a065f6d5fc454c7f38cefe407efd418b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef878c5ff7772c3e9374c9b275fe3a04',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8254470b103e954dd46db6e61d3b0904',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5a9a6cf4c1d994d6a4c60982aeeb174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99a9607a7159ac9a5af98e1d340f4ab5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac226e287f6da027ac6f233921b12effa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae09ed9ec7e899dfb944b44ba065953c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97f2c612f312fc58926e484211c37dde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc4cec9275d172924b8360d547ffc8f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1edd0c3d8d985788946d0990d2b76645',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a169ffd151b993403c838bda77e8c7383',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c0892ce449c4c41c8163d6e4b485f97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2cd1d5c891efd016370b418b5cd0c4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6510c6b8ae4c6f317b1431b697157af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680518b740c8743788556f9893b25093',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9aac797d850ef296073aa3a3fd76769d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9a3a038164cc91eddceca8c400fb5d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESplitFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef740cb01ac3e92bee00901b559689ce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a64fbba9d6f542c51a1141a37fb1bcb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3750e8e12b46bd668ffe1152a617ebc9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3fdbb201eed4a0728680f260b23f7151',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8efa55afa0ed489c22ce38c25e1c5115',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f4e7aab72484f9ae70e89f738b186ad',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e128e510c6d66e99ad6d29558cc488a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a102a26793c2eef050eed78e81a34e1c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abba71e62641186cfe1301d76367e5379',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3a2a6e43ed25a4d97583c1684f61db4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac68b16a654ceed0d4e6bd2f7bccba69e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7707b11a75b89eb236d2ebfc5630cc32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21ba66424d5f58e7afe056d02a1e18c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5341721b3a824f9aff33009e698c5aac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e1c44e7075da36284e3ea7217e9a505',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18c0a0e5b77c12cf2bc72f10718e7d42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab998ade9d03b437ced520520ae476279',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d566ff2f2fd2cece851836f2505d86f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStridedSliceFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c6371511a75b24a1e081852fb4733db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b7f8dab340a565d82a6c121947dac69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6ae6e4feb2a289bf9a64025bfa9e571',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9837ce267337cee4f6c46c1e25fa88ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af53ab100207675396c546a91a9521311',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38106a98efdc4e8f9ff90339addfd557',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfe24bb2ef8c8ecd4f1188099f35af10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a730fb5bf5e6579700fc00e33c637c4b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETileFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa965239f794b11a0e3df8229a7b76bc4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETileFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a920ac91f1190d14e10419822e92b46a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETileFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae283c83eb95604027b72e2c96ec3c15d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada3684542231567ddb1bb7762e3ed57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adef9ef7ac03b465bf2b052c432917a02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ad862b84b5de8c66eb2b5a4f7381c10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23e3a57e90973a7fc1089807cda49ac9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b12655db93d875e34d0e7dd78f285bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5beab6e512dd2f8205096e875109492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac36385f651dc7146da8f8cf38dd9aae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0cc9aa2b992d30faa93836f1e5ed5749',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302d5bc9c311e27f605fed818cfe1a3a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaab998da6cd1cdd17563621365bb95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf8b75b2ed7f99e32fead5970ffc287f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5921d4278edecb48a6bea0ec35d0a1a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c022778b396ed59b33bd09c60b9cac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84f6d34d13c1d1047d51dea72fa91f20',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a789c0705a32618491b1283987a0284a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))']]],
   ['fixture_5fdata_5ftest_5fcase_5fimpl',['FIXTURE_DATA_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a9c14b58feb41d3702ce3ed63822ac2a8',1,'Macros.h']]],
   ['fixture_5frun',['FIXTURE_RUN',['../tests_2framework_2_macros_8h.xhtml#a67ff67e5a2343bc8d05b1b02290c9fde',1,'Macros.h']]],
   ['fixture_5fsetup',['FIXTURE_SETUP',['../tests_2framework_2_macros_8h.xhtml#af26a9a440f7ae0444624a5ff4392ea2e',1,'Macros.h']]],
   ['fixture_5fsync',['FIXTURE_SYNC',['../tests_2framework_2_macros_8h.xhtml#afc8f808405401fbb9528d36b15127f5b',1,'Macros.h']]],
   ['fixture_5fteardown',['FIXTURE_TEARDOWN',['../tests_2framework_2_macros_8h.xhtml#ae4ff555702946b1f9dddd59f2bff3a2b',1,'Macros.h']]],
-  ['fixture_5ftest_5fcase',['FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a926fbae618fcbb44111e683b8a1e2f99',1,'FIXTURE_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41c4774d0355ab92b88278a64759a8fb',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, CLBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5007ed46d1570c428818e77599bfb706',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(WeightsRetention, CLWeightsRetentionFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab692d9b34d6b0d64c2ec3aa1c524e296',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, GCBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07437288cc3cee452353b8ee4bbb9a8d',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure, GCBlobMemoryManagerReconfigureFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9bfe8fb601740e5c3ce153bba71e925',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure2, GCBlobMemoryManagerReconfigure2Fixture, framework::DatasetMode::ALL)']]],
+  ['fixture_5ftest_5fcase',['FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a926fbae618fcbb44111e683b8a1e2f99',1,'FIXTURE_TEST_CASE():&#160;Macros.h'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41c4774d0355ab92b88278a64759a8fb',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, CLBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4c990314741e327ba3e47997af38485',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(WeightsRetention, CLWeightsRetentionFixture, framework::DatasetMode::NIGHTLY)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab692d9b34d6b0d64c2ec3aa1c524e296',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, GCBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07437288cc3cee452353b8ee4bbb9a8d',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure, GCBlobMemoryManagerReconfigureFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9bfe8fb601740e5c3ce153bba71e925',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure2, GCBlobMemoryManagerReconfigure2Fixture, framework::DatasetMode::ALL)']]],
   ['fixture_5ftest_5fcase_5fimpl',['FIXTURE_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a2ff966da00c382c25e5b064b019d870c',1,'Macros.h']]],
   ['flatten_2ecl',['flatten.cl',['../flatten_8cl.xhtml',1,'']]],
   ['flatten_2ecpp',['Flatten.cpp',['../_c_l_2_flatten_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_flatten_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -79,6 +81,8 @@
   ['flip',['flip',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a4333016b04c798f769404aad7683ec3d',1,'arm_compute::PriorBoxLayerInfo']]],
   ['flip_5fweights',['flip_weights',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a50067fcfca2bd3a1cf53825d330a9b2f',1,'arm_compute::CPPFlipWeightsKernel']]],
   ['flipweightsfunction',['FlipWeightsFunction',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#aac8de6c105b84a6287b36883139cbd5f',1,'arm_compute::CPPFlipWeightsKernel']]],
+  ['float1',['float1',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a08069d303d2082bb5db214244a634c0c',1,'helpers.h']]],
+  ['float_5fdist',['float_dist',['../namespacearm__compute_1_1test_1_1validation.xhtml#a57bd2cc25169b2c2bb61569471eeafb7',1,'arm_compute::test::validation']]],
   ['float_5fto_5fstring_5fwith_5ffull_5fprecision',['float_to_string_with_full_precision',['../namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2',1,'arm_compute']]],
   ['floatarray',['FloatArray',['../namespacearm__compute.xhtml#a6e06029aa1b68c0cdeb80656cc9353fe',1,'arm_compute']]],
   ['floatflip',['FloatFlip',['../minmaxloc_8cl.xhtml#a061903419fb2aff60da86e674c76b96e',1,'FloatFlip():&#160;minmaxloc.cl'],['../namespacearm__compute.xhtml#ad1e1cc57e3e2ae0ea65d607f6d6312f8',1,'arm_compute::FloatFlip()']]],
@@ -91,12 +95,13 @@
   ['floor_5fto_5fmultiple',['floor_to_multiple',['../namespacearm__compute.xhtml#a23062881efd3855d61bae58f330c97db',1,'arm_compute']]],
   ['flt_5fscale',['FLT_SCALE',['../optical__flow__pyramid__lk_8cl.xhtml#a1852457538f524c42f96b66882bd9b35',1,'optical_flow_pyramid_lk.cl']]],
   ['foldl',['foldl',['../namespacearm__compute_1_1utility.xhtml#a043270c1f50c73bf9f91fcc4570ccf0c',1,'arm_compute::utility::foldl(F &amp;&amp;, T &amp;&amp;value)'],['../namespacearm__compute_1_1utility.xhtml#a9a9639bdb9769d758f0a582ba27c4e63',1,'arm_compute::utility::foldl(F &amp;&amp;func, T &amp;&amp;initial, U &amp;&amp;value, Us &amp;&amp;... values) -&gt; decltype(func(std::forward&lt; T &gt;(initial), std::forward&lt; U &gt;(value)))'],['../namespacearm__compute_1_1test.xhtml#a1ebbb23b0094d47c51226d58e17e6447',1,'arm_compute::test::foldl(F &amp;&amp;, const T &amp;value)'],['../namespacearm__compute_1_1test.xhtml#ad933f996ccb22854ae56dd86de8cbbfe',1,'arm_compute::test::foldl(F &amp;&amp;func, T &amp;&amp;value1, U &amp;&amp;value2) -&gt; decltype(func(value1, value2))'],['../namespacearm__compute_1_1test.xhtml#a92a5aaf033153828aef41d3354c204d9',1,'arm_compute::test::foldl(F &amp;&amp;func, I &amp;&amp;initial, T &amp;&amp;value, Vs &amp;&amp;... values)']]],
+  ['for',['for',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784',1,'arm_compute::test::validation']]],
   ['for_5feach',['for_each',['../namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064',1,'arm_compute::utility::for_each(F &amp;&amp;)'],['../namespacearm__compute_1_1utility.xhtml#a1e384f81bb641de61df2800a432c51fe',1,'arm_compute::utility::for_each(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;... args)']]],
   ['for_5feach_5ferror',['for_each_error',['../namespacearm__compute_1_1detail.xhtml#a94a5ba47c282279f5279617b961b8599',1,'arm_compute::detail::for_each_error(F &amp;&amp;)'],['../namespacearm__compute_1_1detail.xhtml#a7955712fcb1027a92679cf656e9394cb',1,'arm_compute::detail::for_each_error(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;... args)']]],
   ['force_5ftarget_5fto_5fgraph',['force_target_to_graph',['../namespacearm__compute_1_1graph.xhtml#ac5712330ef2d40408efb4eae5665dc6e',1,'arm_compute::graph']]],
   ['format',['format',['../classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4',1,'arm_compute::ITensorInfo::format()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7047a267776924cf166c301310f03a2c',1,'arm_compute::MultiImageInfo::format()'],['../classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c',1,'arm_compute::PyramidInfo::format()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::SubTensorInfo::format()'],['../classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::TensorInfo::format()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::CLAccessor::format()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::GCAccessor::format()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4',1,'arm_compute::test::IAccessor::format()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::Accessor::format()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::SimpleTensor::format()'],['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58',1,'arm_compute::Format()']]],
   ['forward_5fdeclare_5fvget_5flane_5ffor_5ftype',['FORWARD_DECLARE_VGET_LANE_FOR_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#a343c67edf168094b802af154b23df92a',1,'NESoftmaxLayerKernel.cpp']]],
-  ['forward_5fdescriptors',['forward_descriptors',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a5edbd8a4a1b75060bb3b49bc0ba2c6b0',1,'arm_compute::graph::INode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ActivationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BatchNormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BoundingBoxTransformLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ChannelShuffleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConcatenateLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConstNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DeconvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DummyNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::EltwiseLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FlattenLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FullyConnectedLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::GenerateProposalsLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::InputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::OutputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PadLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PermuteLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PoolingLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PriorBoxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReorgLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReshapeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ResizeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ROIAlignLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SliceLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SoftmaxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SplitLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::UpsampleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::YOLOLayerNode::forward_descriptors()']]],
+  ['forward_5fdescriptors',['forward_descriptors',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a5edbd8a4a1b75060bb3b49bc0ba2c6b0',1,'arm_compute::graph::INode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ActivationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BatchNormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BoundingBoxTransformLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ChannelShuffleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConcatenateLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConstNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DeconvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DetectionOutputLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DummyNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::EltwiseLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FlattenLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FullyConnectedLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::GenerateProposalsLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::InputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::OutputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PadLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PermuteLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PoolingLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PriorBoxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReorgLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReshapeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ResizeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ROIAlignLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SliceLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SoftmaxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SplitLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::UpsampleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::YOLOLayerNode::forward_descriptors()']]],
   ['forward_5ftail',['forward_tail',['../classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a3d1067259b70c7d8753be5062a4b9f6d',1,'arm_compute::graph::frontend::IStream']]],
   ['fp16_5fsupported',['fp16_supported',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a4f51d241825bd6710fe81b581068ba1e',1,'arm_compute::CLKernelLibrary::fp16_supported()'],['../namespacearm__compute.xhtml#a2ad3c9492d4158b574a89ab798d74e16',1,'arm_compute::fp16_supported()']]],
   ['fp_5fmixed_5fprecision',['fp_mixed_precision',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a501521734ce4f9d81d91d0c7e35dcfe9',1,'arm_compute::GEMMInfo']]],
@@ -115,5 +120,7 @@
   ['functionhelpers_2eh',['FunctionHelpers.h',['../_function_helpers_8h.xhtml',1,'']]],
   ['fuse_5fbatch_5fnorm_5fwith_5factivation',['fuse_batch_norm_with_activation',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a8b0a17136ce8fe6fe8f4d4c92fce413f',1,'arm_compute::graph::detail']]],
   ['fuse_5fnode_5fwith_5factivation',['fuse_node_with_activation',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a0198fa8ccf70d92d0caa4cc5279f0c32',1,'arm_compute::graph::detail']]],
-  ['fused_5factivation',['fused_activation',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::BatchNormalizationLayerNode::fused_activation()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::ConvolutionLayerNode::fused_activation()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::fused_activation()']]]
+  ['fused_5factivation',['fused_activation',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::BatchNormalizationLayerNode::fused_activation()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::ConvolutionLayerNode::fused_activation()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::fused_activation()']]],
+  ['fused_5fbias_5finfo',['fused_bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9a1eec393939154689c980ef44cfca',1,'arm_compute::test::validation']]],
+  ['fused_5fweights_5finfo',['fused_weights_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c4a9308bc9169f018f9c9fbf0cc7a4e',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/all_8.html b/documentation/search/all_8.html
index 11e27cd..1e8fb9c 100644
--- a/documentation/search/all_8.html
+++ b/documentation/search/all_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_8.js b/documentation/search/all_8.js
index 30c1810..34bdb42 100644
--- a/documentation/search/all_8.js
+++ b/documentation/search/all_8.js
@@ -9,6 +9,11 @@
   ['g71',['G71',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a79515d904f73cf1711207de1b2aa6ac6',1,'arm_compute']]],
   ['g72',['G72',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3ab2ac2aea42c95ccc70260ceeb02ec4fc',1,'arm_compute']]],
   ['g76',['G76',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3aa46ce37da51477a1af33a8810e0ed04d',1,'arm_compute']]],
+  ['gamma_5finfo',['gamma_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f276657689eabe34429cb9d767560cb',1,'arm_compute::test::validation']]],
+  ['gather',['gather',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f80b30bc2860eaccce94e4bf5f088b3',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad5eef4dcc5f9cdbcdea67edd255ba51b',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a47fe378d33f576c6aca07cfdcddbfc75',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa2a75a353eaba22c2b78981f2b6864f5',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; uint16_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad68b47495b45117a1b6a4357465beea9',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)']]],
+  ['gather_2ecl',['gather.cl',['../gather_8cl.xhtml',1,'']]],
+  ['gather_2ecpp',['Gather.cpp',['../_c_l_2_gather_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_gather_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_gather_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gather_2eh',['Gather.h',['../_gather_8h.xhtml',1,'']]],
   ['gaussian',['GAUSSIAN',['../namespacearm__compute.xhtml#a201391f6e13e2a1ac203256a77792718a0fceff26ae86a047835cafbb6cadb1b9',1,'arm_compute']]],
   ['gaussian1x5_5fsub_5fx',['gaussian1x5_sub_x',['../gaussian__pyramid_8cl.xhtml#ae8b283818e0ddb9edf271668d2682dc3',1,'gaussian_pyramid.cl']]],
   ['gaussian3x3',['gaussian3x3',['../cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070',1,'gaussian3x3():&#160;cl_convolution.cpp'],['../neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070',1,'gaussian3x3():&#160;neon_convolution.cpp'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a08625a89b22993b65e923139bdf3b9e1',1,'arm_compute::test::validation::reference::gaussian3x3(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0bf5cc0e54ac74aee07c3034844a27f8',1,'arm_compute::test::validation::reference::gaussian3x3(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value)']]],
@@ -244,33 +249,35 @@
   ['gcweightsreshapekernel',['GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml',1,'GCWeightsReshapeKernel'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a29432f2725083d73e198001a805bb862',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a1ec5c943f3e57a34b0a496b4c8fca652',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a42b0d311c42f3129de3c620756efb5ae',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel(GCWeightsReshapeKernel &amp;&amp;)=default']]],
   ['gcweightsreshapekernel_2ecpp',['GCWeightsReshapeKernel.cpp',['../_g_c_weights_reshape_kernel_8cpp.xhtml',1,'']]],
   ['gcweightsreshapekernel_2eh',['GCWeightsReshapeKernel.h',['../_g_c_weights_reshape_kernel_8h.xhtml',1,'']]],
-  ['gemm',['gemm',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab84214a10c816dc554f190c53b535622',1,'arm_compute::test::validation::gemm()'],['../namespacearm__gemm.xhtml#a79454912ae009a0344ddc586e0b72741',1,'arm_gemm::gemm()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa8bf3ead30905547609084db58ee70de',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, const SimpleTensor&lt; T &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acc8055ed1ae62ec87a4b389047c1464a',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, const SimpleTensor&lt; float &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae62fed24d8b0bf2e0b74d81bbe92df38',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, const SimpleTensor&lt; half &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3',1,'arm_compute::GEMM()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3',1,'arm_compute::graph::GEMM()']]],
+  ['gemm',['gemm',['../namespacearm__gemm.xhtml#a2d35c3fce4e08e461199c4cdc6e5f613',1,'arm_gemm::gemm()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa8bf3ead30905547609084db58ee70de',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, const SimpleTensor&lt; T &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acc8055ed1ae62ec87a4b389047c1464a',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, const SimpleTensor&lt; float &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae62fed24d8b0bf2e0b74d81bbe92df38',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, const SimpleTensor&lt; half &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3',1,'arm_compute::GEMM()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3',1,'arm_compute::graph::GEMM()']]],
   ['gemm_2ecl',['gemm.cl',['../gemm_8cl.xhtml',1,'']]],
   ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_c_l_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_g_e_m_m_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gemm_2eh',['GEMM.h',['../_g_e_m_m_8h.xhtml',1,'']]],
-  ['gemm_3c_20float_2c_20float_20_3e',['gemm&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a498110205d154f98c95c59d65189e529',1,'arm_gemm']]],
+  ['gemm_3c_20float_2c_20float_20_3e',['gemm&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ad887120a5143bdeb8b661034f2a1089d',1,'arm_gemm']]],
   ['gemm_5ffp16_2ecpp',['gemm_fp16.cpp',['../gemm__fp16_8cpp.xhtml',1,'']]],
   ['gemm_5ffp32_2ecpp',['gemm_fp32.cpp',['../gemm__fp32_8cpp.xhtml',1,'']]],
+  ['gemm_5fhybrid_2ehpp',['gemm_hybrid.hpp',['../gemm__hybrid_8hpp.xhtml',1,'']]],
   ['gemm_5fimplementation_2ehpp',['gemm_implementation.hpp',['../gemm__implementation_8hpp.xhtml',1,'']]],
-  ['gemm_5fimplementation_5flist',['gemm_implementation_list',['../namespacearm__gemm.xhtml#a595357d74cf2b18dd37825629061d629',1,'arm_gemm']]],
-  ['gemm_5fimplementation_5flist_3c_20float_2c_20float_20_3e',['gemm_implementation_list&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ad8f41ef4bb13f58bfa1df8459e627ddf',1,'arm_gemm']]],
+  ['gemm_5fimplementation_5flist',['gemm_implementation_list',['../namespacearm__gemm.xhtml#acddaad8ff32456a845746feeb2865bde',1,'arm_gemm']]],
+  ['gemm_5fimplementation_5flist_3c_20float_2c_20float_20_3e',['gemm_implementation_list&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a60b1162856ab084a3588fc2d5fdec539',1,'arm_gemm']]],
   ['gemm_5fint16_2ecpp',['gemm_int16.cpp',['../gemm__int16_8cpp.xhtml',1,'']]],
   ['gemm_5fint8_2ecpp',['gemm_int8.cpp',['../gemm__int8_8cpp.xhtml',1,'']]],
   ['gemm_5finterleave_5f4x4',['gemm_interleave_4x4',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1c7a185c57e14305617f6d5a414cdaea',1,'arm_compute::test::validation::reference']]],
   ['gemm_5finterleave_5fblocked',['gemm_interleave_blocked',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a10d3d399b4d9f8f031db4cab7cf1d5a6',1,'arm_compute::test::validation::reference::gemm_interleave_blocked(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out, int int_by, int block, bool transposed)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1f1a4edb3071e8adb00bd748211954f2',1,'arm_compute::test::validation::reference::gemm_interleave_blocked(const SimpleTensor&lt; uint8_t &gt; &amp;in, SimpleTensor&lt; uint8_t &gt; &amp;out, int int_by, int block, bool transposed)']]],
   ['gemm_5finterleaved_2ehpp',['gemm_interleaved.hpp',['../gemm__interleaved_8hpp.xhtml',1,'']]],
   ['gemm_5fnative_2ehpp',['gemm_native.hpp',['../gemm__native_8hpp.xhtml',1,'']]],
+  ['gemm_5freshape_5flhs_5fmatrix',['gemm_reshape_lhs_matrix',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7da8e015c6426ba7a9d756d3cd12e248',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae9af4cb54790f494bf6403a522ee50ee',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; int &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c4372fbbdd64fdcacb7a5ee04f8f4a',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; short &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a24b8e6a6c01dc309d0f4e6c7b882c9f0',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; char &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)']]],
+  ['gemm_5freshape_5frhs_5fmatrix',['gemm_reshape_rhs_matrix',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af33c441c06448d09c4562780d09f5f6f',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4347e8d79fd2976ada851fb08d8cb35c',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; int &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a02244b4489fc1f1f15c7f62ff65c2855',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; short &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aad4b2a5e867463dae62b25f4f3ab2274',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; char &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)']]],
   ['gemm_5ftranspose_5f1xw',['gemm_transpose_1xW',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5cc178cdce0a90f66bba02b5e985f1ad',1,'arm_compute::test::validation::reference']]],
   ['gemm_5fuint16_2ecpp',['gemm_uint16.cpp',['../gemm__uint16_8cpp.xhtml',1,'']]],
   ['gemm_5fuint8_2ecpp',['gemm_uint8.cpp',['../gemm__uint8_8cpp.xhtml',1,'']]],
-  ['gemmimpl_5fgemv_5fbatched',['GemmImpl_gemv_batched',['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml',1,'GemmImpl_gemv_batched&lt; Top, Tret &gt;'],['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#aa3b4552ba22db7aef1c05c1f4a78ff7d',1,'arm_gemm::GemmImpl_gemv_batched::GemmImpl_gemv_batched()']]],
-  ['gemmimplementation',['GemmImplementation',['../classarm__gemm_1_1_gemm_implementation.xhtml',1,'GemmImplementation&lt; Top, Tret &gt;'],['../classarm__gemm_1_1_gemm_implementation.xhtml#ac369d460b7fda2a1c76879150190d21c',1,'arm_gemm::GemmImplementation::GemmImplementation()']]],
-  ['gemmimplementation_3c_20float_2c_20float_20_3e',['GemmImplementation&lt; float, float &gt;',['../classarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
+  ['gemmhybrid',['GemmHybrid',['../classarm__gemm_1_1_gemm_hybrid.xhtml',1,'GemmHybrid&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemm_hybrid.xhtml#a67f91182afb2b1092518637116562440',1,'arm_gemm::GemmHybrid::GemmHybrid(GemmHybrid &amp;)=delete'],['../classarm__gemm_1_1_gemm_hybrid.xhtml#a9e9f8c1982f7144528bb6d01af482a13',1,'arm_gemm::GemmHybrid::GemmHybrid(const GemmArgs&lt; Tr &gt; &amp;args)']]],
+  ['gemmimplementation',['GemmImplementation',['../structarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
   ['gemminfo',['GEMMInfo',['../classarm__compute_1_1_g_e_m_m_info.xhtml',1,'GEMMInfo'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ae70403792b9c2d7bdb0c57b5258b2efd',1,'arm_compute::GEMMInfo::GEMMInfo()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ad2970ee70159d4136762677c2ac9b645',1,'arm_compute::GEMMInfo::GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d=0, bool reinterpret_input_as_3d=false, bool retain_internal_weights=false, GEMMLowpOutputStageInfo gemmlowp_output_stage=GEMMLowpOutputStageInfo(), bool fp_mixed_precision=false)']]],
-  ['gemminterleave4x4_2ecpp',['GEMMInterleave4x4.cpp',['../_c_l_2_g_e_m_m_interleave4x4_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_g_e_m_m_interleave4x4_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gemminterleave4x4_2eh',['GEMMInterleave4x4.h',['../_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
   ['gemminterleaveblocked_2eh',['GEMMInterleaveBlocked.h',['../_g_e_m_m_interleave_blocked_8h.xhtml',1,'']]],
   ['gemminterleaved',['GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml',1,'GemmInterleaved&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#add13963d432a1937370721fa61755b9c',1,'arm_gemm::GemmInterleaved::GemmInterleaved(GemmInterleaved &amp;)=delete'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#aec95ac91ca276b1ad8baf91520c0306f',1,'arm_gemm::GemmInterleaved::GemmInterleaved(const GemmArgs&lt; Tr &gt; &amp;args)']]],
+  ['gemmlhsmatrixinfo',['GEMMLHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml',1,'arm_compute']]],
   ['gemmlowp',['gemmlowp',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af18f21173e19d772347089a2839351b8',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; T2 &gt; &amp;a, const SimpleTensor&lt; T2 &gt; &amp;b, TensorShape shape_c)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae98f7881ffb0ec70363b1e58f3ffff26',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; int8_t &gt; &amp;a, const SimpleTensor&lt; int8_t &gt; &amp;b, TensorShape shape_c)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab15d9a14f95a70cefeaccb69a471d461',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; uint8_t &gt; &amp;a, const SimpleTensor&lt; uint8_t &gt; &amp;b, TensorShape shape_c)']]],
   ['gemmlowp_2ecl',['gemmlowp.cl',['../gemmlowp_8cl.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -284,10 +291,17 @@
   ['gemmlowp_5fquantize_5fdown_5fint32_5fto_5fuint8_5fscale',['gemmlowp_quantize_down_int32_to_uint8_scale',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a32a9b5d6bd895eb4a431ed762a6891c1',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;bias, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0563116df3cccec27da440428c33be03',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; int32_t &gt; &amp;a, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff1df000a6579a92f6b98716d41b339f',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; int32_t &gt; &amp;a, const SimpleTensor&lt; int32_t &gt; &amp;b, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a108287f3fa07031a58de6cd4b62f000b',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift)']]],
   ['gemmlowp_5fquantize_5fdown_5fint32_5fto_5fuint8_5fscale_5fby_5ffixedpoint',['gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a43a9895cb024f65fd294a76b51a16092',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;bias, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a888efca762d4f8630e32ed6463c307c2',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; int32_t &gt; &amp;a, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a484883f5b7128e47bbb309fe69e2dc9e',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; int32_t &gt; &amp;a, const SimpleTensor&lt; int32_t &gt; &amp;b, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)']]],
   ['gemmlowp_5fshift',['gemmlowp_shift',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#ab5b217eb04673634f9fcd97238f2db77',1,'arm_compute::GEMMLowpOutputStageInfo']]],
+  ['gemmlowpmatrixmultiplyreshaped_2ecpp',['GEMMLowpMatrixMultiplyReshaped.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
   ['gemmlowpoutputstageinfo',['GEMMLowpOutputStageInfo',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml',1,'arm_compute']]],
   ['gemmlowpoutputstagetype',['GEMMLowpOutputStageType',['../namespacearm__compute.xhtml#a5558e2cc22f7f4771653d992c8ad8864',1,'arm_compute']]],
-  ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml',1,'GemmNative&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemm_native.xhtml#a0cb6cb7fbb8f763ccf8410b01c57d762',1,'arm_gemm::GemmNative::GemmNative(GemmNative &amp;)=delete'],['../classarm__gemm_1_1_gemm_native.xhtml#ad9f30861e60cb3963a8a68ff4a80815b',1,'arm_gemm::GemmNative::GemmNative(const CPUInfo *ci, const unsigned int M, const unsigned int N, const unsigned int K, const unsigned int nbatches, const unsigned int nmultis, const Tr beta)']]],
+  ['gemmmatrixmultiplyreshaped_2ecpp',['GEMMMatrixMultiplyReshaped.cpp',['../_g_e_m_m_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
+  ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml',1,'GemmNative&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemm_native.xhtml#a0cb6cb7fbb8f763ccf8410b01c57d762',1,'arm_gemm::GemmNative::GemmNative(GemmNative &amp;)=delete'],['../classarm__gemm_1_1_gemm_native.xhtml#a79e00ddcc949cd51d2eb5db800b82c4f',1,'arm_gemm::GemmNative::GemmNative(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['gemmreshapeinfo',['GEMMReshapeInfo',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml',1,'GEMMReshapeInfo'],['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#aee6f5a043173c4d51c11a54db8e0f519',1,'arm_compute::GEMMReshapeInfo::GEMMReshapeInfo()'],['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a6485163a66e22c416abc1021b40b6160',1,'arm_compute::GEMMReshapeInfo::GEMMReshapeInfo(int m, int n, int k, int mult_transpose1xW_width=1, int mult_interleave4x4_height=1, int depth_output_gemm3d=0, bool reinterpret_input_as_3d=false)']]],
+  ['gemmreshapelhsmatrix_2ecpp',['GEMMReshapeLHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gemmreshapelhsmatrix_2eh',['GEMMReshapeLHSMatrix.h',['../_g_e_m_m_reshape_l_h_s_matrix_8h.xhtml',1,'']]],
+  ['gemmreshaperhsmatrix_2ecpp',['GEMMReshapeRHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gemmreshaperhsmatrix_2eh',['GEMMReshapeRHSMatrix.h',['../_g_e_m_m_reshape_r_h_s_matrix_8h.xhtml',1,'']]],
+  ['gemmrhsmatrixinfo',['GEMMRHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml',1,'arm_compute']]],
   ['gemmtranspose1xw_2eh',['GEMMTranspose1xW.h',['../_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
   ['gemv',['GEMV',['../namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2',1,'arm_compute::graph']]],
   ['gemv_2ecl',['gemv.cl',['../gemv_8cl.xhtml',1,'']]],
@@ -295,13 +309,12 @@
   ['gemv_5fnative_5ftransposed_2ehpp',['gemv_native_transposed.hpp',['../gemv__native__transposed_8hpp.xhtml',1,'']]],
   ['gemv_5fpretransposed_2ehpp',['gemv_pretransposed.hpp',['../gemv__pretransposed_8hpp.xhtml',1,'']]],
   ['gemvbatched',['GemvBatched',['../classarm__gemm_1_1_gemv_batched.xhtml',1,'GemvBatched&lt; To, Tr &gt;'],['../classarm__gemm_1_1_gemv_batched.xhtml#ab4a4a43810baddb96b202dfc569765a3',1,'arm_gemm::GemvBatched::GemvBatched()']]],
-  ['gemvnativetransposed',['GemvNativeTransposed',['../classarm__gemm_1_1_gemv_native_transposed.xhtml',1,'GemvNativeTransposed&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a59c738596a028d0ec26a9eaabf4d4d75',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(GemvNativeTransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a7530bdf8064d4d4741e98682a6d2b198',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(const CPUInfo *ci, const unsigned int N, const unsigned int K, const unsigned int nmultis, const Tr beta)']]],
-  ['gemvpretransposed',['GemvPretransposed',['../classarm__gemm_1_1_gemv_pretransposed.xhtml',1,'GemvPretransposed&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a1721e8ac2ad69c15d7c13a063d4c00c4',1,'arm_gemm::GemvPretransposed::GemvPretransposed(GemvPretransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a6fe4c9494706418764f975aa2bdfb5bf',1,'arm_gemm::GemvPretransposed::GemvPretransposed(const CPUInfo *ci, const unsigned int N, const unsigned int K, const unsigned int nmultis, const bool trB, const Tr beta)']]],
+  ['gemvnativetransposed',['GemvNativeTransposed',['../classarm__gemm_1_1_gemv_native_transposed.xhtml',1,'GemvNativeTransposed&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a59c738596a028d0ec26a9eaabf4d4d75',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(GemvNativeTransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#af355ef8bb632c046199c6285533750e9',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(const GemmArgs&lt; Tr &gt; &amp;args)']]],
+  ['gemvpretransposed',['GemvPretransposed',['../classarm__gemm_1_1_gemv_pretransposed.xhtml',1,'GemvPretransposed&lt; strategy, To, Tr &gt;'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a1721e8ac2ad69c15d7c13a063d4c00c4',1,'arm_gemm::GemvPretransposed::GemvPretransposed(GemvPretransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a8dca5a76de1711aa0d39bf892b7ca2c9',1,'arm_gemm::GemvPretransposed::GemvPretransposed(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['generate_5fconvolver',['generate_convolver',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel']]],
   ['generate_5fproposals_2ecl',['generate_proposals.cl',['../generate__proposals_8cl.xhtml',1,'']]],
   ['generate_5frandom_5fkeypoints',['generate_random_keypoints',['../namespacearm__compute_1_1test.xhtml#a6fca44ec6b8d63994a8b16012a73f666',1,'arm_compute::test']]],
   ['generate_5frandom_5freal',['generate_random_real',['../namespacearm__compute_1_1test.xhtml#a000a9b9acb976222ee72275cf8852a3f',1,'arm_compute::test']]],
-  ['generate_5frandom_5frois',['generate_random_rois',['../namespacearm__compute_1_1test.xhtml#ac7324cc960068b65c558b7d25dfe2914',1,'arm_compute::test']]],
   ['generateproposalsinfo',['GenerateProposalsInfo',['../classarm__compute_1_1_generate_proposals_info.xhtml',1,'GenerateProposalsInfo'],['../classarm__compute_1_1_generate_proposals_info.xhtml#a00edeeb4822422b6b7095d5aeb68fc39',1,'arm_compute::GenerateProposalsInfo::GenerateProposalsInfo()']]],
   ['generateproposalslayer',['GenerateProposalsLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml',1,'GenerateProposalsLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a19e3ec9ef1eff753af974d946e85a860',1,'arm_compute::graph::frontend::GenerateProposalsLayer::GenerateProposalsLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a728d2f08dedae314e27241a256449973',1,'arm_compute::graph::GenerateProposalsLayer()']]],
   ['generateproposalslayer_2ecpp',['GenerateProposalsLayer.cpp',['../_generate_proposals_layer_8cpp.xhtml',1,'']]],
@@ -309,13 +322,13 @@
   ['generateproposalslayernode_2ecpp',['GenerateProposalsLayerNode.cpp',['../_generate_proposals_layer_node_8cpp.xhtml',1,'']]],
   ['generateproposalslayernode_2eh',['GenerateProposalsLayerNode.h',['../_generate_proposals_layer_node_8h.xhtml',1,'']]],
   ['generic',['GENERIC',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4ac942dc2a9f958acddc67e11472d3ca0b',1,'arm_compute']]],
-  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native_a__pretranspose_b__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
   ['generic_5ffp16',['GENERIC_FP16',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4aca6fc09ca003ddc8f631109ce01bc6e8',1,'arm_compute']]],
   ['generic_5ffp16_5fdot',['GENERIC_FP16_DOT',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4aad1a9b424f69f167da12150036196cd7',1,'arm_compute']]],
   ['get',['get',['../classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa',1,'arm_compute::CLKernelLibrary::get()'],['../classarm__compute_1_1_c_l_symbols.xhtml#ac3d2ed16df8334b183d76d8a82dbf70f',1,'arm_compute::CLSymbols::get()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8',1,'arm_compute::GCKernelLibrary::get()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a40a46217cd83c9fb540e1fed00973f5d',1,'arm_compute::gles::NDRange::get()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7f58ff2ada353eeba9aef78b696faa0d',1,'arm_compute::gles::NDRange::get() const'],['../classarm__compute_1_1_pixel_value.xhtml#a66c4c1f8b1962d71162d7ac0b3ef65bc',1,'arm_compute::PixelValue::get(uint8_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a5a167d63f02bc4988e688f34a32b599b',1,'arm_compute::PixelValue::get(int8_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a2fc59f298e3c9452086f525479458400',1,'arm_compute::PixelValue::get(uint16_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#adc9730a5794778778c9290d824169856',1,'arm_compute::PixelValue::get(int16_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a951fd574457b3c1d973bab27852497bf',1,'arm_compute::PixelValue::get(uint32_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#ab70f4f8cb3cdca635ea5b663efdf58e4',1,'arm_compute::PixelValue::get(int32_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#aa6891658c7f836b24e81a909e262a0b5',1,'arm_compute::PixelValue::get(uint64_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#ac9e6a107a838475befb127d19810819b',1,'arm_compute::PixelValue::get(int64_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a094ed5eee19e2d210859e3e0a2c2ec77',1,'arm_compute::PixelValue::get(half &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a43fd30dcf0471d3194662a798cab5b07',1,'arm_compute::PixelValue::get(float &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a62291388fe2e02f95e0934f08d5a7064',1,'arm_compute::PixelValue::get(double &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#afe5b3274209fa0f482c22a244de2773d',1,'arm_compute::PixelValue::get() const'],['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a438bb9166f6212a2343174d324449802',1,'arm_compute::logging::LoggerRegistry::get()'],['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041',1,'arm_compute::graph::backends::BackendRegistry::get()'],['../classarm__compute_1_1graph_1_1_task_executor.xhtml#a8814816f2d2940dbbc2817277eff42db',1,'arm_compute::graph::TaskExecutor::get()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c',1,'arm_compute::CLScheduler::get()'],['../classarm__compute_1_1_c_p_p_scheduler.xhtml#a29866c2e410a715d736ec447b986df78',1,'arm_compute::CPPScheduler::get()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b',1,'arm_compute::GCScheduler::get()'],['../classarm__compute_1_1_o_m_p_scheduler.xhtml#ae2c66b86cdc38931af9c49a58e03d692',1,'arm_compute::OMPScheduler::get()'],['../classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429',1,'arm_compute::Scheduler::get()'],['../classarm__compute_1_1_single_thread_scheduler.xhtml#adde335aa5c5b2fc7e07c1d2dc940bf8f',1,'arm_compute::SingleThreadScheduler::get()'],['../classarm__gemm_1_1_buffer.xhtml#a427705bf76071f12aa29992bd5cffa73',1,'arm_gemm::Buffer::get()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a427705bf76071f12aa29992bd5cffa73',1,'arm_gemm::BufferManager::get()'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa6db5c08c0540fb3c0b8292861342a73',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa0cf1a79542c521b9f16d117b085c4d5',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a2a42841665f9beb54eb36b19bb80429d',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, DataType data_type, int num_channels=1) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a3a09811217e482c207002786f08b0cf2',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ab760ccaa18b95b99c73eb0e763f39ec2',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a53dd04f4377c6f33085ecefd226071f3',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#af6f0ca724e534653925306023dbb88e7',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Channel channel)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a94ea5147ba395f404c0f0a8a203c1a61',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ad6182f07b3eda32931598aa4f2bfc11a',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format, Channel channel)'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9',1,'arm_compute::test::framework::Framework::get()'],['../classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#ae18857a90dabdfda0bf26ee448f46652',1,'arm_compute::utils::IImageDataFeeder::get()'],['../classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494',1,'arm_compute::utils::FileImageFeeder::get()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494',1,'arm_compute::utils::MemoryImageFeeder::get()']]],
   ['get_5factivation_5flayer_5ftest_5fbounds',['get_activation_layer_test_bounds',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a1aa7d40588cbc644eb7d45d008b1f0',1,'arm_compute::test::validation']]],
   ['get_5farch_5ffrom_5ftarget',['get_arch_from_target',['../namespacearm__compute.xhtml#a2355c2bf5d1950088937416baea24fe6',1,'arm_compute']]],
-  ['get_5fb_5fpretransposed_5farray_5fsize',['get_B_pretransposed_array_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmInterleaved::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvBatched::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvPretransposed::get_B_pretransposed_array_size()']]],
+  ['get_5fb_5fpretransposed_5farray_5fsize',['get_B_pretransposed_array_size',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmHybrid::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmInterleaved::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvBatched::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvPretransposed::get_B_pretransposed_array_size()']]],
   ['get_5fbackend',['get_backend',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93',1,'arm_compute::graph::backends::BackendRegistry']]],
   ['get_5fbacking_5ftensor',['get_backing_tensor',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69dd1fc17c7a15f4125873be182c8c76',1,'arm_compute::graph::backends::detail']]],
   ['get_5fbacking_5ftensor_5finfo',['get_backing_tensor_info',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca',1,'arm_compute::graph::backends::detail']]],
@@ -324,6 +337,8 @@
   ['get_5fcl_5fselect_5ftype_5ffrom_5fdata_5ftype',['get_cl_select_type_from_data_type',['../namespacearm__compute.xhtml#a70d221fbff7bff840ef4d3fdc701cf53',1,'arm_compute']]],
   ['get_5fcl_5ftype_5ffrom_5fdata_5ftype',['get_cl_type_from_data_type',['../namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184',1,'arm_compute']]],
   ['get_5fcl_5fversion',['get_cl_version',['../namespacearm__compute.xhtml#a0e62ce01a7a7af6c3d059bb8534cad45',1,'arm_compute']]],
+  ['get_5fcompatible_5fkernels',['get_compatible_kernels',['../namespacearm__gemm.xhtml#a36da041082ba1c9310bdfdd3b6a2d24c',1,'arm_gemm']]],
+  ['get_5fcompatible_5fkernels_3c_20float_2c_20float_20_3e',['get_compatible_kernels&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ae0132f55c6d1d908e4537c628c17e004',1,'arm_gemm']]],
   ['get_5fconvolution_5fmethod',['get_convolution_method',['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a52d5a4b1c55ce0198a793d5ebe5eb714',1,'arm_compute::CLConvolutionLayer::get_convolution_method()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a2538e5ca14e38133458798dc11229e37',1,'arm_compute::NEConvolutionLayer::get_convolution_method()']]],
   ['get_5fcpu_5fconfiguration',['get_cpu_configuration',['../namespacearm__compute.xhtml#a92d01d03db1530581737484c1290ca16',1,'arm_compute']]],
   ['get_5fcpu_5fmodel',['get_cpu_model',['../classarm__compute_1_1_c_p_u_info.xhtml#a1d1a4992ced850f18f97b27492bbb081',1,'arm_compute::CPUInfo::get_cpu_model(unsigned int cpuid) const'],['../classarm__compute_1_1_c_p_u_info.xhtml#aa382062453f40443af73d726fe75340b',1,'arm_compute::CPUInfo::get_cpu_model() const']]],
@@ -333,14 +348,15 @@
   ['get_5fdata_5flayout_5fdimension_5findex',['get_data_layout_dimension_index',['../namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db',1,'arm_compute']]],
   ['get_5fdata_5fsize_5ffrom_5fdata_5ftype',['get_data_size_from_data_type',['../namespacearm__compute.xhtml#ab631f49c436b1f18beff3248c4b1a19e',1,'arm_compute']]],
   ['get_5fdefault_5ftarget',['get_default_target',['../namespacearm__compute_1_1graph.xhtml#addc5c907a850a8b4d5458bd14f50c6f7',1,'arm_compute::graph']]],
+  ['get_5fdetection_5foutput_5faccessor',['get_detection_output_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063',1,'arm_compute::graph_utils']]],
   ['get_5fdevice',['get_device',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a06733f65cb098d0ba67b028b1cb94b03',1,'arm_compute::CLKernelLibrary']]],
   ['get_5fdevice_5fversion',['get_device_version',['../classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef',1,'arm_compute::CLKernelLibrary']]],
   ['get_5fdimension_5fidx',['get_dimension_idx',['../namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7',1,'arm_compute::graph']]],
   ['get_5fdimension_5fsize',['get_dimension_size',['../namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1',1,'arm_compute::graph']]],
   ['get_5fdriving_5fnodes',['get_driving_nodes',['../namespacearm__compute_1_1graph.xhtml#a634230f98a5918f214e47d913c452d3b',1,'arm_compute::graph']]],
   ['get_5fformat_5ffor_5fchannel',['get_format_for_channel',['../namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf',1,'arm_compute::test']]],
-  ['get_5fgemm_5fmethod',['get_gemm_method',['../namespacearm__gemm.xhtml#ac511612b4ec4c51a4aed14bf217b867d',1,'arm_gemm']]],
-  ['get_5fgemm_5fmethod_3c_20float_2c_20float_20_3e',['get_gemm_method&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a54c087e90a95f5f0494ba8d332f5b6b5',1,'arm_gemm']]],
+  ['get_5fgemm_5fmethod',['get_gemm_method',['../namespacearm__gemm.xhtml#a19d838df735190843718a2cb4449204b',1,'arm_gemm']]],
+  ['get_5fgemm_5fmethod_3c_20float_2c_20float_20_3e',['get_gemm_method&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a2b318608a1cec6f3e8e97af9d98781e8',1,'arm_gemm']]],
   ['get_5fgl_5fssbo_5fname',['get_gl_ssbo_name',['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#aae7e39f5c474c8bf6d4cdbef3af9b6cb',1,'arm_compute::GCTensorAllocator']]],
   ['get_5fimage_5fshape',['get_image_shape',['../classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa',1,'arm_compute::test::AssetsLibrary']]],
   ['get_5fimage_5ftype_5ffrom_5ffile',['get_image_type_from_file',['../namespacearm__compute_1_1utils.xhtml#a779702024b509e6797b2d526d382cf65',1,'arm_compute::utils']]],
@@ -374,6 +390,7 @@
   ['get_5fquantized_5fbounds',['get_quantized_bounds',['../namespacearm__compute_1_1test_1_1validation.xhtml#a55866d648f6da2a3aaf3965bd1685868',1,'arm_compute::test::validation']]],
   ['get_5frandom_5faccessor',['get_random_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2',1,'arm_compute::graph_utils']]],
   ['get_5frow',['get_row',['../classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#a352ac249fbff257dddef6eb8792cd648',1,'arm_compute::utils::IImageDataFeeder::get_row()'],['../classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684',1,'arm_compute::utils::FileImageFeeder::get_row()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684',1,'arm_compute::utils::MemoryImageFeeder::get_row()']]],
+  ['get_5fsize',['get_size',['../classarm__gemm_1_1_n_d_range.xhtml#a0f8db355d9e187a659bcc29c7165e8fb',1,'arm_gemm::NDRange']]],
   ['get_5fstorage_5frequirement',['get_storage_requirement',['../classarm__gemm_1_1_buffer_manager.xhtml#ad94ec2bb5758590521fe20ae781ca0b5',1,'arm_gemm::BufferManager']]],
   ['get_5ftarget',['get_target',['../classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::ICLKernel::get_target()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::IGCKernel::get_target()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::GCScheduler::get_target()']]],
   ['get_5ftarget_5ffrom_5fdevice',['get_target_from_device',['../namespacearm__compute.xhtml#a281384aa081efe5819eedd6a7c2a429b',1,'arm_compute::get_target_from_device(const cl::Device &amp;device)'],['../namespacearm__compute.xhtml#a786b9d823a527bb1e30d38f4dbe52d4b',1,'arm_compute::get_target_from_device()']]],
@@ -382,16 +399,16 @@
   ['get_5ftensor_5finfo_5ft',['get_tensor_info_t',['../structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml',1,'arm_compute::detail']]],
   ['get_5ftensor_5finfo_5ft_3c_20itensorinfo_20_2a_20_3e',['get_tensor_info_t&lt; ITensorInfo * &gt;',['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml',1,'arm_compute::detail']]],
   ['get_5fthreads_5fhint',['get_threads_hint',['../namespacearm__compute.xhtml#a9a9fa44b29bc17746a0b486626a76e0a',1,'arm_compute']]],
-  ['get_5ftile',['get_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7159671a452710595f7d01e69aef7a13',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f24eb9f64c22d82f465dfe37aceb3f0',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;roi, const Coordinates &amp;coord)']]],
+  ['get_5ftile',['get_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7159671a452710595f7d01e69aef7a13',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f24eb9f64c22d82f465dfe37aceb3f0',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab845254df9508ca05606545601bebb96',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; int &gt; &amp;in, SimpleTensor&lt; int &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e68979a4a28002408d66ebed77b22cf',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; short &gt; &amp;in, SimpleTensor&lt; short &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3cb2c28c295494199dc2d805e26e7e2',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; char &gt; &amp;in, SimpleTensor&lt; char &gt; &amp;roi, const Coordinates &amp;coord)']]],
   ['get_5ftotal_5fin_5fkb',['get_total_in_kb',['../classarm__compute_1_1_m_e_m_info.xhtml#a417a573b0ef6347fa727ce756b76f1d2',1,'arm_compute::MEMInfo']]],
   ['get_5ftype',['get_type',['../classarm__compute_1_1_scheduler.xhtml#a3f9e730c935124966325cd7c794d3153',1,'arm_compute::Scheduler']]],
   ['get_5ftypestring',['get_typestring',['../namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a',1,'arm_compute::test::get_typestring()'],['../namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19',1,'arm_compute::utils::get_typestring()']]],
   ['get_5funderlying_5fcl_5ftype_5ffrom_5fdata_5ftype',['get_underlying_cl_type_from_data_type',['../namespacearm__compute.xhtml#aa9ed41c417478e5b1e346de1899137b1',1,'arm_compute']]],
   ['get_5fvalue',['get_value',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#aea0e7b23882e772db44534ca45e2c029',1,'arm_compute::test::framework::PMU']]],
-  ['get_5fvector_5flength',['get_vector_length',['../utils_8hpp.xhtml#a1eaff087e6d3a04dfe9e886b204a1e2e',1,'utils.hpp']]],
+  ['get_5fvector_5flength',['get_vector_length',['../namespacearm__gemm_1_1utils.xhtml#aa7ef5562f876812256212715f49ef569',1,'arm_gemm::utils']]],
   ['get_5fweight_5fstorage_5fsize',['get_weight_storage_size',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ac87d8039da10e7380bcaf59169eb4558',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::get_weight_storage_size()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a87a7d4fe23da86c3682b79300d23f248',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::get_weight_storage_size()']]],
   ['get_5fweights_5faccessor',['get_weights_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16',1,'arm_compute::graph_utils']]],
-  ['get_5fwindow_5fsize',['get_window_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmInterleaved::get_window_size()'],['../classarm__gemm_1_1_gemm_native.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmNative::get_window_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvBatched::get_window_size()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvNativeTransposed::get_window_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvPretransposed::get_window_size()']]],
+  ['get_5fwindow_5fsize',['get_window_size',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmHybrid::get_window_size()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmInterleaved::get_window_size()'],['../classarm__gemm_1_1_gemm_native.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmNative::get_window_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvBatched::get_window_size()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvNativeTransposed::get_window_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvPretransposed::get_window_size()']]],
   ['get_5fworking_5fsize',['get_working_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#abf5a58f6feffeae31f48b750cba9303d',1,'arm_gemm::GemmInterleaved::get_working_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#abf5a58f6feffeae31f48b750cba9303d',1,'arm_gemm::GemvBatched::get_working_size()']]],
   ['gethigh_2eh',['gethigh.h',['../gethigh_8h.xhtml',1,'']]],
   ['getlane_2eh',['getlane.h',['../getlane_8h.xhtml',1,'']]],
@@ -493,20 +510,25 @@
   ['graph_2eh',['Graph.h',['../graph_2_graph_8h.xhtml',1,'(Global Namespace)'],['../_graph_8h.xhtml',1,'(Global Namespace)']]],
   ['graph_5falexnet_2ecpp',['graph_alexnet.cpp',['../graph__alexnet_8cpp.xhtml',1,'']]],
   ['graph_5fgooglenet_2ecpp',['graph_googlenet.cpp',['../graph__googlenet_8cpp.xhtml',1,'']]],
+  ['graph_5finception_5fresnet_5fv1_2ecpp',['graph_inception_resnet_v1.cpp',['../graph__inception__resnet__v1_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fresnet_5fv2_2ecpp',['graph_inception_resnet_v2.cpp',['../graph__inception__resnet__v2_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fv3_2ecpp',['graph_inception_v3.cpp',['../graph__inception__v3_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fv4_2ecpp',['graph_inception_v4.cpp',['../graph__inception__v4_8cpp.xhtml',1,'']]],
   ['graph_5flenet_2ecpp',['graph_lenet.cpp',['../graph__lenet_8cpp.xhtml',1,'']]],
   ['graph_5fmobilenet_2ecpp',['graph_mobilenet.cpp',['../graph__mobilenet_8cpp.xhtml',1,'']]],
   ['graph_5fmobilenet_5fv2_2ecpp',['graph_mobilenet_v2.cpp',['../graph__mobilenet__v2_8cpp.xhtml',1,'']]],
+  ['graph_5fresnet12_2ecpp',['graph_resnet12.cpp',['../graph__resnet12_8cpp.xhtml',1,'']]],
   ['graph_5fresnet50_2ecpp',['graph_resnet50.cpp',['../graph__resnet50_8cpp.xhtml',1,'']]],
   ['graph_5fresnet_5fv2_5f50_2ecpp',['graph_resnet_v2_50.cpp',['../graph__resnet__v2__50_8cpp.xhtml',1,'']]],
   ['graph_5fresnext50_2ecpp',['graph_resnext50.cpp',['../graph__resnext50_8cpp.xhtml',1,'']]],
   ['graph_5fshufflenet_2ecpp',['graph_shufflenet.cpp',['../graph__shufflenet_8cpp.xhtml',1,'']]],
   ['graph_5fsqueezenet_2ecpp',['graph_squeezenet.cpp',['../graph__squeezenet_8cpp.xhtml',1,'']]],
   ['graph_5fsqueezenet_5fv1_5f1_2ecpp',['graph_squeezenet_v1_1.cpp',['../graph__squeezenet__v1__1_8cpp.xhtml',1,'']]],
+  ['graph_5fsrcnn955_2ecpp',['graph_srcnn955.cpp',['../graph__srcnn955_8cpp.xhtml',1,'']]],
+  ['graph_5fssd_5fmobilenet_2ecpp',['graph_ssd_mobilenet.cpp',['../graph__ssd__mobilenet_8cpp.xhtml',1,'']]],
   ['graph_5fvgg16_2ecpp',['graph_vgg16.cpp',['../graph__vgg16_8cpp.xhtml',1,'']]],
   ['graph_5fvgg19_2ecpp',['graph_vgg19.cpp',['../graph__vgg19_8cpp.xhtml',1,'']]],
+  ['graph_5fvgg_5fvdsr_2ecpp',['graph_vgg_vdsr.cpp',['../graph__vgg__vdsr_8cpp.xhtml',1,'']]],
   ['graph_5fyolov3_2ecpp',['graph_yolov3.cpp',['../graph__yolov3_8cpp.xhtml',1,'']]],
   ['graphbuilder',['GraphBuilder',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml',1,'arm_compute::graph']]],
   ['graphbuilder_2ecpp',['GraphBuilder.cpp',['../_graph_builder_8cpp.xhtml',1,'']]],
@@ -522,6 +544,8 @@
   ['graphmutators_2eh',['GraphMutators.h',['../_graph_mutators_8h.xhtml',1,'']]],
   ['graphutils_2ecpp',['GraphUtils.cpp',['../_graph_utils_8cpp.xhtml',1,'']]],
   ['graphutils_2eh',['GraphUtils.h',['../_graph_utils_8h.xhtml',1,'']]],
+  ['greater',['Greater',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a',1,'arm_compute::Greater()'],['../comparisons_8cl.xhtml#a70e3dcde6a2e40c5b571a2b79a20d075',1,'GREATER():&#160;comparisons.cl']]],
+  ['greaterequal',['GREATEREQUAL',['../comparisons_8cl.xhtml#a18fee7f44d9b7e29bdf11be248e36930',1,'GREATEREQUAL():&#160;comparisons.cl'],['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f',1,'arm_compute::GreaterEqual()']]],
   ['green_5fcoef2_5fbt709',['green_coef2_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a27e073d020236f5a325762985b10f8d0',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['green_5fcoef_5fbt709',['green_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a5e59bd8be31e871da2db7572e8b788ce',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['grid_5fsize',['GRID_SIZE',['../softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f',1,'GRID_SIZE():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#a08246606c233e7785a497c09672f366f',1,'GRID_SIZE():&#160;softmax_layer_quantized.cl']]],
diff --git a/documentation/search/all_9.html b/documentation/search/all_9.html
index f8abbbe..27df366 100644
--- a/documentation/search/all_9.html
+++ b/documentation/search/all_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_9.js b/documentation/search/all_9.js
index 20fd596..7439887 100644
--- a/documentation/search/all_9.js
+++ b/documentation/search/all_9.js
@@ -1,9 +1,16 @@
 var searchData=
 [
+  ['h0',['h0',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a2dc097fefeb3d010fb5570a19cac6cd3',1,'arm_compute::GEMMRHSMatrixInfo']]],
   ['half',['half',['../namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1',1,'arm_compute']]],
   ['half_2eh',['Half.h',['../_half_8h.xhtml',1,'']]],
+  ['half1',['half1',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6083fd110e3a4572725f6a020c1681ae',1,'helpers.h']]],
+  ['half_5faway_5ffrom_5fzero',['HALF_AWAY_FROM_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a0af811513148901478bd420235c48c6b',1,'arm_compute::utils::rounding']]],
+  ['half_5fdown',['HALF_DOWN',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a8f7b877b609236c678a778dd131ebcb6',1,'arm_compute::utils::rounding']]],
+  ['half_5feven',['HALF_EVEN',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a29746b187c41c8e51b96a3104cbda3b6',1,'arm_compute::utils::rounding']]],
   ['half_5fround_5fstyle',['HALF_ROUND_STYLE',['../_half_8h.xhtml#af470ed60568b3e7f4fde6092d22abbde',1,'Half.h']]],
   ['half_5fround_5fties_5fto_5feven',['HALF_ROUND_TIES_TO_EVEN',['../_half_8h.xhtml#ab0c3c06432f0247f22594abe3df0ebfe',1,'Half.h']]],
+  ['half_5fto_5fzero',['HALF_TO_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101afe7ff9704b5494f69cd7ccd330bc3969',1,'arm_compute::utils::rounding']]],
+  ['half_5fup',['HALF_UP',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101ae184ac539927e7effd9eae762e9f1904',1,'arm_compute::utils::rounding']]],
   ['handle',['handle',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544',1,'arm_compute::graph::Tensor']]],
   ['harris_5fcorner_5fdetector',['harris_corner_detector',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adc64cfa88bef3958e1603bfca23db47a',1,'arm_compute::test::validation::reference::harris_corner_detector(const SimpleTensor&lt; T &gt; &amp;src, float threshold, float min_dist, float sensitivity, int gradient_size, int block_size, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab2ac7813f2c360028d700e7feb88afca',1,'arm_compute::test::validation::reference::harris_corner_detector(const SimpleTensor&lt; uint8_t &gt; &amp;src, float threshold, float min_dist, float sensitivity, int gradient_size, int block_size, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['harris_5fcorners_2ecl',['harris_corners.cl',['../harris__corners_8cl.xhtml',1,'']]],
@@ -19,6 +26,7 @@
   ['harriscornersparameters',['HarrisCornersParameters',['../structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml',1,'arm_compute::test::validation']]],
   ['has_5fcifg_5fopt',['has_cifg_opt',['../classarm__compute_1_1_l_s_t_m_params.xhtml#aae040c52316d86a4df2c7cdf179049bf',1,'arm_compute::LSTMParams']]],
   ['has_5fdotprod',['has_dotprod',['../classarm__compute_1_1_c_p_u_info.xhtml#a8d31247d25bfe0a0b669d367aa801c2d',1,'arm_compute::CPUInfo']]],
+  ['has_5ferror',['has_error',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0cfaa9757f9120c3c8a406df86d86ee',1,'arm_compute::test::validation']]],
   ['has_5fformat_5fhorizontal_5fsubsampling',['has_format_horizontal_subsampling',['../namespacearm__compute.xhtml#aa2f22cc01532e0236e438324310fdb94',1,'arm_compute']]],
   ['has_5fformat_5fvertical_5fsubsampling',['has_format_vertical_subsampling',['../namespacearm__compute.xhtml#a95358b677c5c17f5cc1e369e4a27e2c2',1,'arm_compute']]],
   ['has_5ffp16',['has_fp16',['../classarm__compute_1_1_c_p_u_info.xhtml#a0647761f309e3b3edb5a5501b3ff38d2',1,'arm_compute::CPUInfo']]],
diff --git a/documentation/search/all_a.html b/documentation/search/all_a.html
index 9601fce..63f9254 100644
--- a/documentation/search/all_a.html
+++ b/documentation/search/all_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_a.js b/documentation/search/all_a.js
index f438a49..9dcc7b7 100644
--- a/documentation/search/all_a.js
+++ b/documentation/search/all_a.js
@@ -1,6 +1,7 @@
 var searchData=
 [
   ['importing_20data_20from_20existing_20models',['Importing data from existing models',['../data_import.xhtml',1,'']]],
+  ['i_5fvalue',['i_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6266126c01687b9ea2f570a00dca5af2',1,'arm_compute::test::validation']]],
   ['iaccessor',['IAccessor',['../classarm__compute_1_1test_1_1_i_accessor.xhtml',1,'arm_compute::test']]],
   ['iaccessor_2eh',['IAccessor.h',['../_i_accessor_8h.xhtml',1,'']]],
   ['iaccesswindow',['IAccessWindow',['../classarm__compute_1_1_i_access_window.xhtml',1,'arm_compute']]],
@@ -13,7 +14,8 @@
   ['iarray_3c_20nelkinternalkeypoint_20_3e',['IArray&lt; NELKInternalKeypoint &gt;',['../classarm__compute_1_1_i_array.xhtml',1,'arm_compute']]],
   ['iarrayaccessor',['IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml',1,'arm_compute::test']]],
   ['iarrayaccessor_2eh',['IArrayAccessor.h',['../_i_array_accessor_8h.xhtml',1,'']]],
-  ['iceildiv',['iceildiv',['../utils_8hpp.xhtml#a684c8067c15bcb74b9d79a822aa8098f',1,'utils.hpp']]],
+  ['ibuffermanager',['IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml',1,'arm_compute']]],
+  ['iceildiv',['iceildiv',['../utils_8hpp.xhtml#aa4508679e1d089c2bdcf000f72357683',1,'utils.hpp']]],
   ['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'ICLArray&lt; T &gt;'],['../classarm__compute_1_1_i_c_l_array.xhtml#a52adc23eae121bce4ce2f3febaf77566',1,'arm_compute::ICLArray::ICLArray(size_t max_num_values)'],['../classarm__compute_1_1_i_c_l_array.xhtml#a0cf073a23250bc74f0481a2747245e09',1,'arm_compute::ICLArray::ICLArray(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a2737e23210ec0453be088d5069fe2c48',1,'arm_compute::ICLArray::ICLArray(ICLArray &amp;&amp;)=default']]],
   ['iclarray_2eh',['ICLArray.h',['../_i_c_l_array_8h.xhtml',1,'']]],
   ['iclcoefficienttablearray',['ICLCoefficientTableArray',['../namespacearm__compute.xhtml#a05d88c40a53babe38cb2cb5841c4a0ad',1,'arm_compute']]],
@@ -26,6 +28,8 @@
   ['icldistribution1d_2eh',['ICLDistribution1D.h',['../_i_c_l_distribution1_d_8h.xhtml',1,'']]],
   ['iclfloatarray',['ICLFloatArray',['../namespacearm__compute.xhtml#a631bac7c033a0d341c631870f9755217',1,'arm_compute']]],
   ['iclgemmlowpreductionkernel',['ICLGEMMLowpReductionKernel',['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml',1,'ICLGEMMLowpReductionKernel'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#adced493df260018889a13cf05cd8a042',1,'arm_compute::ICLGEMMLowpReductionKernel::ICLGEMMLowpReductionKernel()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a45519e76775ff90992f1e58c7b4e0854',1,'arm_compute::ICLGEMMLowpReductionKernel::ICLGEMMLowpReductionKernel(const ICLGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a29d3cf33be0d3d2d5a33fc84c96e91fb',1,'arm_compute::ICLGEMMLowpReductionKernel::ICLGEMMLowpReductionKernel(ICLGEMMLowpReductionKernel &amp;&amp;)=default']]],
+  ['iclgemmreshapedconfiguration',['ICLGEMMReshapedConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml',1,'arm_compute']]],
+  ['iclgemmreshapedconfiguration_2eh',['ICLGEMMReshapedConfiguration.h',['../_i_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
   ['iclhog',['ICLHOG',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml',1,'ICLHOG'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a04ce3d16477ead3711cf9d46d61abef1',1,'arm_compute::ICLHOG::ICLHOG()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a60f111f23edc7afc0161a2f991a5fe9e',1,'arm_compute::ICLHOG::ICLHOG(const ICLHOG &amp;)=delete'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a5fa39e889172d1997da4d8369d7eff2d',1,'arm_compute::ICLHOG::ICLHOG(ICLHOG &amp;&amp;)=default']]],
   ['iclhog_2ecpp',['ICLHOG.cpp',['../_i_c_l_h_o_g_8cpp.xhtml',1,'']]],
   ['iclhog_2eh',['ICLHOG.h',['../_i_c_l_h_o_g_8h.xhtml',1,'']]],
@@ -52,7 +56,6 @@
   ['icloneable_2eh',['ICloneable.h',['../_i_cloneable_8h.xhtml',1,'']]],
   ['icloneable_3c_20itensorinfo_20_3e',['ICloneable&lt; ITensorInfo &gt;',['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml',1,'arm_compute::misc']]],
   ['icloneable_3c_20tensordescriptor_20_3e',['ICloneable&lt; TensorDescriptor &gt;',['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml',1,'arm_compute::misc']]],
-  ['iclroiarray',['ICLROIArray',['../namespacearm__compute.xhtml#a64e11fcdd0f4a3f7d832495b7053fbe9',1,'arm_compute']]],
   ['iclsimple2dkernel',['ICLSimple2DKernel',['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml',1,'arm_compute']]],
   ['iclsimple2dkernel_2ecpp',['ICLSimple2DKernel.cpp',['../_i_c_l_simple2_d_kernel_8cpp.xhtml',1,'']]],
   ['iclsimple2dkernel_2eh',['ICLSimple2DKernel.h',['../_i_c_l_simple2_d_kernel_8h.xhtml',1,'']]],
@@ -100,6 +103,7 @@
   ['idx4',['idx4',['../softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb',1,'softmax_layer.cl']]],
   ['idx_5f_5f',['idx__',['../softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9',1,'idx__():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9',1,'idx__():&#160;softmax_layer_quantized.cl']]],
   ['idx_5fclass',['idx_class',['../structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1',1,'arm_compute::DetectionWindow::idx_class()'],['../struct_detection_window.xhtml#ad4f986571659dd822695ca58dda00e49',1,'DetectionWindow::idx_class()']]],
+  ['if',['if',['../namespacearm__compute_1_1test_1_1validation.xhtml#a439f0d3ec27d4db453534d05f9f0bd18',1,'arm_compute::test::validation']]],
   ['ifallback',['IFallback',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml',1,'arm_compute::NEGEMMAssemblyDispatch']]],
   ['ifloatarray',['IFloatArray',['../namespacearm__compute.xhtml#a8a82a1928159e86b0778c3c14e8842be',1,'arm_compute']]],
   ['ifloatflip',['IFloatFlip',['../namespacearm__compute.xhtml#a69c96727fe92b1ad1b07da3117c73c76',1,'arm_compute']]],
@@ -188,7 +192,6 @@
   ['imultihog_2eh',['IMultiHOG.h',['../_i_multi_h_o_g_8h.xhtml',1,'']]],
   ['imultiimage',['IMultiImage',['../classarm__compute_1_1_i_multi_image.xhtml',1,'arm_compute']]],
   ['imultiimage_2eh',['IMultiImage.h',['../_i_multi_image_8h.xhtml',1,'']]],
-  ['in',['in',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76',1,'arm_compute::test::validation']]],
   ['in_5fmap_5f1d',['IN_MAP_1D',['../namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caaca2475ab7883ebb9f125241141896190',1,'arm_compute']]],
   ['in_5fmap_5f2d',['IN_MAP_2D',['../namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa6ff8bd96743aae9fd283cd822b84278e',1,'arm_compute']]],
   ['in_5fstride_5fx',['in_stride_x',['../depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff',1,'depthwise_convolution.cl']]],
@@ -208,14 +211,17 @@
   ['inesimplefunction',['INESimpleFunction',['../classarm__compute_1_1_i_n_e_simple_function.xhtml',1,'INESimpleFunction'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a4a6528d71f063140db37cdf5cf272960',1,'arm_compute::INESimpleFunction::INESimpleFunction()']]],
   ['inesimplefunction_2ecpp',['INESimpleFunction.cpp',['../_i_n_e_simple_function_8cpp.xhtml',1,'']]],
   ['inesimplefunction_2eh',['INESimpleFunction.h',['../_i_n_e_simple_function_8h.xhtml',1,'']]],
+  ['inesimplefunctionnoborder',['INESimpleFunctionNoBorder',['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml',1,'INESimpleFunctionNoBorder'],['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a0e0883eaf5a047ad7a5eb791dfe3a7f5',1,'arm_compute::INESimpleFunctionNoBorder::INESimpleFunctionNoBorder()']]],
+  ['inesimplefunctionnoborder_2ecpp',['INESimpleFunctionNoBorder.cpp',['../_i_n_e_simple_function_no_border_8cpp.xhtml',1,'']]],
+  ['inesimplefunctionnoborder_2eh',['INESimpleFunctionNoBorder.h',['../_i_n_e_simple_function_no_border_8h.xhtml',1,'']]],
   ['inesimplekernel',['INESimpleKernel',['../namespacearm__compute.xhtml#a4aad0c49ce3d7cf4693830398f190250',1,'arm_compute']]],
   ['inesimplekernel_2eh',['INESimpleKernel.h',['../_i_n_e_simple_kernel_8h.xhtml',1,'']]],
   ['inewarpkernel',['INEWarpKernel',['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml',1,'INEWarpKernel'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7acfff8355cadd1f4a467a82d05df75a',1,'arm_compute::INEWarpKernel::INEWarpKernel()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a581f7b74a46de81c682247ed0890e326',1,'arm_compute::INEWarpKernel::INEWarpKernel(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a516a474c9b15858d827afbfa3e7e6060',1,'arm_compute::INEWarpKernel::INEWarpKernel(INEWarpKernel &amp;&amp;)=default']]],
   ['inewinogradlayertransforminputkernel',['INEWinogradLayerTransformInputKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml',1,'arm_compute']]],
   ['inewinogradlayertransformoutputkernel',['INEWinogradLayerTransformOutputKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml',1,'arm_compute']]],
   ['inewinogradlayertransformweightskernel',['INEWinogradLayerTransformWeightsKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml',1,'INEWinogradLayerTransformWeightsKernel&lt; T &gt;'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a2113b7c594eeb55ea4c4d7ed23b01f74',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#abd794d0a9e67047c532645078f773553',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#aaadab47aee543f94771e81b16517b1d5',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel()']]],
-  ['info',['info',['../classarm__compute_1_1_i_h_o_g.xhtml#a4e9b5d4ab15fd9009b463861c1a19dbd',1,'arm_compute::IHOG::info()'],['../classarm__compute_1_1_i_multi_image.xhtml#a38261214e277cba5b90dd1ffe31170e0',1,'arm_compute::IMultiImage::info()'],['../classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b',1,'arm_compute::IPyramid::info()'],['../classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237',1,'arm_compute::ITensor::info() const =0'],['../classarm__compute_1_1_i_tensor.xhtml#a7e6b5e55a2914b1fb1966310e7733ac4',1,'arm_compute::ITensor::info()=0'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7',1,'arm_compute::graph::BoundingBoxTransformLayerNode::info()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab',1,'arm_compute::graph::FullyConnectedLayerNode::info()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f',1,'arm_compute::graph::GenerateProposalsLayerNode::info()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df',1,'arm_compute::graph::UpsampleLayerNode::info()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae455892b8843f8bd868bbb7ba3359d1d',1,'arm_compute::graph::DotGraphVisitor::info()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::CLHOG::info()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::CLMultiImage::info()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::CLPyramid::info()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::CLSubTensor::info() const override'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::CLSubTensor::info() override'],['../classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::CLTensor::info() const override'],['../classarm__compute_1_1_c_l_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::CLTensor::info() override'],['../classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::GCTensor::info() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::GCTensor::info() override'],['../classarm__compute_1_1_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::HOG::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3',1,'arm_compute::ITensorAllocator::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af3461a6d7c86f09c854cbb7ab5578c4e',1,'arm_compute::ITensorAllocator::info() const'],['../classarm__compute_1_1_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::MultiImage::info()'],['../classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::Pyramid::info()'],['../classarm__compute_1_1_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::SubTensor::info() const override'],['../classarm__compute_1_1_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::SubTensor::info() override'],['../classarm__compute_1_1_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::Tensor::info() const override'],['../classarm__compute_1_1_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::Tensor::info() override'],['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a551b723eafd6a31d444fcb2f5920fbd3',1,'arm_compute::logging::INFO()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc',1,'arm_compute::test::validation::info()']]],
-  ['init',['init',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a9f976367edcd9ab787375373e050b94b',1,'arm_compute::CLKernelLibrary::init()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#abe24625d55f2fb35da7e293e5e28d483',1,'arm_compute::GCKernelLibrary::init()'],['../classarm__compute_1_1_h_o_g_info.xhtml#a75215e8ba07a5ec88ee8c902e306e887',1,'arm_compute::HOGInfo::init()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImageInfo::init()'],['../classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, size_t width, size_t height, Format format)'],['../classarm__compute_1_1_pyramid_info.xhtml#a51a4719902c69a814ccc638963b3074e',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63',1,'arm_compute::TensorInfo::init(Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a999abf93eb224a2aee25de3309571d4e',1,'arm_compute::TensorInfo::init(size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#ac745167b7289cd4510034dbe81d5052a',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a4a09eca3bb738e38daa8445461bfaf1f',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea',1,'arm_compute::TensorInfo::init(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::CLHOG::init()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::CLMultiImage::init()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::CLPyramid::init()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#acd4c34ea8e54a0bbbf51211b08399ae7',1,'arm_compute::CLScheduler::init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9120bd38578ddee701b5526dfe2369db',1,'arm_compute::GCScheduler::init()'],['../classarm__compute_1_1_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::HOG::init()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a4ef157737b45c46f115e14b425512800',1,'arm_compute::ILutAllocator::init()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed',1,'arm_compute::ITensorAllocator::init()'],['../classarm__compute_1_1_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImage::init()'],['../classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::Pyramid::init()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4',1,'arm_compute::TensorAllocator::init()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a47fbbce86aea0ba4a9d539c069f840c9',1,'arm_compute::test::framework::Framework::init()']]],
+  ['info',['info',['../classarm__compute_1_1_i_h_o_g.xhtml#a4e9b5d4ab15fd9009b463861c1a19dbd',1,'arm_compute::IHOG::info()'],['../classarm__compute_1_1_i_multi_image.xhtml#a38261214e277cba5b90dd1ffe31170e0',1,'arm_compute::IMultiImage::info()'],['../classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b',1,'arm_compute::IPyramid::info()'],['../classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237',1,'arm_compute::ITensor::info() const =0'],['../classarm__compute_1_1_i_tensor.xhtml#a7e6b5e55a2914b1fb1966310e7733ac4',1,'arm_compute::ITensor::info()=0'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7',1,'arm_compute::graph::BoundingBoxTransformLayerNode::info()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab',1,'arm_compute::graph::FullyConnectedLayerNode::info()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f',1,'arm_compute::graph::GenerateProposalsLayerNode::info()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df',1,'arm_compute::graph::UpsampleLayerNode::info()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae455892b8843f8bd868bbb7ba3359d1d',1,'arm_compute::graph::DotGraphVisitor::info()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::CLHOG::info()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::CLMultiImage::info()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::CLPyramid::info()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::CLSubTensor::info() const override'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::CLSubTensor::info() override'],['../classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::CLTensor::info() const override'],['../classarm__compute_1_1_c_l_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::CLTensor::info() override'],['../classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::GCTensor::info() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::GCTensor::info() override'],['../classarm__compute_1_1_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::HOG::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3',1,'arm_compute::ITensorAllocator::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af3461a6d7c86f09c854cbb7ab5578c4e',1,'arm_compute::ITensorAllocator::info() const'],['../classarm__compute_1_1_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::MultiImage::info()'],['../classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::Pyramid::info()'],['../classarm__compute_1_1_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::SubTensor::info() const override'],['../classarm__compute_1_1_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::SubTensor::info() override'],['../classarm__compute_1_1_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::Tensor::info() const override'],['../classarm__compute_1_1_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::Tensor::info() override'],['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a551b723eafd6a31d444fcb2f5920fbd3',1,'arm_compute::logging::INFO()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c',1,'arm_compute::test::validation::info()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa49dc5afff07b86be9d319b2947a10cd',1,'arm_compute::test::validation::info() -&gt; set_format(Format::S16)']]],
+  ['init',['init',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a9f976367edcd9ab787375373e050b94b',1,'arm_compute::CLKernelLibrary::init()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#abe24625d55f2fb35da7e293e5e28d483',1,'arm_compute::GCKernelLibrary::init()'],['../classarm__compute_1_1_h_o_g_info.xhtml#a75215e8ba07a5ec88ee8c902e306e887',1,'arm_compute::HOGInfo::init()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImageInfo::init()'],['../classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, size_t width, size_t height, Format format)'],['../classarm__compute_1_1_pyramid_info.xhtml#a51a4719902c69a814ccc638963b3074e',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63',1,'arm_compute::TensorInfo::init(Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a999abf93eb224a2aee25de3309571d4e',1,'arm_compute::TensorInfo::init(size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#ac745167b7289cd4510034dbe81d5052a',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a4a09eca3bb738e38daa8445461bfaf1f',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea',1,'arm_compute::TensorInfo::init(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::CLHOG::init()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::CLMultiImage::init()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::CLPyramid::init()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a89be78d1ed13202968d25524b2d69393',1,'arm_compute::CLScheduler::init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9120bd38578ddee701b5526dfe2369db',1,'arm_compute::GCScheduler::init()'],['../classarm__compute_1_1_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::HOG::init()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a4ef157737b45c46f115e14b425512800',1,'arm_compute::ILutAllocator::init()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed',1,'arm_compute::ITensorAllocator::init()'],['../classarm__compute_1_1_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImage::init()'],['../classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::Pyramid::init()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4',1,'arm_compute::TensorAllocator::init()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a47fbbce86aea0ba4a9d539c069f840c9',1,'arm_compute::test::framework::Framework::init()']]],
   ['init_5fauto_5fpadding',['init_auto_padding',['../classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b',1,'arm_compute::TensorInfo::init_auto_padding(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a5e70695e962af8b66bea2ad092269ee3',1,'arm_compute::TensorInfo::init_auto_padding(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a9a30265f100a459de985a9f3f91db76c',1,'arm_compute::TensorInfo::init_auto_padding(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a32c7d923aa5aad1ef6afe95204c7d723',1,'arm_compute::CLMultiImage::init_auto_padding()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a0dd473fd109df68b4747ebf0f586a115',1,'arm_compute::CLPyramid::init_auto_padding()'],['../classarm__compute_1_1_multi_image.xhtml#a32c7d923aa5aad1ef6afe95204c7d723',1,'arm_compute::MultiImage::init_auto_padding()'],['../classarm__compute_1_1_pyramid.xhtml#a0dd473fd109df68b4747ebf0f586a115',1,'arm_compute::Pyramid::init_auto_padding()']]],
   ['init_5fconv',['init_conv',['../namespacearm__compute_1_1test.xhtml#a9a5cc10c5cfc190c61b60d393c8ab566',1,'arm_compute::test']]],
   ['init_5fimage',['init_image',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a283b961e6ca7b117b106c8710c7cfe81',1,'arm_compute::utils::IImageLoader']]],
@@ -237,7 +243,7 @@
   ['inplaceoperationmutator',['InPlaceOperationMutator',['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml',1,'arm_compute::graph']]],
   ['inplaceoperationmutator_2ecpp',['InPlaceOperationMutator.cpp',['../_in_place_operation_mutator_8cpp.xhtml',1,'']]],
   ['inplaceoperationmutator_2eh',['InPlaceOperationMutator.h',['../_in_place_operation_mutator_8h.xhtml',1,'']]],
-  ['input',['input',['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aed48dc7adafd9f7542a35b0482dd434f',1,'arm_compute::CLScaleKernel::input()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9',1,'arm_compute::graph::INode::input()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a324118a6721dd6b8a9b9f4e327df2bf5',1,'arm_compute::graph::Input()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5d19c046f7c6ca24d067312183e8871eaa84cc046d48610b05c21fd3670d0c829',1,'arm_compute::test::validation::reference::INPUT()']]],
+  ['input',['input',['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aed48dc7adafd9f7542a35b0482dd434f',1,'arm_compute::CLScaleKernel::input()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9',1,'arm_compute::graph::INode::input()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5d19c046f7c6ca24d067312183e8871eaa84cc046d48610b05c21fd3670d0c829',1,'arm_compute::test::validation::reference::INPUT()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a324118a6721dd6b8a9b9f4e327df2bf5',1,'arm_compute::graph::Input()']]],
   ['input_5fdimensions',['input_dimensions',['../structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f',1,'arm_compute::WinogradInfo']]],
   ['input_5fedge',['input_edge',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6bca7473aa08cb0ecba36cb5dda2badf',1,'arm_compute::graph::INode']]],
   ['input_5fedge_5fid',['input_edge_id',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a283425ac27acd897fb075e0cee215020',1,'arm_compute::graph::INode']]],
@@ -246,6 +252,7 @@
   ['input_5fhandles',['input_handles',['../_cross_layer_memory_manager_helpers_8cpp.xhtml#a7e6d1c3bf0d5e12010091e0bd57b11bf',1,'CrossLayerMemoryManagerHelpers.cpp']]],
   ['input_5fid',['input_id',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b',1,'arm_compute::graph::INode']]],
   ['input_5finfo',['input_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5',1,'arm_compute::test::validation']]],
+  ['input_5fshape',['input_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb',1,'arm_compute::test::validation']]],
   ['input_5fto_5finput_5fweights',['input_to_input_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#afa54d4a35e697cb14a38359616709681',1,'arm_compute::LSTMParams']]],
   ['inputlayer',['InputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml',1,'InputLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a8c543d7a0c50bd07dfba4bbc6ba1ee53',1,'arm_compute::graph::frontend::InputLayer::InputLayer()']]],
   ['inputnode',['InputNode',['../classarm__compute_1_1graph_1_1_input_node.xhtml',1,'InputNode'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a45cded3088bd7dcefdf86b17b143aa16',1,'arm_compute::graph::InputNode::InputNode()']]],
@@ -253,7 +260,7 @@
   ['inputnode_2eh',['InputNode.h',['../_input_node_8h.xhtml',1,'']]],
   ['inputs',['inputs',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#aa8479921c38182de22a1a1a4d24481e6',1,'arm_compute::graph::ExecutionWorkload::inputs()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a7c77caaf0ff3ccc12220871c6dfed704',1,'arm_compute::graph::INode::inputs()']]],
   ['insert_5fmemory_5fmanagement_5fctx',['insert_memory_management_ctx',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a5bd2719563383b341ad9d1186c2e9847',1,'arm_compute::graph::GraphContext']]],
-  ['instantiate',['instantiate',['../classarm__gemm_1_1_gemm_implementation.xhtml#ad3207376352d28419bdfea1b0c128f56',1,'arm_gemm::GemmImplementation::instantiate()'],['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#a4766994f469e9bc270c673800513d090',1,'arm_gemm::GemmImpl_gemv_batched::instantiate()']]],
+  ['instantiate',['instantiate',['../structarm__gemm_1_1_gemm_implementation.xhtml#a917f2fdbd576154338a51181250a1d3e',1,'arm_gemm::GemmImplementation']]],
   ['instrument',['Instrument',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml',1,'Instrument'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a44dfdf6c9c53e1b5c5eddfc58c31dc54',1,'arm_compute::test::framework::Instrument::Instrument()=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ac92db65cbe174915234b0d99b3ad4be7',1,'arm_compute::test::framework::Instrument::Instrument(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#adda867124fd5c093788f96cb2eaf67cd',1,'arm_compute::test::framework::Instrument::Instrument(Instrument &amp;&amp;)=default']]],
   ['instrument_2eh',['Instrument.h',['../_instrument_8h.xhtml',1,'']]],
   ['instrument_5ftype_5ffrom_5fname',['instrument_type_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#afd83c7910de214ea12bc25e7482892a0',1,'arm_compute::test::framework']]],
@@ -268,6 +275,7 @@
   ['int16array',['Int16Array',['../namespacearm__compute.xhtml#a69c19b38cbee8fa6680513f6ff76bbb3',1,'arm_compute']]],
   ['int32array',['Int32Array',['../namespacearm__compute.xhtml#a6af9862834629c287a81b16837b51e44',1,'arm_compute']]],
   ['int64_5fbase_5fatomics_5fsupported',['int64_base_atomics_supported',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a7406f704be6891f5a9a1c6dbc3e882df',1,'arm_compute::CLKernelLibrary']]],
+  ['int_5fdist',['int_dist',['../namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b',1,'arm_compute::test::validation']]],
   ['integer',['integer',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a5283f2dae5da803262f8deb3c71525f0',1,'arm_compute::test::framework::Measurement::Value']]],
   ['integral_5fhorizontal',['integral_horizontal',['../integral__image_8cl.xhtml#a472be6fbc82158f3eb807d9e52e3254b',1,'integral_image.cl']]],
   ['integral_5fimage',['integral_image',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d4691ec28061cbb6e38600f5f78a9bf',1,'arm_compute::test::validation::reference::integral_image(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a751a624d19add33a7c81b6260386d550',1,'arm_compute::test::validation::reference::integral_image(const SimpleTensor&lt; uint8_t &gt; &amp;src)']]],
@@ -275,6 +283,7 @@
   ['integral_5fvertical',['integral_vertical',['../integral__image_8cl.xhtml#ae909fdef8be348f0da3b730289410433',1,'integral_image.cl']]],
   ['integralimage_2ecpp',['IntegralImage.cpp',['../benchmark_2_c_l_2_integral_image_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_integral_image_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_integral_image_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_integral_image_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_integral_image_8cpp.xhtml',1,'(Global Namespace)']]],
   ['integralimage_2eh',['IntegralImage.h',['../_integral_image_8h.xhtml',1,'']]],
+  ['interleave',['interleave',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a955e0ea38fdf2cad6dbce624c7fc22a3',1,'arm_compute::GEMMLHSMatrixInfo::interleave()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a955e0ea38fdf2cad6dbce624c7fc22a3',1,'arm_compute::GEMMRHSMatrixInfo::interleave()']]],
   ['intermediate_5ftype',['intermediate_type',['../structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml#a6d8309776a9cb10567df1735666919ff',1,'arm_compute::test::common_promoted_signed_type::intermediate_type()'],['../structarm__compute_1_1test_1_1common__promoted__unsigned__type.xhtml#a2d90fb6b02a4ec5df8c995eb66b5d724',1,'arm_compute::test::common_promoted_unsigned_type::intermediate_type()']]],
   ['internalkeypoint',['InternalKeyPoint',['../structarm__compute_1_1_internal_key_point.xhtml',1,'InternalKeyPoint'],['../struct_internal_keypoint.xhtml',1,'InternalKeypoint'],['../namespacearm__compute.xhtml#a2ab89a5d0959531aac270879cdd3ed78',1,'arm_compute::InternalKeypoint()'],['../optical__flow__pyramid__lk_8cl.xhtml#ad3a2575d8a9005ddf8ce79dda76918f8',1,'InternalKeypoint():&#160;optical_flow_pyramid_lk.cl']]],
   ['interpolationpolicy',['InterpolationPolicy',['../namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9',1,'arm_compute']]],
@@ -283,19 +292,20 @@
   ['intrinsics_2eh',['intrinsics.h',['../intrinsics_8h.xhtml',1,'']]],
   ['inv_2eh',['inv.h',['../inv_8h.xhtml',1,'']]],
   ['invalidate_5fgraph',['invalidate_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a51543e8fce4ed3bd248eedd96d333099',1,'arm_compute::graph::GraphManager']]],
+  ['invsqrt_2eh',['invsqrt.h',['../invsqrt_8h.xhtml',1,'']]],
   ['invsqrt_5fop',['INVSQRT_OP',['../batchnormalization__layer_8cl.xhtml#acbe0869c7899bc8d9f0e91a6249fa970',1,'batchnormalization_layer.cl']]],
-  ['ioformatinfo',['IOFormatInfo',['../structarm__compute_1_1_i_o_format_info.xhtml',1,'IOFormatInfo'],['../structarm__compute_1_1_i_o_format_info.xhtml#aa0a9be7908d667b4d3735c4eef01a667',1,'arm_compute::IOFormatInfo::IOFormatInfo()']]],
+  ['ioformatinfo',['IOFormatInfo',['../structarm__compute_1_1_i_o_format_info.xhtml',1,'IOFormatInfo'],['../structarm__compute_1_1_i_o_format_info.xhtml#afc22bda96f8024656055390cc5f780f0',1,'arm_compute::IOFormatInfo::IOFormatInfo()']]],
   ['ipoolmanager',['IPoolManager',['../classarm__compute_1_1_i_pool_manager.xhtml',1,'arm_compute']]],
   ['ipoolmanager_2eh',['IPoolManager.h',['../_i_pool_manager_8h.xhtml',1,'']]],
   ['ipreprocessor',['IPreprocessor',['../classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml',1,'arm_compute::graph_utils']]],
   ['iprinter_2eh',['IPrinter.h',['../_i_printer_8h.xhtml',1,'']]],
   ['ipyramid',['IPyramid',['../classarm__compute_1_1_i_pyramid.xhtml',1,'arm_compute']]],
   ['ipyramid_2eh',['IPyramid.h',['../_i_pyramid_8h.xhtml',1,'']]],
-  ['iroiarray',['IROIArray',['../namespacearm__compute.xhtml#ae273be451a4d6de5fa255cb8fb09a64b',1,'arm_compute']]],
   ['is_5fa_5freshaped',['is_a_reshaped',['../classarm__compute_1_1_g_e_m_m_info.xhtml#aa7e9584d7080ca6442cec62afaff6cad',1,'arm_compute::GEMMInfo']]],
   ['is_5favailable',['is_available',['../classarm__compute_1_1_scheduler.xhtml#aec4d18b67c8b6ba13485ec9b17de0ef8',1,'arm_compute::Scheduler']]],
   ['is_5fb_5freshaped',['is_b_reshaped',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a77964edb8d16bb8ec14ddd8985e03cb0',1,'arm_compute::GEMMInfo']]],
   ['is_5fbackend_5fsupported',['is_backend_supported',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::CLDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::GCDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::NEDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#aba671d383a01749f55e49d5750646c05',1,'arm_compute::graph::backends::IDeviceBackend::is_backend_supported()']]],
+  ['is_5fbit_5fset',['is_bit_set',['../namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941',1,'arm_compute::helpers::bit_ops']]],
   ['is_5fconfigured',['is_configured',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a959cc06df096abd4449c1b9afd0ffc2f',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::is_configured()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ab7c16a89cb470f3fa85818ee85e1e1dd',1,'arm_compute::NEGEMMAssemblyDispatch::is_configured()']]],
   ['is_5fcontained',['is_contained',['../structarm__compute_1_1traits_1_1is__contained.xhtml',1,'arm_compute::traits']]],
   ['is_5fcontained_3c_20t_2c_20std_3a_3atuple_3c_20t_2c_20ts_2e_2e_2e_20_3e_20_3e',['is_contained&lt; T, std::tuple&lt; T, Ts... &gt; &gt;',['../structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_01_t_00_01_ts_8_8_8_01_4_01_4.xhtml',1,'arm_compute::traits']]],
@@ -309,8 +319,8 @@
   ['is_5fdata_5ftype_5fquantized',['is_data_type_quantized',['../namespacearm__compute.xhtml#a0bee325b210f81bb89fe1f9e15badf9c',1,'arm_compute']]],
   ['is_5fdata_5ftype_5fquantized_5fasymmetric',['is_data_type_quantized_asymmetric',['../namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f',1,'arm_compute']]],
   ['is_5fenabled',['is_enabled',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6507f40ddf408e1f124cb84fa5cbfd1e',1,'arm_compute::graph::ConcatenateLayerNode']]],
-  ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml',1,'is_floating_point&lt; T &gt;'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aea625d488d9eafbc023001f74f15f7af',1,'arm_compute::test::framework::Measurement::Value::is_floating_point()']]],
-  ['is_5ffloating_5fpoint_3c_20half_20_3e',['is_floating_point&lt; half &gt;',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml',1,'arm_compute::test::validation']]],
+  ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml',1,'is_floating_point&lt; T &gt;'],['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point.xhtml',1,'is_floating_point&lt; T &gt;'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aea625d488d9eafbc023001f74f15f7af',1,'arm_compute::test::framework::Measurement::Value::is_floating_point()']]],
+  ['is_5ffloating_5fpoint_3c_20half_20_3e',['is_floating_point&lt; half &gt;',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point&lt; half &gt;'],['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point&lt; half &gt;']]],
   ['is_5ffortran',['is_fortran',['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76',1,'arm_compute::utils::NPYLoader']]],
   ['is_5fglobal_5fpooling',['is_global_pooling',['../classarm__compute_1_1_pooling_layer_info.xhtml#a00bcea78a50c94ef3dc2a280b9ed8a7a',1,'arm_compute::PoolingLayerInfo']]],
   ['is_5fin_5fmap',['is_in_map',['../classarm__compute_1_1_normalization_layer_info.xhtml#a9f8e7c7833f47804091414a46bef67d6',1,'arm_compute::NormalizationLayerInfo']]],
@@ -320,14 +330,15 @@
   ['is_5fopen',['is_open',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a25c255918a7306769a9e3886166af935',1,'arm_compute::utils::IImageLoader::is_open()'],['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#ab1d89f579133c9b6779d43f4a1489874',1,'arm_compute::utils::PPMLoader::is_open()'],['../classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#ab1d89f579133c9b6779d43f4a1489874',1,'arm_compute::utils::JPEGLoader::is_open()'],['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a',1,'arm_compute::utils::NPYLoader::is_open()']]],
   ['is_5foptimized_5fexecution_5fpossible',['is_optimized_execution_possible',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ae47fcb26c0f980ff3bbf89bec9086c54',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel']]],
   ['is_5fparallel_5freduction',['is_parallel_reduction',['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a78a33824fc1fd7c44535530ebd917eb4',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel']]],
-  ['is_5fparallelisable',['is_parallelisable',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CLFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPSortEuclideanDistanceKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPUpsampleKernel::is_parallelisable()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::GCFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b',1,'arm_compute::IKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEEdgeTraceKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEChannelCombineKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NECumulativeDistributionKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEFillArrayKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEIntegralImageKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEMinMaxLocationKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::is_parallelisable()']]],
-  ['is_5frecommended',['is_recommended',['../classarm__gemm_1_1_gemm_implementation.xhtml#a125b133eec3182fee84f6c148e502e55',1,'arm_gemm::GemmImplementation']]],
+  ['is_5fparallelisable',['is_parallelisable',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CLFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPSortEuclideanDistanceKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPTopKVKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPUpsampleKernel::is_parallelisable()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::GCFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b',1,'arm_compute::IKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEEdgeTraceKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEChannelCombineKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NECumulativeDistributionKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEFillArrayKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEIntegralImageKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEMinMaxLocationKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::is_parallelisable()']]],
+  ['is_5frecommended',['is_recommended',['../structarm__gemm_1_1_gemm_implementation.xhtml#a74a9e12f5dec70507771f4e1c8041258',1,'arm_gemm::GemmImplementation']]],
   ['is_5frequired',['is_required',['../classarm__compute_1_1utils_1_1_option.xhtml#ae5fcbfe1e97213aae098a4c0dc48ffe5',1,'arm_compute::utils::Option']]],
   ['is_5fresizable',['is_resizable',['../classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b',1,'arm_compute::ITensorInfo::is_resizable()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3',1,'arm_compute::SubTensorInfo::is_resizable()'],['../classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3',1,'arm_compute::TensorInfo::is_resizable()']]],
+  ['is_5fscaled',['is_scaled',['../classarm__compute_1_1_normalization_layer_info.xhtml#a97a1f3636f40206d67ff65902f7ff3a3',1,'arm_compute::NormalizationLayerInfo']]],
   ['is_5fselected',['is_selected',['../classarm__compute_1_1test_1_1framework_1_1_test_filter.xhtml#aa1631aec5fb0586629d6f634ffe6f8b4',1,'arm_compute::test::framework::TestFilter']]],
   ['is_5fset',['is_set',['../classarm__compute_1_1utils_1_1_option.xhtml#a8d75095e0ce4d0cc3ed6bc4733664a74',1,'arm_compute::utils::Option']]],
   ['is_5fsubtensor',['is_subtensor',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::CLSubTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::CLTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::GCTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::NESubTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::NETensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a291db670564498da17c4485776cb7783',1,'arm_compute::graph::ITensorHandle::is_subtensor()']]],
-  ['is_5fsupported',['is_supported',['../classarm__gemm_1_1_gemm_implementation.xhtml#a63e09c4b4bc29ae69b409c82df9d2e45',1,'arm_gemm::GemmImplementation::is_supported()'],['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#a266a06aeda864a1e05e15a3db9b2acd4',1,'arm_gemm::GemmImpl_gemv_batched::is_supported()']]],
+  ['is_5fsupported',['is_supported',['../structarm__gemm_1_1_gemm_implementation.xhtml#a4feb7e27f716098b2ed543390f475cde',1,'arm_gemm::GemmImplementation']]],
   ['is_5ftarget_5fsupported',['is_target_supported',['../namespacearm__compute_1_1graph.xhtml#a6fd498c55b126dc3f078d38e8528effb',1,'arm_compute::graph']]],
   ['is_5fused',['is_used',['../classarm__compute_1_1_i_tensor.xhtml#a209ea2ddfdfa80703799c92da8beb643',1,'arm_compute::ITensor']]],
   ['is_5fvalid_5fpixel',['is_valid_pixel',['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml#a03098570a566d97570169cb6d3106b6e',1,'arm_compute::test::convolution_3d::detail']]],
@@ -360,7 +371,7 @@
   ['iterate_5f2d',['iterate_2D',['../classarm__compute_1_1_window_iterator.xhtml#afe28f7af9bc72174c40a983bd63736da',1,'arm_compute::WindowIterator']]],
   ['iterate_5f3d',['iterate_3D',['../classarm__compute_1_1_window_iterator.xhtml#af80b51b60eba1fd0d9a83a757b0f3241',1,'arm_compute::WindowIterator']]],
   ['iterations',['iterations',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#afcea4ca06109422a01d4d844c92ce6d1',1,'arm_compute::test::framework::CommonOptions']]],
-  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset&lt; T, U &gt;::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset&lt; T, U &gt;::iterator'],['../classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b',1,'arm_compute::Iterator::Iterator()'],['../classarm__compute_1_1_iterator.xhtml#a92d6469b972ef1e52b55b1ad7da70b02',1,'arm_compute::Iterator::Iterator(const ITensor *tensor, const Window &amp;window)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const T_noref *dataset1, const U_noref *dataset2)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a0ceb4c44b179fa8d4d0f465ad5ce54e8',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#aca6a8613ae6d8960ace1c8894676ed3c',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#aa37b0870ac5c83d3181958225612be23',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a50a1c3269c88594989f4af782c3fc56f',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(std::string name, const T *value)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a81fdfd452825aa691b6f619ab4f4b349',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::iterator()']]],
+  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset&lt; T &gt;::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator'],['../classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b',1,'arm_compute::Iterator::Iterator()'],['../classarm__compute_1_1_iterator.xhtml#a92d6469b972ef1e52b55b1ad7da70b02',1,'arm_compute::Iterator::Iterator(const ITensor *tensor, const Window &amp;window)'],['../classarm__gemm_1_1_n_d_range.xhtml#a78a5c697e8717cb27954513e8ad2a508',1,'arm_gemm::NDRange::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const T_noref *dataset1, const U_noref *dataset2)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a0ceb4c44b179fa8d4d0f465ad5ce54e8',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#aca6a8613ae6d8960ace1c8894676ed3c',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#aa37b0870ac5c83d3181958225612be23',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a50a1c3269c88594989f4af782c3fc56f',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(std::string name, const T *value)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a81fdfd452825aa691b6f619ab4f4b349',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::iterator()']]],
   ['iuint16array',['IUInt16Array',['../namespacearm__compute.xhtml#a1ffe8af91a934c926d102938db8d3ce1',1,'arm_compute']]],
   ['iuint32array',['IUInt32Array',['../namespacearm__compute.xhtml#ac9b2a6fa6e146437bfc8c0bee96e4760',1,'arm_compute']]],
   ['iuint8array',['IUInt8Array',['../namespacearm__compute.xhtml#a276401fd5651e75431d3e1cc90601caa',1,'arm_compute']]],
diff --git a/documentation/search/all_b.html b/documentation/search/all_b.html
index 0814e4e..44ae3e4 100644
--- a/documentation/search/all_b.html
+++ b/documentation/search/all_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_b.js b/documentation/search/all_b.js
index 16e651e..347b653 100644
--- a/documentation/search/all_b.js
+++ b/documentation/search/all_b.js
@@ -4,6 +4,7 @@
   ['join_5fparam',['JOIN_PARAM',['../tests_2framework_2_macros_8h.xhtml#adbfdccc4c864135d8020801232d54bd1',1,'Macros.h']]],
   ['join_5fparam1',['JOIN_PARAM1',['../tests_2framework_2_macros_8h.xhtml#acdd2ac75560db81371f4053e6465a0eb',1,'Macros.h']]],
   ['join_5fparam10',['JOIN_PARAM10',['../tests_2framework_2_macros_8h.xhtml#a4d997912b340aca63b12b84330f8a4bc',1,'Macros.h']]],
+  ['join_5fparam11',['JOIN_PARAM11',['../tests_2framework_2_macros_8h.xhtml#a09c3797bb57c8135de9f9e9557e66bab',1,'Macros.h']]],
   ['join_5fparam2',['JOIN_PARAM2',['../tests_2framework_2_macros_8h.xhtml#a35d1497660f569a76fe4de6bebf67c9a',1,'Macros.h']]],
   ['join_5fparam3',['JOIN_PARAM3',['../tests_2framework_2_macros_8h.xhtml#afedfb2831ec629f6445b1d4d5ed30154',1,'Macros.h']]],
   ['join_5fparam4',['JOIN_PARAM4',['../tests_2framework_2_macros_8h.xhtml#a43ee597995dd64cfabd52d2342342855',1,'Macros.h']]],
diff --git a/documentation/search/all_c.html b/documentation/search/all_c.html
index da08c38..3de1586 100644
--- a/documentation/search/all_c.html
+++ b/documentation/search/all_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_c.js b/documentation/search/all_c.js
index e909319..ec90a6b 100644
--- a/documentation/search/all_c.js
+++ b/documentation/search/all_c.js
@@ -1,12 +1,15 @@
 var searchData=
 [
   ['k',['k',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#ab86946326c4e33cbfb38cef7312b4ae5',1,'arm_compute::GEMMReshapeInfo']]],
+  ['k0',['k0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a9bca3aa421b5fa7c07b0aa751b39b25f',1,'arm_compute::GEMMLHSMatrixInfo::k0()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a9bca3aa421b5fa7c07b0aa751b39b25f',1,'arm_compute::GEMMRHSMatrixInfo::k0()']]],
+  ['k0_5fvalue',['k0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f1eccdb6a9f54d08868ca08cdc6d4a8',1,'arm_compute::test::validation']]],
   ['kappa',['kappa',['../classarm__compute_1_1_normalization_layer_info.xhtml#afb71e43799c794c059aa2d6244bd3140',1,'arm_compute::NormalizationLayerInfo']]],
+  ['keep_5ftop_5fk',['keep_top_k',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a381583deeb7c92f3b86d959c1e6c8185',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['kernel',['Kernel',['../classarm__compute_1_1_kernel.xhtml',1,'Kernel'],['../classarm__compute_1_1_kernel.xhtml#a4d7fb588e6d609d95d8cd491492ed420',1,'arm_compute::Kernel::Kernel()'],['../classarm__compute_1_1_kernel.xhtml#a83af2718294984c1053223a928164a7b',1,'arm_compute::Kernel::Kernel(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a1d1e423ba4b26fdf460aa45bbc4457d1',1,'arm_compute::Kernel::Kernel(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a8b2bcac315357d36294d68948e51b925',1,'arm_compute::Kernel::Kernel(std::string name, const cl::Program &amp;program)'],['../classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e',1,'arm_compute::ICLKernel::kernel()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a3b8f9d088e013cfbb039fd0ebbe42589',1,'arm_compute::IGCKernel::kernel()']]],
   ['kernel_5fevent_5fis_5fset',['kernel_event_is_set',['../classarm__compute_1_1_c_l_tuner.xhtml#ac6fe363cafdd1fcfb6179a7cceac7dad',1,'arm_compute::CLTuner']]],
   ['kernel_5finfo',['kernel_info',['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml',1,'arm_compute::test::framework::SchedulerClock']]],
   ['kernel_5fsize',['kernel_size',['../structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac',1,'arm_compute::WinogradInfo::kernel_size()'],['../classarm__compute_1_1_weights_info.xhtml#a1fba899b6ce8e0a8f4091031d75b0241',1,'arm_compute::WeightsInfo::kernel_size()']]],
-  ['keypoint',['KeyPoint',['../structarm__compute_1_1_key_point.xhtml',1,'KeyPoint'],['../struct_keypoint.xhtml',1,'Keypoint'],['../src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml#a29b97e206612aa5366b3bd3d2f7be322',1,'Keypoint():&#160;types.h']]],
+  ['keypoint',['Keypoint',['../struct_keypoint.xhtml',1,'Keypoint'],['../structarm__compute_1_1_key_point.xhtml',1,'KeyPoint'],['../src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml#a29b97e206612aa5366b3bd3d2f7be322',1,'Keypoint():&#160;types.h']]],
   ['keypoint_5fcompare',['keypoint_compare',['../_c_p_p_corner_candidates_kernel_8cpp.xhtml#aef2113e85f78a9814d6bc4253a08fbae',1,'CPPCornerCandidatesKernel.cpp']]],
   ['keypointarray',['KeyPointArray',['../namespacearm__compute.xhtml#a8856eca9a83e16bb0cb5880e9c6c9fe7',1,'arm_compute']]]
 ];
diff --git a/documentation/search/all_d.html b/documentation/search/all_d.html
index 9986c9c..a2d5bd7 100644
--- a/documentation/search/all_d.html
+++ b/documentation/search/all_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_d.js b/documentation/search/all_d.js
index 0377908..12ac592 100644
--- a/documentation/search/all_d.js
+++ b/documentation/search/all_d.js
@@ -16,6 +16,7 @@
   ['l2norm',['L2NORM',['../namespacearm__compute.xhtml#a7b3ec6413f000b02fdb4e39a951d9f8aad927ac799e8b24f80fc80d89b2eb7131',1,'arm_compute']]],
   ['l2normalizelayer_2ecpp',['L2NormalizeLayer.cpp',['../benchmark_2_c_l_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['l2normalizelayer_2eh',['L2NormalizeLayer.h',['../_l2_normalize_layer_8h.xhtml',1,'']]],
+  ['labelbbox',['LabelBBox',['../namespacearm__compute.xhtml#a668a7893195a4a08c4d26afd2b15a6b4',1,'arm_compute']]],
   ['labels',['labels',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c',1,'arm_compute::utils::CommonGraphParams::labels()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a21ea35d20a82601710f523bc964c59a3',1,'arm_compute::utils::CommonGraphOptions::labels()']]],
   ['laplacian_5fpyramid',['laplacian_pyramid',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9690bfc083c18c7ec979778313b4a31a',1,'arm_compute::test::validation::reference::laplacian_pyramid(const SimpleTensor&lt; T &gt; &amp;src, SimpleTensor&lt; U &gt; &amp;dst, size_t num_levels, BorderMode border_mode, uint8_t constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a003f24c0e07ebd5b89e1f2ada836c56d',1,'arm_compute::test::validation::reference::laplacian_pyramid(const SimpleTensor&lt; uint8_t &gt; &amp;src, SimpleTensor&lt; int16_t &gt; &amp;dst, size_t num_levels, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['laplacian_5freconstruct',['laplacian_reconstruct',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab0a9e8fb83e2019bcd3d8ce483a98b7a',1,'arm_compute::test::validation::reference::laplacian_reconstruct(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;pyramid, const SimpleTensor&lt; T &gt; &amp;low_res, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4794e4b738ec7107c503c2b67c63d28c',1,'arm_compute::test::validation::reference::laplacian_reconstruct(const std::vector&lt; SimpleTensor&lt; int16_t &gt;&gt; &amp;pyramid, const SimpleTensor&lt; int16_t &gt; &amp;low_res, BorderMode border_mode, int16_t constant_border_value)']]],
@@ -27,6 +28,8 @@
   ['layout',['layout',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e',1,'arm_compute::graph::TensorDescriptor']]],
   ['leaky_5frelu',['LEAKY_RELU',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10',1,'arm_compute::ActivationLayerInfo']]],
   ['left',['left',['../structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba',1,'arm_compute::BorderSize']]],
+  ['less',['LESS',['../comparisons_8cl.xhtml#ab57cc7442cb60d5e4cba22ca35986c18',1,'LESS():&#160;comparisons.cl'],['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b',1,'arm_compute::Less()']]],
+  ['lessequal',['LessEqual',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38',1,'arm_compute::LessEqual()'],['../comparisons_8cl.xhtml#a6bc14fa19faf519c3cfa55b660ef5e06',1,'LESSEQUAL():&#160;comparisons.cl']]],
   ['level',['level',['../classarm__compute_1_1test_1_1framework_1_1_test_error.xhtml#a01ff177012854b9a35d86825a3a8eabd',1,'arm_compute::test::framework::TestError']]],
   ['library',['library',['../namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f',1,'arm_compute::test']]],
   ['lifetime_5fmanager',['lifetime_manager',['../classarm__compute_1_1_i_memory_manager.xhtml#ab065826e9ee10f61d681b2103eaa74ed',1,'arm_compute::IMemoryManager::lifetime_manager()'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#aad48fab4c4e70a4eedd86e95c94b1f04',1,'arm_compute::MemoryManagerOnDemand::lifetime_manager()']]],
@@ -55,8 +58,9 @@
   ['locallyconnected_2eh',['LocallyConnected.h',['../_locally_connected_8h.xhtml',1,'']]],
   ['locallyconnectedlayer_2ecpp',['LocallyConnectedLayer.cpp',['../_c_l_2_locally_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_locally_connected_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['lock_5fpool',['lock_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#abab838bc75d6ecf91c0c278fff0e3d6f',1,'arm_compute::IPoolManager::lock_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#a8c9b1303494f430941f09e2ad47f9055',1,'arm_compute::PoolManager::lock_pool()']]],
+  ['lock_5fto_5freshape_5fif_5fneeded',['lock_to_reshape_if_needed',['../classarm__compute_1_1_i_buffer_manager.xhtml#aa724f24e6a4209431ca34e44bac30efd',1,'arm_compute::IBufferManager']]],
   ['log',['log',['../classarm__compute_1_1logging_1_1_logger.xhtml#a50292ee16d3334856912eb89cffbcf83',1,'arm_compute::logging::Logger::log(LogLevel log_level, const std::string &amp;msg)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a88fd6412cd6130ea020aa6447caab747',1,'arm_compute::logging::Logger::log(LogLevel log_level, const std::string &amp;fmt, Ts &amp;&amp;... args)']]],
-  ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'']]],
+  ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2wrapper_2intrinsics_2_log_8h.xhtml',1,'(Global Namespace)']]],
   ['log_5ffailed_5fexpectation',['log_failed_expectation',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0128e62cd67888b56078dac05dd59761',1,'arm_compute::test::framework::Framework']]],
   ['log_5ffile',['log_file',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a065c10f895678f9b6736ae281d947f8f',1,'arm_compute::test::framework::CommonOptions']]],
   ['log_5fformat',['log_format',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#acc1ed4a8cb9f3f7b10345fded373239c',1,'arm_compute::test::framework::CommonOptions']]],
@@ -72,14 +76,13 @@
   ['log_5ftest_5fstart',['log_test_start',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8135a21178dd34ec3b334b83381269a',1,'arm_compute::test::framework::Framework']]],
   ['log_5fvector_5fsize',['LOG_VECTOR_SIZE',['../softmax__layer_8cl.xhtml#a372393c380805985b813dbb16d589a64',1,'LOG_VECTOR_SIZE():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#a372393c380805985b813dbb16d589a64',1,'LOG_VECTOR_SIZE():&#160;softmax_layer_quantized.cl']]],
   ['logformat',['LogFormat',['../namespacearm__compute_1_1test_1_1framework.xhtml#a043aa97de3c71ad015852f46ec4cc6ad',1,'arm_compute::test::framework']]],
-  ['logger',['Logger',['../classarm__compute_1_1logging_1_1_logger.xhtml',1,'Logger'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a421744d0932b362cbff55c07488c1356',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::shared_ptr&lt; Printer &gt; printer)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a01f79c5a395126e28073498412c67df6',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers={})'],['../classarm__compute_1_1logging_1_1_logger.xhtml#afcbbbc3fb4ed100c21f274a9862c63ae',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers, std::vector&lt; std::unique_ptr&lt; IDecorator &gt;&gt; decorators)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a75f49292d95d30b860d000005cf179a1',1,'arm_compute::logging::Logger::Logger(Logger &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_logger.xhtml#aa7f3dbfbd2426b4874750f08bd23bd7f',1,'arm_compute::logging::Logger::Logger(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a5f299e6e397e718ede2547ed94bce835',1,'arm_compute::logging::LoggerRegistry::logger()']]],
+  ['logger',['Logger',['../classarm__compute_1_1logging_1_1_logger.xhtml',1,'Logger'],['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a5f299e6e397e718ede2547ed94bce835',1,'arm_compute::logging::LoggerRegistry::logger()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a421744d0932b362cbff55c07488c1356',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::shared_ptr&lt; Printer &gt; printer)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a01f79c5a395126e28073498412c67df6',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers={})'],['../classarm__compute_1_1logging_1_1_logger.xhtml#afcbbbc3fb4ed100c21f274a9862c63ae',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers, std::vector&lt; std::unique_ptr&lt; IDecorator &gt;&gt; decorators)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a75f49292d95d30b860d000005cf179a1',1,'arm_compute::logging::Logger::Logger(Logger &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_logger.xhtml#aa7f3dbfbd2426b4874750f08bd23bd7f',1,'arm_compute::logging::Logger::Logger(const Logger &amp;)=delete']]],
   ['logger_2ecpp',['Logger.cpp',['../_logger_8cpp.xhtml',1,'']]],
   ['logger_2eh',['Logger.h',['../core_2utils_2logging_2_logger_8h.xhtml',1,'(Global Namespace)'],['../graph_2_logger_8h.xhtml',1,'(Global Namespace)']]],
   ['loggerregistry',['LoggerRegistry',['../classarm__compute_1_1logging_1_1_logger_registry.xhtml',1,'arm_compute::logging']]],
   ['loggerregistry_2ecpp',['LoggerRegistry.cpp',['../_logger_registry_8cpp.xhtml',1,'']]],
   ['loggerregistry_2eh',['LoggerRegistry.h',['../_logger_registry_8h.xhtml',1,'']]],
   ['logistic',['logistic',['../structarm__compute_1_1detail_1_1logistic.xhtml',1,'logistic&lt; T, S &gt;'],['../structarm__compute_1_1detail_1_1logistic.xhtml#acc88ba0c63f13eb31d3ea818a04dbd90',1,'arm_compute::detail::logistic::logistic()'],['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d',1,'arm_compute::ActivationLayerInfo::LOGISTIC()']]],
-  ['logistic_5fop',['logistic_op',['../activation__layer__qa8_8cl.xhtml#a7c4dbd924da062c3dc248dcc4993884e',1,'activation_layer_qa8.cl']]],
   ['loglevel',['LogLevel',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9',1,'arm_compute::logging::LogLevel()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9',1,'arm_compute::test::framework::LogLevel()']]],
   ['logleveldecorator',['LogLevelDecorator',['../classarm__compute_1_1logging_1_1_log_level_decorator.xhtml',1,'arm_compute::logging']]],
   ['logmsg',['LogMsg',['../structarm__compute_1_1logging_1_1_log_msg.xhtml',1,'LogMsg'],['../structarm__compute_1_1logging_1_1_log_msg.xhtml#a7a52b7ac5573a192829860829803041c',1,'arm_compute::logging::LogMsg::LogMsg()'],['../structarm__compute_1_1logging_1_1_log_msg.xhtml#a8c55b53c8a48244a70681a7e09f08045',1,'arm_compute::logging::LogMsg::LogMsg(std::string msg, LogLevel log_level=LogLevel::OFF)']]],
diff --git a/documentation/search/all_e.html b/documentation/search/all_e.html
index 9fa42bb..f9a056d 100644
--- a/documentation/search/all_e.html
+++ b/documentation/search/all_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_e.js b/documentation/search/all_e.js
index d913153..ccb2b30 100644
--- a/documentation/search/all_e.js
+++ b/documentation/search/all_e.js
@@ -1,6 +1,8 @@
 var searchData=
 [
   ['m',['m',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a137948e04c296b448be2c0de97c6adcb',1,'arm_compute::GEMMReshapeInfo']]],
+  ['m0',['m0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a41618231c7d7b990c42fe6846b4dde27',1,'arm_compute::GEMMLHSMatrixInfo']]],
+  ['m0_5fvalue',['m0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#aceda8c228bbcc0e305cc66b0c24f433d',1,'arm_compute::test::validation']]],
   ['macros_2eh',['Macros.h',['../arm__compute_2core_2utils_2logging_2_macros_8h.xhtml',1,'(Global Namespace)'],['../tests_2framework_2_macros_8h.xhtml',1,'(Global Namespace)']]],
   ['magnitude',['magnitude',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6aa278cb3dd1777e7338c5e573c55550',1,'arm_compute::test::validation::reference::magnitude(const SimpleTensor&lt; T &gt; &amp;gx, const SimpleTensor&lt; T &gt; &amp;gy, MagnitudeType magnitude_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a995eabbadd759c83f7b7aab6e10e9233',1,'arm_compute::test::validation::reference::magnitude(const SimpleTensor&lt; int16_t &gt; &amp;gx, const SimpleTensor&lt; int16_t &gt; &amp;gy, MagnitudeType magnitude_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff3d2b7e208311d2634462aa53e9fc18',1,'arm_compute::test::validation::reference::magnitude(const SimpleTensor&lt; int32_t &gt; &amp;gx, const SimpleTensor&lt; int32_t &gt; &amp;gy, MagnitudeType magnitude_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4ecd02d1b87ae5c50785537bf549839c',1,'arm_compute::test::validation::reference::magnitude(const SimpleTensor&lt; half_float::half &gt; &amp;gx, const SimpleTensor&lt; half_float::half &gt; &amp;gy, MagnitudeType magnitude_type)']]],
   ['magnitude_2ecpp',['Magnitude.cpp',['../benchmark_2_c_l_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_magnitude_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_magnitude_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -11,7 +13,7 @@
   ['magnitude_5fphase',['magnitude_phase',['../magnitude__phase_8cl.xhtml#a76ac02e1f05a26f67090c9464434e04a',1,'magnitude_phase.cl']]],
   ['magnitude_5fphase_2ecl',['magnitude_phase.cl',['../magnitude__phase_8cl.xhtml',1,'']]],
   ['magnitudetype',['MagnitudeType',['../namespacearm__compute.xhtml#a7b3ec6413f000b02fdb4e39a951d9f8a',1,'arm_compute']]],
-  ['main',['main',['../cl__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_convolution.cpp'],['../cl__events_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_events.cpp'],['../cl__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_sgemm.cpp'],['../gc__absdiff_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_absdiff.cpp'],['../gc__dc_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_dc.cpp'],['../graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_alexnet.cpp'],['../graph__googlenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_googlenet.cpp'],['../graph__inception__resnet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v2.cpp'],['../graph__inception__v3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v3.cpp'],['../graph__inception__v4_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v4.cpp'],['../graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_lenet.cpp'],['../graph__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet.cpp'],['../graph__mobilenet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet_v2.cpp'],['../graph__resnet50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet50.cpp'],['../graph__resnet__v2__50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet_v2_50.cpp'],['../graph__resnext50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnext50.cpp'],['../graph__shufflenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_shufflenet.cpp'],['../graph__squeezenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet.cpp'],['../graph__squeezenet__v1__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet_v1_1.cpp'],['../graph__vgg16_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg16.cpp'],['../graph__vgg19_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg19.cpp'],['../graph__yolov3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_yolov3.cpp'],['../neon__cartoon__effect_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cartoon_effect.cpp'],['../neon__cnn_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cnn.cpp'],['../neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_convolution.cpp'],['../neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_copy_objects.cpp'],['../neon__scale_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_scale.cpp'],['../neon__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_sgemm.cpp'],['../neoncl__scale__median__gaussian_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neoncl_scale_median_gaussian.cpp'],['../main_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;main.cpp']]],
+  ['main',['main',['../cl__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_convolution.cpp'],['../cl__events_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_events.cpp'],['../cl__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_sgemm.cpp'],['../gc__absdiff_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_absdiff.cpp'],['../gc__dc_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_dc.cpp'],['../graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_alexnet.cpp'],['../graph__googlenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_googlenet.cpp'],['../graph__inception__resnet__v1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v1.cpp'],['../graph__inception__resnet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v2.cpp'],['../graph__inception__v3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v3.cpp'],['../graph__inception__v4_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v4.cpp'],['../graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_lenet.cpp'],['../graph__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet.cpp'],['../graph__mobilenet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet_v2.cpp'],['../graph__resnet12_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet12.cpp'],['../graph__resnet50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet50.cpp'],['../graph__resnet__v2__50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet_v2_50.cpp'],['../graph__resnext50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnext50.cpp'],['../graph__shufflenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_shufflenet.cpp'],['../graph__squeezenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet.cpp'],['../graph__squeezenet__v1__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet_v1_1.cpp'],['../graph__srcnn955_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_srcnn955.cpp'],['../graph__ssd__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_ssd_mobilenet.cpp'],['../graph__vgg16_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg16.cpp'],['../graph__vgg19_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg19.cpp'],['../graph__vgg__vdsr_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg_vdsr.cpp'],['../graph__yolov3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_yolov3.cpp'],['../neon__cartoon__effect_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cartoon_effect.cpp'],['../neon__cnn_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cnn.cpp'],['../neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_convolution.cpp'],['../neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_copy_objects.cpp'],['../neon__scale_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_scale.cpp'],['../neon__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_sgemm.cpp'],['../neoncl__scale__median__gaussian_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neoncl_scale_median_gaussian.cpp'],['../main_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;main.cpp']]],
   ['main_2ecpp',['main.cpp',['../main_8cpp.xhtml',1,'']]],
   ['make',['make',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a15cffdfdea029e4617b983044f27f25e',1,'arm_compute::test::framework::TestCaseFactory::make()'],['../classarm__compute_1_1test_1_1framework_1_1_simple_test_case_factory.xhtml#a48d02d3cc8555c4439748dfa76e5c8ea',1,'arm_compute::test::framework::SimpleTestCaseFactory::make()'],['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#a48d02d3cc8555c4439748dfa76e5c8ea',1,'arm_compute::test::framework::DataTestCaseFactory::make()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b',1,'arm_compute::test::framework::dataset::make(std::string name, T &amp;&amp;values)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a3989b2ae4676e8d55692df89c0b1840b',1,'arm_compute::test::framework::dataset::make(std::string name, std::initializer_list&lt; T &gt; &amp;&amp;list)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a79a0f3a3229c216adf314eb6030d6e24',1,'arm_compute::test::framework::dataset::make(std::string name, T start, T end, T step=1)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a295c6355f21fa6cf19ab8ef26ed2edd0',1,'arm_compute::test::framework::dataset::make(std::string name, T &amp;&amp;value)']]],
   ['make_5farg_5fparam',['MAKE_ARG_PARAM',['../tests_2framework_2_macros_8h.xhtml#a79d59e55eaa189335dddf51c1e016d8b',1,'Macros.h']]],
@@ -34,14 +36,13 @@
   ['mapping_5ftype',['mapping_type',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::BlobLifetimeManager::mapping_type()'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::BlobMemoryPool::mapping_type()'],['../classarm__compute_1_1_i_lifetime_manager.xhtml#a2f4d2a4f6dd83e9ad1578450c31357db',1,'arm_compute::ILifetimeManager::mapping_type()'],['../classarm__compute_1_1_i_memory_pool.xhtml#a2f4d2a4f6dd83e9ad1578450c31357db',1,'arm_compute::IMemoryPool::mapping_type()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::OffsetLifetimeManager::mapping_type()'],['../classarm__compute_1_1_offset_memory_pool.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::OffsetMemoryPool::mapping_type()']]],
   ['mappings',['mappings',['../classarm__compute_1_1_i_memory_group.xhtml#aa4f0ba2c065527f486249f37350a235c',1,'arm_compute::IMemoryGroup::mappings()'],['../classarm__compute_1_1_memory_group_base.xhtml#a0a9171fb9c729a0a08b1d0ff3a5e3309',1,'arm_compute::MemoryGroupBase::mappings()']]],
   ['mappingtype',['MappingType',['../namespacearm__compute.xhtml#af0a4d6be70322c742c12da1edccbb74d',1,'arm_compute']]],
-  ['mark_5fas_5funused',['mark_as_unused',['../classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2',1,'arm_compute::ITensor']]],
+  ['mark_5fas_5freshaped',['mark_as_reshaped',['../classarm__compute_1_1_i_buffer_manager.xhtml#a5d04fd48130e6eb9863efd81f0b1e361',1,'arm_compute::IBufferManager']]],
+  ['mark_5fas_5funused',['mark_as_unused',['../classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2',1,'arm_compute::ITensor::mark_as_unused()'],['../classarm__compute_1_1_i_buffer_manager.xhtml#a69eeef30ae577be80ee40fa9d3274702',1,'arm_compute::IBufferManager::mark_as_unused()']]],
   ['mat_5findex',['MAT_INDEX',['../convolution__rectangle_8cl.xhtml#a61020724430287ed1cd963e312ca47d2',1,'convolution_rectangle.cl']]],
   ['matrix_5fmultiply',['matrix_multiply',['../namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbc4dbbbef320e2c708b895d5a26194e',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac15bf271877edef9823306e4d1cb43f5',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, SimpleTensor&lt; half &gt; &amp;out)']]],
   ['matrixpattern',['MatrixPattern',['../namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02',1,'arm_compute']]],
-  ['max',['max',['../structarm__compute_1_1_min_max_location_values.xhtml#a4b7ee8a31f634f28eb1d4d97f6159ccd',1,'arm_compute::MinMaxLocationValues::max()'],['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a549818ca69a3bd602b38701d13ef5294',1,'arm_compute::test::framework::InstrumentsStats::max()'],['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()']]],
+  ['max',['max',['../structarm__compute_1_1_min_max_location_values.xhtml#a4b7ee8a31f634f28eb1d4d97f6159ccd',1,'arm_compute::MinMaxLocationValues::max()'],['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a549818ca69a3bd602b38701d13ef5294',1,'arm_compute::test::framework::InstrumentsStats::max()'],['../elementwise__operation_8cl.xhtml#aacc3ee1a7f283f8ef65cea31f4436a95',1,'MAX():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#aacc3ee1a7f283f8ef65cea31f4436a95',1,'MAX():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()']]],
   ['max_2eh',['max.h',['../max_8h.xhtml',1,'']]],
-  ['max_5fconsecutive_5felements_5fdisplay_5fwidth',['max_consecutive_elements_display_width',['../namespacearm__compute.xhtml#adfbf24db2a651269a83f7e49e2b86850',1,'arm_compute']]],
-  ['max_5fconsecutive_5felements_5fdisplay_5fwidth_5fimpl',['max_consecutive_elements_display_width_impl',['../namespacearm__compute.xhtml#aaecee617b967dd96f27d2f36732fb68e',1,'arm_compute']]],
   ['max_5fdims',['MAX_DIMS',['../namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d',1,'arm_compute']]],
   ['max_5floc',['max_loc',['../structarm__compute_1_1_min_max_location_values.xhtml#a8b94c8b6d3de3d741f81429f0565af49',1,'arm_compute::MinMaxLocationValues']]],
   ['max_5flocal_5fworkgroup_5fsize',['max_local_workgroup_size',['../classarm__compute_1_1_c_l_kernel_library.xhtml#aaeda307cc2131afa8a4764e38373f94e',1,'arm_compute::CLKernelLibrary']]],
@@ -51,6 +52,7 @@
   ['max_5fsizes',['max_sizes',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a985940fefc02bdbc0ea1c916bb0ac82b',1,'arm_compute::PriorBoxLayerInfo']]],
   ['mean',['mean',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#ac480db792238cc08ac172a5503101f8c',1,'arm_compute::test::framework::InstrumentsStats']]],
   ['mean_5fand_5fstandard_5fdeviation',['mean_and_standard_deviation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afcceed1cef9bd62b3429d3f76e577a23',1,'arm_compute::test::validation::reference::mean_and_standard_deviation(const SimpleTensor&lt; T &gt; &amp;in)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4bbe9971a7eab2c7bb6b54dabaf479bf',1,'arm_compute::test::validation::reference::mean_and_standard_deviation(const SimpleTensor&lt; uint8_t &gt; &amp;in)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8fa5489b6395e4cd345ae8a8f79262fe',1,'arm_compute::test::validation::reference::mean_and_standard_deviation(const SimpleTensor&lt; half &gt; &amp;in)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a76652eb381d1ad287ff36406afeb0b4b',1,'arm_compute::test::validation::reference::mean_and_standard_deviation(const SimpleTensor&lt; float &gt; &amp;in)']]],
+  ['mean_5finfo',['mean_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77719d66fa0ceb3a9168e55db27f10d1',1,'arm_compute::test::validation']]],
   ['mean_5fstddev_2ecl',['mean_stddev.cl',['../mean__stddev_8cl.xhtml',1,'']]],
   ['mean_5fstddev_5faccumulate',['mean_stddev_accumulate',['../mean__stddev_8cl.xhtml#a35eedf10476f85a87aa70a4292dd380a',1,'mean_stddev.cl']]],
   ['mean_5fsum',['MEAN_SUM',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45bafc54513dae613e117ffc4169e48bfce5',1,'arm_compute']]],
@@ -96,14 +98,14 @@
   ['merge',['Merge',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#aaecd166dc5d1163768d1553a013c30f8',1,'arm_gemm::StdTransformsFixed::Merge()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#aaecd166dc5d1163768d1553a013c30f8',1,'arm_gemm::StdTransformsSVE::Merge()']]],
   ['mergeresults',['MergeResults',['../namespacearm__gemm.xhtml#a4c160021f8ceaa70922f23cafd6b3c99',1,'arm_gemm']]],
   ['mergeresults_2ehpp',['mergeresults.hpp',['../mergeresults_8hpp.xhtml',1,'']]],
-  ['method',['method',['../classarm__gemm_1_1_gemm_implementation.xhtml#a211779127e0aa2bd8edde522d7edf572',1,'arm_gemm::GemmImplementation']]],
-  ['method_5fis_5fcompatible',['method_is_compatible',['../namespacearm__gemm.xhtml#a27b679bd321b27436cef047dd4ee8266',1,'arm_gemm']]],
-  ['method_5fis_5fcompatible_3c_20float_2c_20float_20_3e',['method_is_compatible&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a409b3529a2cd017beac811d67006a7da',1,'arm_gemm']]],
+  ['method',['method',['../structarm__gemm_1_1_gemm_implementation.xhtml#a211779127e0aa2bd8edde522d7edf572',1,'arm_gemm::GemmImplementation']]],
+  ['method_5fis_5fcompatible',['method_is_compatible',['../namespacearm__gemm.xhtml#a4d2763e21b221cb737e41bd90443c3de',1,'arm_gemm']]],
+  ['method_5fis_5fcompatible_3c_20float_2c_20float_20_3e',['method_is_compatible&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a791d95ca13db6a0d41f12fc3e3e2c180',1,'arm_gemm']]],
   ['midgard',['MIDGARD',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38',1,'arm_compute']]],
   ['midgardtuner',['MidgardTuner',['../classarm__compute_1_1tuners_1_1_midgard_tuner.xhtml',1,'arm_compute::tuners']]],
   ['midgardtuner_2ecpp',['MidgardTuner.cpp',['../_midgard_tuner_8cpp.xhtml',1,'']]],
   ['midgardtuner_2eh',['MidgardTuner.h',['../_midgard_tuner_8h.xhtml',1,'']]],
-  ['min',['min',['../structarm__compute_1_1_min_max_location_values.xhtml#a21e09e76b74538cd95089523f48468b0',1,'arm_compute::MinMaxLocationValues::min()'],['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a73fed91ed99e2b505f25304d29924fac',1,'arm_compute::test::framework::InstrumentsStats::min()'],['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653',1,'arm_compute::MIN()']]],
+  ['min',['min',['../structarm__compute_1_1_min_max_location_values.xhtml#a21e09e76b74538cd95089523f48468b0',1,'arm_compute::MinMaxLocationValues::min()'],['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a73fed91ed99e2b505f25304d29924fac',1,'arm_compute::test::framework::InstrumentsStats::min()'],['../elementwise__operation_8cl.xhtml#a74e75242132eaabbc1c512488a135926',1,'MIN():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a74e75242132eaabbc1c512488a135926',1,'MIN():&#160;elementwise_operation_quantized.cl'],['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653',1,'arm_compute::MIN()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeace31e2a082d17e038fcc6e3006166653',1,'arm_compute::MIN()']]],
   ['min_2eh',['min.h',['../min_8h.xhtml',1,'']]],
   ['min_5fdist',['min_dist',['../structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783',1,'arm_compute::test::validation::HarrisCornersParameters']]],
   ['min_5feig',['min_eig',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a08ad73a840663cb2f4a6e040e507cbb7',1,'arm_compute::CLCoefficientTable']]],
@@ -143,7 +145,9 @@
   ['multiimageinfo',['MultiImageInfo',['../classarm__compute_1_1_multi_image_info.xhtml',1,'MultiImageInfo'],['../classarm__compute_1_1_multi_image_info.xhtml#a335d0038f37278ee9adc798b2efa7775',1,'arm_compute::MultiImageInfo::MultiImageInfo()']]],
   ['multiimageinfo_2ecpp',['MultiImageInfo.cpp',['../_multi_image_info_8cpp.xhtml',1,'']]],
   ['multiimageinfo_2eh',['MultiImageInfo.h',['../_multi_image_info_8h.xhtml',1,'']]],
+  ['multiples',['Multiples',['../namespacearm__compute.xhtml#afe9e10e5fdfd1e2665ac17c75c0cacd8',1,'arm_compute']]],
   ['mutate',['mutate',['../classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a5cbaa2df97059f21e84c1d4f3fef4694',1,'arm_compute::graph::IGraphMutator::mutate()'],['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::DepthConcatSubTensorMutator::mutate()'],['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::GroupedConvolutionMutator::mutate()'],['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::InPlaceOperationMutator::mutate()'],['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::NodeExecutionMethodMutator::mutate()'],['../classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::NodeFusionMutator::mutate()'],['../classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce',1,'arm_compute::graph::SplitLayerSubTensorMutator::mutate()']]],
   ['mutex',['Mutex',['../namespacearm__compute.xhtml#acded863dbfdd730829d4188d67eefcf0',1,'arm_compute']]],
-  ['mutex_2eh',['Mutex.h',['../_mutex_8h.xhtml',1,'']]]
+  ['mutex_2eh',['Mutex.h',['../_mutex_8h.xhtml',1,'']]],
+  ['mvbg_5finfo',['mvbg_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab97b993400500dac0f4902018aac7b43',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/all_f.html b/documentation/search/all_f.html
index 6ecfc0e..f6997fa 100644
--- a/documentation/search/all_f.html
+++ b/documentation/search/all_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="all_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/all_f.js b/documentation/search/all_f.js
index 8bba198..22f62cb 100644
--- a/documentation/search/all_f.js
+++ b/documentation/search/all_f.js
@@ -1,10 +1,13 @@
 var searchData=
 [
   ['n',['n',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3',1,'arm_compute::GEMMReshapeInfo']]],
-  ['name',['name',['../structarm__compute_1_1_c_l_device_options.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::CLDeviceOptions::name()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::graph::NodeParams::name()'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::TestInfo::name()'],['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::SchedulerClock::kernel_info::name()'],['../classarm__compute_1_1_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Program::name()'],['../classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Kernel::name()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a',1,'arm_compute::ICPPKernel::name()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::name()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPCornerCandidatesKernel::name()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::name()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPFlipWeightsKernel::name()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPPermuteKernel::name()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPSortEuclideanDistanceKernel::name()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPUpsampleKernel::name()'],['../classarm__compute_1_1_g_c_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCProgram::name()'],['../classarm__compute_1_1_g_c_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCKernel::name()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAbsoluteDifferenceKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateWeightedKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateSquaredKernel::name()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEActivationLayerKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticAdditionKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticSubtractionKernel::name()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBatchNormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseAndKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseNotKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseOrKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseXorKernel::name()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBox3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGradientKernel::name()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::name()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeTraceKernel::name()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelCombineKernel::name()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelExtractKernel::name()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelShuffleLayerKernel::name()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECol2ImKernel::name()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEColorConvertKernel::name()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::name()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionHorKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionVertKernel::name()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionRectangleKernel::name()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECopyKernel::name()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECumulativeDistributionKernel::name()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConvertLayerKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::name()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseVectorToTensorKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDequantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDerivativeKernel::name()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDilateKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::name()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEErodeKernel::name()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFastCornersKernel::name()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillArrayKernel::name()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillBorderKernel::name()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillInnerBorderKernel::name()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFlattenLayerKernel::name()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFloorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidHorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidVertKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMAssemblyBaseKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMInterleave4x4Kernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAdditionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMTranspose1xWKernel::name()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHarrisScoreKernel::name()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHistogramKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGOrientationBinningKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGBlockNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGDetectorKernel::name()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIntegralImageKernel::name()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEL2NormalizeLayerKernel::name()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELKTrackerKernel::name()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMagnitudePhaseKernel::name()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMeanStdDevKernel::name()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMedian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLayerKernel::name()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxKernel::name()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLocationKernel::name()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonLinearFilterKernel::name()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonMaximaSuppression3x3Kernel::name()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPermuteKernel::name()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPixelWiseMultiplicationKernel::name()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPriorBoxLayerKernel::name()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEQuantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReductionOperationKernel::name()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERemapKernel::name()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReorgLayerKernel::name()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReshapeLayerKernel::name()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEROIPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScaleKernel::name()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScharr3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7VertKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DMaxKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DSoftmaxKernel::name()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETableLookupKernel::name()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEThresholdKernel::name()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETransposeKernel::name()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEUpsampleLayerKernel::name()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWidthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformInputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformOutputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::name()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEYOLOLayerKernel::name()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::logging::Logger::name()'],['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#ad8227ba86a01f26e4f173cd5e219d5d1',1,'arm_compute::graph::frontend::ILayer::name()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::Graph::name()'],['../classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a3690f13206df6f6103bae8ae3ceee528',1,'arm_compute::graph::IGraphMutator::name()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::INode::name()'],['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::DepthConcatSubTensorMutator::name()'],['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::GroupedConvolutionMutator::name()'],['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::InPlaceOperationMutator::name()'],['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeExecutionMethodMutator::name()'],['../classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeFusionMutator::name()'],['../classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::SplitLayerSubTensorMutator::name()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::dataset::NamedDataset::name()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::TestCaseFactory::name()'],['../classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::utils::Option::name()']]],
+  ['n0',['n0',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#ac0c87b58d0d04796c81d8138231dccda',1,'arm_compute::GEMMRHSMatrixInfo']]],
+  ['name',['name',['../structarm__compute_1_1_c_l_device_options.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::CLDeviceOptions::name()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::graph::NodeParams::name()'],['../structarm__gemm_1_1_gemm_implementation.xhtml#a8f8f80d37794cde9472343e4487ba3eb',1,'arm_gemm::GemmImplementation::name()'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::TestInfo::name()'],['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::SchedulerClock::kernel_info::name()'],['../classarm__compute_1_1_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Program::name()'],['../classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Kernel::name()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a',1,'arm_compute::ICPPKernel::name()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::name()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPCornerCandidatesKernel::name()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::name()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPFlipWeightsKernel::name()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPPermuteKernel::name()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPSortEuclideanDistanceKernel::name()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPTopKVKernel::name()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPUpsampleKernel::name()'],['../classarm__compute_1_1_g_c_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCProgram::name()'],['../classarm__compute_1_1_g_c_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCKernel::name()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAbsoluteDifferenceKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateWeightedKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateSquaredKernel::name()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEActivationLayerKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticAdditionKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticSubtractionKernel::name()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBatchNormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseAndKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseNotKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseOrKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseXorKernel::name()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBox3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGradientKernel::name()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::name()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeTraceKernel::name()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelCombineKernel::name()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelExtractKernel::name()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelShuffleLayerKernel::name()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECol2ImKernel::name()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEColorConvertKernel::name()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::name()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionHorKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionVertKernel::name()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionRectangleKernel::name()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECopyKernel::name()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECumulativeDistributionKernel::name()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConvertLayerKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::name()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseVectorToTensorKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDequantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDerivativeKernel::name()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDilateKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::name()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEElementwiseOperationKernel::name()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEElementwiseUnaryKernel::name()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEErodeKernel::name()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFastCornersKernel::name()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillArrayKernel::name()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillBorderKernel::name()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillInnerBorderKernel::name()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFlattenLayerKernel::name()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFloorKernel::name()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFuseBatchNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGatherKernel::name()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidHorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidVertKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMAssemblyBaseKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMInterleave4x4Kernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAdditionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMTranspose1xWKernel::name()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHarrisScoreKernel::name()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHistogramKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGOrientationBinningKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGBlockNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGDetectorKernel::name()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIntegralImageKernel::name()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEL2NormalizeLayerKernel::name()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELKTrackerKernel::name()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMagnitudePhaseKernel::name()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMeanStdDevKernel::name()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMedian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMemsetKernel::name()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLayerKernel::name()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxKernel::name()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLocationKernel::name()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonLinearFilterKernel::name()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonMaximaSuppression3x3Kernel::name()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPermuteKernel::name()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPixelWiseMultiplicationKernel::name()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPriorBoxLayerKernel::name()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEQuantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERangeKernel::name()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReductionOperationKernel::name()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERemapKernel::name()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReorgLayerKernel::name()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReshapeLayerKernel::name()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReverseKernel::name()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEROIPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScaleKernel::name()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScharr3x3Kernel::name()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESelectKernel::name()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7VertKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DMaxKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DSoftmaxKernel::name()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEStackLayerKernel::name()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEStridedSliceKernel::name()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETableLookupKernel::name()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEThresholdKernel::name()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETileKernel::name()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETransposeKernel::name()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEUpsampleLayerKernel::name()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWidthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformInputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformOutputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::name()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEYOLOLayerKernel::name()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::logging::Logger::name()'],['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#ad8227ba86a01f26e4f173cd5e219d5d1',1,'arm_compute::graph::frontend::ILayer::name()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::Graph::name()'],['../classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a3690f13206df6f6103bae8ae3ceee528',1,'arm_compute::graph::IGraphMutator::name()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::INode::name()'],['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::DepthConcatSubTensorMutator::name()'],['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::GroupedConvolutionMutator::name()'],['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::InPlaceOperationMutator::name()'],['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeExecutionMethodMutator::name()'],['../classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeFusionMutator::name()'],['../classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::SplitLayerSubTensorMutator::name()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::dataset::NamedDataset::name()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::TestCaseFactory::name()'],['../classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::utils::Option::name()']]],
   ['nameddataset',['NamedDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml',1,'NamedDataset'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf',1,'arm_compute::test::framework::dataset::NamedDataset::NamedDataset()']]],
   ['nchw',['NCHW',['../namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f',1,'arm_compute']]],
-  ['ndrange',['NDRange',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml',1,'NDRange'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b',1,'arm_compute::gles::NDRange::NDRange()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7034c83fdb870643b23e16799d342be5',1,'arm_compute::gles::NDRange::NDRange(size_t size0)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a11ab97399bf609ab45f24011bee86422',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a79ccb8003ef6ebe1c8e5b624fad982a6',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1, size_t size2)']]],
+  ['ndrange',['NDRange',['../classarm__gemm_1_1_n_d_range.xhtml',1,'NDRange&lt; D &gt;'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml',1,'NDRange'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b',1,'arm_compute::gles::NDRange::NDRange()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7034c83fdb870643b23e16799d342be5',1,'arm_compute::gles::NDRange::NDRange(size_t size0)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a11ab97399bf609ab45f24011bee86422',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a79ccb8003ef6ebe1c8e5b624fad982a6',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1, size_t size2)'],['../classarm__gemm_1_1_n_d_range.xhtml#a42cd82b60b0abbfb79a26327b493e888',1,'arm_gemm::NDRange::NDRange()']]],
+  ['ndrange_2ehpp',['ndrange.hpp',['../ndrange_8hpp.xhtml',1,'']]],
+  ['ndrange_3c_204_20_3e',['NDRange&lt; 4 &gt;',['../classarm__gemm_1_1_n_d_range.xhtml',1,'arm_gemm']]],
   ['neabsolutedifference',['NEAbsoluteDifference',['../classarm__compute_1_1_n_e_absolute_difference.xhtml',1,'arm_compute']]],
   ['neabsolutedifference_2ecpp',['NEAbsoluteDifference.cpp',['../_n_e_absolute_difference_8cpp.xhtml',1,'']]],
   ['neabsolutedifference_2eh',['NEAbsoluteDifference.h',['../_n_e_absolute_difference_8h.xhtml',1,'']]],
@@ -34,8 +37,11 @@
   ['neactivationlayerkernel',['NEActivationLayerKernel',['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml',1,'NEActivationLayerKernel'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a75a47991d84bf206ca93cec613eed70c',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a62a06a80629d965010527d57f48894fd',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel(NEActivationLayerKernel &amp;&amp;)=default']]],
   ['neactivationlayerkernel_2ecpp',['NEActivationLayerKernel.cpp',['../_n_e_activation_layer_kernel_8cpp.xhtml',1,'']]],
   ['neactivationlayerkernel_2eh',['NEActivationLayerKernel.h',['../_n_e_activation_layer_kernel_8h.xhtml',1,'']]],
-  ['neactivationlayerquantizedfixture',['NEActivationLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab85a320f97232f409a3cd701c4ea613f',1,'arm_compute::test::validation']]],
   ['nearest_5fneighbor',['NEAREST_NEIGHBOR',['../namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a7f5ccbc3d30c2cd3fd04d567946cbde2',1,'arm_compute']]],
+  ['neargminmaxlayer',['NEArgMinMaxLayer',['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml',1,'NEArgMinMaxLayer'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#a37cb3f505590afeefa744e4dded53580',1,'arm_compute::NEArgMinMaxLayer::NEArgMinMaxLayer()']]],
+  ['neargminmaxlayer_2ecpp',['NEArgMinMaxLayer.cpp',['../_n_e_arg_min_max_layer_8cpp.xhtml',1,'']]],
+  ['neargminmaxlayer_2eh',['NEArgMinMaxLayer.h',['../_n_e_arg_min_max_layer_8h.xhtml',1,'']]],
+  ['neargminmaxvalidationfixture',['NEArgMinMaxValidationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0528c7bea5cf2459c16d15e8418045',1,'arm_compute::test::validation']]],
   ['nearithmeticaddition',['NEArithmeticAddition',['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml',1,'arm_compute']]],
   ['nearithmeticaddition_2ecpp',['NEArithmeticAddition.cpp',['../_n_e_arithmetic_addition_8cpp.xhtml',1,'']]],
   ['nearithmeticaddition_2eh',['NEArithmeticAddition.h',['../_n_e_arithmetic_addition_8h.xhtml',1,'']]],
@@ -44,6 +50,7 @@
   ['nearithmeticadditionkernel',['NEArithmeticAdditionKernel',['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml',1,'NEArithmeticAdditionKernel'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab12c64a745f0eb7e3d9380214ebe1b82',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a109cb6df60acd8ec449f321a239750cc',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel(NEArithmeticAdditionKernel &amp;&amp;)=default']]],
   ['nearithmeticadditionkernel_2ecpp',['NEArithmeticAdditionKernel.cpp',['../_n_e_arithmetic_addition_kernel_8cpp.xhtml',1,'']]],
   ['nearithmeticadditionkernel_2eh',['NEArithmeticAdditionKernel.h',['../_n_e_arithmetic_addition_kernel_8h.xhtml',1,'']]],
+  ['nearithmeticoperationkernel',['NEArithmeticOperationKernel',['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml',1,'NEArithmeticOperationKernel'],['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a2f102d09a50ed7a0f75e242f7ca53b68',1,'arm_compute::NEArithmeticOperationKernel::NEArithmeticOperationKernel()']]],
   ['nearithmeticsubtraction',['NEArithmeticSubtraction',['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml',1,'arm_compute']]],
   ['nearithmeticsubtraction_2ecpp',['NEArithmeticSubtraction.cpp',['../_n_e_arithmetic_subtraction_8cpp.xhtml',1,'']]],
   ['nearithmeticsubtraction_2eh',['NEArithmeticSubtraction.h',['../_n_e_arithmetic_subtraction_8h.xhtml',1,'']]],
@@ -106,7 +113,7 @@
   ['nechannelcombine',['NEChannelCombine',['../classarm__compute_1_1_n_e_channel_combine.xhtml',1,'arm_compute']]],
   ['nechannelcombine_2ecpp',['NEChannelCombine.cpp',['../_n_e_channel_combine_8cpp.xhtml',1,'']]],
   ['nechannelcombine_2eh',['NEChannelCombine.h',['../_n_e_channel_combine_8h.xhtml',1,'']]],
-  ['nechannelcombinefixture',['NEChannelCombineFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d8b7240e257828d0c3a662f213ea66',1,'arm_compute::test::validation']]],
+  ['nechannelcombinefixture_3c_20uint8_5ft_20_3e',['NEChannelCombineFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a9059cbc39b738c5394cb497e76e4e5',1,'arm_compute::test::validation']]],
   ['nechannelcombinekernel',['NEChannelCombineKernel',['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml',1,'NEChannelCombineKernel'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#aad5d3f2c658449874943ee6825a25715',1,'arm_compute::NEChannelCombineKernel::NEChannelCombineKernel()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4ed070d1cc30490bb12259e2c47272b6',1,'arm_compute::NEChannelCombineKernel::NEChannelCombineKernel(const NEChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ad5a9384e02a7082b36ff31e9000d6ac6',1,'arm_compute::NEChannelCombineKernel::NEChannelCombineKernel(NEChannelCombineKernel &amp;&amp;)=default']]],
   ['nechannelcombinekernel_2ecpp',['NEChannelCombineKernel.cpp',['../_n_e_channel_combine_kernel_8cpp.xhtml',1,'']]],
   ['nechannelcombinekernel_2eh',['NEChannelCombineKernel.h',['../_n_e_channel_combine_kernel_8h.xhtml',1,'']]],
@@ -114,6 +121,7 @@
   ['nechannelextract_2ecpp',['NEChannelExtract.cpp',['../_n_e_channel_extract_8cpp.xhtml',1,'']]],
   ['nechannelextract_2eh',['NEChannelExtract.h',['../_n_e_channel_extract_8h.xhtml',1,'']]],
   ['nechannelextractfixture',['NEChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea17e00c8ddea1beff5ad9d1c544ca',1,'arm_compute::test::validation']]],
+  ['nechannelextractfixture_3c_20uint8_5ft_20_3e',['NEChannelExtractFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b24618e576e67f62a86460f5621888',1,'arm_compute::test::validation']]],
   ['nechannelextractkernel',['NEChannelExtractKernel',['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml',1,'NEChannelExtractKernel'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a61c8ec45550ad9df947ffb7d6fe81fb9',1,'arm_compute::NEChannelExtractKernel::NEChannelExtractKernel()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a715ee776c231bb71a303821e32c8a470',1,'arm_compute::NEChannelExtractKernel::NEChannelExtractKernel(const NEChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ae0585d26deb679ffbce75c35eab35f2e',1,'arm_compute::NEChannelExtractKernel::NEChannelExtractKernel(NEChannelExtractKernel &amp;&amp;)=default']]],
   ['nechannelextractkernel_2ecpp',['NEChannelExtractKernel.cpp',['../_n_e_channel_extract_kernel_8cpp.xhtml',1,'']]],
   ['nechannelextractkernel_2eh',['NEChannelExtractKernel.h',['../_n_e_channel_extract_kernel_8h.xhtml',1,'']]],
@@ -135,10 +143,13 @@
   ['necolorconvert_2ecpp',['NEColorConvert.cpp',['../_n_e_color_convert_8cpp.xhtml',1,'']]],
   ['necolorconvert_2eh',['NEColorConvert.h',['../_n_e_color_convert_8h.xhtml',1,'']]],
   ['necolorconvertfixture',['NEColorConvertFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8fb396866bcf9936ff357f16a871325',1,'arm_compute::test::benchmark::NEColorConvertFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae33301a680563529b6c78984161efd47',1,'arm_compute::test::validation::NEColorConvertFixture()']]],
+  ['necolorconvertfixture_3c_20uint8_5ft_20_3e',['NEColorConvertFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a36fe461d72c5e3928797260504ba4404',1,'arm_compute::test::validation']]],
   ['necolorconverthelper_2einl',['NEColorConvertHelper.inl',['../_n_e_color_convert_helper_8inl.xhtml',1,'']]],
   ['necolorconvertkernel',['NEColorConvertKernel',['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml',1,'NEColorConvertKernel'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a9b2bcb8adfe5bd1ab71a73daf10dca6d',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#adc4007361101a56f38f1686590c3a6b5',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a3a287d251e851af82b2f540ca8db58ba',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel(NEColorConvertKernel &amp;&amp;)=default']]],
   ['necolorconvertkernel_2ecpp',['NEColorConvertKernel.cpp',['../_n_e_color_convert_kernel_8cpp.xhtml',1,'']]],
   ['necolorconvertkernel_2eh',['NEColorConvertKernel.h',['../_n_e_color_convert_kernel_8h.xhtml',1,'']]],
+  ['necomparisonfixture',['NEComparisonFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa71262a9ebd3a16714744c25f9cb7dfb',1,'arm_compute::test::validation']]],
+  ['necomparisonoperationkernel',['NEComparisonOperationKernel',['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml',1,'NEComparisonOperationKernel'],['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#ade3c44c85aeecbf179e0327c9856c39e',1,'arm_compute::NEComparisonOperationKernel::NEComparisonOperationKernel()']]],
   ['neconcatenatelayer',['NEConcatenateLayer',['../classarm__compute_1_1_n_e_concatenate_layer.xhtml',1,'NEConcatenateLayer'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#a323553c0bffc8dda63242a297512d151',1,'arm_compute::NEConcatenateLayer::NEConcatenateLayer()']]],
   ['neconcatenatelayer_2ecpp',['NEConcatenateLayer.cpp',['../_n_e_concatenate_layer_8cpp.xhtml',1,'']]],
   ['neconcatenatelayer_2eh',['NEConcatenateLayer.h',['../_n_e_concatenate_layer_8h.xhtml',1,'']]],
@@ -146,6 +157,7 @@
   ['neconvertfullyconnectedweights_2ecpp',['NEConvertFullyConnectedWeights.cpp',['../_n_e_convert_fully_connected_weights_8cpp.xhtml',1,'']]],
   ['neconvertfullyconnectedweights_2eh',['NEConvertFullyConnectedWeights.h',['../_n_e_convert_fully_connected_weights_8h.xhtml',1,'']]],
   ['neconvertfullyconnectedweightsfixture',['NEConvertFullyConnectedWeightsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67b53a9baee529f30a4de8cd833f6bd5',1,'arm_compute::test::validation']]],
+  ['neconvertfullyconnectedweightsfixture_3c_20uint8_5ft_20_3e',['NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a38f0959e2f27a6e68171f14aa399e0c0',1,'arm_compute::test::validation']]],
   ['neconvertfullyconnectedweightskernel',['NEConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml',1,'NEConvertFullyConnectedWeightsKernel'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a90b1dc1d6e41461530a27a0b98cff105',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a48ab53f2ca23eff4ed098bbe3fec15cd',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a4101e8c3da55fcd2cd1c2f565c4aba44',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default']]],
   ['neconvertfullyconnectedweightskernel_2ecpp',['NEConvertFullyConnectedWeightsKernel.cpp',['../_n_e_convert_fully_connected_weights_kernel_8cpp.xhtml',1,'']]],
   ['neconvertfullyconnectedweightskernel_2eh',['NEConvertFullyConnectedWeightsKernel.h',['../_n_e_convert_fully_connected_weights_kernel_8h.xhtml',1,'']]],
@@ -160,6 +172,7 @@
   ['neconvolution9x9',['NEConvolution9x9',['../namespacearm__compute.xhtml#ae5a088552f26a1afafd0cbf821d256fb',1,'arm_compute']]],
   ['neconvolution9x9kernel',['NEConvolution9x9Kernel',['../namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b',1,'arm_compute']]],
   ['neconvolutionfixture',['NEConvolutionFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3a8d9dbaeda26c4fafdfe031dd68017a',1,'arm_compute::test::benchmark::NEConvolutionFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08ae3fbb4831fbf813085a8333e6fb42',1,'arm_compute::test::validation::NEConvolutionFixture()']]],
+  ['neconvolutionfixture_3c_20int16_5ft_20_3e',['NEConvolutionFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5287269304645428e2e27a842b1901fe',1,'arm_compute::test::validation']]],
   ['neconvolutionkernel',['NEConvolutionKernel',['../classarm__compute_1_1_n_e_convolution_kernel.xhtml',1,'NEConvolutionKernel&lt; matrix_size &gt;'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8',1,'arm_compute::NEConvolutionKernel::NEConvolutionKernel()']]],
   ['neconvolutionkernel_2ecpp',['NEConvolutionKernel.cpp',['../_n_e_convolution_kernel_8cpp.xhtml',1,'']]],
   ['neconvolutionkernel_2eh',['NEConvolutionKernel.h',['../_n_e_convolution_kernel_8h.xhtml',1,'']]],
@@ -203,8 +216,11 @@
   ['nedepthconvertlayerkernel',['NEDepthConvertLayerKernel',['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml',1,'NEDepthConvertLayerKernel'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a32920cbfb827224a7b09311658871b40',1,'arm_compute::NEDepthConvertLayerKernel::NEDepthConvertLayerKernel()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a460bcbbe2f4d797ef7d0fe6ceee0b556',1,'arm_compute::NEDepthConvertLayerKernel::NEDepthConvertLayerKernel(const NEDepthConvertLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ac45daa616f30848bd3590623298f7edb',1,'arm_compute::NEDepthConvertLayerKernel::NEDepthConvertLayerKernel(NEDepthConvertLayerKernel &amp;&amp;)=default']]],
   ['nedepthconvertlayerkernel_2ecpp',['NEDepthConvertLayerKernel.cpp',['../_n_e_depth_convert_layer_kernel_8cpp.xhtml',1,'']]],
   ['nedepthconvertlayerkernel_2eh',['NEDepthConvertLayerKernel.h',['../_n_e_depth_convert_layer_kernel_8h.xhtml',1,'']]],
+  ['nedepthconvertlayerquantizedtof16fixture',['NEDepthConvertLayerQuantizedToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa00a28e95c442493cb666d16f8637152',1,'arm_compute::test::validation']]],
+  ['nedepthconvertlayerquantizedtof32fixture',['NEDepthConvertLayerQuantizedToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a83baad410b6bf781d1556dd63d23a267',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertof16fixture',['NEDepthConvertLayerToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9912c7aa7d6317c121432c965507fd83',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertof32fixture',['NEDepthConvertLayerToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a12516d34a371038fdaf705939f07ca15',1,'arm_compute::test::validation']]],
+  ['nedepthconvertlayertoqasymm8fixture',['NEDepthConvertLayerToQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ed17ec92926b05f647ae5dc75f18397',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos16fixture',['NEDepthConvertLayerToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc0479e4b3b5d92ec9584c946ed7beac',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos32fixture',['NEDepthConvertLayerToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aec2e7679decb05eca751a7ad3fe1c310',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertou16fixture',['NEDepthConvertLayerToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7bdd0e5c783a3f52e81684790167411',1,'arm_compute::test::validation']]],
@@ -219,6 +235,7 @@
   ['nedepthwiseconvolutionlayer3x3kernel_2eh',['NEDepthwiseConvolutionLayer3x3Kernel.h',['../_n_e_depthwise_convolution_layer3x3_kernel_8h.xhtml',1,'']]],
   ['nedepthwiseconvolutionlayerfixture',['NEDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dc2a897706e1f2567436cd05c17f2ce',1,'arm_compute::test::validation']]],
   ['nedepthwiseconvolutionlayerquantizedfixture',['NEDepthwiseConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af87b20687c8018b2e629fc3b7f5324fd',1,'arm_compute::test::validation']]],
+  ['nedepthwiseconvolutionlayerquantizedfixture3x3_3c_20uint8_5ft_20_3e',['NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4b4eb2af5a1ae686267ddbe13a7ef',1,'arm_compute::test::validation']]],
   ['nedepthwiseim2colkernel',['NEDepthwiseIm2ColKernel',['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml',1,'NEDepthwiseIm2ColKernel'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abedec4a789c5ce275d17d458810e9fac',1,'arm_compute::NEDepthwiseIm2ColKernel::NEDepthwiseIm2ColKernel()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a6ecdfc4cfab0bd90063d8eab16f23fd8',1,'arm_compute::NEDepthwiseIm2ColKernel::NEDepthwiseIm2ColKernel(const NEDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5a6005467f6505d9ea6c7c30ba5568d',1,'arm_compute::NEDepthwiseIm2ColKernel::NEDepthwiseIm2ColKernel(NEDepthwiseIm2ColKernel &amp;&amp;)=default']]],
   ['nedepthwiseim2colkernel_2ecpp',['NEDepthwiseIm2ColKernel.cpp',['../_n_e_depthwise_im2_col_kernel_8cpp.xhtml',1,'']]],
   ['nedepthwiseim2colkernel_2eh',['NEDepthwiseIm2ColKernel.h',['../_n_e_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
@@ -268,9 +285,40 @@
   ['nedirectconvolutionlayeroutputstagekernel',['NEDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml',1,'NEDirectConvolutionLayerOutputStageKernel'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a30c40481bcf8b7a26d1354b33b1dccdb',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac9bdca54a1108e75fc382b3ada46429e',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac8b91f71cdcafc2a9fa40062ade2ea0a',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default']]],
   ['nedirectconvolutionlayeroutputstagekernel_2ecpp',['NEDirectConvolutionLayerOutputStageKernel.cpp',['../_n_e_direct_convolution_layer_output_stage_kernel_8cpp.xhtml',1,'']]],
   ['nedirectconvolutionlayeroutputstagekernel_2eh',['NEDirectConvolutionLayerOutputStageKernel.h',['../_n_e_direct_convolution_layer_output_stage_kernel_8h.xhtml',1,'']]],
+  ['nedivisionoperationkernel',['NEDivisionOperationKernel',['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml',1,'NEDivisionOperationKernel'],['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afc96fa047235667233e73836c97aa774',1,'arm_compute::NEDivisionOperationKernel::NEDivisionOperationKernel()']]],
   ['needgenonmaxsuppressionkernel',['NEEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml',1,'NEEdgeNonMaxSuppressionKernel'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a7e3beb7abd77b10e6630ae83f33e558b',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ad35f9c2b611ce360fa9811a2e1fa6d97',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a4403ce6bb21831222942bb8904201e42',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default']]],
   ['needgetracekernel',['NEEdgeTraceKernel',['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml',1,'NEEdgeTraceKernel'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ac9756d4d8d467a0d67a845d31df49c9d',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#afef98c788326dbd5e66b085b5f9dd621',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel(NEEdgeTraceKernel &amp;&amp;)=default']]],
   ['needs_5fshifting',['needs_shifting',['../classarm__compute_1_1_i_g_c_tensor.xhtml#a95acb432c46c1f3a6b77eb88944e6c02',1,'arm_compute::IGCTensor']]],
+  ['neelementwisecomparison',['NEElementwiseComparison',['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml',1,'arm_compute']]],
+  ['neelementwisecomparisonstatic',['NEElementwiseComparisonStatic',['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml',1,'arm_compute']]],
+  ['neelementwisedivision',['NEElementwiseDivision',['../classarm__compute_1_1_n_e_elementwise_division.xhtml',1,'arm_compute']]],
+  ['neelementwisedivisionbroadcastfixture',['NEElementwiseDivisionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a521d8ce368f3d6f7dfd2b3a8691bdde7',1,'arm_compute::test::validation']]],
+  ['neelementwisedivisionfixture',['NEElementwiseDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af870e2bc2cca46d65575d398b3345dc8',1,'arm_compute::test::validation']]],
+  ['neelementwisemax',['NEElementwiseMax',['../classarm__compute_1_1_n_e_elementwise_max.xhtml',1,'arm_compute']]],
+  ['neelementwisemaxbroadcastfixture',['NEElementwiseMaxBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f33c1788f556dbd34036cf3b55ef28b',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxfixture',['NEElementwiseMaxFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afa109a35360e38dd7e91295c481d12d3',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxfixture_3c_20int16_5ft_20_3e',['NEElementwiseMaxFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed0110369a7707068f54a52e3da9a821',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxquantizedbroadcastfixture',['NEElementwiseMaxQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd505297932b7ea36fffa027645961cf',1,'arm_compute::test::validation']]],
+  ['neelementwisemin',['NEElementwiseMin',['../classarm__compute_1_1_n_e_elementwise_min.xhtml',1,'arm_compute']]],
+  ['neelementwiseminbroadcastfixture',['NEElementwiseMinBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae991b82e51457688013447988f6d9242',1,'arm_compute::test::validation']]],
+  ['neelementwiseminfixture',['NEElementwiseMinFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e8194971e2ba3ce23eec740c07887d8',1,'arm_compute::test::validation']]],
+  ['neelementwiseminfixture_3c_20int16_5ft_20_3e',['NEElementwiseMinFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ace64c392f8bed8e5753727cc847bf7cc',1,'arm_compute::test::validation']]],
+  ['neelementwiseminquantizedbroadcastfixture',['NEElementwiseMinQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a122cc1991a6d386c4f82e941a00f0299',1,'arm_compute::test::validation']]],
+  ['neelementwiseoperationkernel',['NEElementwiseOperationKernel',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml',1,'NEElementwiseOperationKernel'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#ac201bea4780df819fbbb4398372dffd7',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel(const NEElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a880f0507b9cd994cd28e8c6fae58b2ef',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel(NEElementwiseOperationKernel &amp;&amp;)=default']]],
+  ['neelementwiseoperationkernel_2ecpp',['NEElementwiseOperationKernel.cpp',['../_n_e_elementwise_operation_kernel_8cpp.xhtml',1,'']]],
+  ['neelementwiseoperationkernel_2eh',['NEElementwiseOperationKernel.h',['../_n_e_elementwise_operation_kernel_8h.xhtml',1,'']]],
+  ['neelementwiseoperations_2eh',['NEElementwiseOperations.h',['../_n_e_elementwise_operations_8h.xhtml',1,'']]],
+  ['neelementwiseoperators_2ecpp',['NEElementwiseOperators.cpp',['../_n_e_elementwise_operators_8cpp.xhtml',1,'']]],
+  ['neelementwisesquareddiff',['NEElementwiseSquaredDiff',['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml',1,'arm_compute']]],
+  ['neelementwisesquareddiffbroadcastfixture',['NEElementwiseSquaredDiffBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ea80579879fc45f838ea824f3394dca',1,'arm_compute::test::validation']]],
+  ['neelementwisesquareddifffixture',['NEElementwiseSquaredDiffFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a770f93006059e614d72ce3868caabc8e',1,'arm_compute::test::validation']]],
+  ['neelementwisesquareddiffquantizedbroadcastfixture',['NEElementwiseSquaredDiffQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6b15b22977babd3e2e45ff01277b518',1,'arm_compute::test::validation']]],
+  ['neelementwiseunarykernel',['NEElementwiseUnaryKernel',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml',1,'NEElementwiseUnaryKernel'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a82bf6be583089b901440771c16801387',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#aeab775090054fffbc64645a939cd36e4',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel(const NEElementwiseUnaryKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a1bd8a2a54206c15a9e8df211535aee73',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel(NEElementwiseUnaryKernel &amp;&amp;)=default']]],
+  ['neelementwiseunarykernel_2ecpp',['NEElementwiseUnaryKernel.cpp',['../_n_e_elementwise_unary_kernel_8cpp.xhtml',1,'']]],
+  ['neelementwiseunarykernel_2eh',['NEElementwiseUnaryKernel.h',['../_n_e_elementwise_unary_kernel_8h.xhtml',1,'']]],
+  ['neelementwiseunarylayer_2ecpp',['NEElementwiseUnaryLayer.cpp',['../_n_e_elementwise_unary_layer_8cpp.xhtml',1,'']]],
+  ['neelementwiseunarylayer_2eh',['NEElementwiseUnaryLayer.h',['../_n_e_elementwise_unary_layer_8h.xhtml',1,'']]],
+  ['neequal',['NEEqual',['../namespacearm__compute.xhtml#a8fdefd8ed8639758d0aa6c68087d55e6',1,'arm_compute']]],
   ['neequalizehistogram',['NEEqualizeHistogram',['../classarm__compute_1_1_n_e_equalize_histogram.xhtml',1,'NEEqualizeHistogram'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e',1,'arm_compute::NEEqualizeHistogram::NEEqualizeHistogram()']]],
   ['neequalizehistogram_2ecpp',['NEEqualizeHistogram.cpp',['../_n_e_equalize_histogram_8cpp.xhtml',1,'']]],
   ['neequalizehistogram_2eh',['NEEqualizeHistogram.h',['../_n_e_equalize_histogram_8h.xhtml',1,'']]],
@@ -282,6 +330,8 @@
   ['neerodekernel',['NEErodeKernel',['../classarm__compute_1_1_n_e_erode_kernel.xhtml',1,'arm_compute']]],
   ['neerodekernel_2ecpp',['NEErodeKernel.cpp',['../_n_e_erode_kernel_8cpp.xhtml',1,'']]],
   ['neerodekernel_2eh',['NEErodeKernel.h',['../_n_e_erode_kernel_8h.xhtml',1,'']]],
+  ['neexplayer',['NEExpLayer',['../classarm__compute_1_1_n_e_exp_layer.xhtml',1,'arm_compute']]],
+  ['neexplayerfixture',['NEExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7413e0006a89e3800dfb32f37acf4f61',1,'arm_compute::test::validation']]],
   ['nefastcorners',['NEFastCorners',['../classarm__compute_1_1_n_e_fast_corners.xhtml',1,'NEFastCorners'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#a28dfc2ab33e0f3cd2fda1cbea93148f1',1,'arm_compute::NEFastCorners::NEFastCorners()']]],
   ['nefastcorners_2ecpp',['NEFastCorners.cpp',['../_n_e_fast_corners_8cpp.xhtml',1,'']]],
   ['nefastcorners_2eh',['NEFastCorners.h',['../_n_e_fast_corners_8h.xhtml',1,'']]],
@@ -328,7 +378,23 @@
   ['nefunctionfactory_2ecpp',['NEFunctionFactory.cpp',['../_n_e_function_factory_8cpp.xhtml',1,'']]],
   ['nefunctionfactory_2eh',['NEFunctionFactory.h',['../_n_e_function_factory_8h.xhtml',1,'']]],
   ['nefunctions_2eh',['NEFunctions.h',['../_n_e_functions_8h.xhtml',1,'']]],
+  ['nefusebatchnormalization',['NEFuseBatchNormalization',['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml',1,'NEFuseBatchNormalization'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a8c9f3b1b8b437c75f10a29c6464c7f57',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#aaa015eb4547a5cb0a9cb6adf3142dc66',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization(const NEFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#ab207569c8578c566b0eb1b6afc1a0ec5',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization(NEFuseBatchNormalization &amp;&amp;)=default']]],
+  ['nefusebatchnormalization_2ecpp',['NEFuseBatchNormalization.cpp',['../_n_e_fuse_batch_normalization_8cpp.xhtml',1,'']]],
+  ['nefusebatchnormalization_2eh',['NEFuseBatchNormalization.h',['../_n_e_fuse_batch_normalization_8h.xhtml',1,'']]],
+  ['nefusebatchnormalizationkernel',['NEFuseBatchNormalizationKernel',['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml',1,'NEFuseBatchNormalizationKernel'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ac254b18a929efcdd8742b3467ca5c8ff',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#affe60b815f0625bd4679b1e87ca7e2a1',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel(const NEFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab040a8816f6320c4e6b20b4e51116c21',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel(NEFuseBatchNormalizationKernel &amp;&amp;)=default']]],
+  ['nefusebatchnormalizationkernel_2ecpp',['NEFuseBatchNormalizationKernel.cpp',['../_n_e_fuse_batch_normalization_kernel_8cpp.xhtml',1,'']]],
+  ['nefusebatchnormalizationkernel_2eh',['NEFuseBatchNormalizationKernel.h',['../_n_e_fuse_batch_normalization_kernel_8h.xhtml',1,'']]],
   ['neg_2eh',['neg.h',['../neg_8h.xhtml',1,'']]],
+  ['negather',['NEGather',['../classarm__compute_1_1_n_e_gather.xhtml',1,'arm_compute']]],
+  ['negather_2ecpp',['NEGather.cpp',['../_n_e_gather_8cpp.xhtml',1,'']]],
+  ['negather_2eh',['NEGather.h',['../_n_e_gather_8h.xhtml',1,'']]],
+  ['negatherfixture',['NEGatherFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7218fc6b111c30ebe3b1be3fbb2e03ea',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20float_20_3e',['NEGatherFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3df7654d8059039b30405f2420fb88e7',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20uint16_5ft_20_3e',['NEGatherFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdced3dcbad5ae257fa85a4933d24aad',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20uint8_5ft_20_3e',['NEGatherFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3804b9ad1989bb4c14c64b4cb7b36e2',1,'arm_compute::test::validation']]],
+  ['negatherkernel',['NEGatherKernel',['../classarm__compute_1_1_n_e_gather_kernel.xhtml',1,'NEGatherKernel'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a48dd056d3f0caf6e38a4c6b6feb66429',1,'arm_compute::NEGatherKernel::NEGatherKernel()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a8e6cb38116de9fd9c8e0829b313cbea5',1,'arm_compute::NEGatherKernel::NEGatherKernel(const NEGatherKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a7ababe5ef34245e3bcf2639ef47168ba',1,'arm_compute::NEGatherKernel::NEGatherKernel(NEGatherKernel &amp;&amp;)=default']]],
+  ['negatherkernel_2ecpp',['NEGatherKernel.cpp',['../_n_e_gather_kernel_8cpp.xhtml',1,'']]],
+  ['negatherkernel_2eh',['NEGatherKernel.h',['../_n_e_gather_kernel_8h.xhtml',1,'']]],
   ['negaussian3x3',['NEGaussian3x3',['../classarm__compute_1_1_n_e_gaussian3x3.xhtml',1,'arm_compute']]],
   ['negaussian3x3_2ecpp',['NEGaussian3x3.cpp',['../_n_e_gaussian3x3_8cpp.xhtml',1,'']]],
   ['negaussian3x3_2eh',['NEGaussian3x3.h',['../_n_e_gaussian3x3_8h.xhtml',1,'']]],
@@ -369,15 +435,13 @@
   ['negemmconvolutionlayer_2ecpp',['NEGEMMConvolutionLayer.cpp',['../_n_e_g_e_m_m_convolution_layer_8cpp.xhtml',1,'']]],
   ['negemmconvolutionlayer_2eh',['NEGEMMConvolutionLayer.h',['../_n_e_g_e_m_m_convolution_layer_8h.xhtml',1,'']]],
   ['negemmconvolutionlayerfixture',['NEGEMMConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e36e58a8ee401995f556ef9d4a5ce80',1,'arm_compute::test::benchmark::NEGEMMConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d7f0321e91f8b48ec2b198ccf4149a8',1,'arm_compute::test::validation::NEGEMMConvolutionLayerFixture()']]],
-  ['negemmconvolutionlayerquantizedfixture',['NEGEMMConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d2a81298b3e14177809c912f7a4adb9',1,'arm_compute::test::validation']]],
   ['negemmdilatedconvolutionlayerfixture',['NEGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a722e55d9c28cf9790e76e2d9e475dc',1,'arm_compute::test::validation']]],
-  ['negemmdilatedconvolutionlayerquantizedfixture',['NEGEMMDilatedConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa26709059eabee7745359affb021c8b2',1,'arm_compute::test::validation']]],
-  ['negemmfixture',['NEGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d',1,'arm_compute::test::benchmark::NEGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70bc5be1a91942b87f6992b37f87b62e',1,'arm_compute::test::validation::NEGEMMFixture()']]],
+  ['negemmfixture',['NEGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d',1,'arm_compute::test::benchmark']]],
   ['negemmfixturedisabledc',['NEGEMMFixtureDisabledC',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac61383461f64e2e5873b92f74b8adfee',1,'arm_compute::test::validation']]],
   ['negemminterleave4x4',['NEGEMMInterleave4x4',['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4.xhtml',1,'arm_compute']]],
   ['negemminterleave4x4_2ecpp',['NEGEMMInterleave4x4.cpp',['../_n_e_g_e_m_m_interleave4x4_8cpp.xhtml',1,'']]],
   ['negemminterleave4x4_2eh',['NEGEMMInterleave4x4.h',['../_n_e_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
-  ['negemminterleave4x4fixture',['NEGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e7bbde7929dea0e2ced439ff2462b7c',1,'arm_compute::test::benchmark::NEGEMMInterleave4x4Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d580506f47eca41d8ee90dd41ce153',1,'arm_compute::test::validation::NEGEMMInterleave4x4Fixture()']]],
+  ['negemminterleave4x4fixture',['NEGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d580506f47eca41d8ee90dd41ce153',1,'arm_compute::test::validation']]],
   ['negemminterleave4x4kernel',['NEGEMMInterleave4x4Kernel',['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml',1,'NEGEMMInterleave4x4Kernel'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ae05d4514f4b8415dbd21e900cffb2fbc',1,'arm_compute::NEGEMMInterleave4x4Kernel::NEGEMMInterleave4x4Kernel()']]],
   ['negemminterleave4x4kernel_2ecpp',['NEGEMMInterleave4x4Kernel.cpp',['../_n_e_g_e_m_m_interleave4x4_kernel_8cpp.xhtml',1,'']]],
   ['negemminterleave4x4kernel_2eh',['NEGEMMInterleave4x4Kernel.h',['../_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml',1,'']]],
@@ -435,6 +499,8 @@
   ['negemmtranspose1xwkernel_2eh',['NEGEMMTranspose1xWKernel.h',['../_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml',1,'']]],
   ['neglobalpoolinglayerfixture',['NEGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ba649227f83754a45396109054d60c',1,'arm_compute::test::validation']]],
   ['negradientkernel',['NEGradientKernel',['../classarm__compute_1_1_n_e_gradient_kernel.xhtml',1,'NEGradientKernel'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b',1,'arm_compute::NEGradientKernel::NEGradientKernel()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ad383dd933d1927d688347f6f412dfc21',1,'arm_compute::NEGradientKernel::NEGradientKernel(const NEGradientKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a5abcaf3e9545a325505641d321a858c9',1,'arm_compute::NEGradientKernel::NEGradientKernel(NEGradientKernel &amp;&amp;)=default']]],
+  ['negreater',['NEGreater',['../namespacearm__compute.xhtml#a44f1c40220d4ac837899ef5ebf7aaee9',1,'arm_compute']]],
+  ['negreaterequal',['NEGreaterEqual',['../namespacearm__compute.xhtml#aa09ba119a3b8b2950581f7c80e9445b6',1,'arm_compute']]],
   ['neharriscorners',['NEHarrisCorners',['../classarm__compute_1_1_n_e_harris_corners.xhtml',1,'NEHarrisCorners'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806',1,'arm_compute::NEHarrisCorners::NEHarrisCorners()']]],
   ['neharriscorners_2ecpp',['NEHarrisCorners.cpp',['../_n_e_harris_corners_8cpp.xhtml',1,'']]],
   ['neharriscorners_2eh',['NEHarrisCorners.h',['../_n_e_harris_corners_8h.xhtml',1,'']]],
@@ -476,6 +542,7 @@
   ['neim2col_2ecpp',['NEIm2Col.cpp',['../_n_e_im2_col_8cpp.xhtml',1,'']]],
   ['neim2col_2eh',['NEIm2Col.h',['../_n_e_im2_col_8h.xhtml',1,'']]],
   ['neim2colfixture',['NEIm2ColFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a98e842c5ec1ebd662aac57677eb97913',1,'arm_compute::test::validation']]],
+  ['neim2colfixture_3c_20uint8_5ft_20_3e',['NEIm2ColFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6062474009d94732afa8d9ed57ab4097',1,'arm_compute::test::validation']]],
   ['neim2colkernel',['NEIm2ColKernel',['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml',1,'NEIm2ColKernel'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b',1,'arm_compute::NEIm2ColKernel::NEIm2ColKernel()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aff36152aec06ab80bbd3aa8d9dc66075',1,'arm_compute::NEIm2ColKernel::NEIm2ColKernel(const NEIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a82f0a27f278d1bb7d1457c24941289e4',1,'arm_compute::NEIm2ColKernel::NEIm2ColKernel(NEIm2ColKernel &amp;&amp;)=default']]],
   ['neim2colkernel_2ecpp',['NEIm2ColKernel.cpp',['../_n_e_im2_col_kernel_8cpp.xhtml',1,'']]],
   ['neim2colkernel_2eh',['NEIm2ColKernel.h',['../_n_e_im2_col_kernel_8h.xhtml',1,'']]],
@@ -501,6 +568,8 @@
   ['nelaplacianreconstruct_2ecpp',['NELaplacianReconstruct.cpp',['../_n_e_laplacian_reconstruct_8cpp.xhtml',1,'']]],
   ['nelaplacianreconstruct_2eh',['NELaplacianReconstruct.h',['../_n_e_laplacian_reconstruct_8h.xhtml',1,'']]],
   ['nelaplacianreconstructfixture',['NELaplacianReconstructFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaede2237f2b5b994d807322750e6292',1,'arm_compute::test::benchmark::NELaplacianReconstructFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d37455e887a5d56608c70376bb1fb04',1,'arm_compute::test::validation::NELaplacianReconstructFixture()']]],
+  ['neless',['NELess',['../namespacearm__compute.xhtml#a36ae4d66ca830f6aeef54964b0c31fd3',1,'arm_compute']]],
+  ['nelessequal',['NELessEqual',['../namespacearm__compute.xhtml#ab10ab37a597594e7aabec4a067988d37',1,'arm_compute']]],
   ['nelkinternalkeypoint',['NELKInternalKeypoint',['../structarm__compute_1_1_n_e_l_k_internal_keypoint.xhtml',1,'arm_compute']]],
   ['nelktrackerkernel',['NELKTrackerKernel',['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml',1,'NELKTrackerKernel'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124',1,'arm_compute::NELKTrackerKernel::NELKTrackerKernel()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a5c272fb952051d6a06370c2fdb267c96',1,'arm_compute::NELKTrackerKernel::NELKTrackerKernel(const NELKTrackerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#aca5d353ec5bfccdae41b2f647adb3da8',1,'arm_compute::NELKTrackerKernel::NELKTrackerKernel(NELKTrackerKernel &amp;&amp;)=default']]],
   ['nelktrackerkernel_2eh',['NELKTrackerKernel.h',['../_n_e_l_k_tracker_kernel_8h.xhtml',1,'']]],
@@ -541,6 +610,9 @@
   ['nemedian3x3kernel',['NEMedian3x3Kernel',['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml',1,'arm_compute']]],
   ['nemedian3x3kernel_2ecpp',['NEMedian3x3Kernel.cpp',['../_n_e_median3x3_kernel_8cpp.xhtml',1,'']]],
   ['nemedian3x3kernel_2eh',['NEMedian3x3Kernel.h',['../_n_e_median3x3_kernel_8h.xhtml',1,'']]],
+  ['nememsetkernel',['NEMemsetKernel',['../classarm__compute_1_1_n_e_memset_kernel.xhtml',1,'NEMemsetKernel'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a510e13f4340a3b266c20334084d8acef',1,'arm_compute::NEMemsetKernel::NEMemsetKernel()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#abb0abf7cae549eaef4a4f2e9ed1ad57a',1,'arm_compute::NEMemsetKernel::NEMemsetKernel(const NEMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a2ea3456d1f54b430de8163b78ba06a8d',1,'arm_compute::NEMemsetKernel::NEMemsetKernel(NEMemsetKernel &amp;&amp;)=default']]],
+  ['nememsetkernel_2ecpp',['NEMemsetKernel.cpp',['../_n_e_memset_kernel_8cpp.xhtml',1,'']]],
+  ['nememsetkernel_2eh',['NEMemsetKernel.h',['../_n_e_memset_kernel_8h.xhtml',1,'']]],
   ['neminmaxkernel',['NEMinMaxKernel',['../classarm__compute_1_1_n_e_min_max_kernel.xhtml',1,'NEMinMaxKernel'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a86b4a121baa6da0124df90f08436eb30',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel(NEMinMaxKernel &amp;&amp;)=default']]],
   ['neminmaxlayerkernel',['NEMinMaxLayerKernel',['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml',1,'NEMinMaxLayerKernel'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a2f7050402558e9023ee536f50d725ba3',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a10235b99ce63ff0736c7d00b59123c1f',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel(NEMinMaxLayerKernel &amp;&amp;)=default']]],
   ['neminmaxlayerkernel_2ecpp',['NEMinMaxLayerKernel.cpp',['../_n_e_min_max_layer_kernel_8cpp.xhtml',1,'']]],
@@ -576,7 +648,11 @@
   ['nenormalizationlayerkernel',['NENormalizationLayerKernel',['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml',1,'NENormalizationLayerKernel'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0a9583248b18a4ac65987cd5adebc6ed',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel(NENormalizationLayerKernel &amp;&amp;)=default']]],
   ['nenormalizationlayerkernel_2ecpp',['NENormalizationLayerKernel.cpp',['../_n_e_normalization_layer_kernel_8cpp.xhtml',1,'']]],
   ['nenormalizationlayerkernel_2eh',['NENormalizationLayerKernel.h',['../_n_e_normalization_layer_kernel_8h.xhtml',1,'']]],
+  ['nenotequal',['NENotEqual',['../namespacearm__compute.xhtml#a732ac47723cd850cc5ffa208bc3e3b00',1,'arm_compute']]],
   ['neon',['NEON',['../namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09',1,'arm_compute::graph']]],
+  ['neon_5fbitvector',['neon_bitvector',['../structarm__compute_1_1wrapper_1_1traits_1_1neon__bitvector.xhtml',1,'arm_compute::wrapper::traits']]],
+  ['neon_5fbitvector_5ft',['neon_bitvector_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c',1,'arm_compute::wrapper::traits']]],
+  ['neon_5fbitvector_5ftag_5ft',['neon_bitvector_tag_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3',1,'arm_compute::wrapper::traits']]],
   ['neon_5fcartoon_5feffect_2ecpp',['neon_cartoon_effect.cpp',['../neon__cartoon__effect_8cpp.xhtml',1,'']]],
   ['neon_5fcnn_2ecpp',['neon_cnn.cpp',['../neon__cnn_8cpp.xhtml',1,'']]],
   ['neon_5fconvolution_2ecpp',['neon_convolution.cpp',['../neon__convolution_8cpp.xhtml',1,'']]],
@@ -591,6 +667,12 @@
   ['neopticalflow_2ecpp',['NEOpticalFlow.cpp',['../_n_e_optical_flow_8cpp.xhtml',1,'']]],
   ['neopticalflow_2eh',['NEOpticalFlow.h',['../_n_e_optical_flow_8h.xhtml',1,'']]],
   ['neopticalflowfixture',['NEOpticalFlowFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf06636c5092471ed65180c8e063ce7d',1,'arm_compute::test::benchmark::NEOpticalFlowFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a875d8b96ac0977c055971bbd04765aeb',1,'arm_compute::test::validation::NEOpticalFlowFixture()']]],
+  ['nepaddingfixture',['NEPaddingFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8742eecef9bb6c44aba3af838e31d99b',1,'arm_compute::test::validation']]],
+  ['nepaddingfixture_3c_20int8_5ft_20_3e',['NEPaddingFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a716b58e0558c447fcefeb343e385bbc1',1,'arm_compute::test::validation']]],
+  ['nepaddingfixture_3c_20uint8_5ft_20_3e',['NEPaddingFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aad64ac2e6cc0572ed02599ef9d934c7b',1,'arm_compute::test::validation']]],
+  ['nepadlayer',['NEPadLayer',['../classarm__compute_1_1_n_e_pad_layer.xhtml',1,'NEPadLayer'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398',1,'arm_compute::NEPadLayer::NEPadLayer()']]],
+  ['nepadlayer_2ecpp',['NEPadLayer.cpp',['../_n_e_pad_layer_8cpp.xhtml',1,'']]],
+  ['nepadlayer_2eh',['NEPadLayer.h',['../_n_e_pad_layer_8h.xhtml',1,'']]],
   ['nepermute',['NEPermute',['../classarm__compute_1_1_n_e_permute.xhtml',1,'arm_compute']]],
   ['nepermute_2ecpp',['NEPermute.cpp',['../_n_e_permute_8cpp.xhtml',1,'']]],
   ['nepermute_2eh',['NEPermute.h',['../_n_e_permute_8h.xhtml',1,'']]],
@@ -635,6 +717,15 @@
   ['nequantizationlayerkernel',['NEQuantizationLayerKernel',['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml',1,'NEQuantizationLayerKernel'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ad62e17aadd5912b41857bdbc15730268',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#afd7a141d3777f3622c3f9fafc0ce4d0f',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#af016debab1ceae65a136232e68c17617',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel(NEQuantizationLayerKernel &amp;&amp;)=default']]],
   ['nequantizationlayerkernel_2ecpp',['NEQuantizationLayerKernel.cpp',['../_n_e_quantization_layer_kernel_8cpp.xhtml',1,'']]],
   ['nequantizationlayerkernel_2eh',['NEQuantizationLayerKernel.h',['../_n_e_quantization_layer_kernel_8h.xhtml',1,'']]],
+  ['nerange',['NERange',['../classarm__compute_1_1_n_e_range.xhtml',1,'NERange'],['../classarm__compute_1_1_n_e_range.xhtml#a1676ab701fe81cd955c7430a235e6f98',1,'arm_compute::NERange::NERange()']]],
+  ['nerange_2ecpp',['NERange.cpp',['../_n_e_range_8cpp.xhtml',1,'']]],
+  ['nerange_2eh',['NERange.h',['../_n_e_range_8h.xhtml',1,'']]],
+  ['nerangefixture',['NERangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af508389e203acf57bbe5f3703e71e6c2',1,'arm_compute::test::validation']]],
+  ['nerangefixture_3c_20float_20_3e',['NERangeFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a03aa89235e6b1310e83712f1382f24e5',1,'arm_compute::test::validation']]],
+  ['nerangefixture_3c_20int16_5ft_20_3e',['NERangeFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#abf477b7e705f22517f58de15a57ea2ef',1,'arm_compute::test::validation']]],
+  ['nerangekernel',['NERangeKernel',['../classarm__compute_1_1_n_e_range_kernel.xhtml',1,'NERangeKernel'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a487a8c396605f8268fe39579da635416',1,'arm_compute::NERangeKernel::NERangeKernel()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#af660b39e4c42654f02b29d271960586d',1,'arm_compute::NERangeKernel::NERangeKernel(const NERangeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a11373aa68209de39e80ac85218675719',1,'arm_compute::NERangeKernel::NERangeKernel(NERangeKernel &amp;&amp;)=default']]],
+  ['nerangekernel_2ecpp',['NERangeKernel.cpp',['../_n_e_range_kernel_8cpp.xhtml',1,'']]],
+  ['nerangekernel_2eh',['NERangeKernel.h',['../_n_e_range_kernel_8h.xhtml',1,'']]],
   ['nereducemean',['NEReduceMean',['../classarm__compute_1_1_n_e_reduce_mean.xhtml',1,'NEReduceMean'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58',1,'arm_compute::NEReduceMean::NEReduceMean()']]],
   ['nereducemean_2ecpp',['NEReduceMean.cpp',['../_n_e_reduce_mean_8cpp.xhtml',1,'']]],
   ['nereducemean_2eh',['NEReduceMean.h',['../_n_e_reduce_mean_8h.xhtml',1,'']]],
@@ -669,6 +760,14 @@
   ['nereshapelayerkernel',['NEReshapeLayerKernel',['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml',1,'arm_compute']]],
   ['nereshapelayerkernel_2ecpp',['NEReshapeLayerKernel.cpp',['../_n_e_reshape_layer_kernel_8cpp.xhtml',1,'']]],
   ['nereshapelayerkernel_2eh',['NEReshapeLayerKernel.h',['../_n_e_reshape_layer_kernel_8h.xhtml',1,'']]],
+  ['nereverse',['NEReverse',['../classarm__compute_1_1_n_e_reverse.xhtml',1,'arm_compute']]],
+  ['nereverse_2ecpp',['NEReverse.cpp',['../_n_e_reverse_8cpp.xhtml',1,'']]],
+  ['nereverse_2eh',['NEReverse.h',['../_n_e_reverse_8h.xhtml',1,'']]],
+  ['nereversefixture',['NEReverseFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25238fb5ce3406ce401fc16e8cbbe78b',1,'arm_compute::test::validation']]],
+  ['nereversefixture_3c_20uint8_5ft_20_3e',['NEReverseFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a6f913d4ee4196396796fafd413642e',1,'arm_compute::test::validation']]],
+  ['nereversekernel',['NEReverseKernel',['../classarm__compute_1_1_n_e_reverse_kernel.xhtml',1,'NEReverseKernel'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#aa118ee1200d7eb0525933329ddb2f01e',1,'arm_compute::NEReverseKernel::NEReverseKernel()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a1c7cdcab15282630465527b7f0f935fe',1,'arm_compute::NEReverseKernel::NEReverseKernel(const NEReverseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab6e36387ad2fb4314db95c574f7ce598',1,'arm_compute::NEReverseKernel::NEReverseKernel(NEReverseKernel &amp;&amp;)=default']]],
+  ['nereversekernel_2ecpp',['NEReverseKernel.cpp',['../_n_e_reverse_kernel_8cpp.xhtml',1,'']]],
+  ['nereversekernel_2eh',['NEReverseKernel.h',['../_n_e_reverse_kernel_8h.xhtml',1,'']]],
   ['nernnlayer',['NERNNLayer',['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml',1,'NERNNLayer'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a22580824d9d7f1d67c3db8ac601113b3',1,'arm_compute::NERNNLayer::NERNNLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ab6231543c4071f67f7acd1b868017185',1,'arm_compute::NERNNLayer::NERNNLayer(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad71b9e0c36eb029efea21034a525797d',1,'arm_compute::NERNNLayer::NERNNLayer(NERNNLayer &amp;&amp;)=default']]],
   ['nernnlayer_2ecpp',['NERNNLayer.cpp',['../_n_e_r_n_n_layer_8cpp.xhtml',1,'']]],
   ['nernnlayer_2eh',['NERNNLayer.h',['../_n_e_r_n_n_layer_8h.xhtml',1,'']]],
@@ -676,17 +775,23 @@
   ['neroipoolinglayer',['NEROIPoolingLayer',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml',1,'NEROIPoolingLayer'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b',1,'arm_compute::NEROIPoolingLayer::NEROIPoolingLayer()']]],
   ['neroipoolinglayer_2ecpp',['NEROIPoolingLayer.cpp',['../_n_e_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
   ['neroipoolinglayer_2eh',['NEROIPoolingLayer.h',['../_n_e_r_o_i_pooling_layer_8h.xhtml',1,'']]],
-  ['neroipoolinglayerfixture',['NEROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad06d0899d199033108e24898ca1da608',1,'arm_compute::test::benchmark']]],
+  ['neroipoolinglayerfixture',['NEROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73ebac00870a7c026f5ce3f96a30debc',1,'arm_compute::test::benchmark']]],
   ['neroipoolinglayerkernel',['NEROIPoolingLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml',1,'NEROIPoolingLayerKernel'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#af874f9c0aae8f8ba2bceb87abfb5e6ce',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ad4e23818db2a0d7323fe8a7947744148',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel(NEROIPoolingLayerKernel &amp;&amp;)=default']]],
   ['neroipoolinglayerkernel_2ecpp',['NEROIPoolingLayerKernel.cpp',['../_n_e_r_o_i_pooling_layer_kernel_8cpp.xhtml',1,'']]],
   ['neroipoolinglayerkernel_2eh',['NEROIPoolingLayerKernel.h',['../_n_e_r_o_i_pooling_layer_kernel_8h.xhtml',1,'']]],
+  ['nersqrtlayer',['NERsqrtLayer',['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml',1,'arm_compute']]],
+  ['nersqrtlayerfixture',['NERsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a523fcd26d15e55fca5ae150c031f2e35',1,'arm_compute::test::validation']]],
   ['nescale',['NEScale',['../classarm__compute_1_1_n_e_scale.xhtml',1,'NEScale'],['../classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657',1,'arm_compute::NEScale::NEScale()']]],
   ['nescale_2ecpp',['NEScale.cpp',['../_n_e_scale_8cpp.xhtml',1,'']]],
   ['nescale_2eh',['NEScale.h',['../_n_e_scale_8h.xhtml',1,'']]],
   ['nescalefixture',['NEScaleFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a13ea79a1960ee4d3d7c359e8436440d0',1,'arm_compute::test::benchmark::NEScaleFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a152f1e4ecfef54bb351850512120791d',1,'arm_compute::test::validation::NEScaleFixture()']]],
+  ['nescalefixture_3c_20int16_5ft_20_3e',['NEScaleFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a782e7f9a04e1f2cdf11bce6889b59a9c',1,'arm_compute::test::validation']]],
+  ['nescalefixture_3c_20uint8_5ft_20_3e',['NEScaleFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a99749e031ebbf3a071aeb598169b2f51',1,'arm_compute::test::validation']]],
   ['nescalekernel',['NEScaleKernel',['../classarm__compute_1_1_n_e_scale_kernel.xhtml',1,'NEScaleKernel'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a025ceb246f7b80a3cb765d33d6a5cfe4',1,'arm_compute::NEScaleKernel::NEScaleKernel()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#afaad06478be3721ab81bb31303e3036d',1,'arm_compute::NEScaleKernel::NEScaleKernel(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a',1,'arm_compute::NEScaleKernel::NEScaleKernel(NEScaleKernel &amp;&amp;)=default']]],
   ['nescalekernel_2ecpp',['NEScaleKernel.cpp',['../_n_e_scale_kernel_8cpp.xhtml',1,'']]],
   ['nescalekernel_2eh',['NEScaleKernel.h',['../_n_e_scale_kernel_8h.xhtml',1,'']]],
+  ['nescalequantizedfixture',['NEScaleQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb53666db95b7f44cd1d9da3bfe9fba9',1,'arm_compute::test::validation']]],
+  ['nescalequantizedfixture_3c_20uint8_5ft_20_3e',['NEScaleQuantizedFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4333a47b069be7e3f1e23740fdec2e99',1,'arm_compute::test::validation']]],
   ['nescharr3x3',['NEScharr3x3',['../classarm__compute_1_1_n_e_scharr3x3.xhtml',1,'arm_compute']]],
   ['nescharr3x3_2ecpp',['NEScharr3x3.cpp',['../_n_e_scharr3x3_8cpp.xhtml',1,'']]],
   ['nescharr3x3_2eh',['NEScharr3x3.h',['../_n_e_scharr3x3_8h.xhtml',1,'']]],
@@ -696,6 +801,13 @@
   ['nescharr3x3kernel_2eh',['NEScharr3x3Kernel.h',['../_n_e_scharr3x3_kernel_8h.xhtml',1,'']]],
   ['nescheduler',['NEScheduler',['../namespacearm__compute.xhtml#a0604c803e41880a4a16408efc4e6a69b',1,'arm_compute']]],
   ['nescheduler_2eh',['NEScheduler.h',['../_n_e_scheduler_8h.xhtml',1,'']]],
+  ['neselect',['NESelect',['../classarm__compute_1_1_n_e_select.xhtml',1,'arm_compute']]],
+  ['neselect_2ecpp',['NESelect.cpp',['../_n_e_select_8cpp.xhtml',1,'']]],
+  ['neselect_2eh',['NESelect.h',['../_n_e_select_8h.xhtml',1,'']]],
+  ['neselectfixture',['NESelectFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa701b1f3cd76f80a5d6e9b463d556557',1,'arm_compute::test::validation']]],
+  ['neselectkernel',['NESelectKernel',['../classarm__compute_1_1_n_e_select_kernel.xhtml',1,'NESelectKernel'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a97b2954539ea17a9b037562fc0033352',1,'arm_compute::NESelectKernel::NESelectKernel()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a28e79640a392e4574acaca0481d4a45f',1,'arm_compute::NESelectKernel::NESelectKernel(const NESelectKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a256e504154f112b56aad2edc13cbce5a',1,'arm_compute::NESelectKernel::NESelectKernel(NESelectKernel &amp;&amp;)=default']]],
+  ['neselectkernel_2ecpp',['NESelectKernel.cpp',['../_n_e_select_kernel_8cpp.xhtml',1,'']]],
+  ['neselectkernel_2eh',['NESelectKernel.h',['../_n_e_select_kernel_8h.xhtml',1,'']]],
   ['neseparableconvolution5x5horkernel',['NESeparableConvolution5x5HorKernel',['../namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b',1,'arm_compute']]],
   ['neseparableconvolution5x5vertkernel',['NESeparableConvolution5x5VertKernel',['../namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b',1,'arm_compute']]],
   ['neseparableconvolution7x7horkernel',['NESeparableConvolution7x7HorKernel',['../namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926',1,'arm_compute']]],
@@ -707,6 +819,10 @@
   ['nesimpleassemblyfunction',['NESimpleAssemblyFunction',['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml',1,'NESimpleAssemblyFunction'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#afb07b1dea50f174ccf0d67a2eb8416a2',1,'arm_compute::NESimpleAssemblyFunction::NESimpleAssemblyFunction()']]],
   ['nesimpleassemblyfunction_2ecpp',['NESimpleAssemblyFunction.cpp',['../_n_e_simple_assembly_function_8cpp.xhtml',1,'']]],
   ['nesimpleassemblyfunction_2eh',['NESimpleAssemblyFunction.h',['../_n_e_simple_assembly_function_8h.xhtml',1,'']]],
+  ['neslice',['NESlice',['../classarm__compute_1_1_n_e_slice.xhtml',1,'arm_compute']]],
+  ['neslice_2ecpp',['NESlice.cpp',['../_n_e_slice_8cpp.xhtml',1,'']]],
+  ['neslice_2eh',['NESlice.h',['../_n_e_slice_8h.xhtml',1,'']]],
+  ['neslicefixture',['NESliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8623c95c2eea5c2c9383fffc61f0e758',1,'arm_compute::test::validation']]],
   ['nesobel3x3',['NESobel3x3',['../classarm__compute_1_1_n_e_sobel3x3.xhtml',1,'arm_compute']]],
   ['nesobel3x3_2ecpp',['NESobel3x3.cpp',['../_n_e_sobel3x3_8cpp.xhtml',1,'']]],
   ['nesobel3x3_2eh',['NESobel3x3.h',['../_n_e_sobel3x3_8h.xhtml',1,'']]],
@@ -730,14 +846,33 @@
   ['nesobel7x7kernel_2ecpp',['NESobel7x7Kernel.cpp',['../_n_e_sobel7x7_kernel_8cpp.xhtml',1,'']]],
   ['nesobel7x7kernel_2eh',['NESobel7x7Kernel.h',['../_n_e_sobel7x7_kernel_8h.xhtml',1,'']]],
   ['nesobel7x7vertkernel',['NESobel7x7VertKernel',['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml',1,'NESobel7x7VertKernel'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a685552a5f91d30d8f5b4ce2003771d18',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ac554b9298d627c5cc4468cf77d8d568d',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel(NESobel7x7VertKernel &amp;&amp;)=default']]],
-  ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml',1,'NESoftmaxLayer'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer()']]],
+  ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml',1,'NESoftmaxLayer'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a09c32ef2afaa6952b300d15b48acb03a',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(const NESoftmaxLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a40b63cceb93aff0543cbd44b452d08e2',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(NESoftmaxLayer &amp;&amp;)=default']]],
   ['nesoftmaxlayer_2ecpp',['NESoftmaxLayer.cpp',['../_n_e_softmax_layer_8cpp.xhtml',1,'']]],
   ['nesoftmaxlayer_2eh',['NESoftmaxLayer.h',['../_n_e_softmax_layer_8h.xhtml',1,'']]],
   ['nesoftmaxlayerfixture',['NESoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a332c02fe617367f14266075c7c046823',1,'arm_compute::test::benchmark::NESoftmaxLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5c860447aeecd9eda9bdbf2d3e31e20',1,'arm_compute::test::validation::NESoftmaxLayerFixture()']]],
   ['nesoftmaxlayerkernel_2ecpp',['NESoftmaxLayerKernel.cpp',['../_n_e_softmax_layer_kernel_8cpp.xhtml',1,'']]],
   ['nesoftmaxlayerkernel_2eh',['NESoftmaxLayerKernel.h',['../_n_e_softmax_layer_kernel_8h.xhtml',1,'']]],
-  ['nesoftmaxlayerquantizedfixture',['NESoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d7e2e1bc1b2dd74136710cad1b8df23',1,'arm_compute::test::validation']]],
   ['nespecialpoolinglayerfixture',['NESpecialPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af668c50d20aabcb45b26e5310b1b6556',1,'arm_compute::test::validation']]],
+  ['nesplit',['NESplit',['../classarm__compute_1_1_n_e_split.xhtml',1,'NESplit'],['../classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15',1,'arm_compute::NESplit::NESplit()']]],
+  ['nesplit_2ecpp',['NESplit.cpp',['../_n_e_split_8cpp.xhtml',1,'']]],
+  ['nesplit_2eh',['NESplit.h',['../_n_e_split_8h.xhtml',1,'']]],
+  ['nesplitfixture',['NESplitFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aef40cf35f72c87a09cf06a81578754f1',1,'arm_compute::test::validation']]],
+  ['nestacklayer',['NEStackLayer',['../classarm__compute_1_1_n_e_stack_layer.xhtml',1,'NEStackLayer'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#a8ca90468cf9e830f73ba50ed7bbb9d53',1,'arm_compute::NEStackLayer::NEStackLayer()']]],
+  ['nestacklayer_2ecpp',['NEStackLayer.cpp',['../_n_e_stack_layer_8cpp.xhtml',1,'']]],
+  ['nestacklayer_2eh',['NEStackLayer.h',['../_n_e_stack_layer_8h.xhtml',1,'']]],
+  ['nestacklayerfixture',['NEStackLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b863087124893b028704d20a6f7f55a',1,'arm_compute::test::validation']]],
+  ['nestacklayerfixture_3c_20char_20_3e',['NEStackLayerFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1d96b063d119ef4bb0fddeddd329935',1,'arm_compute::test::validation']]],
+  ['nestacklayerfixture_3c_20short_20_3e',['NEStackLayerFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#affad4097741f7efe64906523cd8e5abc',1,'arm_compute::test::validation']]],
+  ['nestacklayerkernel',['NEStackLayerKernel',['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml',1,'NEStackLayerKernel'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a1b3396255401298dd2a89721a0ea07ad',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a61e7e4d2e16442301bd4c3ed327ef67a',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel(const NEStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#aea1faaeb5ab2a24b3ff9d339682db06c',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel(NEStackLayerKernel &amp;&amp;)=default']]],
+  ['nestacklayerkernel_2ecpp',['NEStackLayerKernel.cpp',['../_n_e_stack_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nestacklayerkernel_2eh',['NEStackLayerKernel.h',['../_n_e_stack_layer_kernel_8h.xhtml',1,'']]],
+  ['nestridedslice',['NEStridedSlice',['../classarm__compute_1_1_n_e_strided_slice.xhtml',1,'arm_compute']]],
+  ['nestridedslice_2ecpp',['NEStridedSlice.cpp',['../_n_e_strided_slice_8cpp.xhtml',1,'']]],
+  ['nestridedslice_2eh',['NEStridedSlice.h',['../_n_e_strided_slice_8h.xhtml',1,'']]],
+  ['nestridedslicefixture',['NEStridedSliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#abd97ab1f2ca352499a6fad42516b7bbf',1,'arm_compute::test::validation']]],
+  ['nestridedslicekernel',['NEStridedSliceKernel',['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml',1,'NEStridedSliceKernel'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#aa09cd2186f25d44f98564afbcdef8be6',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a11dfc78ade713bbd49a799605736425a',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel(const NEStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a9299a63e228836ebfbb387a28a813dd4',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel(NEStridedSliceKernel &amp;&amp;)=default']]],
+  ['nestridedslicekernel_2ecpp',['NEStridedSliceKernel.cpp',['../_n_e_strided_slice_kernel_8cpp.xhtml',1,'']]],
+  ['nestridedslicekernel_2eh',['NEStridedSliceKernel.h',['../_n_e_strided_slice_kernel_8h.xhtml',1,'']]],
   ['nesubtensorhandle',['NESubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml',1,'NESubTensorHandle'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6595e78bf2c01da58c8f3ea4eb90456d',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(ITensorHandle *parent_handle, const TensorShape &amp;shape, const Coordinates &amp;coords, bool extend_parent=false)'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(const NESubTensorHandle &amp;)=delete']]],
   ['nesubtensorhandle_2ecpp',['NESubTensorHandle.cpp',['../_n_e_sub_tensor_handle_8cpp.xhtml',1,'']]],
   ['nesubtensorhandle_2eh',['NESubTensorHandle.h',['../_n_e_sub_tensor_handle_8h.xhtml',1,'']]],
@@ -759,6 +894,16 @@
   ['nethresholdkernel',['NEThresholdKernel',['../classarm__compute_1_1_n_e_threshold_kernel.xhtml',1,'NEThresholdKernel'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45',1,'arm_compute::NEThresholdKernel::NEThresholdKernel()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0',1,'arm_compute::NEThresholdKernel::NEThresholdKernel(const NEThresholdKernel &amp;)=delete']]],
   ['nethresholdkernel_2ecpp',['NEThresholdKernel.cpp',['../_n_e_threshold_kernel_8cpp.xhtml',1,'']]],
   ['nethresholdkernel_2eh',['NEThresholdKernel.h',['../_n_e_threshold_kernel_8h.xhtml',1,'']]],
+  ['netile',['NETile',['../classarm__compute_1_1_n_e_tile.xhtml',1,'arm_compute']]],
+  ['netile_2ecpp',['NETile.cpp',['../_n_e_tile_8cpp.xhtml',1,'']]],
+  ['netile_2eh',['NETile.h',['../_n_e_tile_8h.xhtml',1,'']]],
+  ['netilefixture',['NETileFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a630c291504e0242d4ce76ef1b7c884b6',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20float_20_3e',['NETileFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ae7e2d3221d170b5e6527ff663fe7aa',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20int8_5ft_20_3e',['NETileFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c4249453e7699f5a8fd697b39955378',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20uint8_5ft_20_3e',['NETileFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#abbd7a6addf17e979b28101fbfc066ff8',1,'arm_compute::test::validation']]],
+  ['netilekernel',['NETileKernel',['../classarm__compute_1_1_n_e_tile_kernel.xhtml',1,'NETileKernel'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a8e999067ec3b8a7f2bbf7f4b88a4fe43',1,'arm_compute::NETileKernel::NETileKernel()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a158e0205c27d5d36f5353f7ade72040d',1,'arm_compute::NETileKernel::NETileKernel(const NETileKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a32733ae7a20e85a071a80feee1964952',1,'arm_compute::NETileKernel::NETileKernel(NETileKernel &amp;&amp;)=default']]],
+  ['netilekernel_2ecpp',['NETileKernel.cpp',['../_n_e_tile_kernel_8cpp.xhtml',1,'']]],
+  ['netilekernel_2eh',['NETileKernel.h',['../_n_e_tile_kernel_8h.xhtml',1,'']]],
   ['netranspose',['NETranspose',['../classarm__compute_1_1_n_e_transpose.xhtml',1,'arm_compute']]],
   ['netranspose_2ecpp',['NETranspose.cpp',['../_n_e_transpose_8cpp.xhtml',1,'']]],
   ['netranspose_2eh',['NETranspose.h',['../_n_e_transpose_8h.xhtml',1,'']]],
@@ -766,6 +911,10 @@
   ['netransposekernel',['NETransposeKernel',['../classarm__compute_1_1_n_e_transpose_kernel.xhtml',1,'NETransposeKernel'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a3a5122ad042e8f04a6cd96980bce3d49',1,'arm_compute::NETransposeKernel::NETransposeKernel()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe',1,'arm_compute::NETransposeKernel::NETransposeKernel(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ae24f3159088ed25c27231fe58e43c424',1,'arm_compute::NETransposeKernel::NETransposeKernel(NETransposeKernel &amp;&amp;)=default']]],
   ['netransposekernel_2ecpp',['NETransposeKernel.cpp',['../_n_e_transpose_kernel_8cpp.xhtml',1,'']]],
   ['netransposekernel_2eh',['NETransposeKernel.h',['../_n_e_transpose_kernel_8h.xhtml',1,'']]],
+  ['neunstack',['NEUnstack',['../classarm__compute_1_1_n_e_unstack.xhtml',1,'NEUnstack'],['../classarm__compute_1_1_n_e_unstack.xhtml#a9fe1c034f87de9f4f8f123df10aa624b',1,'arm_compute::NEUnstack::NEUnstack()']]],
+  ['neunstack_2ecpp',['NEUnstack.cpp',['../_n_e_unstack_8cpp.xhtml',1,'']]],
+  ['neunstack_2eh',['NEUnstack.h',['../_n_e_unstack_8h.xhtml',1,'']]],
+  ['neunstackfixture',['NEUnstackFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a20a17a8e59e65e544949213b6095d0a6',1,'arm_compute::test::validation']]],
   ['neupsamplelayer',['NEUpsampleLayer',['../classarm__compute_1_1_n_e_upsample_layer.xhtml',1,'NEUpsampleLayer'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a0e6dc893a9d100e940ef58f6df26c31a',1,'arm_compute::NEUpsampleLayer::NEUpsampleLayer()']]],
   ['neupsamplelayer_2ecpp',['NEUpsampleLayer.cpp',['../_n_e_upsample_layer_8cpp.xhtml',1,'']]],
   ['neupsamplelayer_2eh',['NEUpsampleLayer.h',['../_n_e_upsample_layer_8h.xhtml',1,'']]],
@@ -799,7 +948,6 @@
   ['newinogradconvolutionlayer',['NEWinogradConvolutionLayer',['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml',1,'NEWinogradConvolutionLayer'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ab363cda8398693d470a3e76b538b7615',1,'arm_compute::NEWinogradConvolutionLayer::NEWinogradConvolutionLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a5adf00d4ee113decca5848feb9684e08',1,'arm_compute::NEWinogradConvolutionLayer::NEWinogradConvolutionLayer(const NEWinogradConvolutionLayer &amp;)=delete']]],
   ['newinogradconvolutionlayer_2ecpp',['NEWinogradConvolutionLayer.cpp',['../_n_e_winograd_convolution_layer_8cpp.xhtml',1,'']]],
   ['newinogradconvolutionlayer_2eh',['NEWinogradConvolutionLayer.h',['../_n_e_winograd_convolution_layer_8h.xhtml',1,'']]],
-  ['newinogradconvolutionlayerfixture',['NEWinogradConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd007c058c59ab7abc7c4baec7d426d6',1,'arm_compute::test::validation']]],
   ['newinogradconvolutionlayerfixture_3c_20float_20_3e',['NEWinogradConvolutionLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a123fca581853db28cc4d78255ab19c31',1,'arm_compute::test::validation']]],
   ['newinogradconvolutionlayerkernel_2ecpp',['NEWinogradConvolutionLayerKernel.cpp',['../_n_e_winograd_convolution_layer_kernel_8cpp.xhtml',1,'']]],
   ['newinogradconvolutionlayerkernel_2eh',['NEWinogradConvolutionLayerKernel.h',['../_n_e_winograd_convolution_layer_kernel_8h.xhtml',1,'']]],
@@ -820,6 +968,7 @@
   ['nightly',['NIGHTLY',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3',1,'arm_compute::test::framework']]],
   ['nms',['nms',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672',1,'arm_compute::BoxNMSLimitInfo']]],
   ['nms_5fthres',['nms_thres',['../classarm__compute_1_1_generate_proposals_info.xhtml#aff8f31ab7ca98957eb196d34a3da3d68',1,'arm_compute::GenerateProposalsInfo']]],
+  ['nms_5fthreshold',['nms_threshold',['../classarm__compute_1_1_detection_output_layer_info.xhtml#af14fc4cf24dfb69a0f225a582ef01d54',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['nmstype',['NMSType',['../namespacearm__compute.xhtml#a201391f6e13e2a1ac203256a77792718',1,'arm_compute']]],
   ['no_5fedge',['NO_EDGE',['../canny_8cl.xhtml#a333a1d2eee75220d5161fdb0e778867d',1,'canny.cl']]],
   ['node',['node',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a320fd40947b71565b239ec2bda243760',1,'arm_compute::graph::ExecutionTask::node()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a',1,'arm_compute::graph::Graph::node(NodeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#af03a199882fdad91c9d20fc3e6ee2a57',1,'arm_compute::graph::Graph::node(NodeID id)']]],
@@ -848,22 +997,24 @@
   ['non_5flinear_5ffilter_5fdisk3x3',['non_linear_filter_disk3x3',['../non__linear__filter3x3_8cl.xhtml#a37f5aa2a4245f4b6b925640f73a77fdb',1,'non_linear_filter3x3.cl']]],
   ['non_5flinear_5ffilter_5fdisk5x5',['non_linear_filter_disk5x5',['../non__linear__filter5x5_8cl.xhtml#a51c3020615fa62c7524d316ba1019a58',1,'non_linear_filter5x5.cl']]],
   ['non_5flinear_5ffilter_5fhelpers_2eh',['non_linear_filter_helpers.h',['../non__linear__filter__helpers_8h.xhtml',1,'']]],
-  ['non_5fmax_5fsuppression',['non_max_suppression',['../nonmax_8cl.xhtml#a07874f4cb83d115b3c588835d17a8f93',1,'nonmax.cl']]],
+  ['non_5fmax_5fsuppression',['non_max_suppression',['../nonmax_8cl.xhtml#a07874f4cb83d115b3c588835d17a8f93',1,'non_max_suppression():&#160;nonmax.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a76dd3fc8793c1e670a54fad76c147781',1,'arm_compute::test::validation::reference::non_max_suppression()']]],
   ['non_5fmaxima_5fsuppression',['non_maxima_suppression',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60e89e48713565425943913adec65294',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4f89718e67b6cc5ce13ce5ea3a789a88',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; float &gt; &amp;src, BorderMode border_mode, float constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a354498d36b78c3c042d34e44d95b0287',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['none',['NONE',['../namespacearm__compute.xhtml#a5558e2cc22f7f4771653d992c8ad8864ab50339a10e1de285ac99d4c3990b8693',1,'arm_compute::NONE()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9ab50339a10e1de285ac99d4c3990b8693',1,'arm_compute::test::framework::NONE()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100ab50339a10e1de285ac99d4c3990b8693',1,'arm_compute::test::framework::NONE()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005ab50339a10e1de285ac99d4c3990b8693',1,'arm_compute::test::framework::NONE()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a043aa97de3c71ad015852f46ec4cc6adab50339a10e1de285ac99d4c3990b8693',1,'arm_compute::test::framework::NONE()']]],
   ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../_c_l_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)']]],
   ['nonlinearfilter_2eh',['NonLinearFilter.h',['../_non_linear_filter_8h.xhtml',1,'']]],
   ['nonlinearfilterfunction',['NonLinearFilterFunction',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858',1,'arm_compute']]],
   ['nonmax_2ecl',['nonmax.cl',['../nonmax_8cl.xhtml',1,'']]],
+  ['nonmaximalsuppression_2ecpp',['NonMaximalSuppression.cpp',['../_non_maximal_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2ecpp',['NonMaximaSuppression.cpp',['../_non_maxima_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2eh',['NonMaximaSuppression.h',['../_non_maxima_suppression_8h.xhtml',1,'']]],
+  ['nonmaxsuppression_2ecpp',['NonMaxSuppression.cpp',['../_non_max_suppression_8cpp.xhtml',1,'']]],
+  ['nonmaxsuppression_2eh',['NonMaxSuppression.h',['../_non_max_suppression_8h.xhtml',1,'']]],
   ['nopadding',['NoPadding',['../structarm__compute_1_1_i_o_format_info.xhtml#ae283722f31a4c59039f9abd44f10dbd0a23bb2bd76e5604aace0bdaa7b279a8fd',1,'arm_compute::IOFormatInfo']]],
   ['norm_5fsize',['norm_size',['../classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43',1,'arm_compute::NormalizationLayerInfo']]],
   ['normal',['NORMAL',['../namespacearm__compute.xhtml#a4c9101ca1a1f72f48efff28b4b9a6495a1e23852820b9154316c7c06e2b7ba051',1,'arm_compute']]],
   ['normalization_5finfo',['normalization_info',['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3bfea94983e45ff8d1a3061206593349',1,'arm_compute::graph::NormalizationLayerNode']]],
   ['normalization_5flayer',['normalization_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12f5205aa3c3e8056da83444c0a18c29',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; T &gt; &amp;src, NormalizationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a451c44627ad6c06f72667812f2a9782d',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; float &gt; &amp;src, NormalizationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a677c65b33a30875799e387168f59758e',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; half &gt; &amp;src, NormalizationLayerInfo info)']]],
   ['normalization_5flayer_2ecl',['normalization_layer.cl',['../normalization__layer_8cl.xhtml',1,'']]],
-  ['normalization_5flayer_5fcross_5fmap',['normalization_layer_cross_map',['../normalization__layer_8cl.xhtml#a7db22b7ddf8f433e02ede3bd9c56d9d9',1,'normalization_layer.cl']]],
   ['normalization_5ftype',['normalization_type',['../classarm__compute_1_1_h_o_g_info.xhtml#a5a4a2ab2f4396cc64b4a5676a90d7f07',1,'arm_compute::HOGInfo']]],
   ['normalizationlayer',['NormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml',1,'NormalizationLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#ada275ffd82f624b62bdbc2f01349fe33',1,'arm_compute::graph::frontend::NormalizationLayer::NormalizationLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a227ecc6e858c8d1f61664f1967173bea',1,'arm_compute::graph::NormalizationLayer()']]],
   ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_c_l_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -876,6 +1027,7 @@
   ['normalize_5fplanar_5fyuv_5flayer_2ecl',['normalize_planar_yuv_layer.cl',['../normalize__planar__yuv__layer_8cl.xhtml',1,'']]],
   ['normalize_5fplanar_5fyuv_5flayer_3c_20uint8_5ft_20_3e',['normalize_planar_yuv_layer&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a27565b2b0910dcc67b2d93d96d842768',1,'arm_compute::test::validation::reference']]],
   ['normalize_5fplanar_5fyuv_5flayer_5fquantized_2ecl',['normalize_planar_yuv_layer_quantized.cl',['../normalize__planar__yuv__layer__quantized_8cl.xhtml',1,'']]],
+  ['normalizedbbox',['NormalizedBBox',['../namespacearm__compute.xhtml#a4ec997c1b05a1fd406828bc7e1f41dad',1,'arm_compute']]],
   ['normalizeplanaryuvlayer',['NormalizePlanarYUVLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml',1,'NormalizePlanarYUVLayer'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a6c61e8c3eb59a3587817a7250b0bb6ac',1,'arm_compute::graph::frontend::NormalizePlanarYUVLayer::NormalizePlanarYUVLayer()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a7844e69eea1226939211d12a975aa512',1,'arm_compute::graph::NormalizePlanarYUVLayer()']]],
   ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['normalizeplanaryuvlayer_2eh',['NormalizePlanarYUVLayer.h',['../_normalize_planar_y_u_v_layer_8h.xhtml',1,'']]],
@@ -883,7 +1035,9 @@
   ['normalizeplanaryuvlayernode_2ecpp',['NormalizePlanarYUVLayerNode.cpp',['../_normalize_planar_y_u_v_layer_node_8cpp.xhtml',1,'']]],
   ['normalizeplanaryuvlayernode_2eh',['NormalizePlanarYUVLayerNode.h',['../_normalize_planar_y_u_v_layer_node_8h.xhtml',1,'']]],
   ['normtype',['NormType',['../namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59ca',1,'arm_compute']]],
+  ['not_2eh',['not.h',['../not_8h.xhtml',1,'']]],
   ['not_5frun',['NOT_RUN',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bad3cbb6cb9043ad908cdd5414236e6603',1,'arm_compute::test::framework::TestResult']]],
+  ['notequal',['NotEqual',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96',1,'arm_compute::NotEqual()'],['../comparisons_8cl.xhtml#a5c1ab9f461f063396901d38afda00fc2',1,'NOTEQUAL():&#160;comparisons.cl']]],
   ['npyloader',['NPYLoader',['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml',1,'NPYLoader'],['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa',1,'arm_compute::utils::NPYLoader::NPYLoader()']]],
   ['nulltensorid',['NullTensorID',['../namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24',1,'arm_compute::graph']]],
   ['num_5farguments_5fper_5f1d_5farray',['num_arguments_per_1D_array',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0',1,'arm_compute::ICLKernel']]],
@@ -893,11 +1047,12 @@
   ['num_5farguments_5fper_5f4d_5ftensor',['num_arguments_per_4D_tensor',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73',1,'arm_compute::ICLKernel']]],
   ['num_5fbins',['num_bins',['../classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346',1,'arm_compute::HOGInfo::num_bins()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad96530ddba514601d376f991b568b346',1,'arm_compute::IDistribution1D::num_bins()']]],
   ['num_5fblock_5fpositions_5fper_5fimage',['num_block_positions_per_image',['../classarm__compute_1_1_h_o_g_info.xhtml#a576ef6e002aae702e9c619a1afd31ddb',1,'arm_compute::HOGInfo']]],
+  ['num_5fbuffers',['num_buffers',['../classarm__compute_1_1_i_buffer_manager.xhtml#ad4bcb73f9fec73d00bccf07845c5a16f',1,'arm_compute::IBufferManager']]],
   ['num_5fcells_5fper_5fblock',['num_cells_per_block',['../classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f',1,'arm_compute::HOGInfo']]],
   ['num_5fcells_5fper_5fblock_5fstride',['num_cells_per_block_stride',['../classarm__compute_1_1_h_o_g_info.xhtml#a3d18e8be8055827aa09839f6972ff271',1,'arm_compute::HOGInfo']]],
   ['num_5fchannels',['num_channels',['../classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba',1,'arm_compute::ITensorInfo::num_channels()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c',1,'arm_compute::SubTensorInfo::num_channels()'],['../classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c',1,'arm_compute::TensorInfo::num_channels()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::CLAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::GCAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459',1,'arm_compute::test::IAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::Accessor::num_channels()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::SimpleTensor::num_channels()']]],
   ['num_5fchannels_5ffrom_5fformat',['num_channels_from_format',['../namespacearm__compute.xhtml#ab14153fb809c18823af3c9c8bc4286cb',1,'arm_compute']]],
-  ['num_5fclasses',['num_classes',['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a',1,'arm_compute::graph::YOLOLayerNode']]],
+  ['num_5fclasses',['num_classes',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a2411dd5edb9ccb581d303f3396e9c14c',1,'arm_compute::DetectionOutputLayerInfo::num_classes()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a',1,'arm_compute::graph::YOLOLayerNode::num_classes()']]],
   ['num_5fcores',['num_cores',['../structarm__compute_1_1_c_l_device_options.xhtml#a9a872bd67ec83bfb515dba6201dda27a',1,'arm_compute::CLDeviceOptions']]],
   ['num_5fdimensions',['num_dimensions',['../classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615',1,'arm_compute::Dimensions::num_dimensions()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d',1,'arm_compute::ITensorInfo::num_dimensions()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b',1,'arm_compute::SubTensorInfo::num_dimensions()'],['../classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b',1,'arm_compute::TensorInfo::num_dimensions()']]],
   ['num_5felements',['num_elements',['../classarm__compute_1_1_i_lut.xhtml#a7a826fbb4f639c556352d1ede69187d7',1,'arm_compute::ILut::num_elements()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958',1,'arm_compute::CLLut::num_elements()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#ab13544f21571d4f4dd804cb4b96e2987',1,'arm_compute::ILutAllocator::num_elements()'],['../classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958',1,'arm_compute::Lut::num_elements()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::CLAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::CLLutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::GCAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e',1,'arm_compute::test::IAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e',1,'arm_compute::test::ILutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::Accessor::num_elements()'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::LutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::RawLutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::SimpleTensor::num_elements()']]],
@@ -907,13 +1062,16 @@
   ['num_5fiterations_5ftotal',['num_iterations_total',['../classarm__compute_1_1_window.xhtml#a0654fca130488c15b4b66a9b7131c142',1,'arm_compute::Window']]],
   ['num_5fkernels',['num_kernels',['../classarm__compute_1_1_weights_info.xhtml#ab039f58ba3db07baaba2cbdc65608dbb',1,'arm_compute::WeightsInfo']]],
   ['num_5flevels',['num_levels',['../classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6',1,'arm_compute::PyramidInfo']]],
+  ['num_5floc_5fclasses',['num_loc_classes',['../classarm__compute_1_1_detection_output_layer_info.xhtml#ae82a2ccc5739cb255a9a7679d6161399',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['num_5fmax_5fdimensions',['num_max_dimensions',['../classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc',1,'arm_compute::Dimensions']]],
   ['num_5fmodels',['num_models',['../classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02',1,'arm_compute::IMultiHOG::num_models()'],['../classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329',1,'arm_compute::CLMultiHOG::num_models()'],['../classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329',1,'arm_compute::MultiHOG::num_models()']]],
   ['num_5fnum_5felems_5fprocessed_5fper_5fiteration',['num_num_elems_processed_per_iteration',['../namespacearm__compute.xhtml#a13d15bf68bbaf481be9ba3988b1cf779',1,'arm_compute']]],
+  ['num_5fof_5felements_5fin_5frange',['num_of_elements_in_range',['../namespacearm__compute.xhtml#a22ef3e50f7dbf08c974a120588e1ad90',1,'arm_compute']]],
   ['num_5foutputs',['num_outputs',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc',1,'arm_compute::graph::INode']]],
   ['num_5fplanes_5ffrom_5fformat',['num_planes_from_format',['../namespacearm__compute.xhtml#a2a71659def659c8b1c164023a99a25a9',1,'arm_compute']]],
   ['num_5fpools',['num_pools',['../classarm__compute_1_1_i_pool_manager.xhtml#a57e6036b79c8583ca2f23771e4b7052a',1,'arm_compute::IPoolManager::num_pools()'],['../classarm__compute_1_1_pool_manager.xhtml#ae6779aff1846cda85a356089ee5e45f6',1,'arm_compute::PoolManager::num_pools()']]],
   ['num_5fsplits',['num_splits',['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#aa5059ce7798ddeeb40b9f6659b851b8b',1,'arm_compute::graph::SplitLayerNode']]],
+  ['num_5ftensors',['num_tensors',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f2a0a7758d36198492af046c46ddbf5',1,'arm_compute::test::validation']]],
   ['num_5fthreads',['num_threads',['../structarm__compute_1_1_thread_info.xhtml#a08963f7335eef295237ab460863bc3d5',1,'arm_compute::ThreadInfo::num_threads()'],['../structarm__compute_1_1graph_1_1_graph_config.xhtml#a08963f7335eef295237ab460863bc3d5',1,'arm_compute::graph::GraphConfig::num_threads()'],['../classarm__compute_1_1_c_p_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7',1,'arm_compute::CPPScheduler::num_threads()'],['../classarm__compute_1_1_i_scheduler.xhtml#ac24584a63e484123e3756d1b2a1c9e2f',1,'arm_compute::IScheduler::num_threads()'],['../classarm__compute_1_1_o_m_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7',1,'arm_compute::OMPScheduler::num_threads()'],['../classarm__compute_1_1_single_thread_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7',1,'arm_compute::SingleThreadScheduler::num_threads()']]],
   ['num_5fthreads_5fhint',['num_threads_hint',['../classarm__compute_1_1_i_scheduler.xhtml#a6de5358eb9a099cda48662b2fc523ec5',1,'arm_compute::IScheduler']]],
   ['num_5fvalues',['num_values',['../classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c',1,'arm_compute::IArray::num_values()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb',1,'arm_compute::test::CLArrayAccessor::num_values()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a19ecfde9ec6b2dda6d06cc79dd8d956c',1,'arm_compute::test::IArrayAccessor::num_values()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb',1,'arm_compute::test::ArrayAccessor::num_values()']]],
diff --git a/documentation/search/classes_0.html b/documentation/search/classes_0.html
index 1c3e406..b3c6ec6 100644
--- a/documentation/search/classes_0.html
+++ b/documentation/search/classes_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_1.html b/documentation/search/classes_1.html
index a8e7069..b744c4d 100644
--- a/documentation/search/classes_1.html
+++ b/documentation/search/classes_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_10.html b/documentation/search/classes_10.html
index c1a9355..2690032 100644
--- a/documentation/search/classes_10.html
+++ b/documentation/search/classes_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_11.html b/documentation/search/classes_11.html
index 2df8ed3..e9f8eab 100644
--- a/documentation/search/classes_11.html
+++ b/documentation/search/classes_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_12.html b/documentation/search/classes_12.html
index 9413245..c20b926 100644
--- a/documentation/search/classes_12.html
+++ b/documentation/search/classes_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_12.js b/documentation/search/classes_12.js
index fdc354e..74f416f 100644
--- a/documentation/search/classes_12.js
+++ b/documentation/search/classes_12.js
@@ -2,6 +2,7 @@
 [
   ['randomaccessor',['RandomAccessor',['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml',1,'arm_compute::graph_utils']]],
   ['rangedataset',['RangeDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
+  ['rangeduniformdistribution',['RangedUniformDistribution',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml',1,'arm_compute::utils::random']]],
   ['rawlutaccessor',['RawLutAccessor',['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml',1,'arm_compute::test']]],
   ['rawtensor',['RawTensor',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml',1,'arm_compute::test']]],
   ['rectangle',['Rectangle',['../structarm__compute_1_1_rectangle.xhtml',1,'arm_compute']]],
@@ -15,7 +16,6 @@
   ['resizelayer',['ResizeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['resizelayernode',['ResizeLayerNode',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml',1,'arm_compute::graph']]],
   ['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml',1,'arm_compute::utils::iterable']]],
-  ['roi',['ROI',['../structarm__compute_1_1_r_o_i.xhtml',1,'arm_compute']]],
   ['roialignlayer',['ROIAlignLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['roialignlayernode',['ROIAlignLayerNode',['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml',1,'arm_compute::graph']]],
   ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml',1,'arm_compute']]]
diff --git a/documentation/search/classes_13.html b/documentation/search/classes_13.html
index 00fb7b0..524085f 100644
--- a/documentation/search/classes_13.html
+++ b/documentation/search/classes_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_13.js b/documentation/search/classes_13.js
index a73a27f..6f142be 100644
--- a/documentation/search/classes_13.js
+++ b/documentation/search/classes_13.js
@@ -13,6 +13,7 @@
   ['simpleoption_3c_20logformat_20_3e',['SimpleOption&lt; LogFormat &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpleoption_3c_20loglevel_20_3e',['SimpleOption&lt; LogLevel &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpleoption_3c_20std_3a_3astring_20_3e',['SimpleOption&lt; std::string &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20unsigned_20int_20_3e',['SimpleOption&lt; unsigned int &gt;',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpletensor',['SimpleTensor',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
   ['simpletensor_3c_20uint8_5ft_20_3e',['SimpleTensor&lt; uint8_t &gt;',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
   ['simpletestcasefactory',['SimpleTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_simple_test_case_factory.xhtml',1,'arm_compute::test::framework']]],
diff --git a/documentation/search/classes_14.html b/documentation/search/classes_14.html
index 1591644..8e2bfaf 100644
--- a/documentation/search/classes_14.html
+++ b/documentation/search/classes_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_15.html b/documentation/search/classes_15.html
index 7287d6a..4261ecc 100644
--- a/documentation/search/classes_15.html
+++ b/documentation/search/classes_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_16.html b/documentation/search/classes_16.html
index 3ca7fe1..edbcc44 100644
--- a/documentation/search/classes_16.html
+++ b/documentation/search/classes_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_17.html b/documentation/search/classes_17.html
index 1890605..ca5168c 100644
--- a/documentation/search/classes_17.html
+++ b/documentation/search/classes_17.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_17.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_18.html b/documentation/search/classes_18.html
index de39095..93f981f 100644
--- a/documentation/search/classes_18.html
+++ b/documentation/search/classes_18.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_18.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_19.html b/documentation/search/classes_19.html
index 58b1bf1..72d08ec 100644
--- a/documentation/search/classes_19.html
+++ b/documentation/search/classes_19.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_19.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_2.html b/documentation/search/classes_2.html
index 5c09c96..7878acb 100644
--- a/documentation/search/classes_2.html
+++ b/documentation/search/classes_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_2.js b/documentation/search/classes_2.js
index 15f084e..472e46f 100644
--- a/documentation/search/classes_2.js
+++ b/documentation/search/classes_2.js
@@ -5,6 +5,7 @@
   ['batchnormalizationlayer',['BatchNormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['batchnormalizationlayernode',['BatchNormalizationLayerNode',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml',1,'arm_compute::graph']]],
   ['bifrosttuner',['BifrostTuner',['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml',1,'arm_compute::tuners']]],
+  ['blobinfo',['BlobInfo',['../structarm__compute_1_1_blob_info.xhtml',1,'arm_compute']]],
   ['bloblifetimemanager',['BlobLifetimeManager',['../classarm__compute_1_1_blob_lifetime_manager.xhtml',1,'arm_compute']]],
   ['blobmemorypool',['BlobMemoryPool',['../classarm__compute_1_1_blob_memory_pool.xhtml',1,'arm_compute']]],
   ['bordersize',['BorderSize',['../structarm__compute_1_1_border_size.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_3.html b/documentation/search/classes_3.html
index 5faaeba..c231d86 100644
--- a/documentation/search/classes_3.html
+++ b/documentation/search/classes_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_3.js b/documentation/search/classes_3.js
index d99f5f4..0b24c93 100644
--- a/documentation/search/classes_3.js
+++ b/documentation/search/classes_3.js
@@ -16,12 +16,11 @@
   ['claccumulateweightedkernel',['CLAccumulateWeightedKernel',['../classarm__compute_1_1_c_l_accumulate_weighted_kernel.xhtml',1,'arm_compute']]],
   ['clactivationlayer',['CLActivationLayer',['../classarm__compute_1_1_c_l_activation_layer.xhtml',1,'arm_compute']]],
   ['clactivationlayerkernel',['CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clargminmaxlayer',['CLArgMinMaxLayer',['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml',1,'arm_compute']]],
   ['clarithmeticaddition',['CLArithmeticAddition',['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml',1,'arm_compute']]],
-  ['clarithmeticadditionkernel',['CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml',1,'arm_compute']]],
   ['clarithmeticdivision',['CLArithmeticDivision',['../classarm__compute_1_1_c_l_arithmetic_division.xhtml',1,'arm_compute']]],
-  ['clarithmeticdivisionkernel',['CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml',1,'arm_compute']]],
+  ['clarithmeticoperationkernel',['CLArithmeticOperationKernel',['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['clarithmeticsubtraction',['CLArithmeticSubtraction',['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml',1,'arm_compute']]],
-  ['clarithmeticsubtractionkernel',['CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml',1,'arm_compute']]],
   ['clarray',['CLArray',['../classarm__compute_1_1_c_l_array.xhtml',1,'arm_compute']]],
   ['clarrayaccessor',['CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml',1,'arm_compute::test']]],
   ['clbatchnormalizationlayer',['CLBatchNormalizationLayer',['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml',1,'arm_compute']]],
@@ -44,6 +43,7 @@
   ['clbuffermemoryregion',['CLBufferMemoryRegion',['../classarm__compute_1_1_c_l_buffer_memory_region.xhtml',1,'arm_compute']]],
   ['clbuildoptions',['CLBuildOptions',['../classarm__compute_1_1_c_l_build_options.xhtml',1,'arm_compute']]],
   ['clcannyedge',['CLCannyEdge',['../classarm__compute_1_1_c_l_canny_edge.xhtml',1,'arm_compute']]],
+  ['clcast',['CLCast',['../classarm__compute_1_1_c_l_cast.xhtml',1,'arm_compute']]],
   ['clchannelcombine',['CLChannelCombine',['../classarm__compute_1_1_c_l_channel_combine.xhtml',1,'arm_compute']]],
   ['clchannelcombinekernel',['CLChannelCombineKernel',['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml',1,'arm_compute']]],
   ['clchannelextract',['CLChannelExtract',['../classarm__compute_1_1_c_l_channel_extract.xhtml',1,'arm_compute']]],
@@ -55,6 +55,9 @@
   ['clcol2imkernel',['CLCol2ImKernel',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml',1,'arm_compute']]],
   ['clcolorconvert',['CLColorConvert',['../classarm__compute_1_1_c_l_color_convert.xhtml',1,'arm_compute']]],
   ['clcolorconvertkernel',['CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml',1,'arm_compute']]],
+  ['clcomparison',['CLComparison',['../classarm__compute_1_1_c_l_comparison.xhtml',1,'arm_compute']]],
+  ['clcomparisonkernel',['CLComparisonKernel',['../classarm__compute_1_1_c_l_comparison_kernel.xhtml',1,'arm_compute']]],
+  ['clcomparisonstatic',['CLComparisonStatic',['../classarm__compute_1_1_c_l_comparison_static.xhtml',1,'arm_compute']]],
   ['clcomputeallanchors',['CLComputeAllAnchors',['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml',1,'arm_compute']]],
   ['clcomputeallanchorskernel',['CLComputeAllAnchorsKernel',['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml',1,'arm_compute']]],
   ['clconcatenatelayer',['CLConcatenateLayer',['../classarm__compute_1_1_c_l_concatenate_layer.xhtml',1,'arm_compute']]],
@@ -81,10 +84,11 @@
   ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel',['CLDepthwiseConvolutionLayer3x3NCHWKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml',1,'arm_compute']]],
   ['cldepthwiseconvolutionlayer3x3nhwckernel',['CLDepthwiseConvolutionLayer3x3NHWCKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml',1,'arm_compute']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel',['CLDepthwiseConvolutionLayerReshapeWeightsKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml',1,'arm_compute']]],
   ['cldepthwiseim2colkernel',['CLDepthwiseIm2ColKernel',['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml',1,'arm_compute']]],
   ['cldepthwiseseparableconvolutionlayer',['CLDepthwiseSeparableConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml',1,'arm_compute']]],
   ['cldepthwisevectortotensorkernel',['CLDepthwiseVectorToTensorKernel',['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml',1,'arm_compute']]],
-  ['cldepthwiseweightsreshapekernel',['CLDepthwiseWeightsReshapeKernel',['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml',1,'arm_compute']]],
   ['cldequantizationlayer',['CLDequantizationLayer',['../classarm__compute_1_1_c_l_dequantization_layer.xhtml',1,'arm_compute']]],
   ['cldequantizationlayerkernel',['CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml',1,'arm_compute']]],
   ['clderivative',['CLDerivative',['../classarm__compute_1_1_c_l_derivative.xhtml',1,'arm_compute']]],
@@ -99,9 +103,15 @@
   ['cldistribution1d',['CLDistribution1D',['../classarm__compute_1_1_c_l_distribution1_d.xhtml',1,'arm_compute']]],
   ['cledgenonmaxsuppressionkernel',['CLEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml',1,'arm_compute']]],
   ['cledgetracekernel',['CLEdgeTraceKernel',['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml',1,'arm_compute']]],
+  ['clelementwisemax',['CLElementwiseMax',['../classarm__compute_1_1_c_l_elementwise_max.xhtml',1,'arm_compute']]],
+  ['clelementwisemin',['CLElementwiseMin',['../classarm__compute_1_1_c_l_elementwise_min.xhtml',1,'arm_compute']]],
+  ['clelementwiseoperationkernel',['CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml',1,'arm_compute']]],
+  ['clelementwisesquareddiff',['CLElementwiseSquaredDiff',['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml',1,'arm_compute']]],
+  ['clelementwiseunarylayerkernel',['CLElementWiseUnaryLayerKernel',['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml',1,'arm_compute']]],
   ['clequalizehistogram',['CLEqualizeHistogram',['../classarm__compute_1_1_c_l_equalize_histogram.xhtml',1,'arm_compute']]],
   ['clerode',['CLErode',['../classarm__compute_1_1_c_l_erode.xhtml',1,'arm_compute']]],
   ['clerodekernel',['CLErodeKernel',['../classarm__compute_1_1_c_l_erode_kernel.xhtml',1,'arm_compute']]],
+  ['clexplayer',['CLExpLayer',['../classarm__compute_1_1_c_l_exp_layer.xhtml',1,'arm_compute']]],
   ['clfastcorners',['CLFastCorners',['../classarm__compute_1_1_c_l_fast_corners.xhtml',1,'arm_compute']]],
   ['clfastcornerskernel',['CLFastCornersKernel',['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml',1,'arm_compute']]],
   ['clfillborder',['CLFillBorder',['../classarm__compute_1_1_c_l_fill_border.xhtml',1,'arm_compute']]],
@@ -116,6 +126,8 @@
   ['clfunctionfactory',['CLFunctionFactory',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml',1,'arm_compute::graph::backends']]],
   ['clfusebatchnormalization',['CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml',1,'arm_compute']]],
   ['clfusebatchnormalizationkernel',['CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml',1,'arm_compute']]],
+  ['clgather',['CLGather',['../classarm__compute_1_1_c_l_gather.xhtml',1,'arm_compute']]],
+  ['clgatherkernel',['CLGatherKernel',['../classarm__compute_1_1_c_l_gather_kernel.xhtml',1,'arm_compute']]],
   ['clgaussian3x3',['CLGaussian3x3',['../classarm__compute_1_1_c_l_gaussian3x3.xhtml',1,'arm_compute']]],
   ['clgaussian3x3kernel',['CLGaussian3x3Kernel',['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml',1,'arm_compute']]],
   ['clgaussian5x5',['CLGaussian5x5',['../classarm__compute_1_1_c_l_gaussian5x5.xhtml',1,'arm_compute']]],
@@ -134,6 +146,7 @@
   ['clgemmlowpmatrixbreductionkernel',['CLGEMMLowpMatrixBReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplycore',['CLGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml',1,'arm_compute']]],
   ['clgemmlowpmatrixmultiplykernel',['CLGEMMLowpMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel',['CLGEMMLowpMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpoffsetcontributionoutputstagekernel',['CLGEMMLowpOffsetContributionOutputStageKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml',1,'arm_compute']]],
   ['clgemmlowpquantizedownint32touint8scale',['CLGEMMLowpQuantizeDownInt32ToUint8Scale',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml',1,'arm_compute']]],
@@ -145,7 +158,12 @@
   ['clgemmmatrixaccumulatebiaseskernel',['CLGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixadditionkernel',['CLGEMMMatrixAdditionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixmultiplykernel',['CLGEMMMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
   ['clgemmmatrixvectormultiplykernel',['CLGEMMMatrixVectorMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmreshapedconfigurationbifrost',['CLGEMMReshapedConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
+  ['clgemmreshapedconfigurationfactory',['CLGEMMReshapedConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
+  ['clgemmreshapelhsmatrixkernel',['CLGEMMReshapeLHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
+  ['clgemmreshaperhsmatrixkernel',['CLGEMMReshapeRHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
   ['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml',1,'arm_compute']]],
   ['clgemmtranspose1xwkernel',['CLGEMMTranspose1xWKernel',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml',1,'arm_compute']]],
   ['clgenerateproposalslayer',['CLGenerateProposalsLayer',['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml',1,'arm_compute']]],
@@ -226,6 +244,8 @@
   ['clpyramid',['CLPyramid',['../classarm__compute_1_1_c_l_pyramid.xhtml',1,'arm_compute']]],
   ['clquantizationlayer',['CLQuantizationLayer',['../classarm__compute_1_1_c_l_quantization_layer.xhtml',1,'arm_compute']]],
   ['clquantizationlayerkernel',['CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clrange',['CLRange',['../classarm__compute_1_1_c_l_range.xhtml',1,'arm_compute']]],
+  ['clrangekernel',['CLRangeKernel',['../classarm__compute_1_1_c_l_range_kernel.xhtml',1,'arm_compute']]],
   ['clreducemean',['CLReduceMean',['../classarm__compute_1_1_c_l_reduce_mean.xhtml',1,'arm_compute']]],
   ['clreductionoperation',['CLReductionOperation',['../classarm__compute_1_1_c_l_reduction_operation.xhtml',1,'arm_compute']]],
   ['clreductionoperationkernel',['CLReductionOperationKernel',['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml',1,'arm_compute']]],
@@ -235,16 +255,22 @@
   ['clreorglayerkernel',['CLReorgLayerKernel',['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml',1,'arm_compute']]],
   ['clreshapelayer',['CLReshapeLayer',['../classarm__compute_1_1_c_l_reshape_layer.xhtml',1,'arm_compute']]],
   ['clreshapelayerkernel',['CLReshapeLayerKernel',['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clreverse',['CLReverse',['../classarm__compute_1_1_c_l_reverse.xhtml',1,'arm_compute']]],
+  ['clreversekernel',['CLReverseKernel',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml',1,'arm_compute']]],
   ['clrnnlayer',['CLRNNLayer',['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml',1,'arm_compute']]],
   ['clroialignlayer',['CLROIAlignLayer',['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml',1,'arm_compute']]],
   ['clroialignlayerkernel',['CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml',1,'arm_compute']]],
   ['clroipoolinglayer',['CLROIPoolingLayer',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml',1,'arm_compute']]],
   ['clroipoolinglayerkernel',['CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml',1,'arm_compute']]],
+  ['clrsqrtlayer',['CLRsqrtLayer',['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml',1,'arm_compute']]],
+  ['clsaturatedarithmeticoperationkernel',['CLSaturatedArithmeticOperationKernel',['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['clscale',['CLScale',['../classarm__compute_1_1_c_l_scale.xhtml',1,'arm_compute']]],
   ['clscalekernel',['CLScaleKernel',['../classarm__compute_1_1_c_l_scale_kernel.xhtml',1,'arm_compute']]],
   ['clscharr3x3',['CLScharr3x3',['../classarm__compute_1_1_c_l_scharr3x3.xhtml',1,'arm_compute']]],
   ['clscharr3x3kernel',['CLScharr3x3Kernel',['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml',1,'arm_compute']]],
   ['clscheduler',['CLScheduler',['../classarm__compute_1_1_c_l_scheduler.xhtml',1,'arm_compute']]],
+  ['clselect',['CLSelect',['../classarm__compute_1_1_c_l_select.xhtml',1,'arm_compute']]],
+  ['clselectkernel',['CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml',1,'arm_compute']]],
   ['clseparableconvolutionhorkernel',['CLSeparableConvolutionHorKernel',['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml',1,'arm_compute']]],
   ['clseparableconvolutionvertkernel',['CLSeparableConvolutionVertKernel',['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml',1,'arm_compute']]],
   ['clslice',['CLSlice',['../classarm__compute_1_1_c_l_slice.xhtml',1,'arm_compute']]],
@@ -260,12 +286,15 @@
   ['clspacetobatchlayer',['CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml',1,'arm_compute']]],
   ['clspacetobatchlayerkernel',['CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml',1,'arm_compute']]],
   ['clsplit',['CLSplit',['../classarm__compute_1_1_c_l_split.xhtml',1,'arm_compute']]],
+  ['clstacklayer',['CLStackLayer',['../classarm__compute_1_1_c_l_stack_layer.xhtml',1,'arm_compute']]],
+  ['clstacklayerkernel',['CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml',1,'arm_compute']]],
   ['clstridedslice',['CLStridedSlice',['../classarm__compute_1_1_c_l_strided_slice.xhtml',1,'arm_compute']]],
   ['clstridedslicekernel',['CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml',1,'arm_compute']]],
   ['clsubtensor',['CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml',1,'arm_compute']]],
   ['clsubtensorhandle',['CLSubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml',1,'arm_compute::graph::backends']]],
   ['clsymbols',['CLSymbols',['../classarm__compute_1_1_c_l_symbols.xhtml',1,'arm_compute']]],
   ['clsynthetizefunction',['CLSynthetizeFunction',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+  ['clsynthetizefunctioninitoutputwithzeroandwithzeroconstantborder',['CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
   ['clsynthetizefunctionwithzeroconstantborder',['CLSynthetizeFunctionWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
   ['cltablelookup',['CLTableLookup',['../classarm__compute_1_1_c_l_table_lookup.xhtml',1,'arm_compute']]],
   ['cltablelookupkernel',['CLTableLookupKernel',['../classarm__compute_1_1_c_l_table_lookup_kernel.xhtml',1,'arm_compute']]],
@@ -274,9 +303,12 @@
   ['cltensorhandle',['CLTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml',1,'arm_compute::graph::backends']]],
   ['clthreshold',['CLThreshold',['../classarm__compute_1_1_c_l_threshold.xhtml',1,'arm_compute']]],
   ['clthresholdkernel',['CLThresholdKernel',['../classarm__compute_1_1_c_l_threshold_kernel.xhtml',1,'arm_compute']]],
+  ['cltile',['CLTile',['../classarm__compute_1_1_c_l_tile.xhtml',1,'arm_compute']]],
+  ['cltilekernel',['CLTileKernel',['../classarm__compute_1_1_c_l_tile_kernel.xhtml',1,'arm_compute']]],
   ['cltranspose',['CLTranspose',['../classarm__compute_1_1_c_l_transpose.xhtml',1,'arm_compute']]],
   ['cltransposekernel',['CLTransposeKernel',['../classarm__compute_1_1_c_l_transpose_kernel.xhtml',1,'arm_compute']]],
   ['cltuner',['CLTuner',['../classarm__compute_1_1_c_l_tuner.xhtml',1,'arm_compute']]],
+  ['clunstack',['CLUnstack',['../classarm__compute_1_1_c_l_unstack.xhtml',1,'arm_compute']]],
   ['clupsamplelayer',['CLUpsampleLayer',['../classarm__compute_1_1_c_l_upsample_layer.xhtml',1,'arm_compute']]],
   ['clupsamplelayerkernel',['CLUpsampleLayerKernel',['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml',1,'arm_compute']]],
   ['clwarpaffine',['CLWarpAffine',['../classarm__compute_1_1_c_l_warp_affine.xhtml',1,'arm_compute']]],
@@ -321,12 +353,16 @@
   ['cppboxwithnonmaximasuppressionlimit',['CPPBoxWithNonMaximaSuppressionLimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml',1,'arm_compute']]],
   ['cppboxwithnonmaximasuppressionlimitkernel',['CPPBoxWithNonMaximaSuppressionLimitKernel',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml',1,'arm_compute']]],
   ['cppcornercandidateskernel',['CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml',1,'arm_compute']]],
+  ['cppdetectionoutputlayer',['CPPDetectionOutputLayer',['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml',1,'arm_compute']]],
   ['cppdetectionwindownonmaximasuppressionkernel',['CPPDetectionWindowNonMaximaSuppressionKernel',['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml',1,'arm_compute']]],
   ['cppflipweightskernel',['CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml',1,'arm_compute']]],
+  ['cppnonmaximumsuppression',['CPPNonMaximumSuppression',['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml',1,'arm_compute']]],
   ['cpppermute',['CPPPermute',['../classarm__compute_1_1_c_p_p_permute.xhtml',1,'arm_compute']]],
   ['cpppermutekernel',['CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml',1,'arm_compute']]],
   ['cppscheduler',['CPPScheduler',['../classarm__compute_1_1_c_p_p_scheduler.xhtml',1,'arm_compute']]],
   ['cppsorteuclideandistancekernel',['CPPSortEuclideanDistanceKernel',['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml',1,'arm_compute']]],
+  ['cpptopkv',['CPPTopKV',['../classarm__compute_1_1_c_p_p_top_k_v.xhtml',1,'arm_compute']]],
+  ['cpptopkvkernel',['CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml',1,'arm_compute']]],
   ['cppupsample',['CPPUpsample',['../classarm__compute_1_1_c_p_p_upsample.xhtml',1,'arm_compute']]],
   ['cppupsamplekernel',['CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml',1,'arm_compute']]],
   ['cpuinfo',['CPUInfo',['../classarm__compute_1_1_c_p_u_info.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_4.html b/documentation/search/classes_4.html
index b3f11bc..86dd438 100644
--- a/documentation/search/classes_4.html
+++ b/documentation/search/classes_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_4.js b/documentation/search/classes_4.js
index 621b125..bd83410 100644
--- a/documentation/search/classes_4.js
+++ b/documentation/search/classes_4.js
@@ -26,6 +26,11 @@
   ['depthconcatsubtensormutator',['DepthConcatSubTensorMutator',['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml',1,'arm_compute::graph']]],
   ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml',1,'arm_compute::graph']]],
+  ['depthwiseconvolutionreshapeinfo',['DepthwiseConvolutionReshapeInfo',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml',1,'arm_compute']]],
+  ['detectionoutputaccessor',['DetectionOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['detectionoutputlayer',['DetectionOutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['detectionoutputlayerinfo',['DetectionOutputLayerInfo',['../classarm__compute_1_1_detection_output_layer_info.xhtml',1,'arm_compute']]],
+  ['detectionoutputlayernode',['DetectionOutputLayerNode',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml',1,'arm_compute::graph']]],
   ['detectionwindow',['DetectionWindow',['../structarm__compute_1_1_detection_window.xhtml',1,'DetectionWindow'],['../struct_detection_window.xhtml',1,'DetectionWindow']]],
   ['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml',1,'arm_compute::Window']]],
   ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_5.html b/documentation/search/classes_5.html
index 952ace6..7aaef4d 100644
--- a/documentation/search/classes_5.html
+++ b/documentation/search/classes_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_6.html b/documentation/search/classes_6.html
index 75eef9f..aad7834 100644
--- a/documentation/search/classes_6.html
+++ b/documentation/search/classes_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_7.html b/documentation/search/classes_7.html
index 745f5f2..794e394 100644
--- a/documentation/search/classes_7.html
+++ b/documentation/search/classes_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index be76c77..2278e3e 100644
--- a/documentation/search/classes_7.js
+++ b/documentation/search/classes_7.js
@@ -65,14 +65,15 @@
   ['gctranspose',['GCTranspose',['../classarm__compute_1_1_g_c_transpose.xhtml',1,'arm_compute']]],
   ['gctransposekernel',['GCTransposeKernel',['../classarm__compute_1_1_g_c_transpose_kernel.xhtml',1,'arm_compute']]],
   ['gcweightsreshapekernel',['GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml',1,'arm_compute']]],
-  ['gemmimpl_5fgemv_5fbatched',['GemmImpl_gemv_batched',['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml',1,'arm_gemm']]],
-  ['gemmimplementation',['GemmImplementation',['../classarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
-  ['gemmimplementation_3c_20float_2c_20float_20_3e',['GemmImplementation&lt; float, float &gt;',['../classarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
+  ['gemmhybrid',['GemmHybrid',['../classarm__gemm_1_1_gemm_hybrid.xhtml',1,'arm_gemm']]],
+  ['gemmimplementation',['GemmImplementation',['../structarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
   ['gemminfo',['GEMMInfo',['../classarm__compute_1_1_g_e_m_m_info.xhtml',1,'arm_compute']]],
   ['gemminterleaved',['GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml',1,'arm_gemm']]],
+  ['gemmlhsmatrixinfo',['GEMMLHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml',1,'arm_compute']]],
   ['gemmlowpoutputstageinfo',['GEMMLowpOutputStageInfo',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml',1,'arm_compute']]],
   ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml',1,'arm_gemm']]],
   ['gemmreshapeinfo',['GEMMReshapeInfo',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml',1,'arm_compute']]],
+  ['gemmrhsmatrixinfo',['GEMMRHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml',1,'arm_compute']]],
   ['gemvbatched',['GemvBatched',['../classarm__gemm_1_1_gemv_batched.xhtml',1,'arm_gemm']]],
   ['gemvnativetransposed',['GemvNativeTransposed',['../classarm__gemm_1_1_gemv_native_transposed.xhtml',1,'arm_gemm']]],
   ['gemvpretransposed',['GemvPretransposed',['../classarm__gemm_1_1_gemv_pretransposed.xhtml',1,'arm_gemm']]],
diff --git a/documentation/search/classes_8.html b/documentation/search/classes_8.html
index 5a443d9..1ba60c9 100644
--- a/documentation/search/classes_8.html
+++ b/documentation/search/classes_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_9.html b/documentation/search/classes_9.html
index 9cb55be..565e7d7 100644
--- a/documentation/search/classes_9.html
+++ b/documentation/search/classes_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_9.js b/documentation/search/classes_9.js
index a319774..fd58232 100644
--- a/documentation/search/classes_9.js
+++ b/documentation/search/classes_9.js
@@ -6,10 +6,12 @@
   ['iarray',['IArray',['../classarm__compute_1_1_i_array.xhtml',1,'arm_compute']]],
   ['iarray_3c_20nelkinternalkeypoint_20_3e',['IArray&lt; NELKInternalKeypoint &gt;',['../classarm__compute_1_1_i_array.xhtml',1,'arm_compute']]],
   ['iarrayaccessor',['IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml',1,'arm_compute::test']]],
+  ['ibuffermanager',['IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml',1,'arm_compute']]],
   ['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
   ['icldepthwiseconvolutionlayer3x3kernel',['ICLDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
   ['icldistribution1d',['ICLDistribution1D',['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml',1,'arm_compute']]],
   ['iclgemmlowpreductionkernel',['ICLGEMMLowpReductionKernel',['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml',1,'arm_compute']]],
+  ['iclgemmreshapedconfiguration',['ICLGEMMReshapedConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml',1,'arm_compute']]],
   ['iclhog',['ICLHOG',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml',1,'arm_compute']]],
   ['iclkernel',['ICLKernel',['../classarm__compute_1_1_i_c_l_kernel.xhtml',1,'arm_compute']]],
   ['icllut',['ICLLut',['../classarm__compute_1_1_i_c_l_lut.xhtml',1,'arm_compute']]],
@@ -67,6 +69,7 @@
   ['inegemmlowpreductionkernel',['INEGEMMLowpReductionKernel',['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml',1,'arm_compute']]],
   ['ineharrisscorekernel',['INEHarrisScoreKernel',['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml',1,'arm_compute']]],
   ['inesimplefunction',['INESimpleFunction',['../classarm__compute_1_1_i_n_e_simple_function.xhtml',1,'arm_compute']]],
+  ['inesimplefunctionnoborder',['INESimpleFunctionNoBorder',['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml',1,'arm_compute']]],
   ['inewarpkernel',['INEWarpKernel',['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml',1,'arm_compute']]],
   ['inewinogradlayertransforminputkernel',['INEWinogradLayerTransformInputKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml',1,'arm_compute']]],
   ['inewinogradlayertransformoutputkernel',['INEWinogradLayerTransformOutputKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml',1,'arm_compute']]],
@@ -91,8 +94,8 @@
   ['is_5fcontained_3c_20t_2c_20std_3a_3atuple_3c_3e_20_3e',['is_contained&lt; T, std::tuple&lt;&gt; &gt;',['../structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_4_01_4.xhtml',1,'arm_compute::traits']]],
   ['is_5fcontainer',['is_container',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1is__container.xhtml',1,'arm_compute::test::framework::dataset']]],
   ['is_5fcontainer_3c_20std_3a_3avector_3c_20v_2c_20a_20_3e_20_3e',['is_container&lt; std::vector&lt; V, A &gt; &gt;',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1is__container_3_01std_1_1vector_3_01_v_00_01_a_01_4_01_4.xhtml',1,'arm_compute::test::framework::dataset']]],
-  ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml',1,'arm_compute::test::validation']]],
-  ['is_5ffloating_5fpoint_3c_20half_20_3e',['is_floating_point&lt; half &gt;',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml',1,'arm_compute::test::validation']]],
+  ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml',1,'is_floating_point&lt; T &gt;'],['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point.xhtml',1,'is_floating_point&lt; T &gt;']]],
+  ['is_5ffloating_5fpoint_3c_20half_20_3e',['is_floating_point&lt; half &gt;',['../structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point&lt; half &gt;'],['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point&lt; half &gt;']]],
   ['ischeduler',['IScheduler',['../classarm__compute_1_1_i_scheduler.xhtml',1,'arm_compute']]],
   ['isimplelifetimemanager',['ISimpleLifetimeManager',['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml',1,'arm_compute']]],
   ['istream',['IStream',['../classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml',1,'arm_compute::graph::frontend']]],
@@ -101,5 +104,5 @@
   ['itensorallocator',['ITensorAllocator',['../classarm__compute_1_1_i_tensor_allocator.xhtml',1,'arm_compute']]],
   ['itensorhandle',['ITensorHandle',['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml',1,'arm_compute::graph']]],
   ['itensorinfo',['ITensorInfo',['../classarm__compute_1_1_i_tensor_info.xhtml',1,'arm_compute']]],
-  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset&lt; T, U &gt;::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset&lt; T, U &gt;::iterator']]]
+  ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset&lt; T, U &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset&lt; T &gt;::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset&lt; T &gt;::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]]
 ];
diff --git a/documentation/search/classes_a.html b/documentation/search/classes_a.html
index 54940d7..ca7479a 100644
--- a/documentation/search/classes_a.html
+++ b/documentation/search/classes_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_b.html b/documentation/search/classes_b.html
index 6071ae0..ef84802 100644
--- a/documentation/search/classes_b.html
+++ b/documentation/search/classes_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_b.js b/documentation/search/classes_b.js
index 199cc39..d9b9442 100644
--- a/documentation/search/classes_b.js
+++ b/documentation/search/classes_b.js
@@ -2,5 +2,5 @@
 [
   ['kernel',['Kernel',['../classarm__compute_1_1_kernel.xhtml',1,'arm_compute']]],
   ['kernel_5finfo',['kernel_info',['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml',1,'arm_compute::test::framework::SchedulerClock']]],
-  ['keypoint',['KeyPoint',['../structarm__compute_1_1_key_point.xhtml',1,'KeyPoint'],['../struct_keypoint.xhtml',1,'Keypoint']]]
+  ['keypoint',['Keypoint',['../struct_keypoint.xhtml',1,'Keypoint'],['../structarm__compute_1_1_key_point.xhtml',1,'KeyPoint']]]
 ];
diff --git a/documentation/search/classes_c.html b/documentation/search/classes_c.html
index 6cf1d00..052ea3c 100644
--- a/documentation/search/classes_c.html
+++ b/documentation/search/classes_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_d.html b/documentation/search/classes_d.html
index d4a7ed7..de68b5a 100644
--- a/documentation/search/classes_d.html
+++ b/documentation/search/classes_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_e.html b/documentation/search/classes_e.html
index 9a9f48c..4ba8b82 100644
--- a/documentation/search/classes_e.html
+++ b/documentation/search/classes_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/classes_e.js b/documentation/search/classes_e.js
index 3e99f6e..d091a9e 100644
--- a/documentation/search/classes_e.js
+++ b/documentation/search/classes_e.js
@@ -1,7 +1,8 @@
 var searchData=
 [
   ['nameddataset',['NamedDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
-  ['ndrange',['NDRange',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml',1,'arm_compute::gles']]],
+  ['ndrange',['NDRange',['../classarm__gemm_1_1_n_d_range.xhtml',1,'NDRange&lt; D &gt;'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml',1,'NDRange']]],
+  ['ndrange_3c_204_20_3e',['NDRange&lt; 4 &gt;',['../classarm__gemm_1_1_n_d_range.xhtml',1,'arm_gemm']]],
   ['neabsolutedifference',['NEAbsoluteDifference',['../classarm__compute_1_1_n_e_absolute_difference.xhtml',1,'arm_compute']]],
   ['neabsolutedifferencekernel',['NEAbsoluteDifferenceKernel',['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml',1,'arm_compute']]],
   ['neaccumulate',['NEAccumulate',['../classarm__compute_1_1_n_e_accumulate.xhtml',1,'arm_compute']]],
@@ -12,8 +13,10 @@
   ['neaccumulateweightedkernel',['NEAccumulateWeightedKernel',['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml',1,'arm_compute']]],
   ['neactivationlayer',['NEActivationLayer',['../classarm__compute_1_1_n_e_activation_layer.xhtml',1,'arm_compute']]],
   ['neactivationlayerkernel',['NEActivationLayerKernel',['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml',1,'arm_compute']]],
+  ['neargminmaxlayer',['NEArgMinMaxLayer',['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml',1,'arm_compute']]],
   ['nearithmeticaddition',['NEArithmeticAddition',['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml',1,'arm_compute']]],
   ['nearithmeticadditionkernel',['NEArithmeticAdditionKernel',['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml',1,'arm_compute']]],
+  ['nearithmeticoperationkernel',['NEArithmeticOperationKernel',['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
   ['nearithmeticsubtraction',['NEArithmeticSubtraction',['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml',1,'arm_compute']]],
   ['nearithmeticsubtractionkernel',['NEArithmeticSubtractionKernel',['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml',1,'arm_compute']]],
   ['nebatchnormalizationlayer',['NEBatchNormalizationLayer',['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml',1,'arm_compute']]],
@@ -39,6 +42,7 @@
   ['necol2imkernel',['NECol2ImKernel',['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml',1,'arm_compute']]],
   ['necolorconvert',['NEColorConvert',['../classarm__compute_1_1_n_e_color_convert.xhtml',1,'arm_compute']]],
   ['necolorconvertkernel',['NEColorConvertKernel',['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml',1,'arm_compute']]],
+  ['necomparisonoperationkernel',['NEComparisonOperationKernel',['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml',1,'arm_compute']]],
   ['neconcatenatelayer',['NEConcatenateLayer',['../classarm__compute_1_1_n_e_concatenate_layer.xhtml',1,'arm_compute']]],
   ['neconvertfullyconnectedweights',['NEConvertFullyConnectedWeights',['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml',1,'arm_compute']]],
   ['neconvertfullyconnectedweightskernel',['NEConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml',1,'arm_compute']]],
@@ -74,11 +78,21 @@
   ['nedirectconvolutionlayer',['NEDirectConvolutionLayer',['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml',1,'arm_compute']]],
   ['nedirectconvolutionlayerkernel',['NEDirectConvolutionLayerKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml',1,'arm_compute']]],
   ['nedirectconvolutionlayeroutputstagekernel',['NEDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml',1,'arm_compute']]],
+  ['nedivisionoperationkernel',['NEDivisionOperationKernel',['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml',1,'arm_compute']]],
   ['needgenonmaxsuppressionkernel',['NEEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml',1,'arm_compute']]],
   ['needgetracekernel',['NEEdgeTraceKernel',['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml',1,'arm_compute']]],
+  ['neelementwisecomparison',['NEElementwiseComparison',['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml',1,'arm_compute']]],
+  ['neelementwisecomparisonstatic',['NEElementwiseComparisonStatic',['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml',1,'arm_compute']]],
+  ['neelementwisedivision',['NEElementwiseDivision',['../classarm__compute_1_1_n_e_elementwise_division.xhtml',1,'arm_compute']]],
+  ['neelementwisemax',['NEElementwiseMax',['../classarm__compute_1_1_n_e_elementwise_max.xhtml',1,'arm_compute']]],
+  ['neelementwisemin',['NEElementwiseMin',['../classarm__compute_1_1_n_e_elementwise_min.xhtml',1,'arm_compute']]],
+  ['neelementwiseoperationkernel',['NEElementwiseOperationKernel',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml',1,'arm_compute']]],
+  ['neelementwisesquareddiff',['NEElementwiseSquaredDiff',['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml',1,'arm_compute']]],
+  ['neelementwiseunarykernel',['NEElementwiseUnaryKernel',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml',1,'arm_compute']]],
   ['neequalizehistogram',['NEEqualizeHistogram',['../classarm__compute_1_1_n_e_equalize_histogram.xhtml',1,'arm_compute']]],
   ['neerode',['NEErode',['../classarm__compute_1_1_n_e_erode.xhtml',1,'arm_compute']]],
   ['neerodekernel',['NEErodeKernel',['../classarm__compute_1_1_n_e_erode_kernel.xhtml',1,'arm_compute']]],
+  ['neexplayer',['NEExpLayer',['../classarm__compute_1_1_n_e_exp_layer.xhtml',1,'arm_compute']]],
   ['nefastcorners',['NEFastCorners',['../classarm__compute_1_1_n_e_fast_corners.xhtml',1,'arm_compute']]],
   ['nefastcornerskernel',['NEFastCornersKernel',['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml',1,'arm_compute']]],
   ['nefillarraykernel',['NEFillArrayKernel',['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml',1,'arm_compute']]],
@@ -92,6 +106,10 @@
   ['nefullyconnectedlayer',['NEFullyConnectedLayer',['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml',1,'arm_compute']]],
   ['nefullyconnectedlayerreshapeweights',['NEFullyConnectedLayerReshapeWeights',['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml',1,'arm_compute']]],
   ['nefunctionfactory',['NEFunctionFactory',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml',1,'arm_compute::graph::backends']]],
+  ['nefusebatchnormalization',['NEFuseBatchNormalization',['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml',1,'arm_compute']]],
+  ['nefusebatchnormalizationkernel',['NEFuseBatchNormalizationKernel',['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml',1,'arm_compute']]],
+  ['negather',['NEGather',['../classarm__compute_1_1_n_e_gather.xhtml',1,'arm_compute']]],
+  ['negatherkernel',['NEGatherKernel',['../classarm__compute_1_1_n_e_gather_kernel.xhtml',1,'arm_compute']]],
   ['negaussian3x3',['NEGaussian3x3',['../classarm__compute_1_1_n_e_gaussian3x3.xhtml',1,'arm_compute']]],
   ['negaussian3x3kernel',['NEGaussian3x3Kernel',['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml',1,'arm_compute']]],
   ['negaussian5x5',['NEGaussian5x5',['../classarm__compute_1_1_n_e_gaussian5x5.xhtml',1,'arm_compute']]],
@@ -158,6 +176,7 @@
   ['nemeanstddevkernel',['NEMeanStdDevKernel',['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml',1,'arm_compute']]],
   ['nemedian3x3',['NEMedian3x3',['../classarm__compute_1_1_n_e_median3x3.xhtml',1,'arm_compute']]],
   ['nemedian3x3kernel',['NEMedian3x3Kernel',['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml',1,'arm_compute']]],
+  ['nememsetkernel',['NEMemsetKernel',['../classarm__compute_1_1_n_e_memset_kernel.xhtml',1,'arm_compute']]],
   ['neminmaxkernel',['NEMinMaxKernel',['../classarm__compute_1_1_n_e_min_max_kernel.xhtml',1,'arm_compute']]],
   ['neminmaxlayerkernel',['NEMinMaxLayerKernel',['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml',1,'arm_compute']]],
   ['neminmaxlocation',['NEMinMaxLocation',['../classarm__compute_1_1_n_e_min_max_location.xhtml',1,'arm_compute']]],
@@ -169,8 +188,10 @@
   ['nenonmaximasuppression3x3kernel',['NENonMaximaSuppression3x3Kernel',['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml',1,'arm_compute']]],
   ['nenormalizationlayer',['NENormalizationLayer',['../classarm__compute_1_1_n_e_normalization_layer.xhtml',1,'arm_compute']]],
   ['nenormalizationlayerkernel',['NENormalizationLayerKernel',['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml',1,'arm_compute']]],
+  ['neon_5fbitvector',['neon_bitvector',['../structarm__compute_1_1wrapper_1_1traits_1_1neon__bitvector.xhtml',1,'arm_compute::wrapper::traits']]],
   ['neon_5fvector',['neon_vector',['../structarm__compute_1_1wrapper_1_1traits_1_1neon__vector.xhtml',1,'arm_compute::wrapper::traits']]],
   ['neopticalflow',['NEOpticalFlow',['../classarm__compute_1_1_n_e_optical_flow.xhtml',1,'arm_compute']]],
+  ['nepadlayer',['NEPadLayer',['../classarm__compute_1_1_n_e_pad_layer.xhtml',1,'arm_compute']]],
   ['nepermute',['NEPermute',['../classarm__compute_1_1_n_e_permute.xhtml',1,'arm_compute']]],
   ['nepermutekernel',['NEPermuteKernel',['../classarm__compute_1_1_n_e_permute_kernel.xhtml',1,'arm_compute']]],
   ['nephase',['NEPhase',['../classarm__compute_1_1_n_e_phase.xhtml',1,'arm_compute']]],
@@ -182,6 +203,8 @@
   ['nepriorboxlayerkernel',['NEPriorBoxLayerKernel',['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml',1,'arm_compute']]],
   ['nequantizationlayer',['NEQuantizationLayer',['../classarm__compute_1_1_n_e_quantization_layer.xhtml',1,'arm_compute']]],
   ['nequantizationlayerkernel',['NEQuantizationLayerKernel',['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nerange',['NERange',['../classarm__compute_1_1_n_e_range.xhtml',1,'arm_compute']]],
+  ['nerangekernel',['NERangeKernel',['../classarm__compute_1_1_n_e_range_kernel.xhtml',1,'arm_compute']]],
   ['nereducemean',['NEReduceMean',['../classarm__compute_1_1_n_e_reduce_mean.xhtml',1,'arm_compute']]],
   ['nereductionoperation',['NEReductionOperation',['../classarm__compute_1_1_n_e_reduction_operation.xhtml',1,'arm_compute']]],
   ['nereductionoperationkernel',['NEReductionOperationKernel',['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml',1,'arm_compute']]],
@@ -191,16 +214,22 @@
   ['nereorglayerkernel',['NEReorgLayerKernel',['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml',1,'arm_compute']]],
   ['nereshapelayer',['NEReshapeLayer',['../classarm__compute_1_1_n_e_reshape_layer.xhtml',1,'arm_compute']]],
   ['nereshapelayerkernel',['NEReshapeLayerKernel',['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nereverse',['NEReverse',['../classarm__compute_1_1_n_e_reverse.xhtml',1,'arm_compute']]],
+  ['nereversekernel',['NEReverseKernel',['../classarm__compute_1_1_n_e_reverse_kernel.xhtml',1,'arm_compute']]],
   ['nernnlayer',['NERNNLayer',['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml',1,'arm_compute']]],
   ['neroipoolinglayer',['NEROIPoolingLayer',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml',1,'arm_compute']]],
   ['neroipoolinglayerkernel',['NEROIPoolingLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nersqrtlayer',['NERsqrtLayer',['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml',1,'arm_compute']]],
   ['nescale',['NEScale',['../classarm__compute_1_1_n_e_scale.xhtml',1,'arm_compute']]],
   ['nescalekernel',['NEScaleKernel',['../classarm__compute_1_1_n_e_scale_kernel.xhtml',1,'arm_compute']]],
   ['nescharr3x3',['NEScharr3x3',['../classarm__compute_1_1_n_e_scharr3x3.xhtml',1,'arm_compute']]],
   ['nescharr3x3kernel',['NEScharr3x3Kernel',['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml',1,'arm_compute']]],
+  ['neselect',['NESelect',['../classarm__compute_1_1_n_e_select.xhtml',1,'arm_compute']]],
+  ['neselectkernel',['NESelectKernel',['../classarm__compute_1_1_n_e_select_kernel.xhtml',1,'arm_compute']]],
   ['neseparableconvolutionhorkernel',['NESeparableConvolutionHorKernel',['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml',1,'arm_compute']]],
   ['neseparableconvolutionvertkernel',['NESeparableConvolutionVertKernel',['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml',1,'arm_compute']]],
   ['nesimpleassemblyfunction',['NESimpleAssemblyFunction',['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml',1,'arm_compute']]],
+  ['neslice',['NESlice',['../classarm__compute_1_1_n_e_slice.xhtml',1,'arm_compute']]],
   ['nesobel3x3',['NESobel3x3',['../classarm__compute_1_1_n_e_sobel3x3.xhtml',1,'arm_compute']]],
   ['nesobel3x3kernel',['NESobel3x3Kernel',['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml',1,'arm_compute']]],
   ['nesobel5x5',['NESobel5x5',['../classarm__compute_1_1_n_e_sobel5x5.xhtml',1,'arm_compute']]],
@@ -210,6 +239,11 @@
   ['nesobel7x7horkernel',['NESobel7x7HorKernel',['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml',1,'arm_compute']]],
   ['nesobel7x7vertkernel',['NESobel7x7VertKernel',['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml',1,'arm_compute']]],
   ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml',1,'arm_compute']]],
+  ['nesplit',['NESplit',['../classarm__compute_1_1_n_e_split.xhtml',1,'arm_compute']]],
+  ['nestacklayer',['NEStackLayer',['../classarm__compute_1_1_n_e_stack_layer.xhtml',1,'arm_compute']]],
+  ['nestacklayerkernel',['NEStackLayerKernel',['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml',1,'arm_compute']]],
+  ['nestridedslice',['NEStridedSlice',['../classarm__compute_1_1_n_e_strided_slice.xhtml',1,'arm_compute']]],
+  ['nestridedslicekernel',['NEStridedSliceKernel',['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml',1,'arm_compute']]],
   ['nesubtensorhandle',['NESubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml',1,'arm_compute::graph::backends']]],
   ['nesynthetizefunction',['NESynthetizeFunction',['../classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml',1,'arm_compute::test']]],
   ['nesynthetizefunctionwithzeroconstantborder',['NESynthetizeFunctionWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
@@ -218,8 +252,11 @@
   ['netensorhandle',['NETensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml',1,'arm_compute::graph::backends']]],
   ['nethreshold',['NEThreshold',['../classarm__compute_1_1_n_e_threshold.xhtml',1,'arm_compute']]],
   ['nethresholdkernel',['NEThresholdKernel',['../classarm__compute_1_1_n_e_threshold_kernel.xhtml',1,'arm_compute']]],
+  ['netile',['NETile',['../classarm__compute_1_1_n_e_tile.xhtml',1,'arm_compute']]],
+  ['netilekernel',['NETileKernel',['../classarm__compute_1_1_n_e_tile_kernel.xhtml',1,'arm_compute']]],
   ['netranspose',['NETranspose',['../classarm__compute_1_1_n_e_transpose.xhtml',1,'arm_compute']]],
   ['netransposekernel',['NETransposeKernel',['../classarm__compute_1_1_n_e_transpose_kernel.xhtml',1,'arm_compute']]],
+  ['neunstack',['NEUnstack',['../classarm__compute_1_1_n_e_unstack.xhtml',1,'arm_compute']]],
   ['neupsamplelayer',['NEUpsampleLayer',['../classarm__compute_1_1_n_e_upsample_layer.xhtml',1,'arm_compute']]],
   ['neupsamplelayerkernel',['NEUpsampleLayerKernel',['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml',1,'arm_compute']]],
   ['newarpaffine',['NEWarpAffine',['../classarm__compute_1_1_n_e_warp_affine.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_f.html b/documentation/search/classes_f.html
index a128d60..e850497 100644
--- a/documentation/search/classes_f.html
+++ b/documentation/search/classes_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="classes_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_0.html b/documentation/search/defines_0.html
index 5b25204..dbe0642 100644
--- a/documentation/search/defines_0.html
+++ b/documentation/search/defines_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_1.html b/documentation/search/defines_1.html
index 91488cb..7af9324 100644
--- a/documentation/search/defines_1.html
+++ b/documentation/search/defines_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_1.js b/documentation/search/defines_1.js
index b97abc4..19214c4 100644
--- a/documentation/search/defines_1.js
+++ b/documentation/search/defines_1.js
@@ -1,9 +1,10 @@
 var searchData=
 [
   ['accum_5fprocess_5f4x',['ACCUM_PROCESS_4X',['../_g_c_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.xhtml#a1662de6128d240b3112d483269a38c12',1,'GCGEMMMatrixAccumulateBiasesKernel.cpp']]],
+  ['activation_5ffunc',['ACTIVATION_FUNC',['../winograd__output__transform_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9',1,'winograd_output_transform.cl']]],
   ['activation_5fop',['ACTIVATION_OP',['../activation__layer__qa8_8cl.xhtml#a5a310089a4e6b6de57a075a9bd4ced82',1,'activation_layer_qa8.cl']]],
   ['activation_5fop2',['ACTIVATION_OP2',['../activation__layer__qa8_8cl.xhtml#ab13ec269b92f52bb2f1f6dcf12956704',1,'activation_layer_qa8.cl']]],
-  ['add',['ADD',['../arithmetic__op_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;arithmetic_op.cl'],['../arithmetic__op__quantized_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;arithmetic_op_quantized.cl']]],
+  ['add',['ADD',['../elementwise__operation_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#af3b709fb668cf93ca09e2a46a2a031a8',1,'ADD():&#160;elementwise_operation_quantized.cl']]],
   ['add_5fop',['ADD_OP',['../batchnormalization__layer_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39',1,'ADD_OP():&#160;batchnormalization_layer.cl'],['../direct__convolution1x1_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39',1,'ADD_OP():&#160;direct_convolution1x1.cl'],['../direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39',1,'ADD_OP():&#160;direct_convolution3x3.cl'],['../normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504',1,'ADD_OP():&#160;normalization_layer.cl'],['../softmax__layer_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88',1,'ADD_OP():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#a44206a4e5783c7aabacec88aad878c88',1,'ADD_OP():&#160;softmax_layer_quantized.cl']]],
   ['alloc_5fround',['ALLOC_ROUND',['../gemm__interleaved_8hpp.xhtml#abd1ded15e3688096ead983e87f83fbd1',1,'gemm_interleaved.hpp']]],
   ['arm_5fcompute_5fassert',['ARM_COMPUTE_ASSERT',['../_asserts_8h.xhtml#a83bf33add9b97f6897b7b3db2766dd27',1,'Asserts.h']]],
@@ -103,6 +104,7 @@
   ['arm_5fcompute_5freturn_5fon_5ferror',['ARM_COMPUTE_RETURN_ON_ERROR',['../_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4',1,'Error.h']]],
   ['arm_5fcompute_5ftest_5fcomp_5ffactory',['ARM_COMPUTE_TEST_COMP_FACTORY',['../_asserts_8h.xhtml#a9b1013d9828dd87c5ea4a43c31db18cc',1,'Asserts.h']]],
   ['arm_5fcompute_5ftest_5finfo',['ARM_COMPUTE_TEST_INFO',['../_asserts_8h.xhtml#ac498e3dc31f8819519a9497b2d5789c1',1,'Asserts.h']]],
+  ['arm_5fcompute_5fthrow',['ARM_COMPUTE_THROW',['../_error_8h.xhtml#ad5518fdae84a33ce6fbed540c6e89479',1,'Error.h']]],
   ['arm_5fcompute_5fthrow_5fon_5ferror',['ARM_COMPUTE_THROW_ON_ERROR',['../_error_8h.xhtml#a51e206ee52bcfb358919ee478d9fdc47',1,'Error.h']]],
   ['arm_5fcompute_5funused',['ARM_COMPUTE_UNUSED',['../_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6',1,'Error.h']]],
   ['asm_5fprefetch',['ASM_PREFETCH',['../asmlib_8hpp.xhtml#aaca0205a239e6ef80e4e2788837579e8',1,'asmlib.hpp']]],
@@ -120,7 +122,7 @@
   ['asymm_5fmult_5fimpl',['ASYMM_MULT_IMPL',['../helpers__asymm_8h.xhtml#ad4b199221927cbabbf859e4d2efb688d',1,'helpers_asymm.h']]],
   ['asymm_5fone_5fover_5fone_5fplus_5fx_5ffor_5fx_5fin_5f0_5f1',['ASYMM_ONE_OVER_ONE_PLUS_X_FOR_X_IN_0_1',['../helpers__asymm_8h.xhtml#ae77f34e1316d52c1ee84c35be9efb0d8',1,'helpers_asymm.h']]],
   ['asymm_5fone_5fover_5fone_5fplus_5fx_5ffor_5fx_5fin_5f0_5f1_5fimpl',['ASYMM_ONE_OVER_ONE_PLUS_X_FOR_X_IN_0_1_IMPL',['../helpers__asymm_8h.xhtml#a0e53aa5d4cbcec7a0c0085838f32453d',1,'helpers_asymm.h']]],
-  ['asymm_5frescale',['asymm_rescale',['../softmax__layer__quantized_8cl.xhtml#ad57ea340cdcfeb2e1375b70c3ae59bae',1,'asymm_rescale():&#160;softmax_layer_quantized.cl'],['../helpers__asymm_8h.xhtml#a98585f1bb84dea90aecbf59785c46151',1,'ASYMM_RESCALE():&#160;helpers_asymm.h']]],
+  ['asymm_5frescale',['ASYMM_RESCALE',['../helpers__asymm_8h.xhtml#a98585f1bb84dea90aecbf59785c46151',1,'ASYMM_RESCALE():&#160;helpers_asymm.h'],['../softmax__layer__quantized_8cl.xhtml#ad57ea340cdcfeb2e1375b70c3ae59bae',1,'asymm_rescale():&#160;softmax_layer_quantized.cl']]],
   ['asymm_5frescale_5fimpl',['ASYMM_RESCALE_IMPL',['../helpers__asymm_8h.xhtml#aace85e2a32bacdaa4e2d2055deabfc57',1,'helpers_asymm.h']]],
   ['asymm_5frounding_5fdivide_5fby_5fpow2',['ASYMM_ROUNDING_DIVIDE_BY_POW2',['../helpers__asymm_8h.xhtml#aa43fc359dea64362f3016384f4269845',1,'helpers_asymm.h']]],
   ['asymm_5frounding_5fdivide_5fby_5fpow2_5fimpl',['ASYMM_ROUNDING_DIVIDE_BY_POW2_IMPL',['../helpers__asymm_8h.xhtml#abf75e242631b23007e4046682aa57ec5',1,'helpers_asymm.h']]],
diff --git a/documentation/search/defines_10.html b/documentation/search/defines_10.html
index 702c126..60154d1 100644
--- a/documentation/search/defines_10.html
+++ b/documentation/search/defines_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_10.js b/documentation/search/defines_10.js
index 8e3d5e9..6b53826 100644
--- a/documentation/search/defines_10.js
+++ b/documentation/search/defines_10.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['scale_5fout',['SCALE_OUT',['../activation__layer__qa8_8cl.xhtml#a814d8a020b304f2ad69204ca56d76e4f',1,'activation_layer_qa8.cl']]],
   ['select_5fdata_5ftype',['SELECT_DATA_TYPE',['../softmax__layer_8cl.xhtml#af5b2e33e3c5fcaab3a213f26c2300170',1,'softmax_layer.cl']]],
   ['select_5ftype',['SELECT_TYPE',['../activation__layer_8cl.xhtml#a5c9e2fb8fe562b69a0be48600a910d77',1,'activation_layer.cl']]],
   ['sobel1x1_5fhor',['SOBEL1x1_HOR',['../sobel__filter_8cl.xhtml#ad40297671e8a51899c6114386492006b',1,'sobel_filter.cl']]],
@@ -9,9 +10,10 @@
   ['sort',['SORT',['../non__linear__filter__helpers_8h.xhtml#ac226bc1ed04fd7d4865263484ed22a47',1,'non_linear_filter_helpers.h']]],
   ['sqcvt_5fsat',['SQCVT_SAT',['../batchnormalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9',1,'SQCVT_SAT():&#160;batchnormalization_layer.cl'],['../normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9',1,'SQCVT_SAT():&#160;normalization_layer.cl']]],
   ['sqrt_5fop',['SQRT_OP',['../pooling__layer_8cl.xhtml#ac9af19bec38fe50b4b9585c0e5c0ccca',1,'pooling_layer.cl']]],
+  ['squared_5fdiff',['SQUARED_DIFF',['../elementwise__operation_8cl.xhtml#ab05bd244cb8823c69d6dce6a23a758fd',1,'SQUARED_DIFF():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#ab05bd244cb8823c69d6dce6a23a758fd',1,'SQUARED_DIFF():&#160;elementwise_operation_quantized.cl']]],
   ['stb_5fimage_5fimplementation',['STB_IMAGE_IMPLEMENTATION',['../utils_2_utils_8cpp.xhtml#a18372412ad2fc3ce1e3240b3cf0efe78',1,'Utils.cpp']]],
   ['store_5fop',['STORE_OP',['../normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1',1,'normalization_layer.cl']]],
-  ['sub',['SUB',['../arithmetic__op_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;arithmetic_op.cl'],['../arithmetic__op__quantized_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;arithmetic_op_quantized.cl']]],
+  ['sub',['SUB',['../elementwise__operation_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#aafc2c4f262a0686c07f86c7d2e1d8d14',1,'SUB():&#160;elementwise_operation_quantized.cl']]],
   ['sub_5fop',['SUB_OP',['../batchnormalization__layer_8cl.xhtml#ad778425e4131c4731f17d7e6e3499a07',1,'SUB_OP():&#160;batchnormalization_layer.cl'],['../softmax__layer_8cl.xhtml#ac3af2d18008cbbf7247ae48fcd6e0c4e',1,'SUB_OP():&#160;softmax_layer.cl']]],
   ['swap_5f4x4',['SWAP_4x4',['../transpose_8cl.xhtml#af5dc9980a3e0aae2cba22e97b9458bc9',1,'transpose.cl']]],
   ['swap_5f8x8',['SWAP_8x8',['../transpose_8cl.xhtml#a91074bda470bd8bec36799fdaffd107a',1,'transpose.cl']]],
diff --git a/documentation/search/defines_11.html b/documentation/search/defines_11.html
index 5d0c8f8..7d1b7c2 100644
--- a/documentation/search/defines_11.html
+++ b/documentation/search/defines_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_12.html b/documentation/search/defines_12.html
index d5649ef..6a66f26 100644
--- a/documentation/search/defines_12.html
+++ b/documentation/search/defines_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_13.html b/documentation/search/defines_13.html
index 34c592f..f495bd3 100644
--- a/documentation/search/defines_13.html
+++ b/documentation/search/defines_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_13.js b/documentation/search/defines_13.js
index e91235e..f08292c 100644
--- a/documentation/search/defines_13.js
+++ b/documentation/search/defines_13.js
@@ -1,11 +1,20 @@
 var searchData=
 [
-  ['vadd_5fimpl',['VADD_IMPL',['../add_8h.xhtml#a1954a7b37233eea4d3bcc3f262cb5346',1,'add.h']]],
+  ['vabs_5fimpl',['VABS_IMPL',['../abs_8h.xhtml#aee753fc71bfe4c982c42fd384738fa81',1,'abs.h']]],
+  ['vadd_5fimpl',['VADD_IMPL',['../intrinsics_2add_8h.xhtml#a1954a7b37233eea4d3bcc3f262cb5346',1,'add.h']]],
   ['validate',['VALIDATE',['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp'],['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#a8d69c709ef45fd63b622f283b0723eaf',1,'VALIDATE():&#160;PixelWiseMultiplication.cpp']]],
   ['vand_5fimpl',['VAND_IMPL',['../and_8h.xhtml#a13a01f353b67cca174ceee50dfd9c35d',1,'and.h']]],
+  ['var_5finit_5fto_5fconst_5fdef',['VAR_INIT_TO_CONST_DEF',['../repeat_8h.xhtml#a88950092f54faf75d508703c229018e5',1,'repeat.h']]],
   ['variadic_5fsize',['VARIADIC_SIZE',['../tests_2framework_2_macros_8h.xhtml#a69f74358d42fc010bd8807d07436d7b5',1,'Macros.h']]],
-  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a8adf1132623f898e2088899490ef7bd6',1,'Macros.h']]],
+  ['variadic_5fsize_5fimpl',['VARIADIC_SIZE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a1667c2513ea4d07e8c042cb7d703b03e',1,'Macros.h']]],
   ['vatomic_5finc16',['VATOMIC_INC16',['../histogram_8cl.xhtml#a2c8a35cfde24ca7728709200962e1a91',1,'histogram.cl']]],
+  ['vbsl_5fimpl',['VBSL_IMPL',['../bsl_8h.xhtml#ae1fef158df33d5ae3ed972318ffabd51',1,'bsl.h']]],
+  ['vceq_5fimpl',['VCEQ_IMPL',['../ceq_8h.xhtml#aa399fa958ad81ea96aa9bc5300fbe94e',1,'ceq.h']]],
+  ['vcge_5fimpl',['VCGE_IMPL',['../cge_8h.xhtml#a895d19e8d018379223edd12dbe44bd20',1,'cge.h']]],
+  ['vcgt_5fimpl',['VCGT_IMPL',['../cgt_8h.xhtml#a64dca898320a5373b90bdc7cb1bcbe24',1,'cgt.h']]],
+  ['vclt_5fimpl',['VCLT_IMPL',['../clt_8h.xhtml#aec09983762f53e48fc5fe3c989606293',1,'clt.h']]],
+  ['vcombine_5fimpl',['VCOMBINE_IMPL',['../combine_8h.xhtml#ab8d791094bb23b5ef44a87840fef2d40',1,'combine.h']]],
+  ['vdiv_5fimpl',['VDIV_IMPL',['../div_8h.xhtml#aa8afc881d4e123890d30b4427c6537f2',1,'div.h']]],
   ['vdup_5fn_5fimpl',['VDUP_N_IMPL',['../dup__n_8h.xhtml#a6c38d709b02e309677e93fe3ce2959c8',1,'dup_n.h']]],
   ['vec_5fdata_5ftype',['VEC_DATA_TYPE',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f',1,'helpers.h']]],
   ['vec_5fdata_5ftype_5fstr',['VEC_DATA_TYPE_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ae802822defb0fa3a7f74f98e324696cb',1,'helpers.h']]],
@@ -25,21 +34,38 @@
   ['vgetqlane_5fimpl_5f4',['VGETQLANE_IMPL_4',['../getlane_8h.xhtml#ac99257d17af60fc10fea00c4c6b21755',1,'getlane.h']]],
   ['vgetqlane_5fimpl_5f8',['VGETQLANE_IMPL_8',['../getlane_8h.xhtml#ae68e7caec08496db4a3590e1aed6f606',1,'getlane.h']]],
   ['vinv_5fimpl',['VINV_IMPL',['../inv_8h.xhtml#a40d7d98ec5221df8fb9baa6285e0eac8',1,'inv.h']]],
+  ['vinvsqrt_5fimpl',['VINVSQRT_IMPL',['../invsqrt_8h.xhtml#ae4e958aaa071eaccd30635175915525b',1,'invsqrt.h']]],
   ['vload',['VLOAD',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f',1,'helpers.h']]],
   ['vload_5fimpl',['VLOAD_IMPL',['../load_8h.xhtml#a53c08997bb6826fb0ec78c83607b9545',1,'load.h']]],
   ['vload_5fstr',['VLOAD_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a29367a809c14c294feefc1a8dad93752',1,'helpers.h']]],
   ['vloadq_5fimpl',['VLOADQ_IMPL',['../load_8h.xhtml#a0c7646422da9febac20624c0b9b2a1a3',1,'load.h']]],
+  ['vlog_5fimpl',['VLOG_IMPL',['../_n_e_o_n_2wrapper_2intrinsics_2_log_8h.xhtml#a22cd8aa4f02fcb658107a84aeb481982',1,'log.h']]],
   ['vmax_5fimpl',['VMAX_IMPL',['../max_8h.xhtml#ab6111051c5010b16c00093156511f855',1,'max.h']]],
   ['vmin_5fimpl',['VMIN_IMPL',['../min_8h.xhtml#a896770d0c1b78b40abe6caf695196c4c',1,'min.h']]],
   ['vmla_5fimpl',['VMLA_IMPL',['../mla_8h.xhtml#ab57fefb3377e41c426ae39f99da052c1',1,'mla.h']]],
   ['vmovl_5fimpl',['VMOVL_IMPL',['../movl_8h.xhtml#aa1e8248966b5ef39e9b1aeddfb94686a',1,'movl.h']]],
   ['vmovn_5fimpl',['VMOVN_IMPL',['../movn_8h.xhtml#adc378b913f3e6908b6bc250d8c613a7c',1,'movn.h']]],
   ['vmul_5fimpl',['VMUL_IMPL',['../mul_8h.xhtml#a7230a4f28baa1af7abdcd914a6cace07',1,'mul.h']]],
-  ['vneg_5fimpl',['VNEG_IMPL',['../neg_8h.xhtml#aff004cf8b18db56bc49fbc80092ea517',1,'neg.h']]],
-  ['vnegq_5fimpl',['VNEGQ_IMPL',['../neg_8h.xhtml#a86f55cb8661d39bb53c96bb1bf9027d5',1,'neg.h']]],
+  ['vneg_5fimpl',['VNEG_IMPL',['../neg_8h.xhtml#a200ac36c7fe41ad0efab758b8310702f',1,'neg.h']]],
+  ['vnot_5fimpl',['VNOT_IMPL',['../not_8h.xhtml#a7e57462f485378696617fc78a76484c9',1,'not.h']]],
+  ['vorr_5fimpl',['VORR_IMPL',['../orr_8h.xhtml#a04434dfb922ac8edd2457b4b610f4179',1,'orr.h']]],
   ['vpadd_5fimpl',['VPADD_IMPL',['../padd_8h.xhtml#ad214582b616c6013dbf8e818c8c861c7',1,'padd.h']]],
+  ['vpmax_5fimpl',['VPMAX_IMPL',['../pmax_8h.xhtml#a5baec76144268d30fcd5ba40bd0ed174',1,'pmax.h']]],
+  ['vpmin_5fimpl',['VPMIN_IMPL',['../pmin_8h.xhtml#af0531017308927dadbb17f06fce91676',1,'pmin.h']]],
+  ['vpow_5fimpl',['VPOW_IMPL',['../pow_8h.xhtml#a020af2fb395c60053430d32899a3920f',1,'pow.h']]],
+  ['vqabs_5fimpl',['VQABS_IMPL',['../abs_8h.xhtml#a19b8ccb67da1940e94c258c886c06f70',1,'abs.h']]],
+  ['vqadd_5fimpl',['VQADD_IMPL',['../intrinsics_2add_8h.xhtml#a2e3b6cb0dffd73079a3744b20a54092e',1,'add.h']]],
   ['vqmovn_5fimpl',['VQMOVN_IMPL',['../movn_8h.xhtml#a4e640f0a093f77b0eb886fd362592b55',1,'movn.h']]],
+  ['vrev64_5fimpl',['VREV64_IMPL',['../rev64_8h.xhtml#a2b435225cdcf3ef8b37163d1713e63b1',1,'rev64.h']]],
+  ['vsetlane_5fimpl_5f2',['VSETLANE_IMPL_2',['../setlane_8h.xhtml#acc6a2c802844ccf851c8c05d5f442a50',1,'setlane.h']]],
+  ['vsetlane_5fimpl_5f4',['VSETLANE_IMPL_4',['../setlane_8h.xhtml#ae98b2c562db44248be62b270e207a9d5',1,'setlane.h']]],
+  ['vsetlane_5fimpl_5f8',['VSETLANE_IMPL_8',['../setlane_8h.xhtml#a71aaab43da94f3ba1c715a066411960e',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f16',['VSETQLANE_IMPL_16',['../setlane_8h.xhtml#a4cd222120fb89be095e2ab224d279e45',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f4',['VSETQLANE_IMPL_4',['../setlane_8h.xhtml#a3788c6fe956c28499c7a85320577272f',1,'setlane.h']]],
+  ['vsetqlane_5fimpl_5f8',['VSETQLANE_IMPL_8',['../setlane_8h.xhtml#ae8ae0c37fd3616c92db03637452aaa53',1,'setlane.h']]],
   ['vstore',['VSTORE',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54',1,'helpers.h']]],
   ['vstore_5fimpl',['VSTORE_IMPL',['../store_8h.xhtml#aa3acf4387755a828f7f220975d5e6367',1,'store.h']]],
-  ['vstore_5fstr',['VSTORE_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aeedcb2d8b4b0ce17747474d4da15f199',1,'helpers.h']]]
+  ['vstore_5fstr',['VSTORE_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aeedcb2d8b4b0ce17747474d4da15f199',1,'helpers.h']]],
+  ['vsub_5fimpl',['VSUB_IMPL',['../sub_8h.xhtml#a972032252169f4f0c8e346d93e559b41',1,'sub.h']]],
+  ['vtanh_5fimpl',['VTANH_IMPL',['../tanh_8h.xhtml#a92535f82febc323ae3b135cdf25617e6',1,'tanh.h']]]
 ];
diff --git a/documentation/search/defines_14.html b/documentation/search/defines_14.html
index fe3500f..8ad5e2e 100644
--- a/documentation/search/defines_14.html
+++ b/documentation/search/defines_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_15.html b/documentation/search/defines_15.html
index ff7526f..0672d7a 100644
--- a/documentation/search/defines_15.html
+++ b/documentation/search/defines_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_16.html b/documentation/search/defines_16.html
index 62d9dac..11aad88 100644
--- a/documentation/search/defines_16.html
+++ b/documentation/search/defines_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_2.html b/documentation/search/defines_2.html
index 8655993..4629221 100644
--- a/documentation/search/defines_2.html
+++ b/documentation/search/defines_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_2.js b/documentation/search/defines_2.js
index ba98a50..749ad64 100644
--- a/documentation/search/defines_2.js
+++ b/documentation/search/defines_2.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['cast_5fsuite',['CAST_SUITE',['../_cast_8cpp.xhtml#a661883c3cf746d2388310db13b77817e',1,'Cast.cpp']]],
   ['check_5fcorner',['CHECK_CORNER',['../fast__corners_8cl.xhtml#a2e2df45f46c673a1a5a1c8f4eb06aa09',1,'fast_corners.cl']]],
   ['check_5fnodeidx_5fpair',['CHECK_NODEIDX_PAIR',['../_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37',1,'GraphBuilder.cpp']]],
   ['check_5fpixel',['check_pixel',['../canny_8cl.xhtml#a64ee229d1bcee88c8017356d5d485650',1,'canny.cl']]],
@@ -13,12 +14,12 @@
   ['compute_5ftype',['COMPUTE_TYPE',['../convolution5x5_8cl.xhtml#a26babb0c719990ecbdf3abc6de920875',1,'COMPUTE_TYPE():&#160;convolution5x5.cl'],['../convolution7x7_8cl.xhtml#a26babb0c719990ecbdf3abc6de920875',1,'COMPUTE_TYPE():&#160;convolution7x7.cl'],['../convolution9x9_8cl.xhtml#a26babb0c719990ecbdf3abc6de920875',1,'COMPUTE_TYPE():&#160;convolution9x9.cl']]],
   ['concat',['CONCAT',['../tests_2framework_2_macros_8h.xhtml#a6c274ed8a1a31eb195191c849ae4ff6f',1,'Macros.h']]],
   ['convert',['CONVERT',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be',1,'helpers.h']]],
-  ['convert_5fdown',['CONVERT_DOWN',['../arithmetic__op__quantized_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;arithmetic_op_quantized.cl'],['../depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;depth_convert.cl']]],
+  ['convert_5fdown',['CONVERT_DOWN',['../depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;depth_convert.cl'],['../elementwise__operation__quantized_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d',1,'CONVERT_DOWN():&#160;elementwise_operation_quantized.cl']]],
   ['convert_5fop_5ffloat',['CONVERT_OP_FLOAT',['../pixelwise__mul__float_8cl.xhtml#ae564a6abd6049a086c7933daa40c8eb8',1,'pixelwise_mul_float.cl']]],
   ['convert_5fop_5ffloat_5fstr',['CONVERT_OP_FLOAT_STR',['../pixelwise__mul__float_8cl.xhtml#aa79b968718a9e073dd6f14a15a6f3e8b',1,'pixelwise_mul_float.cl']]],
   ['convert_5fop_5fint',['CONVERT_OP_INT',['../pixelwise__mul__int_8cl.xhtml#a0a99388febbdc0cb5b9e664faf79233c',1,'pixelwise_mul_int.cl']]],
   ['convert_5fop_5fint_5fstr',['CONVERT_OP_INT_STR',['../pixelwise__mul__int_8cl.xhtml#ab958e43cb87518ce5dd73c7233bbf003',1,'pixelwise_mul_int.cl']]],
-  ['convert_5frte',['CONVERT_RTE',['../arithmetic__op__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'arithmetic_op_quantized.cl']]],
+  ['convert_5frte',['CONVERT_RTE',['../elementwise__operation__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'elementwise_operation_quantized.cl']]],
   ['convert_5fsat',['CONVERT_SAT',['../direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2',1,'CONVERT_SAT():&#160;direct_convolution1x1.cl'],['../direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2',1,'CONVERT_SAT():&#160;direct_convolution3x3.cl'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23fb01b6f3453cc0e48a026fd44f6acd',1,'CONVERT_SAT():&#160;helpers.h']]],
   ['convert_5fsat_5fround',['CONVERT_SAT_ROUND',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a28b2b123792a5b11a32cb05a6d327437',1,'helpers.h']]],
   ['convert_5fsat_5fround_5fstr',['CONVERT_SAT_ROUND_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a341a0c28698c3f6bd171df1771c5a512',1,'helpers.h']]],
diff --git a/documentation/search/defines_3.html b/documentation/search/defines_3.html
index a55d3ff..a62cf61 100644
--- a/documentation/search/defines_3.html
+++ b/documentation/search/defines_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_3.js b/documentation/search/defines_3.js
index 5469632..af78021 100644
--- a/documentation/search/defines_3.js
+++ b/documentation/search/defines_3.js
@@ -15,6 +15,10 @@
   ['declare_5fneon_5ffunctions_5ffor_5ftype',['DECLARE_NEON_FUNCTIONS_FOR_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#a32a426c4abdceda8e1c40005df27f8d4',1,'NESoftmaxLayerKernel.cpp']]],
   ['declare_5fneon_5fvec_5ftype',['DECLARE_NEON_VEC_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#af743beb1ad23bceb05b4eeb3e491839c',1,'NESoftmaxLayerKernel.cpp']]],
   ['default_5fvalidate',['DEFAULT_VALIDATE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#aafb2ac305c1cfb580f29d538687f1fb5',1,'PixelWiseMultiplication.cpp']]],
+  ['define_5fkernel',['DEFINE_KERNEL',['../comparisons_8cl.xhtml#ae9c11d005e6e6db7e1a736f07ed32bd7',1,'comparisons.cl']]],
+  ['define_5fkernel_5fquantized',['DEFINE_KERNEL_QUANTIZED',['../comparisons_8cl.xhtml#a8ed8f939def9689f1ecfe79740f5fd2f',1,'comparisons.cl']]],
+  ['define_5fkernel_5fquantized_5fstr',['DEFINE_KERNEL_QUANTIZED_STR',['../comparisons_8cl.xhtml#ac3bebd1fe5a5382f50c4b15d2d551b70',1,'comparisons.cl']]],
+  ['define_5fkernel_5fstr',['DEFINE_KERNEL_STR',['../comparisons_8cl.xhtml#a09a9348f4f03ddf2d08ae98bb8d0418b',1,'comparisons.cl']]],
   ['determinant_5fthr',['DETERMINANT_THR',['../optical__flow__pyramid__lk_8cl.xhtml#a0f3927d942874a04e6464bdb946de046',1,'optical_flow_pyramid_lk.cl']]],
   ['disabled_5fdata_5ftest_5fcase',['DISABLED_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a2d0deff95a1325348da7d2a945982b59',1,'Macros.h']]],
   ['disabled_5ffixture_5fdata_5ftest_5fcase',['DISABLED_FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a7fb6c2e21b15474448e1f50d8acc854b',1,'Macros.h']]],
@@ -22,7 +26,7 @@
   ['disabled_5fregister_5ffixture_5fdata_5ftest_5fcase',['DISABLED_REGISTER_FIXTURE_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a934ee9a7581b65523fd180c96b159fb8',1,'Macros.h']]],
   ['disabled_5fregister_5ffixture_5ftest_5fcase',['DISABLED_REGISTER_FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a55d2ae62838572e7be1c87128d02b493',1,'Macros.h']]],
   ['disabled_5ftest_5fcase',['DISABLED_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a89747ae30c60b9f052fbf9707c8301a9',1,'Macros.h']]],
-  ['div',['DIV',['../arithmetic__op_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'arithmetic_op.cl']]],
+  ['div',['DIV',['../elementwise__operation_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'DIV():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a49f6fecffd852cda3b0ece53dcbb2b87',1,'DIV():&#160;elementwise_operation_quantized.cl']]],
   ['div_5fop',['DIV_OP',['../normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;normalization_layer.cl'],['../pooling__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f',1,'DIV_OP():&#160;pooling_layer_quantized.cl'],['../softmax__layer_8cl.xhtml#a8cde99b1ce0f3c1dacd49261b0cf03d8',1,'DIV_OP():&#160;softmax_layer.cl']]],
   ['div_5fop_5fnhwc',['DIV_OP_NHWC',['../pooling__layer_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711',1,'DIV_OP_NHWC():&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711',1,'DIV_OP_NHWC():&#160;pooling_layer_quantized.cl']]]
 ];
diff --git a/documentation/search/defines_4.html b/documentation/search/defines_4.html
index 54da39a..ebd8a20 100644
--- a/documentation/search/defines_4.html
+++ b/documentation/search/defines_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_4.js b/documentation/search/defines_4.js
index a12eee5..c80d44a 100644
--- a/documentation/search/defines_4.js
+++ b/documentation/search/defines_4.js
@@ -4,6 +4,7 @@
   ['egl_5fentry',['EGL_ENTRY',['../_open_g_l_e_s_8cpp.xhtml#aa3518d2943000be78d58e9d433cc4eaa',1,'EGL_ENTRY():&#160;OpenGLES.cpp'],['../_open_g_l_e_s_8cpp.xhtml#aa3518d2943000be78d58e9d433cc4eaa',1,'EGL_ENTRY():&#160;OpenGLES.cpp'],['../_open_g_l_e_s_8cpp.xhtml#aa3518d2943000be78d58e9d433cc4eaa',1,'EGL_ENTRY():&#160;OpenGLES.cpp']]],
   ['eigenvalue_5fthr',['EIGENVALUE_THR',['../optical__flow__pyramid__lk_8cl.xhtml#a3955a0fbedb5b3eae9a38801fb01bac5',1,'optical_flow_pyramid_lk.cl']]],
   ['eps_5fgrid',['EPS_GRID',['../roi__align__layer_8cl.xhtml#adb4f942cbd5a43867c692b026c975faa',1,'roi_align_layer.cl']]],
+  ['equal',['EQUAL',['../comparisons_8cl.xhtml#a11e1e42f5f3d4770afe593a344b8fc69',1,'comparisons.cl']]],
   ['exp_5fbarrel_5fshifter',['EXP_BARREL_SHIFTER',['../helpers__asymm_8h.xhtml#ace9ecff421cf885ad2c2d72d87c492cb',1,'helpers_asymm.h']]],
   ['exp_5fbarrel_5fshifter_5fimpl',['EXP_BARREL_SHIFTER_IMPL',['../helpers__asymm_8h.xhtml#aa12ca21cb9a54d2e4c26d57303fe44a7',1,'helpers_asymm.h']]],
   ['exp_5fop',['EXP_OP',['../softmax__layer_8cl.xhtml#a93cf800667317d96574477b9f0a75234',1,'softmax_layer.cl']]],
diff --git a/documentation/search/defines_5.html b/documentation/search/defines_5.html
index dd7bfdc..4f88d78 100644
--- a/documentation/search/defines_5.html
+++ b/documentation/search/defines_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_5.js b/documentation/search/defines_5.js
index b5a0611..37332f3 100644
--- a/documentation/search/defines_5.js
+++ b/documentation/search/defines_5.js
@@ -9,6 +9,7 @@
   ['fixture_5fteardown',['FIXTURE_TEARDOWN',['../tests_2framework_2_macros_8h.xhtml#ae4ff555702946b1f9dddd59f2bff3a2b',1,'Macros.h']]],
   ['fixture_5ftest_5fcase',['FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a926fbae618fcbb44111e683b8a1e2f99',1,'Macros.h']]],
   ['fixture_5ftest_5fcase_5fimpl',['FIXTURE_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a2ff966da00c382c25e5b064b019d870c',1,'Macros.h']]],
+  ['float1',['float1',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a08069d303d2082bb5db214244a634c0c',1,'helpers.h']]],
   ['flt_5fscale',['FLT_SCALE',['../optical__flow__pyramid__lk_8cl.xhtml#a1852457538f524c42f96b66882bd9b35',1,'optical_flow_pyramid_lk.cl']]],
   ['forward_5fdeclare_5fvget_5flane_5ffor_5ftype',['FORWARD_DECLARE_VGET_LANE_FOR_TYPE',['../_n_e_softmax_layer_kernel_8cpp.xhtml#a343c67edf168094b802af154b23df92a',1,'NESoftmaxLayerKernel.cpp']]]
 ];
diff --git a/documentation/search/defines_6.html b/documentation/search/defines_6.html
index 58d00e9..1314ce7 100644
--- a/documentation/search/defines_6.html
+++ b/documentation/search/defines_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_6.js b/documentation/search/defines_6.js
index b2dd09f..ee3d41e 100644
--- a/documentation/search/defines_6.js
+++ b/documentation/search/defines_6.js
@@ -1,5 +1,7 @@
 var searchData=
 [
   ['gl_5fentry',['GL_ENTRY',['../_open_g_l_e_s_8cpp.xhtml#a5b691a78f9cef2aed8c5dc87b0898b39',1,'GL_ENTRY():&#160;OpenGLES.cpp'],['../_open_g_l_e_s_8cpp.xhtml#a5b691a78f9cef2aed8c5dc87b0898b39',1,'GL_ENTRY():&#160;OpenGLES.cpp'],['../_open_g_l_e_s_8cpp.xhtml#a5b691a78f9cef2aed8c5dc87b0898b39',1,'GL_ENTRY():&#160;OpenGLES.cpp']]],
+  ['greater',['GREATER',['../comparisons_8cl.xhtml#a70e3dcde6a2e40c5b571a2b79a20d075',1,'comparisons.cl']]],
+  ['greaterequal',['GREATEREQUAL',['../comparisons_8cl.xhtml#a18fee7f44d9b7e29bdf11be248e36930',1,'comparisons.cl']]],
   ['grid_5fsize',['GRID_SIZE',['../softmax__layer_8cl.xhtml#a08246606c233e7785a497c09672f366f',1,'GRID_SIZE():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#a08246606c233e7785a497c09672f366f',1,'GRID_SIZE():&#160;softmax_layer_quantized.cl']]]
 ];
diff --git a/documentation/search/defines_7.html b/documentation/search/defines_7.html
index 275e1b3..b7d170c 100644
--- a/documentation/search/defines_7.html
+++ b/documentation/search/defines_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_7.js b/documentation/search/defines_7.js
index 38f86eb..55c4a71 100644
--- a/documentation/search/defines_7.js
+++ b/documentation/search/defines_7.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['half1',['half1',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6083fd110e3a4572725f6a020c1681ae',1,'helpers.h']]],
   ['half_5fround_5fstyle',['HALF_ROUND_STYLE',['../_half_8h.xhtml#af470ed60568b3e7f4fde6092d22abbde',1,'Half.h']]],
   ['half_5fround_5fties_5fto_5feven',['HALF_ROUND_TIES_TO_EVEN',['../_half_8h.xhtml#ab0c3c06432f0247f22594abe3df0ebfe',1,'Half.h']]],
   ['hwcap_5fasimddp',['HWCAP_ASIMDDP',['../_c_p_u_utils_8cpp.xhtml#af2e3430d5d0940d0a78029eb50f69234',1,'CPUUtils.cpp']]],
diff --git a/documentation/search/defines_8.html b/documentation/search/defines_8.html
index de651d9..396885f 100644
--- a/documentation/search/defines_8.html
+++ b/documentation/search/defines_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_9.html b/documentation/search/defines_9.html
index a93bb53..9871b74 100644
--- a/documentation/search/defines_9.html
+++ b/documentation/search/defines_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_9.js b/documentation/search/defines_9.js
index 995e528..67ea05a 100644
--- a/documentation/search/defines_9.js
+++ b/documentation/search/defines_9.js
@@ -3,6 +3,7 @@
   ['join_5fparam',['JOIN_PARAM',['../tests_2framework_2_macros_8h.xhtml#adbfdccc4c864135d8020801232d54bd1',1,'Macros.h']]],
   ['join_5fparam1',['JOIN_PARAM1',['../tests_2framework_2_macros_8h.xhtml#acdd2ac75560db81371f4053e6465a0eb',1,'Macros.h']]],
   ['join_5fparam10',['JOIN_PARAM10',['../tests_2framework_2_macros_8h.xhtml#a4d997912b340aca63b12b84330f8a4bc',1,'Macros.h']]],
+  ['join_5fparam11',['JOIN_PARAM11',['../tests_2framework_2_macros_8h.xhtml#a09c3797bb57c8135de9f9e9557e66bab',1,'Macros.h']]],
   ['join_5fparam2',['JOIN_PARAM2',['../tests_2framework_2_macros_8h.xhtml#a35d1497660f569a76fe4de6bebf67c9a',1,'Macros.h']]],
   ['join_5fparam3',['JOIN_PARAM3',['../tests_2framework_2_macros_8h.xhtml#afedfb2831ec629f6445b1d4d5ed30154',1,'Macros.h']]],
   ['join_5fparam4',['JOIN_PARAM4',['../tests_2framework_2_macros_8h.xhtml#a43ee597995dd64cfabd52d2342342855',1,'Macros.h']]],
diff --git a/documentation/search/defines_a.html b/documentation/search/defines_a.html
index cf4841d..dcba1f5 100644
--- a/documentation/search/defines_a.html
+++ b/documentation/search/defines_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_a.js b/documentation/search/defines_a.js
index 76e1d8c..3f92aca 100644
--- a/documentation/search/defines_a.js
+++ b/documentation/search/defines_a.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['less',['LESS',['../comparisons_8cl.xhtml#ab57cc7442cb60d5e4cba22ca35986c18',1,'comparisons.cl']]],
+  ['lessequal',['LESSEQUAL',['../comparisons_8cl.xhtml#a6bc14fa19faf519c3cfa55b660ef5e06',1,'comparisons.cl']]],
   ['load_5fand_5fset_5fmask',['LOAD_AND_SET_MASK',['../fast__corners_8cl.xhtml#a9da9e257c05fa101dacfaaedd305f5bb',1,'fast_corners.cl']]],
   ['load_5ffunction_5fptr',['LOAD_FUNCTION_PTR',['../_open_c_l_8cpp.xhtml#ad34d144f5c59d263587bd0adb4680353',1,'OpenCL.cpp']]],
   ['load_5fop',['LOAD_OP',['../normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691',1,'normalization_layer.cl']]],
diff --git a/documentation/search/defines_b.html b/documentation/search/defines_b.html
index 26cf44f..067be08 100644
--- a/documentation/search/defines_b.html
+++ b/documentation/search/defines_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_b.js b/documentation/search/defines_b.js
index 3fe1445..71a3dd2 100644
--- a/documentation/search/defines_b.js
+++ b/documentation/search/defines_b.js
@@ -6,8 +6,10 @@
   ['make_5ftype_5fparam',['MAKE_TYPE_PARAM',['../tests_2framework_2_macros_8h.xhtml#aced260163b84b2bd95927003e7d69bfc',1,'Macros.h']]],
   ['make_5ftype_5fparams',['MAKE_TYPE_PARAMS',['../tests_2framework_2_macros_8h.xhtml#a2c9e3879e1ad83c6a47f4630c6ca22ee',1,'Macros.h']]],
   ['mat_5findex',['MAT_INDEX',['../convolution__rectangle_8cl.xhtml#a61020724430287ed1cd963e312ca47d2',1,'convolution_rectangle.cl']]],
+  ['max',['MAX',['../elementwise__operation_8cl.xhtml#aacc3ee1a7f283f8ef65cea31f4436a95',1,'MAX():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#aacc3ee1a7f283f8ef65cea31f4436a95',1,'MAX():&#160;elementwise_operation_quantized.cl']]],
   ['max_5fmatrix_5fsize',['MAX_MATRIX_SIZE',['../_c_l_convolution_kernel_8cpp.xhtml#aa2c0d6237cdb5575f0790092613533ce',1,'CLConvolutionKernel.cpp']]],
   ['max_5fop',['MAX_OP',['../softmax__layer_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01',1,'MAX_OP():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#abaa48ad818c44e415fd3f9dd0f27bf01',1,'MAX_OP():&#160;softmax_layer_quantized.cl']]],
+  ['min',['MIN',['../elementwise__operation_8cl.xhtml#a74e75242132eaabbc1c512488a135926',1,'MIN():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a74e75242132eaabbc1c512488a135926',1,'MIN():&#160;elementwise_operation_quantized.cl']]],
   ['minval',['MINVAL',['../softmax__layer_8cl.xhtml#a80b22c555ddadb47cc6ca338a9c49126',1,'softmax_layer.cl']]],
   ['mul_5fop',['MUL_OP',['../batchnormalization__layer_8cl.xhtml#ad3cc858846806e6b1d3694b9d0a2e6da',1,'MUL_OP():&#160;batchnormalization_layer.cl'],['../direct__convolution1x1_8cl.xhtml#ad3cc858846806e6b1d3694b9d0a2e6da',1,'MUL_OP():&#160;direct_convolution1x1.cl'],['../direct__convolution3x3_8cl.xhtml#ad3cc858846806e6b1d3694b9d0a2e6da',1,'MUL_OP():&#160;direct_convolution3x3.cl'],['../normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f',1,'MUL_OP():&#160;normalization_layer.cl'],['../pixelwise__mul__int_8cl.xhtml#a34c938068213444e52940e73d6d585cc',1,'MUL_OP():&#160;pixelwise_mul_int.cl'],['../softmax__layer_8cl.xhtml#a22303c4047ec5027c1538d53964b9d0d',1,'MUL_OP():&#160;softmax_layer.cl']]]
 ];
diff --git a/documentation/search/defines_c.html b/documentation/search/defines_c.html
index eca33be..259a1fc 100644
--- a/documentation/search/defines_c.html
+++ b/documentation/search/defines_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_c.js b/documentation/search/defines_c.js
index c2c3982..e1b84b7 100644
--- a/documentation/search/defines_c.js
+++ b/documentation/search/defines_c.js
@@ -1,4 +1,5 @@
 var searchData=
 [
-  ['no_5fedge',['NO_EDGE',['../canny_8cl.xhtml#a333a1d2eee75220d5161fdb0e778867d',1,'canny.cl']]]
+  ['no_5fedge',['NO_EDGE',['../canny_8cl.xhtml#a333a1d2eee75220d5161fdb0e778867d',1,'canny.cl']]],
+  ['notequal',['NOTEQUAL',['../comparisons_8cl.xhtml#a5c1ab9f461f063396901d38afda00fc2',1,'comparisons.cl']]]
 ];
diff --git a/documentation/search/defines_d.html b/documentation/search/defines_d.html
index bdb5500..3c33b4b 100644
--- a/documentation/search/defines_d.html
+++ b/documentation/search/defines_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_d.js b/documentation/search/defines_d.js
index 90d5c9b..f35f245 100644
--- a/documentation/search/defines_d.js
+++ b/documentation/search/defines_d.js
@@ -1,5 +1,8 @@
 var searchData=
 [
+  ['offset_5fout',['OFFSET_OUT',['../activation__layer__qa8_8cl.xhtml#ae6008da94300b9fd595c9b708bade271',1,'activation_layer_qa8.cl']]],
+  ['op_5ffun_5fname',['OP_FUN_NAME',['../elementwise__operation_8cl.xhtml#afc658c67277583af4eaca9a340d4128c',1,'OP_FUN_NAME():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#afc658c67277583af4eaca9a340d4128c',1,'OP_FUN_NAME():&#160;elementwise_operation_quantized.cl']]],
+  ['op_5ffun_5fname_5fstr',['OP_FUN_NAME_STR',['../elementwise__operation_8cl.xhtml#a5e2243047d8466ea143cbb9e1f196a95',1,'OP_FUN_NAME_STR():&#160;elementwise_operation.cl'],['../elementwise__operation__quantized_8cl.xhtml#a5e2243047d8466ea143cbb9e1f196a95',1,'OP_FUN_NAME_STR():&#160;elementwise_operation_quantized.cl']]],
   ['out_5fstride_5fx',['out_stride_x',['../depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2',1,'depthwise_convolution.cl']]],
   ['out_5fstride_5fy',['out_stride_y',['../depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1',1,'depthwise_convolution.cl']]],
   ['out_5fstride_5fz',['out_stride_z',['../depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2',1,'depthwise_convolution.cl']]],
diff --git a/documentation/search/defines_e.html b/documentation/search/defines_e.html
index f8cb784..e178c0c 100644
--- a/documentation/search/defines_e.html
+++ b/documentation/search/defines_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_f.html b/documentation/search/defines_f.html
index fbd7936..4160104 100644
--- a/documentation/search/defines_f.html
+++ b/documentation/search/defines_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="defines_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/defines_f.js b/documentation/search/defines_f.js
index 9f2c1b0..1a8b68b 100644
--- a/documentation/search/defines_f.js
+++ b/documentation/search/defines_f.js
@@ -4,5 +4,26 @@
   ['register_5ffixture_5fdata_5ftest_5fcase_5fimpl',['REGISTER_FIXTURE_DATA_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#a0e9639d43f395accacbefdbf368f7ca0',1,'Macros.h']]],
   ['register_5ffixture_5ftest_5fcase',['REGISTER_FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#ac39772d06a4784bffc30fbe8a66ae1be',1,'Macros.h']]],
   ['register_5ffixture_5ftest_5fcase_5fimpl',['REGISTER_FIXTURE_TEST_CASE_IMPL',['../tests_2framework_2_macros_8h.xhtml#aea955b85cfaf872bc064b0e34a7cb7db',1,'Macros.h']]],
+  ['repeat_5f3_5f1',['REPEAT_3_1',['../repeat_8h.xhtml#a1dd0718c2bf5d454acd7a02b64577591',1,'repeat.h']]],
+  ['repeat_5f3_5f10',['REPEAT_3_10',['../repeat_8h.xhtml#a25dcf84375f5bef322aba053e054986d',1,'repeat.h']]],
+  ['repeat_5f3_5f11',['REPEAT_3_11',['../repeat_8h.xhtml#aab44d0a9187edad7e53d5e29f4fd65ee',1,'repeat.h']]],
+  ['repeat_5f3_5f12',['REPEAT_3_12',['../repeat_8h.xhtml#acbc305a55f5e189820a108d226d0c84b',1,'repeat.h']]],
+  ['repeat_5f3_5f13',['REPEAT_3_13',['../repeat_8h.xhtml#aea114bd5a1233b321466234ff0875bc3',1,'repeat.h']]],
+  ['repeat_5f3_5f14',['REPEAT_3_14',['../repeat_8h.xhtml#a20676acc95474bc47de256419f05ca69',1,'repeat.h']]],
+  ['repeat_5f3_5f15',['REPEAT_3_15',['../repeat_8h.xhtml#affa3fc076d4917193cd8d0642def145d',1,'repeat.h']]],
+  ['repeat_5f3_5f16',['REPEAT_3_16',['../repeat_8h.xhtml#ac5cc783b0133f545a6534e251a20b642',1,'repeat.h']]],
+  ['repeat_5f3_5f2',['REPEAT_3_2',['../repeat_8h.xhtml#a738d75550700d9ce743f0fac5738ee15',1,'repeat.h']]],
+  ['repeat_5f3_5f3',['REPEAT_3_3',['../repeat_8h.xhtml#a686ae0b0906446146df62c8d4a2ea937',1,'repeat.h']]],
+  ['repeat_5f3_5f4',['REPEAT_3_4',['../repeat_8h.xhtml#a9048833a93a05dd92f01b7e86bd62f09',1,'repeat.h']]],
+  ['repeat_5f3_5f5',['REPEAT_3_5',['../repeat_8h.xhtml#ac02a49c611c786dedf7cb89b030f7900',1,'repeat.h']]],
+  ['repeat_5f3_5f6',['REPEAT_3_6',['../repeat_8h.xhtml#a7a766ef9faa1ca344a84413e2eb1b9af',1,'repeat.h']]],
+  ['repeat_5f3_5f7',['REPEAT_3_7',['../repeat_8h.xhtml#a364708cdd26aa3540ddbf93741283798',1,'repeat.h']]],
+  ['repeat_5f3_5f8',['REPEAT_3_8',['../repeat_8h.xhtml#a3aca8cd3e6bb0f24b67c698ac39e2671',1,'repeat.h']]],
+  ['repeat_5f3_5f9',['REPEAT_3_9',['../repeat_8h.xhtml#ac1feec4d1bc359eb8973eef7a2c964ce',1,'repeat.h']]],
+  ['repeat_5f3_5fn',['REPEAT_3_N',['../repeat_8h.xhtml#ad84b38198b8d17b0507243d16efd72d8',1,'repeat.h']]],
+  ['repeat_5fdef_5f3_5fn',['REPEAT_DEF_3_N',['../repeat_8h.xhtml#a7719fb3da3410b3c7326f54e9f1a0908',1,'repeat.h']]],
+  ['repeat_5fvar_5finit_5fto_5fconst',['REPEAT_VAR_INIT_TO_CONST',['../repeat_8h.xhtml#a4a61a8df72f9bc1b1dcc4cc4ec6ac3b9',1,'repeat.h']]],
+  ['requires_5ft',['REQUIRES_T',['../_requires_8h.xhtml#ae843896d1046b7247f71f2c0ff372099',1,'Requires.h']]],
+  ['requires_5fta',['REQUIRES_TA',['../_requires_8h.xhtml#a7ebefe53095d57aad21f29f981ea2309',1,'Requires.h']]],
   ['round_5fup',['ROUND_UP',['../gemm__interleaved_8hpp.xhtml#a5560b3c73e2e50a0b1bda1fa70ec58af',1,'gemm_interleaved.hpp']]]
 ];
diff --git a/documentation/search/enums_0.html b/documentation/search/enums_0.html
index ee343ac..7040a9c 100644
--- a/documentation/search/enums_0.html
+++ b/documentation/search/enums_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_0.js b/documentation/search/enums_0.js
index 7a61522..5fdd711 100644
--- a/documentation/search/enums_0.js
+++ b/documentation/search/enums_0.js
@@ -1,5 +1,5 @@
 var searchData=
 [
   ['activationfunction',['ActivationFunction',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea',1,'arm_compute::ActivationLayerInfo']]],
-  ['arithmeticoperation',['ArithmeticOperation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::test::validation::reference']]]
+  ['arithmeticoperation',['ArithmeticOperation',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::ArithmeticOperation()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8ae',1,'arm_compute::test::validation::reference::ArithmeticOperation()']]]
 ];
diff --git a/documentation/search/enums_1.html b/documentation/search/enums_1.html
index 3fd210a..0c65c0e 100644
--- a/documentation/search/enums_1.html
+++ b/documentation/search/enums_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_1.js b/documentation/search/enums_1.js
index 3ee8122..917d380 100644
--- a/documentation/search/enums_1.js
+++ b/documentation/search/enums_1.js
@@ -1,6 +1,7 @@
 var searchData=
 [
   ['bilinearinterpolation',['BilinearInterpolation',['../namespacearm__compute.xhtml#a2d8a00f1d80a53ce8f75fa929c873202',1,'arm_compute']]],
+  ['bitwidth',['BitWidth',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0b',1,'arm_compute::wrapper::traits']]],
   ['bordermode',['BorderMode',['../namespacearm__compute.xhtml#a15a05537a472ee742404821851529327',1,'arm_compute']]],
   ['bufferstatus',['BufferStatus',['../namespacearm__gemm.xhtml#a32006a302bde841f2cf4cc8bb131856b',1,'arm_gemm']]]
 ];
diff --git a/documentation/search/enums_10.html b/documentation/search/enums_10.html
index bc6791f..2b73e4f 100644
--- a/documentation/search/enums_10.html
+++ b/documentation/search/enums_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_11.html b/documentation/search/enums_11.html
index 8c9ccf0..dd77bb2 100644
--- a/documentation/search/enums_11.html
+++ b/documentation/search/enums_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_2.html b/documentation/search/enums_2.html
index a042e52..4250446 100644
--- a/documentation/search/enums_2.html
+++ b/documentation/search/enums_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_2.js b/documentation/search/enums_2.js
index 82ff649..a97252d 100644
--- a/documentation/search/enums_2.js
+++ b/documentation/search/enums_2.js
@@ -2,6 +2,7 @@
 [
   ['channel',['Channel',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a',1,'arm_compute']]],
   ['clversion',['CLVersion',['../namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52e',1,'arm_compute']]],
+  ['comparisonoperation',['ComparisonOperation',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58c',1,'arm_compute']]],
   ['convertpolicy',['ConvertPolicy',['../namespacearm__compute.xhtml#a82b8ac759c804bc1fb4e2d21e178fb6f',1,'arm_compute']]],
   ['convolutionmethod',['ConvolutionMethod',['../namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517d',1,'arm_compute::ConvolutionMethod()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d',1,'arm_compute::graph::ConvolutionMethod()']]],
   ['cpumodel',['CPUModel',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4',1,'arm_compute']]]
diff --git a/documentation/search/enums_3.html b/documentation/search/enums_3.html
index 265e0cb..b118cca 100644
--- a/documentation/search/enums_3.html
+++ b/documentation/search/enums_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_3.js b/documentation/search/enums_3.js
index 368e7eb..7e20992 100644
--- a/documentation/search/enums_3.js
+++ b/documentation/search/enums_3.js
@@ -5,5 +5,6 @@
   ['datasetmode',['DatasetMode',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf',1,'arm_compute::test::framework']]],
   ['datatype',['DataType',['../namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6',1,'arm_compute']]],
   ['depthwiseconvolutionmethod',['DepthwiseConvolutionMethod',['../namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f',1,'arm_compute::graph']]],
+  ['detectionoutputlayercodetype',['DetectionOutputLayerCodeType',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830',1,'arm_compute']]],
   ['dimensionroundingtype',['DimensionRoundingType',['../namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849a',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enums_4.html b/documentation/search/enums_4.html
index 97ee07f..2795d4b 100644
--- a/documentation/search/enums_4.html
+++ b/documentation/search/enums_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_4.js b/documentation/search/enums_4.js
index 67cedcc..13983fe 100644
--- a/documentation/search/enums_4.js
+++ b/documentation/search/enums_4.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['elementwiseunary',['ElementWiseUnary',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936d',1,'arm_compute']]],
   ['eltwiseoperation',['EltwiseOperation',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4',1,'arm_compute::graph']]],
+  ['enabler',['enabler',['../namespacearm__compute_1_1utils_1_1requires_1_1detail.xhtml#afa024ebea52a21a5dbbe774795d584ea',1,'arm_compute::utils::requires::detail']]],
   ['errorcode',['ErrorCode',['../namespacearm__compute.xhtml#a59e56af19e754a6aa26a612ebf91d05f',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enums_5.html b/documentation/search/enums_5.html
index f837d25..ab40bbd 100644
--- a/documentation/search/enums_5.html
+++ b/documentation/search/enums_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_6.html b/documentation/search/enums_6.html
index 56491ab..f32ac36 100644
--- a/documentation/search/enums_6.html
+++ b/documentation/search/enums_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_7.html b/documentation/search/enums_7.html
index 5851773..7a25d59 100644
--- a/documentation/search/enums_7.html
+++ b/documentation/search/enums_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_8.html b/documentation/search/enums_8.html
index 74b2e21..03c3de2 100644
--- a/documentation/search/enums_8.html
+++ b/documentation/search/enums_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_9.html b/documentation/search/enums_9.html
index c08dec7..41e9d0d 100644
--- a/documentation/search/enums_9.html
+++ b/documentation/search/enums_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_a.html b/documentation/search/enums_a.html
index dd85c0d..d701fcb 100644
--- a/documentation/search/enums_a.html
+++ b/documentation/search/enums_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_b.html b/documentation/search/enums_b.html
index df0e287..b4d0165 100644
--- a/documentation/search/enums_b.html
+++ b/documentation/search/enums_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_c.html b/documentation/search/enums_c.html
index 326f9f8..0ac75d0 100644
--- a/documentation/search/enums_c.html
+++ b/documentation/search/enums_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_d.html b/documentation/search/enums_d.html
index 597c54b..0522cfd 100644
--- a/documentation/search/enums_d.html
+++ b/documentation/search/enums_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_e.html b/documentation/search/enums_e.html
index 2881a15..873f6d9 100644
--- a/documentation/search/enums_e.html
+++ b/documentation/search/enums_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enums_e.js b/documentation/search/enums_e.js
index 4d539b4..8570e58 100644
--- a/documentation/search/enums_e.js
+++ b/documentation/search/enums_e.js
@@ -1,5 +1,6 @@
 var searchData=
 [
   ['reductionoperation',['ReductionOperation',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45b',1,'arm_compute']]],
+  ['roundingmode',['RoundingMode',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101',1,'arm_compute::utils::rounding']]],
   ['roundingpolicy',['RoundingPolicy',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50be',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enums_f.html b/documentation/search/enums_f.html
index 4cb1b97..d95e9f3 100644
--- a/documentation/search/enums_f.html
+++ b/documentation/search/enums_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enums_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_0.html b/documentation/search/enumvalues_0.html
index 9387b6a..78895c7 100644
--- a/documentation/search/enumvalues_0.html
+++ b/documentation/search/enumvalues_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_0.js b/documentation/search/enumvalues_0.js
index d3d9093..fb87adf 100644
--- a/documentation/search/enumvalues_0.js
+++ b/documentation/search/enumvalues_0.js
@@ -7,8 +7,11 @@
   ['abs',['ABS',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa7d8a220d2262f9d6c658d549ee12cf2c',1,'arm_compute::ActivationLayerInfo']]],
   ['activationlayer',['ActivationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a041485a3394541feee82a34d40249d70',1,'arm_compute::graph']]],
   ['active',['ACTIVE',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba18ff74f43da410c5529f7d6fca84f115',1,'arm_compute::test::framework::TestCaseFactory']]],
-  ['add',['Add',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9',1,'arm_compute::graph::Add()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::test::validation::reference::ADD()']]],
+  ['add',['Add',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9',1,'arm_compute::graph::Add()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::ADD()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea9eeb52badb613229884838847294b90d',1,'arm_compute::test::validation::reference::ADD()']]],
   ['all',['ALL',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005a5fb1f955b45e38e31789286a1790398d',1,'arm_compute::test::framework::ALL()']]],
   ['area',['AREA',['../namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a639aaa22a784d5e5cb03a522267e79c4',1,'arm_compute']]],
-  ['avg',['AVG',['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a',1,'arm_compute']]]
+  ['arg_5fidx_5fmax',['ARG_IDX_MAX',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba654fed6e9b6c154d04bcaa439e32d0d5',1,'arm_compute']]],
+  ['arg_5fidx_5fmin',['ARG_IDX_MIN',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba39102811589b9a0d7a6aa8721663b4d1',1,'arm_compute']]],
+  ['avg',['AVG',['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a',1,'arm_compute']]],
+  ['away_5ffrom_5fzero',['AWAY_FROM_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a1ff3077771e77d24ec18776e2ed9edc7',1,'arm_compute::utils::rounding']]]
 ];
diff --git a/documentation/search/enumvalues_1.html b/documentation/search/enumvalues_1.html
index f622aba..9b02a4b 100644
--- a/documentation/search/enumvalues_1.html
+++ b/documentation/search/enumvalues_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_10.html b/documentation/search/enumvalues_10.html
index f211cc3..bf46a65 100644
--- a/documentation/search/enumvalues_10.html
+++ b/documentation/search/enumvalues_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_10.js b/documentation/search/enumvalues_10.js
index 3586749..4a0e20a 100644
--- a/documentation/search/enumvalues_10.js
+++ b/documentation/search/enumvalues_10.js
@@ -10,5 +10,6 @@
   ['rgb888',['RGB888',['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0',1,'arm_compute']]],
   ['rgba8888',['RGBA8888',['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a165f06116e7b8d9b2481dfc805db4619',1,'arm_compute']]],
   ['roialignlayer',['ROIAlignLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a9724a5f06f63ab3de9e8af69d20069fb',1,'arm_compute::graph']]],
+  ['rsqrt',['RSQRT',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da66bac724670f51e77f3688d33ca0d781',1,'arm_compute']]],
   ['runtime_5ferror',['RUNTIME_ERROR',['../namespacearm__compute.xhtml#a59e56af19e754a6aa26a612ebf91d05fa62be47fdd89da032cf78dfce82239579',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_11.html b/documentation/search/enumvalues_11.html
index 907a63e..276341c 100644
--- a/documentation/search/enumvalues_11.html
+++ b/documentation/search/enumvalues_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_11.js b/documentation/search/enumvalues_11.js
index da8bf28..4c7b147 100644
--- a/documentation/search/enumvalues_11.js
+++ b/documentation/search/enumvalues_11.js
@@ -17,9 +17,10 @@
   ['splitlayer',['SplitLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1',1,'arm_compute::graph']]],
   ['sqrt',['SQRT',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0',1,'arm_compute::ActivationLayerInfo']]],
   ['square',['SQUARE',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0',1,'arm_compute::ActivationLayerInfo']]],
+  ['squared_5fdiff',['SQUARED_DIFF',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea46ea186b87dc545033d86ba8d6e63916',1,'arm_compute']]],
   ['st',['ST',['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7aec8e57d71f07e31203035548b79d03c8',1,'arm_compute::Scheduler']]],
   ['static',['STATIC',['../classarm__compute_1_1_i_scheduler.xhtml#ad3ab921e075d1edd827faf95870aa808afe6f99ef1ec99efbdc19a9786cf1facc',1,'arm_compute::IScheduler']]],
-  ['sub',['Sub',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()']]],
+  ['sub',['SUB',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::SUB()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea241dd841abade20fcb27b8a9f494e1eb',1,'arm_compute::test::validation::reference::SUB()'],['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4ae80155eceb940c89e2de63ad05868db2',1,'arm_compute::graph::Sub()']]],
   ['success',['SUCCESS',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bad0749aaba8b833466dfcbb0428e4f89c',1,'arm_compute::test::framework::TestResult']]],
   ['sum',['SUM',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba6970bdc2201030b9c03fbdcf3973858a',1,'arm_compute']]],
   ['sum_5fsquare',['SUM_SQUARE',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45ba2ce6e134b828b72fad160fa17c8d1b64',1,'arm_compute']]]
diff --git a/documentation/search/enumvalues_12.html b/documentation/search/enumvalues_12.html
index 1adc220..884a369 100644
--- a/documentation/search/enumvalues_12.html
+++ b/documentation/search/enumvalues_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_12.js b/documentation/search/enumvalues_12.js
index f3dea8a..59321d3 100644
--- a/documentation/search/enumvalues_12.js
+++ b/documentation/search/enumvalues_12.js
@@ -9,12 +9,13 @@
   ['term_5fcriteria_5fepsilon',['TERM_CRITERIA_EPSILON',['../namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453a5a2e12b6baf7ad91a2ce32f19c36bd1b',1,'arm_compute']]],
   ['term_5fcriteria_5fiterations',['TERM_CRITERIA_ITERATIONS',['../namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453a43f2a8b688fb96e5ad8ba08308bbcdfd',1,'arm_compute']]],
   ['tests',['TESTS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9ac769ef7bddc01ed21a9f7c5fecbe2430',1,'arm_compute::test::framework']]],
+  ['tf_5fcenter',['TF_CENTER',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830ae65a115db9b4bcc4ae0aa0b989089d16',1,'arm_compute']]],
   ['time_5fms',['TIME_MS',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100a8ed2f2476469f812d63a2f4e83166c61',1,'arm_compute::test::framework']]],
   ['time_5fs',['TIME_S',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100a55d658bdb6741297d391d36632cb51b1',1,'arm_compute::test::framework']]],
   ['time_5fus',['TIME_US',['../namespacearm__compute_1_1test_1_1framework.xhtml#a3a01a70ad3a22d8b80c413e8a5977100ab843f590d06438293e06980b4f94bf39',1,'arm_compute::test::framework']]],
   ['to_5fnearest_5feven',['TO_NEAREST_EVEN',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea02ff1fff1812f84c89547fcd6c176150',1,'arm_compute']]],
   ['to_5fnearest_5fup',['TO_NEAREST_UP',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95',1,'arm_compute']]],
-  ['to_5fzero',['TO_ZERO',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea5631ad8e27788edfca7e13535d862c06',1,'arm_compute']]],
+  ['to_5fzero',['TO_ZERO',['../namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea5631ad8e27788edfca7e13535d862c06',1,'arm_compute::TO_ZERO()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a5631ad8e27788edfca7e13535d862c06',1,'arm_compute::utils::rounding::TO_ZERO()']]],
   ['top_5fleft',['TOP_LEFT',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1',1,'arm_compute']]],
   ['ttrx',['TTRX',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3ab39f7e42574174cf9ee7da726bdb13b4',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_13.html b/documentation/search/enumvalues_13.html
index 33dab2b..f96f096 100644
--- a/documentation/search/enumvalues_13.html
+++ b/documentation/search/enumvalues_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_14.html b/documentation/search/enumvalues_14.html
index 1865def..eb962ba 100644
--- a/documentation/search/enumvalues_14.html
+++ b/documentation/search/enumvalues_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_15.html b/documentation/search/enumvalues_15.html
index a210ae2..dad2663 100644
--- a/documentation/search/enumvalues_15.html
+++ b/documentation/search/enumvalues_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_15.js b/documentation/search/enumvalues_15.js
index bcdf6b6..7cd9801 100644
--- a/documentation/search/enumvalues_15.js
+++ b/documentation/search/enumvalues_15.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['w128',['W128',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0ba5d0626c5e2f6aee458121df2a9960a65',1,'arm_compute::wrapper::traits']]],
+  ['w64',['W64',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#aecca9117994b24bab16aaf0d9674fb0ba9b84734fee03571d586d8700ce846006',1,'arm_compute::wrapper::traits']]],
   ['wall_5fclock_5ftimer',['WALL_CLOCK_TIMER',['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005aabf534ee93a5bd6473d70f13a7414d92',1,'arm_compute::test::framework']]],
   ['wall_5fclock_5ftimestamps',['WALL_CLOCK_TIMESTAMPS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005a503aa8ac13b547591098b2ce77c28e99',1,'arm_compute::test::framework']]],
   ['warn',['WARN',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a32bd8a1db2275458673903bdb84cb277',1,'arm_compute::logging']]],
diff --git a/documentation/search/enumvalues_16.html b/documentation/search/enumvalues_16.html
index 36f6ed8..f9c2615 100644
--- a/documentation/search/enumvalues_16.html
+++ b/documentation/search/enumvalues_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_2.html b/documentation/search/enumvalues_2.html
index d499078..2482854 100644
--- a/documentation/search/enumvalues_2.html
+++ b/documentation/search/enumvalues_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_2.js b/documentation/search/enumvalues_2.js
index 613ec47..5e4dd6d 100644
--- a/documentation/search/enumvalues_2.js
+++ b/documentation/search/enumvalues_2.js
@@ -6,6 +6,7 @@
   ['c3',['C3',['../namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa3abe124ecc82bf2c2e22e6058f38c50c',1,'arm_compute']]],
   ['ceil',['CEIL',['../namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa5bdce8e6d9dc3efbbd31e90a8a181dff',1,'arm_compute']]],
   ['center',['CENTER',['../namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7bac397289ee45877be0cd49811fe245b4e',1,'arm_compute']]],
+  ['center_5fsize',['CENTER_SIZE',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830a1150a8d7752b01d30d91fe18fe9d8a54',1,'arm_compute']]],
   ['channel',['CHANNEL',['../namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229',1,'arm_compute']]],
   ['channelshufflelayer',['ChannelShuffleLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af5505217824e3e9e8000ef0d63360158',1,'arm_compute::graph']]],
   ['cl',['CL',['../namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0',1,'arm_compute::graph']]],
@@ -18,6 +19,8 @@
   ['const',['Const',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a79ceee9f8e3c1f0cc74223e05d2448bf',1,'arm_compute::graph']]],
   ['constant',['CONSTANT',['../namespacearm__compute.xhtml#a15a05537a472ee742404821851529327a8d6b5cada83510220f59e00ce86d4d92',1,'arm_compute']]],
   ['convolutionlayer',['ConvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7',1,'arm_compute::graph']]],
+  ['corner',['CORNER',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830ac411afd31d32cec664d372acc12f404a',1,'arm_compute']]],
+  ['corner_5fsize',['CORNER_SIZE',['../namespacearm__compute.xhtml#ad818ba0ecd4a87d8f1bb0d5b17f07830afbc6c35854fe02eb9e792f897399c42a',1,'arm_compute']]],
   ['cpp',['CPP',['../classarm__compute_1_1_scheduler.xhtml#a1d1cfd8ffb84e947f82999c682b666a7a4c162442ef22c58f6f1e330e6b692c7e',1,'arm_compute::Scheduler']]],
   ['crashed',['CRASHED',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba9c51674930e03c276344d19f9e4398fb',1,'arm_compute::test::framework::TestResult']]],
   ['cross',['CROSS',['../namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2',1,'arm_compute']]],
diff --git a/documentation/search/enumvalues_3.html b/documentation/search/enumvalues_3.html
index b4fc3ee..e6124b9 100644
--- a/documentation/search/enumvalues_3.html
+++ b/documentation/search/enumvalues_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_3.js b/documentation/search/enumvalues_3.js
index dd4e0d7..b130ef2 100644
--- a/documentation/search/enumvalues_3.js
+++ b/documentation/search/enumvalues_3.js
@@ -4,9 +4,11 @@
   ['deconvolutionlayer',['DeconvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ac814c26a7c5317e2a2f58fe0e5a0d410',1,'arm_compute::graph']]],
   ['default',['Default',['../structarm__compute_1_1_i_o_format_info.xhtml#a36c28b28da4e04d698d6b598fb1eaca6a7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::IOFormatInfo::Default()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::graph::Default()'],['../namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67',1,'arm_compute::graph::Default()']]],
   ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8',1,'arm_compute::graph']]],
+  ['detectionoutputlayer',['DetectionOutputLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ae1b0b91c003f871664a4e289977ef02e',1,'arm_compute::graph']]],
   ['direct',['DIRECT',['../namespacearm__compute.xhtml#a683661ae75dcb7aef16b9c9bde31517da4c5d06b02c97731aaa976179c62dcf76',1,'arm_compute::DIRECT()'],['../namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb',1,'arm_compute::graph::Direct()']]],
   ['disabled',['DISABLED',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba055c1a591abb0e8cd86dc969727bcc0b',1,'arm_compute::test::framework::TestCaseFactory::DISABLED()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba055c1a591abb0e8cd86dc969727bcc0b',1,'arm_compute::test::framework::TestResult::DISABLED()'],['../namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11ab9f5c797ebbf55adccdd8539a65a0241',1,'arm_compute::graph::Disabled()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa055c1a591abb0e8cd86dc969727bcc0b',1,'arm_compute::test::framework::DISABLED()']]],
   ['disk',['DISK',['../namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7',1,'arm_compute']]],
+  ['div',['DIV',['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea29bbf66f7f8529ec47e394fb5a36c646',1,'arm_compute']]],
   ['dummy',['Dummy',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16abcf036b6f33e182d4705f4f5b1af13ac',1,'arm_compute::graph']]],
   ['dynamic',['DYNAMIC',['../classarm__compute_1_1_i_scheduler.xhtml#ad3ab921e075d1edd827faf95870aa808a0fcc90da4811c877ba9f9c12f7d60bc9',1,'arm_compute::IScheduler']]]
 ];
diff --git a/documentation/search/enumvalues_4.html b/documentation/search/enumvalues_4.html
index d6f69ac..8d234cf 100644
--- a/documentation/search/enumvalues_4.html
+++ b/documentation/search/enumvalues_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_4.js b/documentation/search/enumvalues_4.js
index 44559fc..cdf5f72 100644
--- a/documentation/search/enumvalues_4.js
+++ b/documentation/search/enumvalues_4.js
@@ -2,8 +2,10 @@
 [
   ['eltwiselayer',['EltwiseLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16ad1b3837fe6a80018e7002c7f7905439d',1,'arm_compute::graph']]],
   ['enabled',['Enabled',['../namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32',1,'arm_compute::graph']]],
+  ['equal',['Equal',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5',1,'arm_compute']]],
   ['error',['ERROR',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9abb1ca97ec761fc37101737ba0aa2e7c5',1,'arm_compute::logging']]],
   ['errors',['ERRORS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57',1,'arm_compute::test::framework']]],
   ['exclude_5fborder',['EXCLUDE_BORDER',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a0e65ad13124ea2cb5e255b640464e35fab2b68da4be5fb8de72fb3679df88cf8e',1,'arm_compute::test::PaddingCalculator']]],
+  ['exp',['EXP',['../namespacearm__compute.xhtml#a5dad01b7eab116403241313417e0936da8c670f8c37b95e1ed14a0ce414b049c7',1,'arm_compute']]],
   ['expected_5ffailure',['EXPECTED_FAILURE',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70babdb2c34681be3432a08e0450b707a014',1,'arm_compute::test::framework::TestCaseFactory::EXPECTED_FAILURE()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70babdb2c34681be3432a08e0450b707a014',1,'arm_compute::test::framework::TestResult::EXPECTED_FAILURE()']]]
 ];
diff --git a/documentation/search/enumvalues_5.html b/documentation/search/enumvalues_5.html
index 43a28d1..d16ee24 100644
--- a/documentation/search/enumvalues_5.html
+++ b/documentation/search/enumvalues_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_6.html b/documentation/search/enumvalues_6.html
index 7439ee1..c39f086 100644
--- a/documentation/search/enumvalues_6.html
+++ b/documentation/search/enumvalues_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_6.js b/documentation/search/enumvalues_6.js
index 80c27df..d2fb8db 100644
--- a/documentation/search/enumvalues_6.js
+++ b/documentation/search/enumvalues_6.js
@@ -18,5 +18,7 @@
   ['generic_5ffp16',['GENERIC_FP16',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4aca6fc09ca003ddc8f631109ce01bc6e8',1,'arm_compute']]],
   ['generic_5ffp16_5fdot',['GENERIC_FP16_DOT',['../namespacearm__compute.xhtml#aa41d7415a5386798147cccae2333d5d4aad1a9b424f69f167da12150036196cd7',1,'arm_compute']]],
   ['gpu_5farch_5fmask',['GPU_ARCH_MASK',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3a57a3b40730a5af7ea3e13eb4bba56d82',1,'arm_compute']]],
-  ['grad_5fxy',['GRAD_XY',['../namespacearm__compute.xhtml#ae46abc5ecac309cbece5c06cb80daaf7a5515a637eda61b978e97adaa5d7629cc',1,'arm_compute']]]
+  ['grad_5fxy',['GRAD_XY',['../namespacearm__compute.xhtml#ae46abc5ecac309cbece5c06cb80daaf7a5515a637eda61b978e97adaa5d7629cc',1,'arm_compute']]],
+  ['greater',['Greater',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca8768a6821cd735aea4f5b0df88c1fc6a',1,'arm_compute']]],
+  ['greaterequal',['GreaterEqual',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca758b05d899def79c9eb864ad4f96be1f',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_7.html b/documentation/search/enumvalues_7.html
index ab72ef1..f75419f 100644
--- a/documentation/search/enumvalues_7.html
+++ b/documentation/search/enumvalues_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_7.js b/documentation/search/enumvalues_7.js
index ad4ee7c..a718ded 100644
--- a/documentation/search/enumvalues_7.js
+++ b/documentation/search/enumvalues_7.js
@@ -1,4 +1,9 @@
 var searchData=
 [
+  ['half_5faway_5ffrom_5fzero',['HALF_AWAY_FROM_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a0af811513148901478bd420235c48c6b',1,'arm_compute::utils::rounding']]],
+  ['half_5fdown',['HALF_DOWN',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a8f7b877b609236c678a778dd131ebcb6',1,'arm_compute::utils::rounding']]],
+  ['half_5feven',['HALF_EVEN',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101a29746b187c41c8e51b96a3104cbda3b6',1,'arm_compute::utils::rounding']]],
+  ['half_5fto_5fzero',['HALF_TO_ZERO',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101afe7ff9704b5494f69cd7ccd330bc3969',1,'arm_compute::utils::rounding']]],
+  ['half_5fup',['HALF_UP',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a5959c934b204c7bcb6766cfaea8ae101ae184ac539927e7effd9eae762e9f1904',1,'arm_compute::utils::rounding']]],
   ['height',['HEIGHT',['../namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_8.html b/documentation/search/enumvalues_8.html
index a0e8f1c..96b5b73 100644
--- a/documentation/search/enumvalues_8.html
+++ b/documentation/search/enumvalues_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_8.js b/documentation/search/enumvalues_8.js
index 7601790..2127b59 100644
--- a/documentation/search/enumvalues_8.js
+++ b/documentation/search/enumvalues_8.js
@@ -5,6 +5,6 @@
   ['in_5fmap_5f2d',['IN_MAP_2D',['../namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa6ff8bd96743aae9fd283cd822b84278e',1,'arm_compute']]],
   ['include_5fborder',['INCLUDE_BORDER',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a0e65ad13124ea2cb5e255b640464e35facdccee7243b006a86ce2e3f33795b5be',1,'arm_compute::test::PaddingCalculator']]],
   ['info',['INFO',['../namespacearm__compute_1_1logging.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a551b723eafd6a31d444fcb2f5920fbd3',1,'arm_compute::logging']]],
-  ['input',['Input',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a324118a6721dd6b8a9b9f4e327df2bf5',1,'arm_compute::graph::Input()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5d19c046f7c6ca24d067312183e8871eaa84cc046d48610b05c21fd3670d0c829',1,'arm_compute::test::validation::reference::INPUT()']]],
+  ['input',['INPUT',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5d19c046f7c6ca24d067312183e8871eaa84cc046d48610b05c21fd3670d0c829',1,'arm_compute::test::validation::reference::INPUT()'],['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a324118a6721dd6b8a9b9f4e327df2bf5',1,'arm_compute::graph::Input()']]],
   ['iyuv',['IYUV',['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ab08f0cb36474118c5bbc03b3a172a778',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_9.html b/documentation/search/enumvalues_9.html
index 9051459..2e532f4 100644
--- a/documentation/search/enumvalues_9.html
+++ b/documentation/search/enumvalues_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_a.html b/documentation/search/enumvalues_a.html
index f10160a..8486158 100644
--- a/documentation/search/enumvalues_a.html
+++ b/documentation/search/enumvalues_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_a.js b/documentation/search/enumvalues_a.js
index 879bf6e..bd6b0a3 100644
--- a/documentation/search/enumvalues_a.js
+++ b/documentation/search/enumvalues_a.js
@@ -7,6 +7,8 @@
   ['l2hys_5fnorm',['L2HYS_NORM',['../namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3ac9e68c0594494ec85805b225a7acb9c2',1,'arm_compute']]],
   ['l2norm',['L2NORM',['../namespacearm__compute.xhtml#a7b3ec6413f000b02fdb4e39a951d9f8aad927ac799e8b24f80fc80d89b2eb7131',1,'arm_compute']]],
   ['leaky_5frelu',['LEAKY_RELU',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaac7e80a3de04936f4e423e1b564fdca10',1,'arm_compute::ActivationLayerInfo']]],
+  ['less',['Less',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca1cfdf0e8d0c87a228c1f40d9bee7888b',1,'arm_compute']]],
+  ['lessequal',['LessEqual',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58cad3e6fdac55bb7b0edd7834c968ba1f38',1,'arm_compute']]],
   ['linear',['LINEAR',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046',1,'arm_compute::ActivationLayerInfo::LINEAR()'],['../namespacearm__compute.xhtml#a201391f6e13e2a1ac203256a77792718aaac544aacc3615aada24897a215f5046',1,'arm_compute::LINEAR()']]],
   ['logistic',['LOGISTIC',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d',1,'arm_compute::ActivationLayerInfo']]],
   ['lu_5fbounded_5frelu',['LU_BOUNDED_RELU',['../classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a',1,'arm_compute::ActivationLayerInfo']]]
diff --git a/documentation/search/enumvalues_b.html b/documentation/search/enumvalues_b.html
index 0e2cb48..3ac456a 100644
--- a/documentation/search/enumvalues_b.html
+++ b/documentation/search/enumvalues_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_b.js b/documentation/search/enumvalues_b.js
index fcae05d..ad470cc 100644
--- a/documentation/search/enumvalues_b.js
+++ b/documentation/search/enumvalues_b.js
@@ -1,12 +1,12 @@
 var searchData=
 [
   ['mali',['MALI',['../namespacearm__compute_1_1test_1_1framework.xhtml#aac6b258eb313f96447f4f0e273431005a53bc5501e639292688fa56780570a1c1',1,'arm_compute::test::framework']]],
-  ['max',['MAX',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()']]],
+  ['max',['MAX',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aea26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()'],['../namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93a26a4b44a837bf97b972628509912b4a5',1,'arm_compute::MAX()']]],
   ['mean_5fsum',['MEAN_SUM',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45bafc54513dae613e117ffc4169e48bfce5',1,'arm_compute']]],
   ['measurements',['MEASUREMENTS',['../namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a9632e44563b724240d9299f0ab14aae8',1,'arm_compute::test::framework']]],
   ['median',['MEDIAN',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a8ab0c3a037e882577dec378985477074',1,'arm_compute']]],
   ['midgard',['MIDGARD',['../namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38',1,'arm_compute']]],
-  ['min',['MIN',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653',1,'arm_compute']]],
+  ['min',['MIN',['../namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858ace31e2a082d17e038fcc6e3006166653',1,'arm_compute::MIN()'],['../namespacearm__compute.xhtml#a23d9f0c01c9e120dfb828ee922b7a8aeace31e2a082d17e038fcc6e3006166653',1,'arm_compute::MIN()']]],
   ['minimize',['MINIMIZE',['../namespacearm__compute.xhtml#a4c9101ca1a1f72f48efff28b4b9a6495a704bfa6c1ed5e479c8cfb5bdfc8cccda',1,'arm_compute']]],
   ['mul',['Mul',['../namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2',1,'arm_compute::graph']]]
 ];
diff --git a/documentation/search/enumvalues_c.html b/documentation/search/enumvalues_c.html
index 82ba68a..0f79745 100644
--- a/documentation/search/enumvalues_c.html
+++ b/documentation/search/enumvalues_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_c.js b/documentation/search/enumvalues_c.js
index 924aebf..f8cc0a9 100644
--- a/documentation/search/enumvalues_c.js
+++ b/documentation/search/enumvalues_c.js
@@ -11,6 +11,7 @@
   ['normalizationlayer',['NormalizationLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a227ecc6e858c8d1f61664f1967173bea',1,'arm_compute::graph']]],
   ['normalizeplanaryuvlayer',['NormalizePlanarYUVLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a7844e69eea1226939211d12a975aa512',1,'arm_compute::graph']]],
   ['not_5frun',['NOT_RUN',['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bad3cbb6cb9043ad908cdd5414236e6603',1,'arm_compute::test::framework::TestResult']]],
+  ['notequal',['NotEqual',['../namespacearm__compute.xhtml#a2d299363c9fc33334c571fa29ca4f58ca19bb0af2c3c530538cb41aff7f235b96',1,'arm_compute']]],
   ['nv12',['NV12',['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a202f5d8c2c70d31048154d8b8b28e755',1,'arm_compute']]],
   ['nv21',['NV21',['../namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a8e9f6aa1af7e0abbc7e64521e6ffe1b4',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_d.html b/documentation/search/enumvalues_d.html
index 8516692..ea3e08f 100644
--- a/documentation/search/enumvalues_d.html
+++ b/documentation/search/enumvalues_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_e.html b/documentation/search/enumvalues_e.html
index d95adb6..fcadce6 100644
--- a/documentation/search/enumvalues_e.html
+++ b/documentation/search/enumvalues_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/enumvalues_e.js b/documentation/search/enumvalues_e.js
index eea1fc4..1c280bd 100644
--- a/documentation/search/enumvalues_e.js
+++ b/documentation/search/enumvalues_e.js
@@ -10,5 +10,6 @@
   ['ppm',['PPM',['../namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a4bb1ebdeeb70354069bc644b9c94ee5f',1,'arm_compute::utils']]],
   ['precommit',['PRECOMMIT',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97',1,'arm_compute::test::framework']]],
   ['pretty',['PRETTY',['../namespacearm__compute_1_1test_1_1framework.xhtml#a043aa97de3c71ad015852f46ec4cc6ada2b908e3bfd5ebc739a3ce26d5045b76f',1,'arm_compute::test::framework']]],
-  ['priorboxlayer',['PriorBoxLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a77329845031ba38f828a884f40beb69c',1,'arm_compute::graph']]]
+  ['priorboxlayer',['PriorBoxLayer',['../namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a77329845031ba38f828a884f40beb69c',1,'arm_compute::graph']]],
+  ['prod',['PROD',['../namespacearm__compute.xhtml#a5827eb9cb394e74af87f74bd354fb45bac8074bb318fb85693233e64acc64c1ed',1,'arm_compute']]]
 ];
diff --git a/documentation/search/enumvalues_f.html b/documentation/search/enumvalues_f.html
index 1cced59..73c9882 100644
--- a/documentation/search/enumvalues_f.html
+++ b/documentation/search/enumvalues_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="enumvalues_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_0.html b/documentation/search/files_0.html
index 4f272b8..40cd455 100644
--- a/documentation/search/files_0.html
+++ b/documentation/search/files_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_1.html b/documentation/search/files_1.html
index dcce422..646d1f4 100644
--- a/documentation/search/files_1.html
+++ b/documentation/search/files_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_1.js b/documentation/search/files_1.js
index 147dd00..3fc89e9 100644
--- a/documentation/search/files_1.js
+++ b/documentation/search/files_1.js
@@ -5,7 +5,7 @@
   ['a32_5fsgemm_5f8x6_2ehpp',['a32_sgemm_8x6.hpp',['../a32__sgemm__8x6_8hpp.xhtml',1,'']]],
   ['a32_5ftranspose_5finterleave_5f8way_5f32bit_2ehpp',['a32_transpose_interleave_8way_32bit.hpp',['../a32__transpose__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['a53_2ecpp',['a53.cpp',['../a32__sgemm__8x6_2a53_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a53_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['a55_2ecpp',['a55.cpp',['../a55_8cpp.xhtml',1,'']]],
+  ['a55_2ecpp',['a55.cpp',['../a64__hybrid__s8s32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2a55_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55_8cpp.xhtml',1,'(Global Namespace)']]],
   ['a55r1_2ecpp',['a55r1.cpp',['../a32__sgemm__8x6_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2a55r1_8cpp.xhtml',1,'(Global Namespace)']]],
   ['a64_5fblock16_5finterleave4_5f8bit_2ehpp',['a64_block16_interleave4_8bit.hpp',['../a64__block16__interleave4__8bit_8hpp.xhtml',1,'']]],
   ['a64_5fgemm_5fs16_5f12x8_2ehpp',['a64_gemm_s16_12x8.hpp',['../a64__gemm__s16__12x8_8hpp.xhtml',1,'']]],
@@ -15,20 +15,25 @@
   ['a64_5fgemm_5fu8_5f12x8_2ehpp',['a64_gemm_u8_12x8.hpp',['../a64__gemm__u8__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fgemm_5fu8_5f4x4_2ehpp',['a64_gemm_u8_4x4.hpp',['../a64__gemm__u8__4x4_8hpp.xhtml',1,'']]],
   ['a64_5fhgemm_5f24x8_2ehpp',['a64_hgemm_24x8.hpp',['../a64__hgemm__24x8_8hpp.xhtml',1,'']]],
+  ['a64_5fhybrid_5fs8s32_5fdot_5f16x4_2ehpp',['a64_hybrid_s8s32_dot_16x4.hpp',['../a64__hybrid__s8s32__dot__16x4_8hpp.xhtml',1,'']]],
+  ['a64_5fhybrid_5fu8u32_5fdot_5f16x4_2ehpp',['a64_hybrid_u8u32_dot_16x4.hpp',['../a64__hybrid__u8u32__dot__16x4_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5f16bit_2ehpp',['a64_interleave_8way_16bit.hpp',['../a64__interleave__8way__16bit_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5f32bit_2ehpp',['a64_interleave_8way_32bit.hpp',['../a64__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['a64_5finterleave_5f8way_5fhalf_5fto_5ffloat_2ehpp',['a64_interleave_8way_half_to_float.hpp',['../a64__interleave__8way__half__to__float_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5ffloat_5f12x8_2ehpp',['a64_merge_float_12x8.hpp',['../a64__merge__float__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5ffloat_5fto_5fhalf_5f12x8_2ehpp',['a64_merge_float_to_half_12x8.hpp',['../a64__merge__float__to__half__12x8_8hpp.xhtml',1,'']]],
+  ['a64_5fmerge_5ffp32_5f12x8_2ehpp',['a64_merge_fp32_12x8.hpp',['../a64__merge__fp32__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5fhalf_5f24x8_2ehpp',['a64_merge_half_24x8.hpp',['../a64__merge__half__24x8_8hpp.xhtml',1,'']]],
   ['a64_5fmerge_5fint32_5f12x8_2ehpp',['a64_merge_int32_12x8.hpp',['../a64__merge__int32__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fsgemm_5f12x8_2ehpp',['a64_sgemm_12x8.hpp',['../a64__sgemm__12x8_8hpp.xhtml',1,'']]],
   ['a64_5fsgemm_5fnative_5f16x4_2ehpp',['a64_sgemm_native_16x4.hpp',['../a64__sgemm__native__16x4_8hpp.xhtml',1,'']]],
+  ['a64_5fsgemm_5fnativea_5fpretransposeb_5f16x4_2ehpp',['a64_sgemm_nativeA_pretransposeB_16x4.hpp',['../a64__sgemm__native_a__pretranspose_b__16x4_8hpp.xhtml',1,'']]],
   ['a64_5fsgemv_5fpretransposed_2ehpp',['a64_sgemv_pretransposed.hpp',['../a64__sgemv__pretransposed_8hpp.xhtml',1,'']]],
   ['a64_5fsgemv_5ftrans_2ehpp',['a64_sgemv_trans.hpp',['../a64__sgemv__trans_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5f16bit_2ehpp',['a64_transpose_interleave_12way_16bit.hpp',['../a64__transpose__interleave__12way__16bit_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f12way_5fhalf_5fto_5ffloat_2ehpp',['a64_transpose_interleave_12way_half_to_float.hpp',['../a64__transpose__interleave__12way__half__to__float_8hpp.xhtml',1,'']]],
   ['a64_5ftranspose_5finterleave_5f24way_5f16bit_2ehpp',['a64_transpose_interleave_24way_16bit.hpp',['../a64__transpose__interleave__24way__16bit_8hpp.xhtml',1,'']]],
+  ['abs_2eh',['abs.h',['../abs_8h.xhtml',1,'']]],
   ['absdiff_2ecl',['absdiff.cl',['../absdiff_8cl.xhtml',1,'']]],
   ['absolutedifference_2ecpp',['AbsoluteDifference.cpp',['../_c_l_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_absolute_difference_8cpp.xhtml',1,'(Global Namespace)']]],
   ['absolutedifference_2eh',['AbsoluteDifference.h',['../_absolute_difference_8h.xhtml',1,'']]],
@@ -49,13 +54,12 @@
   ['activationlayer_2eh',['ActivationLayer.h',['../_activation_layer_8h.xhtml',1,'']]],
   ['activationlayernode_2ecpp',['ActivationLayerNode.cpp',['../_activation_layer_node_8cpp.xhtml',1,'']]],
   ['activationlayernode_2eh',['ActivationLayerNode.h',['../_activation_layer_node_8h.xhtml',1,'']]],
-  ['add_2eh',['add.h',['../add_8h.xhtml',1,'']]],
+  ['add_2eh',['add.h',['../intrinsics_2add_8h.xhtml',1,'(Global Namespace)'],['../scalar_2add_8h.xhtml',1,'(Global Namespace)']]],
   ['algorithms_2eh',['Algorithms.h',['../_algorithms_8h.xhtml',1,'']]],
   ['allocator_2ecpp',['Allocator.cpp',['../_allocator_8cpp.xhtml',1,'']]],
   ['allocator_2eh',['Allocator.h',['../_allocator_8h.xhtml',1,'']]],
   ['and_2eh',['and.h',['../and_8h.xhtml',1,'']]],
-  ['arithmetic_5fop_2ecl',['arithmetic_op.cl',['../arithmetic__op_8cl.xhtml',1,'']]],
-  ['arithmetic_5fop_5fquantized_2ecl',['arithmetic_op_quantized.cl',['../arithmetic__op__quantized_8cl.xhtml',1,'']]],
+  ['argminmax_2ecpp',['ArgMinMax.cpp',['../_c_l_2_arg_min_max_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_arg_min_max_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmeticaddition_2ecpp',['ArithmeticAddition.cpp',['../_c_l_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)'],['../_g_l_e_s___c_o_m_p_u_t_e_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_arithmetic_addition_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmeticdivision_2ecpp',['ArithmeticDivision.cpp',['../_c_l_2_arithmetic_division_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_arithmetic_division_8cpp.xhtml',1,'(Global Namespace)']]],
   ['arithmeticdivision_2eh',['ArithmeticDivision.h',['../_arithmetic_division_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_10.html b/documentation/search/files_10.html
index d2187f6..42c42d6 100644
--- a/documentation/search/files_10.html
+++ b/documentation/search/files_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_11.html b/documentation/search/files_11.html
index a5e6888..4ea3d72 100644
--- a/documentation/search/files_11.html
+++ b/documentation/search/files_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_11.js b/documentation/search/files_11.js
index 9c22c13..4236cb6 100644
--- a/documentation/search/files_11.js
+++ b/documentation/search/files_11.js
@@ -1,5 +1,9 @@
 var searchData=
 [
+  ['random_2eh',['Random.h',['../_random_8h.xhtml',1,'']]],
+  ['range_2ecl',['range.cl',['../range_8cl.xhtml',1,'']]],
+  ['range_2ecpp',['Range.cpp',['../_c_l_2_range_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_range_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_range_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['range_2eh',['Range.h',['../_range_8h.xhtml',1,'']]],
   ['rangedataset_2eh',['RangeDataset.h',['../_range_dataset_8h.xhtml',1,'']]],
   ['rawlutaccessor_2eh',['RawLutAccessor.h',['../_raw_lut_accessor_8h.xhtml',1,'']]],
   ['rawtensor_2ecpp',['RawTensor.cpp',['../_raw_tensor_8cpp.xhtml',1,'']]],
@@ -17,12 +21,18 @@
   ['reorglayer_2eh',['ReorgLayer.h',['../_reorg_layer_8h.xhtml',1,'']]],
   ['reorglayernode_2ecpp',['ReorgLayerNode.cpp',['../_reorg_layer_node_8cpp.xhtml',1,'']]],
   ['reorglayernode_2eh',['ReorgLayerNode.h',['../_reorg_layer_node_8h.xhtml',1,'']]],
+  ['repeat_2eh',['repeat.h',['../repeat_8h.xhtml',1,'']]],
+  ['requires_2eh',['Requires.h',['../_requires_8h.xhtml',1,'']]],
   ['reshape_5flayer_2ecl',['reshape_layer.cl',['../reshape__layer_8cl.xhtml',1,'']]],
   ['reshapelayer_2ecpp',['ReshapeLayer.cpp',['../src_2graph_2nodes_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_c_l_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_n_e_o_n_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_c_l_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_n_e_o_n_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2reference_2_reshape_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['reshapelayer_2eh',['ReshapeLayer.h',['../_reshape_layer_8h.xhtml',1,'']]],
   ['reshapelayernode_2eh',['ReshapeLayerNode.h',['../_reshape_layer_node_8h.xhtml',1,'']]],
   ['resizelayernode_2ecpp',['ResizeLayerNode.cpp',['../_resize_layer_node_8cpp.xhtml',1,'']]],
   ['resizelayernode_2eh',['ResizeLayerNode.h',['../_resize_layer_node_8h.xhtml',1,'']]],
+  ['rev64_2eh',['rev64.h',['../rev64_8h.xhtml',1,'']]],
+  ['reverse_2ecl',['reverse.cl',['../reverse_8cl.xhtml',1,'']]],
+  ['reverse_2ecpp',['Reverse.cpp',['../_c_l_2_reverse_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_reverse_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_reverse_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['reverse_2eh',['Reverse.h',['../_reverse_8h.xhtml',1,'']]],
   ['rnnlayer_2ecpp',['RNNLayer.cpp',['../_c_l_2_r_n_n_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_r_n_n_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['roi_5falign_5flayer_2ecl',['roi_align_layer.cl',['../roi__align__layer_8cl.xhtml',1,'']]],
   ['roi_5fpooling_5flayer_2ecl',['roi_pooling_layer.cl',['../roi__pooling__layer_8cl.xhtml',1,'']]],
@@ -32,5 +42,6 @@
   ['roialignlayernode_2eh',['ROIAlignLayerNode.h',['../_r_o_i_align_layer_node_8h.xhtml',1,'']]],
   ['roipoolinglayer_2ecpp',['ROIPoolingLayer.cpp',['../_c_l_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_r_o_i_pooling_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['rounding_2ecpp',['Rounding.cpp',['../_rounding_8cpp.xhtml',1,'']]],
-  ['rounding_2eh',['Rounding.h',['../_rounding_8h.xhtml',1,'']]]
+  ['rounding_2eh',['Rounding.h',['../_rounding_8h.xhtml',1,'(Global Namespace)'],['../utils_2misc_2_rounding_8h.xhtml',1,'(Global Namespace)']]],
+  ['rsqrtlayer_2ecpp',['RsqrtLayer.cpp',['../_rsqrt_layer_8cpp.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_12.html b/documentation/search/files_12.html
index 0bfddb7..42c849c 100644
--- a/documentation/search/files_12.html
+++ b/documentation/search/files_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_12.js b/documentation/search/files_12.js
index 67a382b..a9b459d 100644
--- a/documentation/search/files_12.js
+++ b/documentation/search/files_12.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['saturatecast_2eh',['SaturateCast.h',['../_saturate_cast_8h.xhtml',1,'']]],
+  ['scalar_2eh',['scalar.h',['../scalar_8h.xhtml',1,'']]],
   ['scale_2ecl',['scale.cl',['../scale_8cl.xhtml',1,'']]],
   ['scale_2ecpp',['Scale.cpp',['../benchmark_2_c_l_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_scale_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_scale_8cpp.xhtml',1,'(Global Namespace)']]],
   ['scale_2eh',['Scale.h',['../_scale_8h.xhtml',1,'']]],
@@ -12,7 +14,11 @@
   ['scheduler_2eh',['Scheduler.h',['../_scheduler_8h.xhtml',1,'']]],
   ['schedulertimer_2ecpp',['SchedulerTimer.cpp',['../_scheduler_timer_8cpp.xhtml',1,'']]],
   ['schedulertimer_2eh',['SchedulerTimer.h',['../_scheduler_timer_8h.xhtml',1,'']]],
+  ['select_2ecl',['select.cl',['../select_8cl.xhtml',1,'']]],
+  ['select_2ecpp',['Select.cpp',['../_c_l_2_select_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_select_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_select_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['select_2eh',['Select.h',['../_select_8h.xhtml',1,'']]],
   ['semaphore_2eh',['Semaphore.h',['../_semaphore_8h.xhtml',1,'']]],
+  ['setlane_2eh',['setlane.h',['../setlane_8h.xhtml',1,'']]],
   ['shapecalculator_2eh',['ShapeCalculator.h',['../_shape_calculator_8h.xhtml',1,'']]],
   ['simpleoption_2eh',['SimpleOption.h',['../_simple_option_8h.xhtml',1,'']]],
   ['simpletensor_2eh',['SimpleTensor.h',['../_simple_tensor_8h.xhtml',1,'']]],
@@ -21,7 +27,7 @@
   ['singlethreadscheduler_2eh',['SingleThreadScheduler.h',['../_single_thread_scheduler_8h.xhtml',1,'']]],
   ['singletondataset_2eh',['SingletonDataset.h',['../_singleton_dataset_8h.xhtml',1,'']]],
   ['size2d_2eh',['Size2D.h',['../_size2_d_8h.xhtml',1,'']]],
-  ['slice_2ecpp',['Slice.cpp',['../_slice_8cpp.xhtml',1,'']]],
+  ['slice_2ecpp',['Slice.cpp',['../_c_l_2_slice_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_slice_8cpp.xhtml',1,'(Global Namespace)']]],
   ['slice_5fops_2ecl',['slice_ops.cl',['../slice__ops_8cl.xhtml',1,'']]],
   ['slicelayernode_2ecpp',['SliceLayerNode.cpp',['../_slice_layer_node_8cpp.xhtml',1,'']]],
   ['slicelayernode_2eh',['SliceLayerNode.h',['../_slice_layer_node_8h.xhtml',1,'']]],
@@ -40,11 +46,14 @@
   ['spacetobatch_2ecpp',['SpaceToBatch.cpp',['../_space_to_batch_8cpp.xhtml',1,'']]],
   ['spacetobatch_2eh',['SpaceToBatch.h',['../_space_to_batch_8h.xhtml',1,'']]],
   ['spacetobatchlayer_2ecpp',['SpaceToBatchLayer.cpp',['../_space_to_batch_layer_8cpp.xhtml',1,'']]],
-  ['split_2ecpp',['Split.cpp',['../_split_8cpp.xhtml',1,'']]],
+  ['split_2ecpp',['Split.cpp',['../_c_l_2_split_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_split_8cpp.xhtml',1,'(Global Namespace)']]],
   ['splitlayernode_2ecpp',['SplitLayerNode.cpp',['../_split_layer_node_8cpp.xhtml',1,'']]],
   ['splitlayernode_2eh',['SplitLayerNode.h',['../_split_layer_node_8h.xhtml',1,'']]],
   ['splitlayersubtensormutator_2ecpp',['SplitLayerSubTensorMutator.cpp',['../_split_layer_sub_tensor_mutator_8cpp.xhtml',1,'']]],
   ['splitlayersubtensormutator_2eh',['SplitLayerSubTensorMutator.h',['../_split_layer_sub_tensor_mutator_8h.xhtml',1,'']]],
+  ['stack_5flayer_2ecl',['stack_layer.cl',['../stack__layer_8cl.xhtml',1,'']]],
+  ['stacklayer_2ecpp',['StackLayer.cpp',['../_c_l_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_stack_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['stacklayer_2eh',['StackLayer.h',['../_stack_layer_8h.xhtml',1,'']]],
   ['std_5ftransforms_5ffixed_2ehpp',['std_transforms_fixed.hpp',['../std__transforms__fixed_8hpp.xhtml',1,'']]],
   ['std_5ftransforms_5fsve_2ehpp',['std_transforms_sve.hpp',['../std__transforms__sve_8hpp.xhtml',1,'']]],
   ['stdprinter_2eh',['StdPrinter.h',['../_std_printer_8h.xhtml',1,'']]],
@@ -52,14 +61,16 @@
   ['store_2eh',['store.h',['../store_8h.xhtml',1,'']]],
   ['stream_2ecpp',['Stream.cpp',['../_stream_8cpp.xhtml',1,'']]],
   ['stream_2eh',['Stream.h',['../_stream_8h.xhtml',1,'']]],
-  ['stridedslice_2ecpp',['StridedSlice.cpp',['../_strided_slice_8cpp.xhtml',1,'']]],
+  ['stridedslice_2ecpp',['StridedSlice.cpp',['../_c_l_2_strided_slice_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_strided_slice_8cpp.xhtml',1,'(Global Namespace)']]],
   ['strides_2eh',['Strides.h',['../_strides_8h.xhtml',1,'']]],
+  ['sub_2eh',['sub.h',['../sub_8h.xhtml',1,'']]],
   ['substream_2ecpp',['SubStream.cpp',['../_sub_stream_8cpp.xhtml',1,'']]],
   ['substream_2eh',['SubStream.h',['../_sub_stream_8h.xhtml',1,'']]],
   ['subtensor_2ecpp',['SubTensor.cpp',['../_sub_tensor_8cpp.xhtml',1,'']]],
   ['subtensor_2eh',['SubTensor.h',['../_sub_tensor_8h.xhtml',1,'']]],
   ['subtensorinfo_2ecpp',['SubTensorInfo.cpp',['../_sub_tensor_info_8cpp.xhtml',1,'']]],
   ['subtensorinfo_2eh',['SubTensorInfo.h',['../_sub_tensor_info_8h.xhtml',1,'']]],
+  ['sve_5fhybrid_5ffp32_5fmla_5f4vlx4_2ehpp',['sve_hybrid_fp32_mla_4VLx4.hpp',['../sve__hybrid__fp32__mla__4_v_lx4_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5f32bit_2ehpp',['sve_interleave_8way_32bit.hpp',['../sve__interleave__8way__32bit_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5fblock2_5f32bit_2ehpp',['sve_interleave_8way_block2_32bit.hpp',['../sve__interleave__8way__block2__32bit_8hpp.xhtml',1,'']]],
   ['sve_5finterleave_5f8way_5fblock4_5f8bit_2ehpp',['sve_interleave_8way_block4_8bit.hpp',['../sve__interleave__8way__block4__8bit_8hpp.xhtml',1,'']]],
@@ -68,5 +79,10 @@
   ['sve_5finterleaved_5fs8s32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_s8s32_dot_3VLx8.hpp',['../sve__interleaved__s8s32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5finterleaved_5fu8u32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_u8u32_dot_3VLx8.hpp',['../sve__interleaved__u8u32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
   ['sve_5fmerge_5ffp32_5f2vlx8_2ehpp',['sve_merge_fp32_2VLx8.hpp',['../sve__merge__fp32__2_v_lx8_8hpp.xhtml',1,'']]],
-  ['sve_5fmerge_5ffp32_5f3vlx8_2ehpp',['sve_merge_fp32_3VLx8.hpp',['../sve__merge__fp32__3_v_lx8_8hpp.xhtml',1,'']]]
+  ['sve_5fmerge_5ffp32_5f3vlx8_2ehpp',['sve_merge_fp32_3VLx8.hpp',['../sve__merge__fp32__3_v_lx8_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5ffp32_5fmla_5f4vlx4_2ehpp',['sve_native_fp32_mla_4VLx4.hpp',['../sve__native__fp32__mla__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5fs8s32_5fdot_5f4vlx4_2ehpp',['sve_native_s8s32_dot_4VLx4.hpp',['../sve__native__s8s32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fnative_5fu8u32_5fdot_5f4vlx4_2ehpp',['sve_native_u8u32_dot_4VLx4.hpp',['../sve__native__u8u32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_fp32_mla_1VLx4.hpp',['../sve__small_k__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
+  ['sve_5fsmallk_5fhybrid_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_hybrid_fp32_mla_1VLx4.hpp',['../sve__small_k__hybrid__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_13.html b/documentation/search/files_13.html
index 09d9adf..d789562 100644
--- a/documentation/search/files_13.html
+++ b/documentation/search/files_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_13.js b/documentation/search/files_13.js
index 9b31928..e21c1c6 100644
--- a/documentation/search/files_13.js
+++ b/documentation/search/files_13.js
@@ -3,6 +3,7 @@
   ['tablelookup_2ecl',['tablelookup.cl',['../tablelookup_8cl.xhtml',1,'']]],
   ['tablelookup_2ecpp',['TableLookup.cpp',['../_c_l_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_table_lookup_8cpp.xhtml',1,'(Global Namespace)']]],
   ['tablelookup_2eh',['TableLookup.h',['../_table_lookup_8h.xhtml',1,'']]],
+  ['tanh_2eh',['tanh.h',['../tanh_8h.xhtml',1,'']]],
   ['tensor_2ecpp',['Tensor.cpp',['../graph_2_tensor_8cpp.xhtml',1,'(Global Namespace)'],['../runtime_2_tensor_8cpp.xhtml',1,'(Global Namespace)']]],
   ['tensor_2eh',['Tensor.h',['../graph_2_tensor_8h.xhtml',1,'(Global Namespace)'],['../runtime_2_tensor_8h.xhtml',1,'(Global Namespace)']]],
   ['tensor_5ftransform_2ecpp',['tensor_transform.cpp',['../tensor__transform_8cpp.xhtml',1,'']]],
@@ -23,11 +24,15 @@
   ['threshold_2ecl',['threshold.cl',['../threshold_8cl.xhtml',1,'']]],
   ['threshold_2ecpp',['Threshold.cpp',['../_c_l_2_threshold_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_threshold_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_threshold_8cpp.xhtml',1,'(Global Namespace)']]],
   ['threshold_2eh',['Threshold.h',['../_threshold_8h.xhtml',1,'']]],
+  ['tile_2ecl',['tile.cl',['../tile_8cl.xhtml',1,'']]],
+  ['tile_2ecpp',['Tile.cpp',['../_c_l_2_tile_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_tile_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_tile_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['tile_2eh',['Tile.h',['../_tile_8h.xhtml',1,'']]],
   ['toggleoption_2eh',['ToggleOption.h',['../_toggle_option_8h.xhtml',1,'']]],
   ['toolchainsupport_2eh',['ToolchainSupport.h',['../_toolchain_support_8h.xhtml',1,'']]],
+  ['topkv_2ecpp',['TopKV.cpp',['../_top_k_v_8cpp.xhtml',1,'']]],
   ['topologicalsort_2ecpp',['TopologicalSort.cpp',['../_topological_sort_8cpp.xhtml',1,'']]],
   ['topologicalsort_2eh',['TopologicalSort.h',['../_topological_sort_8h.xhtml',1,'']]],
-  ['traits_2eh',['traits.h',['../traits_8h.xhtml',1,'']]],
+  ['traits_2eh',['traits.h',['../_n_e_o_n_2wrapper_2traits_8h.xhtml',1,'(Global Namespace)'],['../utils_2misc_2traits_8h.xhtml',1,'(Global Namespace)']]],
   ['transform_2ehpp',['transform.hpp',['../transform_8hpp.xhtml',1,'']]],
   ['transpose_2ecl',['transpose.cl',['../transpose_8cl.xhtml',1,'']]],
   ['transpose_2ecpp',['Transpose.cpp',['../benchmark_2_c_l_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_transpose_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_transpose_8cpp.xhtml',1,'(Global Namespace)']]],
diff --git a/documentation/search/files_14.html b/documentation/search/files_14.html
index dd15fd2..54b5327 100644
--- a/documentation/search/files_14.html
+++ b/documentation/search/files_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_14.js b/documentation/search/files_14.js
index eaf6c33..af0c9f3 100644
--- a/documentation/search/files_14.js
+++ b/documentation/search/files_14.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['unstack_2ecpp',['Unstack.cpp',['../_c_l_2_unstack_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_unstack_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_unstack_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['unstack_2eh',['Unstack.h',['../_unstack_8h.xhtml',1,'']]],
   ['upsample_2ecpp',['Upsample.cpp',['../_upsample_8cpp.xhtml',1,'']]],
   ['upsample_5flayer_2ecl',['upsample_layer.cl',['../upsample__layer_8cl.xhtml',1,'']]],
   ['upsamplelayer_2ecpp',['UpsampleLayer.cpp',['../_c_l_2_upsample_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_upsample_layer_8cpp.xhtml',1,'(Global Namespace)']]],
diff --git a/documentation/search/files_15.html b/documentation/search/files_15.html
index 2af1ae6..c6f71e4 100644
--- a/documentation/search/files_15.html
+++ b/documentation/search/files_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_16.html b/documentation/search/files_16.html
index 97af54d..25376d0 100644
--- a/documentation/search/files_16.html
+++ b/documentation/search/files_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_17.html b/documentation/search/files_17.html
index d9d16bc..df054b2 100644
--- a/documentation/search/files_17.html
+++ b/documentation/search/files_17.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_17.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_18.html b/documentation/search/files_18.html
index 040f9e4..c2f360a 100644
--- a/documentation/search/files_18.html
+++ b/documentation/search/files_18.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_18.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_2.html b/documentation/search/files_2.html
index d5c6c3b..9e47a77 100644
--- a/documentation/search/files_2.html
+++ b/documentation/search/files_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_2.js b/documentation/search/files_2.js
index ffb4752..97fe936 100644
--- a/documentation/search/files_2.js
+++ b/documentation/search/files_2.js
@@ -13,6 +13,7 @@
   ['batchtospacelayer_2eh',['BatchToSpaceLayer.h',['../_batch_to_space_layer_8h.xhtml',1,'']]],
   ['bifrosttuner_2ecpp',['BifrostTuner.cpp',['../_bifrost_tuner_8cpp.xhtml',1,'']]],
   ['bifrosttuner_2eh',['BifrostTuner.h',['../_bifrost_tuner_8h.xhtml',1,'']]],
+  ['bit_5fops_2eh',['bit_ops.h',['../bit__ops_8h.xhtml',1,'']]],
   ['bitwise_5fop_2ecl',['bitwise_op.cl',['../bitwise__op_8cl.xhtml',1,'']]],
   ['bitwiseand_2ecpp',['BitwiseAnd.cpp',['../_c_l_2_bitwise_and_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_bitwise_and_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_bitwise_and_8cpp.xhtml',1,'(Global Namespace)']]],
   ['bitwiseand_2eh',['BitwiseAnd.h',['../_bitwise_and_8h.xhtml',1,'']]],
@@ -33,5 +34,6 @@
   ['boundingboxtransformlayernode_2eh',['BoundingBoxTransformLayerNode.h',['../_bounding_box_transform_layer_node_8h.xhtml',1,'']]],
   ['box3x3_2ecpp',['Box3x3.cpp',['../_c_l_2_box3x3_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_box3x3_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_box3x3_8cpp.xhtml',1,'(Global Namespace)']]],
   ['box3x3_2eh',['Box3x3.h',['../_box3x3_8h.xhtml',1,'']]],
+  ['bsl_2eh',['bsl.h',['../bsl_8h.xhtml',1,'']]],
   ['buffer_5fmanager_2ehpp',['buffer_manager.hpp',['../buffer__manager_8hpp.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_3.html b/documentation/search/files_3.html
index d5a9528..167679b 100644
--- a/documentation/search/files_3.html
+++ b/documentation/search/files_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_3.js b/documentation/search/files_3.js
index 9750fe2..5e17b0c 100644
--- a/documentation/search/files_3.js
+++ b/documentation/search/files_3.js
@@ -5,7 +5,11 @@
   ['cannyedgedetector_2ecpp',['CannyEdgeDetector.cpp',['../_canny_edge_detector_8cpp.xhtml',1,'']]],
   ['cannyedgedetector_2eh',['CannyEdgeDetector.h',['../_canny_edge_detector_8h.xhtml',1,'']]],
   ['cartesianproductdataset_2eh',['CartesianProductDataset.h',['../_cartesian_product_dataset_8h.xhtml',1,'']]],
+  ['cast_2ecpp',['Cast.cpp',['../_cast_8cpp.xhtml',1,'']]],
   ['cast_2eh',['Cast.h',['../_cast_8h.xhtml',1,'']]],
+  ['ceq_2eh',['ceq.h',['../ceq_8h.xhtml',1,'']]],
+  ['cge_2eh',['cge.h',['../cge_8h.xhtml',1,'']]],
+  ['cgt_2eh',['cgt.h',['../cgt_8h.xhtml',1,'']]],
   ['channel_5fcombine_2ecl',['channel_combine.cl',['../channel__combine_8cl.xhtml',1,'']]],
   ['channel_5fextract_2ecl',['channel_extract.cl',['../channel__extract_8cl.xhtml',1,'']]],
   ['channel_5fshuffle_2ecl',['channel_shuffle.cl',['../channel__shuffle_8cl.xhtml',1,'']]],
@@ -33,18 +37,8 @@
   ['clactivationlayer_2eh',['CLActivationLayer.h',['../_c_l_activation_layer_8h.xhtml',1,'']]],
   ['clactivationlayerkernel_2ecpp',['CLActivationLayerKernel.cpp',['../_c_l_activation_layer_kernel_8cpp.xhtml',1,'']]],
   ['clactivationlayerkernel_2eh',['CLActivationLayerKernel.h',['../_c_l_activation_layer_kernel_8h.xhtml',1,'']]],
-  ['clarithmeticaddition_2ecpp',['CLArithmeticAddition.cpp',['../_c_l_arithmetic_addition_8cpp.xhtml',1,'']]],
-  ['clarithmeticaddition_2eh',['CLArithmeticAddition.h',['../_c_l_arithmetic_addition_8h.xhtml',1,'']]],
-  ['clarithmeticadditionkernel_2ecpp',['CLArithmeticAdditionKernel.cpp',['../_c_l_arithmetic_addition_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticadditionkernel_2eh',['CLArithmeticAdditionKernel.h',['../_c_l_arithmetic_addition_kernel_8h.xhtml',1,'']]],
-  ['clarithmeticdivision_2ecpp',['CLArithmeticDivision.cpp',['../_c_l_arithmetic_division_8cpp.xhtml',1,'']]],
-  ['clarithmeticdivision_2eh',['CLArithmeticDivision.h',['../_c_l_arithmetic_division_8h.xhtml',1,'']]],
-  ['clarithmeticdivisionkernel_2ecpp',['CLArithmeticDivisionKernel.cpp',['../_c_l_arithmetic_division_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticdivisionkernel_2eh',['CLArithmeticDivisionKernel.h',['../_c_l_arithmetic_division_kernel_8h.xhtml',1,'']]],
-  ['clarithmeticsubtraction_2ecpp',['CLArithmeticSubtraction.cpp',['../_c_l_arithmetic_subtraction_8cpp.xhtml',1,'']]],
-  ['clarithmeticsubtraction_2eh',['CLArithmeticSubtraction.h',['../_c_l_arithmetic_subtraction_8h.xhtml',1,'']]],
-  ['clarithmeticsubtractionkernel_2ecpp',['CLArithmeticSubtractionKernel.cpp',['../_c_l_arithmetic_subtraction_kernel_8cpp.xhtml',1,'']]],
-  ['clarithmeticsubtractionkernel_2eh',['CLArithmeticSubtractionKernel.h',['../_c_l_arithmetic_subtraction_kernel_8h.xhtml',1,'']]],
+  ['clargminmaxlayer_2ecpp',['CLArgMinMaxLayer.cpp',['../_c_l_arg_min_max_layer_8cpp.xhtml',1,'']]],
+  ['clargminmaxlayer_2eh',['CLArgMinMaxLayer.h',['../_c_l_arg_min_max_layer_8h.xhtml',1,'']]],
   ['clarray_2eh',['CLArray.h',['../_c_l_array_8h.xhtml',1,'']]],
   ['clarrayaccessor_2eh',['CLArrayAccessor.h',['../_c_l_array_accessor_8h.xhtml',1,'']]],
   ['clbatchnormalizationlayer_2ecpp',['CLBatchNormalizationLayer.cpp',['../_c_l_batch_normalization_layer_8cpp.xhtml',1,'']]],
@@ -85,6 +79,8 @@
   ['clcannyedge_2eh',['CLCannyEdge.h',['../_c_l_canny_edge_8h.xhtml',1,'']]],
   ['clcannyedgekernel_2ecpp',['CLCannyEdgeKernel.cpp',['../_c_l_canny_edge_kernel_8cpp.xhtml',1,'']]],
   ['clcannyedgekernel_2eh',['CLCannyEdgeKernel.h',['../_c_l_canny_edge_kernel_8h.xhtml',1,'']]],
+  ['clcast_2ecpp',['CLCast.cpp',['../_c_l_cast_8cpp.xhtml',1,'']]],
+  ['clcast_2eh',['CLCast.h',['../_c_l_cast_8h.xhtml',1,'']]],
   ['clchannelcombine_2ecpp',['CLChannelCombine.cpp',['../_c_l_channel_combine_8cpp.xhtml',1,'']]],
   ['clchannelcombine_2eh',['CLChannelCombine.h',['../_c_l_channel_combine_8h.xhtml',1,'']]],
   ['clchannelcombinekernel_2ecpp',['CLChannelCombineKernel.cpp',['../_c_l_channel_combine_kernel_8cpp.xhtml',1,'']]],
@@ -103,6 +99,10 @@
   ['clcolorconvert_2eh',['CLColorConvert.h',['../_c_l_color_convert_8h.xhtml',1,'']]],
   ['clcolorconvertkernel_2ecpp',['CLColorConvertKernel.cpp',['../_c_l_color_convert_kernel_8cpp.xhtml',1,'']]],
   ['clcolorconvertkernel_2eh',['CLColorConvertKernel.h',['../_c_l_color_convert_kernel_8h.xhtml',1,'']]],
+  ['clcomparison_2ecpp',['CLComparison.cpp',['../_c_l_comparison_8cpp.xhtml',1,'']]],
+  ['clcomparison_2eh',['CLComparison.h',['../_c_l_comparison_8h.xhtml',1,'']]],
+  ['clcomparisonkernel_2ecpp',['CLComparisonKernel.cpp',['../_c_l_comparison_kernel_8cpp.xhtml',1,'']]],
+  ['clcomparisonkernel_2eh',['CLComparisonKernel.h',['../_c_l_comparison_kernel_8h.xhtml',1,'']]],
   ['clcomputeallanchors_2ecpp',['CLComputeAllAnchors.cpp',['../_c_l_compute_all_anchors_8cpp.xhtml',1,'']]],
   ['clcomputeallanchors_2eh',['CLComputeAllAnchors.h',['../_c_l_compute_all_anchors_8h.xhtml',1,'']]],
   ['clconcatenatelayer_2ecpp',['CLConcatenateLayer.cpp',['../_c_l_concatenate_layer_8cpp.xhtml',1,'']]],
@@ -141,14 +141,16 @@
   ['cldepthwiseconvolutionlayer3x3nchwkernel_2eh',['CLDepthwiseConvolutionLayer3x3NCHWKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer3x3nhwckernel_2ecpp',['CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwiseconvolutionlayer3x3nhwckernel_2eh',['CLDepthwiseConvolutionLayer3x3NHWCKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8h.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8cpp.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8h.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8cpp.xhtml',1,'']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseim2colkernel_2ecpp',['CLDepthwiseIm2ColKernel.cpp',['../_c_l_depthwise_im2_col_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwiseim2colkernel_2eh',['CLDepthwiseIm2ColKernel.h',['../_c_l_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
   ['cldepthwiseseparableconvolutionlayer_2ecpp',['CLDepthwiseSeparableConvolutionLayer.cpp',['../_c_l_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
   ['cldepthwiseseparableconvolutionlayer_2eh',['CLDepthwiseSeparableConvolutionLayer.h',['../_c_l_depthwise_separable_convolution_layer_8h.xhtml',1,'']]],
   ['cldepthwisevectortotensorkernel_2ecpp',['CLDepthwiseVectorToTensorKernel.cpp',['../_c_l_depthwise_vector_to_tensor_kernel_8cpp.xhtml',1,'']]],
   ['cldepthwisevectortotensorkernel_2eh',['CLDepthwiseVectorToTensorKernel.h',['../_c_l_depthwise_vector_to_tensor_kernel_8h.xhtml',1,'']]],
-  ['cldepthwiseweightsreshapekernel_2ecpp',['CLDepthwiseWeightsReshapeKernel.cpp',['../_c_l_depthwise_weights_reshape_kernel_8cpp.xhtml',1,'']]],
-  ['cldepthwiseweightsreshapekernel_2eh',['CLDepthwiseWeightsReshapeKernel.h',['../_c_l_depthwise_weights_reshape_kernel_8h.xhtml',1,'']]],
   ['cldequantizationlayer_2ecpp',['CLDequantizationLayer.cpp',['../_c_l_dequantization_layer_8cpp.xhtml',1,'']]],
   ['cldequantizationlayer_2eh',['CLDequantizationLayer.h',['../_c_l_dequantization_layer_8h.xhtml',1,'']]],
   ['cldequantizationlayerkernel_2ecpp',['CLDequantizationLayerKernel.cpp',['../_c_l_dequantization_layer_kernel_8cpp.xhtml',1,'']]],
@@ -171,6 +173,14 @@
   ['cldirectconvolutionoutputstagekernel_2ecpp',['CLDirectConvolutionOutputStageKernel.cpp',['../_c_l_direct_convolution_output_stage_kernel_8cpp.xhtml',1,'']]],
   ['cldistribution1d_2ecpp',['CLDistribution1D.cpp',['../_c_l_distribution1_d_8cpp.xhtml',1,'']]],
   ['cldistribution1d_2eh',['CLDistribution1D.h',['../_c_l_distribution1_d_8h.xhtml',1,'']]],
+  ['clelementwiseoperationkernel_2ecpp',['CLElementwiseOperationKernel.cpp',['../_c_l_elementwise_operation_kernel_8cpp.xhtml',1,'']]],
+  ['clelementwiseoperationkernel_2eh',['CLElementwiseOperationKernel.h',['../_c_l_elementwise_operation_kernel_8h.xhtml',1,'']]],
+  ['clelementwiseoperations_2ecpp',['CLElementwiseOperations.cpp',['../_c_l_elementwise_operations_8cpp.xhtml',1,'']]],
+  ['clelementwiseoperations_2eh',['CLElementwiseOperations.h',['../_c_l_elementwise_operations_8h.xhtml',1,'']]],
+  ['clelementwiseunarylayer_2ecpp',['CLElementWiseUnaryLayer.cpp',['../_c_l_element_wise_unary_layer_8cpp.xhtml',1,'']]],
+  ['clelementwiseunarylayer_2eh',['CLElementWiseUnaryLayer.h',['../_c_l_element_wise_unary_layer_8h.xhtml',1,'']]],
+  ['clelementwiseunarylayerkernel_2ecpp',['CLElementWiseUnaryLayerKernel.cpp',['../_c_l_element_wise_unary_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clelementwiseunarylayerkernel_2eh',['CLElementWiseUnaryLayerKernel.h',['../_c_l_element_wise_unary_layer_kernel_8h.xhtml',1,'']]],
   ['clequalizehistogram_2ecpp',['CLEqualizeHistogram.cpp',['../_c_l_equalize_histogram_8cpp.xhtml',1,'']]],
   ['clequalizehistogram_2eh',['CLEqualizeHistogram.h',['../_c_l_equalize_histogram_8h.xhtml',1,'']]],
   ['clerode_2ecpp',['CLErode.cpp',['../_c_l_erode_8cpp.xhtml',1,'']]],
@@ -202,6 +212,10 @@
   ['clfusebatchnormalization_2eh',['CLFuseBatchNormalization.h',['../_c_l_fuse_batch_normalization_8h.xhtml',1,'']]],
   ['clfusebatchnormalizationkernel_2ecpp',['CLFuseBatchNormalizationKernel.cpp',['../_c_l_fuse_batch_normalization_kernel_8cpp.xhtml',1,'']]],
   ['clfusebatchnormalizationkernel_2eh',['CLFuseBatchNormalizationKernel.h',['../_c_l_fuse_batch_normalization_kernel_8h.xhtml',1,'']]],
+  ['clgather_2ecpp',['CLGather.cpp',['../_c_l_gather_8cpp.xhtml',1,'']]],
+  ['clgather_2eh',['CLGather.h',['../_c_l_gather_8h.xhtml',1,'']]],
+  ['clgatherkernel_2ecpp',['CLGatherKernel.cpp',['../_c_l_gather_kernel_8cpp.xhtml',1,'']]],
+  ['clgatherkernel_2eh',['CLGatherKernel.h',['../_c_l_gather_kernel_8h.xhtml',1,'']]],
   ['clgaussian3x3_2ecpp',['CLGaussian3x3.cpp',['../_c_l_gaussian3x3_8cpp.xhtml',1,'']]],
   ['clgaussian3x3_2eh',['CLGaussian3x3.h',['../_c_l_gaussian3x3_8h.xhtml',1,'']]],
   ['clgaussian3x3kernel_2ecpp',['CLGaussian3x3Kernel.cpp',['../_c_l_gaussian3x3_kernel_8cpp.xhtml',1,'']]],
@@ -226,6 +240,8 @@
   ['clgemmlowpmatrixmultiplycore_2eh',['CLGEMMLowpMatrixMultiplyCore.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplykernel_2ecpp',['CLGEMMLowpMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpmatrixmultiplykernel_2eh',['CLGEMMLowpMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel_2eh',['CLGEMMLowpMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpoffsetcontributionkernel_2ecpp',['CLGEMMLowpOffsetContributionKernel.cpp',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp.xhtml',1,'']]],
   ['clgemmlowpoffsetcontributionkernel_2eh',['CLGEMMLowpOffsetContributionKernel.h',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h.xhtml',1,'']]],
   ['clgemmlowpoffsetcontributionoutputstagekernel_2ecpp',['CLGEMMLowpOffsetContributionOutputStageKernel.cpp',['../_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp.xhtml',1,'']]],
@@ -246,8 +262,17 @@
   ['clgemmmatrixadditionkernel_2eh',['CLGEMMMatrixAdditionKernel.h',['../_c_l_g_e_m_m_matrix_addition_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixmultiplykernel_2ecpp',['CLGEMMMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixmultiplykernel_2eh',['CLGEMMMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmmatrixmultiplyreshapedkernel_2eh',['CLGEMMMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel_2ecpp',['CLGEMMMatrixVectorMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8cpp.xhtml',1,'']]],
   ['clgemmmatrixvectormultiplykernel_2eh',['CLGEMMMatrixVectorMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml',1,'']]],
+  ['clgemmreshapedconfiguration_2eh',['CLGEMMReshapedConfiguration.h',['../_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
+  ['clgemmreshapedconfigurationbifrost_2ecpp',['CLGEMMReshapedConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8cpp.xhtml',1,'']]],
+  ['clgemmreshapedconfigurationbifrost_2eh',['CLGEMMReshapedConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8h.xhtml',1,'']]],
+  ['clgemmreshapelhsmatrixkernel_2ecpp',['CLGEMMReshapeLHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmreshapelhsmatrixkernel_2eh',['CLGEMMReshapeLHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml',1,'']]],
+  ['clgemmreshaperhsmatrixkernel_2ecpp',['CLGEMMReshapeRHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
+  ['clgemmreshaperhsmatrixkernel_2eh',['CLGEMMReshapeRHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h.xhtml',1,'']]],
   ['clgemmtranspose1xw_2ecpp',['CLGEMMTranspose1xW.cpp',['../_c_l_g_e_m_m_transpose1x_w_8cpp.xhtml',1,'']]],
   ['clgemmtranspose1xw_2eh',['CLGEMMTranspose1xW.h',['../_c_l_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
   ['clgemmtranspose1xwkernel_2ecpp',['CLGEMMTranspose1xWKernel.cpp',['../_c_l_g_e_m_m_transpose1x_w_kernel_8cpp.xhtml',1,'']]],
@@ -260,8 +285,8 @@
   ['clharriscorners_2eh',['CLHarrisCorners.h',['../_c_l_harris_corners_8h.xhtml',1,'']]],
   ['clharriscornerskernel_2ecpp',['CLHarrisCornersKernel.cpp',['../_c_l_harris_corners_kernel_8cpp.xhtml',1,'']]],
   ['clharriscornerskernel_2eh',['CLHarrisCornersKernel.h',['../_c_l_harris_corners_kernel_8h.xhtml',1,'']]],
-  ['clhelpers_2ecpp',['CLHelpers.cpp',['../_c_l_helpers_8cpp.xhtml',1,'']]],
-  ['clhelpers_2eh',['CLHelpers.h',['../_c_l_helpers_8h.xhtml',1,'']]],
+  ['clhelpers_2ecpp',['CLHelpers.cpp',['../core_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['clhelpers_2eh',['CLHelpers.h',['../core_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)']]],
   ['clhistogram_2ecpp',['CLHistogram.cpp',['../_c_l_histogram_8cpp.xhtml',1,'']]],
   ['clhistogram_2eh',['CLHistogram.h',['../_c_l_histogram_8h.xhtml',1,'']]],
   ['clhistogramkernel_2ecpp',['CLHistogramKernel.cpp',['../_c_l_histogram_kernel_8cpp.xhtml',1,'']]],
@@ -386,6 +411,10 @@
   ['clquantizationlayer_2eh',['CLQuantizationLayer.h',['../_c_l_quantization_layer_8h.xhtml',1,'']]],
   ['clquantizationlayerkernel_2ecpp',['CLQuantizationLayerKernel.cpp',['../_c_l_quantization_layer_kernel_8cpp.xhtml',1,'']]],
   ['clquantizationlayerkernel_2eh',['CLQuantizationLayerKernel.h',['../_c_l_quantization_layer_kernel_8h.xhtml',1,'']]],
+  ['clrange_2ecpp',['CLRange.cpp',['../_c_l_range_8cpp.xhtml',1,'']]],
+  ['clrange_2eh',['CLRange.h',['../_c_l_range_8h.xhtml',1,'']]],
+  ['clrangekernel_2ecpp',['CLRangeKernel.cpp',['../_c_l_range_kernel_8cpp.xhtml',1,'']]],
+  ['clrangekernel_2eh',['CLRangeKernel.h',['../_c_l_range_kernel_8h.xhtml',1,'']]],
   ['clreducemean_2ecpp',['CLReduceMean.cpp',['../_c_l_reduce_mean_8cpp.xhtml',1,'']]],
   ['clreducemean_2eh',['CLReduceMean.h',['../_c_l_reduce_mean_8h.xhtml',1,'']]],
   ['clreductionoperation_2ecpp',['CLReductionOperation.cpp',['../_c_l_reduction_operation_8cpp.xhtml',1,'']]],
@@ -404,6 +433,10 @@
   ['clreshapelayer_2eh',['CLReshapeLayer.h',['../_c_l_reshape_layer_8h.xhtml',1,'']]],
   ['clreshapelayerkernel_2ecpp',['CLReshapeLayerKernel.cpp',['../_c_l_reshape_layer_kernel_8cpp.xhtml',1,'']]],
   ['clreshapelayerkernel_2eh',['CLReshapeLayerKernel.h',['../_c_l_reshape_layer_kernel_8h.xhtml',1,'']]],
+  ['clreverse_2ecpp',['CLReverse.cpp',['../_c_l_reverse_8cpp.xhtml',1,'']]],
+  ['clreverse_2eh',['CLReverse.h',['../_c_l_reverse_8h.xhtml',1,'']]],
+  ['clreversekernel_2ecpp',['CLReverseKernel.cpp',['../_c_l_reverse_kernel_8cpp.xhtml',1,'']]],
+  ['clreversekernel_2eh',['CLReverseKernel.h',['../_c_l_reverse_kernel_8h.xhtml',1,'']]],
   ['clrnnlayer_2ecpp',['CLRNNLayer.cpp',['../_c_l_r_n_n_layer_8cpp.xhtml',1,'']]],
   ['clrnnlayer_2eh',['CLRNNLayer.h',['../_c_l_r_n_n_layer_8h.xhtml',1,'']]],
   ['clroialignlayer_2ecpp',['CLROIAlignLayer.cpp',['../_c_l_r_o_i_align_layer_8cpp.xhtml',1,'']]],
@@ -424,6 +457,10 @@
   ['clscharr3x3kernel_2eh',['CLScharr3x3Kernel.h',['../_c_l_scharr3x3_kernel_8h.xhtml',1,'']]],
   ['clscheduler_2ecpp',['CLScheduler.cpp',['../_c_l_scheduler_8cpp.xhtml',1,'']]],
   ['clscheduler_2eh',['CLScheduler.h',['../_c_l_scheduler_8h.xhtml',1,'']]],
+  ['clselect_2ecpp',['CLSelect.cpp',['../_c_l_select_8cpp.xhtml',1,'']]],
+  ['clselect_2eh',['CLSelect.h',['../_c_l_select_8h.xhtml',1,'']]],
+  ['clselectkernel_2ecpp',['CLSelectKernel.cpp',['../_c_l_select_kernel_8cpp.xhtml',1,'']]],
+  ['clselectkernel_2eh',['CLSelectKernel.h',['../_c_l_select_kernel_8h.xhtml',1,'']]],
   ['clslice_2ecpp',['CLSlice.cpp',['../_c_l_slice_8cpp.xhtml',1,'']]],
   ['clslice_2eh',['CLSlice.h',['../_c_l_slice_8h.xhtml',1,'']]],
   ['clsobel3x3_2ecpp',['CLSobel3x3.cpp',['../_c_l_sobel3x3_8cpp.xhtml',1,'']]],
@@ -448,6 +485,10 @@
   ['clspacetobatchlayerkernel_2eh',['CLSpaceToBatchLayerKernel.h',['../_c_l_space_to_batch_layer_kernel_8h.xhtml',1,'']]],
   ['clsplit_2ecpp',['CLSplit.cpp',['../_c_l_split_8cpp.xhtml',1,'']]],
   ['clsplit_2eh',['CLSplit.h',['../_c_l_split_8h.xhtml',1,'']]],
+  ['clstacklayer_2ecpp',['CLStackLayer.cpp',['../_c_l_stack_layer_8cpp.xhtml',1,'']]],
+  ['clstacklayer_2eh',['CLStackLayer.h',['../_c_l_stack_layer_8h.xhtml',1,'']]],
+  ['clstacklayerkernel_2ecpp',['CLStackLayerKernel.cpp',['../_c_l_stack_layer_kernel_8cpp.xhtml',1,'']]],
+  ['clstacklayerkernel_2eh',['CLStackLayerKernel.h',['../_c_l_stack_layer_kernel_8h.xhtml',1,'']]],
   ['clstridedslice_2ecpp',['CLStridedSlice.cpp',['../_c_l_strided_slice_8cpp.xhtml',1,'']]],
   ['clstridedslice_2eh',['CLStridedSlice.h',['../_c_l_strided_slice_8h.xhtml',1,'']]],
   ['clstridedslicekernel_2ecpp',['CLStridedSliceKernel.cpp',['../_c_l_strided_slice_kernel_8cpp.xhtml',1,'']]],
@@ -456,6 +497,7 @@
   ['clsubtensor_2eh',['CLSubTensor.h',['../_c_l_sub_tensor_8h.xhtml',1,'']]],
   ['clsubtensorhandle_2ecpp',['CLSubTensorHandle.cpp',['../_c_l_sub_tensor_handle_8cpp.xhtml',1,'']]],
   ['clsubtensorhandle_2eh',['CLSubTensorHandle.h',['../_c_l_sub_tensor_handle_8h.xhtml',1,'']]],
+  ['clt_2eh',['clt.h',['../clt_8h.xhtml',1,'']]],
   ['cltablelookup_2ecpp',['CLTableLookup.cpp',['../_c_l_table_lookup_8cpp.xhtml',1,'']]],
   ['cltablelookup_2eh',['CLTableLookup.h',['../_c_l_table_lookup_8h.xhtml',1,'']]],
   ['cltablelookupkernel_2ecpp',['CLTableLookupKernel.cpp',['../_c_l_table_lookup_kernel_8cpp.xhtml',1,'']]],
@@ -470,6 +512,10 @@
   ['clthreshold_2eh',['CLThreshold.h',['../_c_l_threshold_8h.xhtml',1,'']]],
   ['clthresholdkernel_2ecpp',['CLThresholdKernel.cpp',['../_c_l_threshold_kernel_8cpp.xhtml',1,'']]],
   ['clthresholdkernel_2eh',['CLThresholdKernel.h',['../_c_l_threshold_kernel_8h.xhtml',1,'']]],
+  ['cltile_2ecpp',['CLTile.cpp',['../_c_l_tile_8cpp.xhtml',1,'']]],
+  ['cltile_2eh',['CLTile.h',['../_c_l_tile_8h.xhtml',1,'']]],
+  ['cltilekernel_2ecpp',['CLTileKernel.cpp',['../_c_l_tile_kernel_8cpp.xhtml',1,'']]],
+  ['cltilekernel_2eh',['CLTileKernel.h',['../_c_l_tile_kernel_8h.xhtml',1,'']]],
   ['cltranspose_2ecpp',['CLTranspose.cpp',['../_c_l_transpose_8cpp.xhtml',1,'']]],
   ['cltranspose_2eh',['CLTranspose.h',['../_c_l_transpose_8h.xhtml',1,'']]],
   ['cltransposekernel_2ecpp',['CLTransposeKernel.cpp',['../_c_l_transpose_kernel_8cpp.xhtml',1,'']]],
@@ -477,6 +523,8 @@
   ['cltuner_2ecpp',['CLTuner.cpp',['../_c_l_tuner_8cpp.xhtml',1,'']]],
   ['cltuner_2eh',['CLTuner.h',['../_c_l_tuner_8h.xhtml',1,'']]],
   ['cltypes_2eh',['CLTypes.h',['../_c_l_types_8h.xhtml',1,'']]],
+  ['clunstack_2ecpp',['CLUnstack.cpp',['../_c_l_unstack_8cpp.xhtml',1,'']]],
+  ['clunstack_2eh',['CLUnstack.h',['../_c_l_unstack_8h.xhtml',1,'']]],
   ['clupsamplelayer_2ecpp',['CLUpsampleLayer.cpp',['../_c_l_upsample_layer_8cpp.xhtml',1,'']]],
   ['clupsamplelayer_2eh',['CLUpsampleLayer.h',['../_c_l_upsample_layer_8h.xhtml',1,'']]],
   ['clupsamplelayerkernel_2ecpp',['CLUpsampleLayerKernel.cpp',['../_c_l_upsample_layer_kernel_8cpp.xhtml',1,'']]],
@@ -521,12 +569,16 @@
   ['colorconvert_2ecpp',['ColorConvert.cpp',['../benchmark_2_c_l_2_color_convert_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_color_convert_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_color_convert_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_color_convert_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_color_convert_8cpp.xhtml',1,'(Global Namespace)']]],
   ['colorconvert_2eh',['ColorConvert.h',['../_color_convert_8h.xhtml',1,'']]],
   ['colorconverthelper_2eh',['ColorConvertHelper.h',['../_color_convert_helper_8h.xhtml',1,'']]],
+  ['combine_2eh',['combine.h',['../combine_8h.xhtml',1,'']]],
   ['commandlineoptions_2eh',['CommandLineOptions.h',['../_command_line_options_8h.xhtml',1,'']]],
   ['commandlineparser_2eh',['CommandLineParser.h',['../_command_line_parser_8h.xhtml',1,'']]],
   ['commongraphoptions_2ecpp',['CommonGraphOptions.cpp',['../_common_graph_options_8cpp.xhtml',1,'']]],
   ['commongraphoptions_2eh',['CommonGraphOptions.h',['../_common_graph_options_8h.xhtml',1,'']]],
   ['commonoptions_2ecpp',['CommonOptions.cpp',['../_common_options_8cpp.xhtml',1,'']]],
   ['commonoptions_2eh',['CommonOptions.h',['../_common_options_8h.xhtml',1,'']]],
+  ['comparisons_2ecl',['comparisons.cl',['../comparisons_8cl.xhtml',1,'']]],
+  ['comparisons_2ecpp',['Comparisons.cpp',['../_c_l_2_comparisons_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_comparisons_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_comparisons_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['comparisons_2eh',['Comparisons.h',['../_comparisons_8h.xhtml',1,'']]],
   ['computeallanchors_2ecpp',['ComputeAllAnchors.cpp',['../_compute_all_anchors_8cpp.xhtml',1,'']]],
   ['computeallanchors_2eh',['ComputeAllAnchors.h',['../_compute_all_anchors_8h.xhtml',1,'']]],
   ['concatenate_2ecl',['concatenate.cl',['../concatenate_8cl.xhtml',1,'']]],
@@ -561,6 +613,8 @@
   ['cppboxwithnonmaximasuppressionlimitkernel_2eh',['CPPBoxWithNonMaximaSuppressionLimitKernel.h',['../_c_p_p_box_with_non_maxima_suppression_limit_kernel_8h.xhtml',1,'']]],
   ['cppcornercandidateskernel_2ecpp',['CPPCornerCandidatesKernel.cpp',['../_c_p_p_corner_candidates_kernel_8cpp.xhtml',1,'']]],
   ['cppcornercandidateskernel_2eh',['CPPCornerCandidatesKernel.h',['../_c_p_p_corner_candidates_kernel_8h.xhtml',1,'']]],
+  ['cppdetectionoutputlayer_2ecpp',['CPPDetectionOutputLayer.cpp',['../_c_p_p_detection_output_layer_8cpp.xhtml',1,'']]],
+  ['cppdetectionoutputlayer_2eh',['CPPDetectionOutputLayer.h',['../_c_p_p_detection_output_layer_8h.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2ecpp',['CPPDetectionWindowNonMaximaSuppressionKernel.cpp',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8cpp.xhtml',1,'']]],
   ['cppdetectionwindownonmaximasuppressionkernel_2eh',['CPPDetectionWindowNonMaximaSuppressionKernel.h',['../_c_p_p_detection_window_non_maxima_suppression_kernel_8h.xhtml',1,'']]],
   ['cppflipweightskernel_2ecpp',['CPPFlipWeightsKernel.cpp',['../_c_p_p_flip_weights_kernel_8cpp.xhtml',1,'']]],
@@ -575,6 +629,10 @@
   ['cppscheduler_2eh',['CPPScheduler.h',['../_c_p_p_scheduler_8h.xhtml',1,'']]],
   ['cppsorteuclideandistancekernel_2ecpp',['CPPSortEuclideanDistanceKernel.cpp',['../_c_p_p_sort_euclidean_distance_kernel_8cpp.xhtml',1,'']]],
   ['cppsorteuclideandistancekernel_2eh',['CPPSortEuclideanDistanceKernel.h',['../_c_p_p_sort_euclidean_distance_kernel_8h.xhtml',1,'']]],
+  ['cpptopkv_2ecpp',['CPPTopKV.cpp',['../_c_p_p_top_k_v_8cpp.xhtml',1,'']]],
+  ['cpptopkv_2eh',['CPPTopKV.h',['../_c_p_p_top_k_v_8h.xhtml',1,'']]],
+  ['cpptopkvkernel_2ecpp',['CPPTopKVKernel.cpp',['../_c_p_p_top_k_v_kernel_8cpp.xhtml',1,'']]],
+  ['cpptopkvkernel_2eh',['CPPTopKVKernel.h',['../_c_p_p_top_k_v_kernel_8h.xhtml',1,'']]],
   ['cpptypes_2ecpp',['CPPTypes.cpp',['../_c_p_p_types_8cpp.xhtml',1,'']]],
   ['cpptypes_2eh',['CPPTypes.h',['../_c_p_p_types_8h.xhtml',1,'']]],
   ['cppupsample_2ecpp',['CPPUpsample.cpp',['../_c_p_p_upsample_8cpp.xhtml',1,'']]],
diff --git a/documentation/search/files_4.html b/documentation/search/files_4.html
index 7b4c42a..0eaa44a 100644
--- a/documentation/search/files_4.html
+++ b/documentation/search/files_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_4.js b/documentation/search/files_4.js
index 405317d..22fcff0 100644
--- a/documentation/search/files_4.js
+++ b/documentation/search/files_4.js
@@ -30,6 +30,8 @@
   ['derivative_2ecl',['derivative.cl',['../derivative_8cl.xhtml',1,'']]],
   ['derivative_2ecpp',['Derivative.cpp',['../_c_l_2_derivative_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_derivative_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_derivative_8cpp.xhtml',1,'(Global Namespace)']]],
   ['derivative_2eh',['Derivative.h',['../_derivative_8h.xhtml',1,'']]],
+  ['detectionoutputlayernode_2ecpp',['DetectionOutputLayerNode.cpp',['../_detection_output_layer_node_8cpp.xhtml',1,'']]],
+  ['detectionoutputlayernode_2eh',['DetectionOutputLayerNode.h',['../_detection_output_layer_node_8h.xhtml',1,'']]],
   ['dilate_2ecl',['dilate.cl',['../dilate_8cl.xhtml',1,'']]],
   ['dilate_2ecpp',['Dilate.cpp',['../_c_l_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_dilate_8cpp.xhtml',1,'(Global Namespace)']]],
   ['dilate_2eh',['Dilate.h',['../_dilate_8h.xhtml',1,'']]],
@@ -43,6 +45,7 @@
   ['directconvolutionlayertensorshift_2ecpp',['DirectConvolutionLayerTensorShift.cpp',['../_direct_convolution_layer_tensor_shift_8cpp.xhtml',1,'']]],
   ['distribution1d_2ecpp',['Distribution1D.cpp',['../_distribution1_d_8cpp.xhtml',1,'']]],
   ['distribution1d_2eh',['Distribution1D.h',['../_distribution1_d_8h.xhtml',1,'']]],
+  ['div_2eh',['div.h',['../div_8h.xhtml',1,'']]],
   ['dot_5ftoolchain_5fsupport_2eh',['dot_toolchain_support.h',['../a64__gemm__s8__12x8_2dot__toolchain__support_8h.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2dot__toolchain__support_8h.xhtml',1,'(Global Namespace)']]],
   ['dotgraphprinter_2ecpp',['DotGraphPrinter.cpp',['../_dot_graph_printer_8cpp.xhtml',1,'']]],
   ['dotgraphprinter_2eh',['DotGraphPrinter.h',['../_dot_graph_printer_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_5.html b/documentation/search/files_5.html
index 1f77bb1..25316a5 100644
--- a/documentation/search/files_5.html
+++ b/documentation/search/files_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_5.js b/documentation/search/files_5.js
index dbe8c01..883c4ed 100644
--- a/documentation/search/files_5.js
+++ b/documentation/search/files_5.js
@@ -1,6 +1,20 @@
 var searchData=
 [
   ['edge_2eh',['Edge.h',['../_edge_8h.xhtml',1,'']]],
+  ['elementwise_5foperation_2ecl',['elementwise_operation.cl',['../elementwise__operation_8cl.xhtml',1,'']]],
+  ['elementwise_5foperation_5fquantized_2ecl',['elementwise_operation_quantized.cl',['../elementwise__operation__quantized_8cl.xhtml',1,'']]],
+  ['elementwise_5funary_2ecl',['elementwise_unary.cl',['../elementwise__unary_8cl.xhtml',1,'']]],
+  ['elementwisedivision_2ecpp',['ElementwiseDivision.cpp',['../_elementwise_division_8cpp.xhtml',1,'']]],
+  ['elementwiseexplayer_2ecpp',['ElementwiseExpLayer.cpp',['../_elementwise_exp_layer_8cpp.xhtml',1,'']]],
+  ['elementwisemax_2ecpp',['ElementwiseMax.cpp',['../_c_l_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_max_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwisemin_2ecpp',['ElementwiseMin.cpp',['../_c_l_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_elementwise_min_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['elementwiseoperations_2ecpp',['ElementwiseOperations.cpp',['../_elementwise_operations_8cpp.xhtml',1,'']]],
+  ['elementwiseoperations_2eh',['ElementwiseOperations.h',['../_elementwise_operations_8h.xhtml',1,'']]],
+  ['elementwisersqrtlayer_2ecpp',['ElementwiseRsqrtLayer.cpp',['../_elementwise_rsqrt_layer_8cpp.xhtml',1,'']]],
+  ['elementwisesquareddiff_2ecpp',['ElementwiseSquaredDiff.cpp',['../_elementwise_squared_diff_8cpp.xhtml',1,'']]],
+  ['elementwisesquarediff_2ecpp',['ElementwiseSquareDiff.cpp',['../_elementwise_square_diff_8cpp.xhtml',1,'']]],
+  ['elementwiseunary_2ecpp',['ElementWiseUnary.cpp',['../_element_wise_unary_8cpp.xhtml',1,'']]],
+  ['elementwiseunary_2eh',['ElementWiseUnary.h',['../_element_wise_unary_8h.xhtml',1,'']]],
   ['eltwiselayernode_2ecpp',['EltwiseLayerNode.cpp',['../_eltwise_layer_node_8cpp.xhtml',1,'']]],
   ['eltwiselayernode_2eh',['EltwiseLayerNode.h',['../_eltwise_layer_node_8h.xhtml',1,'']]],
   ['enumlistoption_2eh',['EnumListOption.h',['../_enum_list_option_8h.xhtml',1,'']]],
@@ -16,5 +30,6 @@
   ['exceptions_2eh',['Exceptions.h',['../_exceptions_8h.xhtml',1,'']]],
   ['executionhelpers_2ecpp',['ExecutionHelpers.cpp',['../_execution_helpers_8cpp.xhtml',1,'']]],
   ['executionhelpers_2eh',['ExecutionHelpers.h',['../_execution_helpers_8h.xhtml',1,'']]],
-  ['exp_2eh',['exp.h',['../exp_8h.xhtml',1,'']]]
+  ['exp_2eh',['exp.h',['../exp_8h.xhtml',1,'']]],
+  ['explayer_2ecpp',['ExpLayer.cpp',['../_exp_layer_8cpp.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_6.html b/documentation/search/files_6.html
index 7573254..6f326f5 100644
--- a/documentation/search/files_6.html
+++ b/documentation/search/files_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_7.html b/documentation/search/files_7.html
index 214b329..53e39bf 100644
--- a/documentation/search/files_7.html
+++ b/documentation/search/files_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_7.js b/documentation/search/files_7.js
index 7cd5464..9479baf 100644
--- a/documentation/search/files_7.js
+++ b/documentation/search/files_7.js
@@ -1,5 +1,8 @@
 var searchData=
 [
+  ['gather_2ecl',['gather.cl',['../gather_8cl.xhtml',1,'']]],
+  ['gather_2ecpp',['Gather.cpp',['../_c_l_2_gather_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_gather_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_gather_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gather_2eh',['Gather.h',['../_gather_8h.xhtml',1,'']]],
   ['gaussian3x3_2ecpp',['Gaussian3x3.cpp',['../_c_l_2_gaussian3x3_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_gaussian3x3_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_gaussian3x3_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gaussian3x3_2eh',['Gaussian3x3.h',['../_gaussian3x3_8h.xhtml',1,'']]],
   ['gaussian5x5_2ecpp',['Gaussian5x5.cpp',['../_c_l_2_gaussian5x5_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_gaussian5x5_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_gaussian5x5_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -137,6 +140,7 @@
   ['gemm_2eh',['GEMM.h',['../_g_e_m_m_8h.xhtml',1,'']]],
   ['gemm_5ffp16_2ecpp',['gemm_fp16.cpp',['../gemm__fp16_8cpp.xhtml',1,'']]],
   ['gemm_5ffp32_2ecpp',['gemm_fp32.cpp',['../gemm__fp32_8cpp.xhtml',1,'']]],
+  ['gemm_5fhybrid_2ehpp',['gemm_hybrid.hpp',['../gemm__hybrid_8hpp.xhtml',1,'']]],
   ['gemm_5fimplementation_2ehpp',['gemm_implementation.hpp',['../gemm__implementation_8hpp.xhtml',1,'']]],
   ['gemm_5fint16_2ecpp',['gemm_int16.cpp',['../gemm__int16_8cpp.xhtml',1,'']]],
   ['gemm_5fint8_2ecpp',['gemm_int8.cpp',['../gemm__int8_8cpp.xhtml',1,'']]],
@@ -144,12 +148,17 @@
   ['gemm_5fnative_2ehpp',['gemm_native.hpp',['../gemm__native_8hpp.xhtml',1,'']]],
   ['gemm_5fuint16_2ecpp',['gemm_uint16.cpp',['../gemm__uint16_8cpp.xhtml',1,'']]],
   ['gemm_5fuint8_2ecpp',['gemm_uint8.cpp',['../gemm__uint8_8cpp.xhtml',1,'']]],
-  ['gemminterleave4x4_2ecpp',['GEMMInterleave4x4.cpp',['../_c_l_2_g_e_m_m_interleave4x4_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_g_e_m_m_interleave4x4_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gemminterleave4x4_2eh',['GEMMInterleave4x4.h',['../_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
   ['gemminterleaveblocked_2eh',['GEMMInterleaveBlocked.h',['../_g_e_m_m_interleave_blocked_8h.xhtml',1,'']]],
   ['gemmlowp_2ecl',['gemmlowp.cl',['../gemmlowp_8cl.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gemmlowp_2eh',['GEMMLowp.h',['../_g_e_m_m_lowp_8h.xhtml',1,'']]],
+  ['gemmlowpmatrixmultiplyreshaped_2ecpp',['GEMMLowpMatrixMultiplyReshaped.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
+  ['gemmmatrixmultiplyreshaped_2ecpp',['GEMMMatrixMultiplyReshaped.cpp',['../_g_e_m_m_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
+  ['gemmreshapelhsmatrix_2ecpp',['GEMMReshapeLHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gemmreshapelhsmatrix_2eh',['GEMMReshapeLHSMatrix.h',['../_g_e_m_m_reshape_l_h_s_matrix_8h.xhtml',1,'']]],
+  ['gemmreshaperhsmatrix_2ecpp',['GEMMReshapeRHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['gemmreshaperhsmatrix_2eh',['GEMMReshapeRHSMatrix.h',['../_g_e_m_m_reshape_r_h_s_matrix_8h.xhtml',1,'']]],
   ['gemmtranspose1xw_2eh',['GEMMTranspose1xW.h',['../_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
   ['gemv_2ecl',['gemv.cl',['../gemv_8cl.xhtml',1,'']]],
   ['gemv_5fbatched_2ehpp',['gemv_batched.hpp',['../gemv__batched_8hpp.xhtml',1,'']]],
@@ -159,7 +168,7 @@
   ['generateproposalslayer_2ecpp',['GenerateProposalsLayer.cpp',['../_generate_proposals_layer_8cpp.xhtml',1,'']]],
   ['generateproposalslayernode_2ecpp',['GenerateProposalsLayerNode.cpp',['../_generate_proposals_layer_node_8cpp.xhtml',1,'']]],
   ['generateproposalslayernode_2eh',['GenerateProposalsLayerNode.h',['../_generate_proposals_layer_node_8h.xhtml',1,'']]],
-  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
+  ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native_a__pretranspose_b__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
   ['gethigh_2eh',['gethigh.h',['../gethigh_8h.xhtml',1,'']]],
   ['getlane_2eh',['getlane.h',['../getlane_8h.xhtml',1,'']]],
   ['getlow_2eh',['getlow.h',['../getlow_8h.xhtml',1,'']]],
@@ -171,20 +180,25 @@
   ['graph_2eh',['Graph.h',['../graph_2_graph_8h.xhtml',1,'(Global Namespace)'],['../_graph_8h.xhtml',1,'(Global Namespace)']]],
   ['graph_5falexnet_2ecpp',['graph_alexnet.cpp',['../graph__alexnet_8cpp.xhtml',1,'']]],
   ['graph_5fgooglenet_2ecpp',['graph_googlenet.cpp',['../graph__googlenet_8cpp.xhtml',1,'']]],
+  ['graph_5finception_5fresnet_5fv1_2ecpp',['graph_inception_resnet_v1.cpp',['../graph__inception__resnet__v1_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fresnet_5fv2_2ecpp',['graph_inception_resnet_v2.cpp',['../graph__inception__resnet__v2_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fv3_2ecpp',['graph_inception_v3.cpp',['../graph__inception__v3_8cpp.xhtml',1,'']]],
   ['graph_5finception_5fv4_2ecpp',['graph_inception_v4.cpp',['../graph__inception__v4_8cpp.xhtml',1,'']]],
   ['graph_5flenet_2ecpp',['graph_lenet.cpp',['../graph__lenet_8cpp.xhtml',1,'']]],
   ['graph_5fmobilenet_2ecpp',['graph_mobilenet.cpp',['../graph__mobilenet_8cpp.xhtml',1,'']]],
   ['graph_5fmobilenet_5fv2_2ecpp',['graph_mobilenet_v2.cpp',['../graph__mobilenet__v2_8cpp.xhtml',1,'']]],
+  ['graph_5fresnet12_2ecpp',['graph_resnet12.cpp',['../graph__resnet12_8cpp.xhtml',1,'']]],
   ['graph_5fresnet50_2ecpp',['graph_resnet50.cpp',['../graph__resnet50_8cpp.xhtml',1,'']]],
   ['graph_5fresnet_5fv2_5f50_2ecpp',['graph_resnet_v2_50.cpp',['../graph__resnet__v2__50_8cpp.xhtml',1,'']]],
   ['graph_5fresnext50_2ecpp',['graph_resnext50.cpp',['../graph__resnext50_8cpp.xhtml',1,'']]],
   ['graph_5fshufflenet_2ecpp',['graph_shufflenet.cpp',['../graph__shufflenet_8cpp.xhtml',1,'']]],
   ['graph_5fsqueezenet_2ecpp',['graph_squeezenet.cpp',['../graph__squeezenet_8cpp.xhtml',1,'']]],
   ['graph_5fsqueezenet_5fv1_5f1_2ecpp',['graph_squeezenet_v1_1.cpp',['../graph__squeezenet__v1__1_8cpp.xhtml',1,'']]],
+  ['graph_5fsrcnn955_2ecpp',['graph_srcnn955.cpp',['../graph__srcnn955_8cpp.xhtml',1,'']]],
+  ['graph_5fssd_5fmobilenet_2ecpp',['graph_ssd_mobilenet.cpp',['../graph__ssd__mobilenet_8cpp.xhtml',1,'']]],
   ['graph_5fvgg16_2ecpp',['graph_vgg16.cpp',['../graph__vgg16_8cpp.xhtml',1,'']]],
   ['graph_5fvgg19_2ecpp',['graph_vgg19.cpp',['../graph__vgg19_8cpp.xhtml',1,'']]],
+  ['graph_5fvgg_5fvdsr_2ecpp',['graph_vgg_vdsr.cpp',['../graph__vgg__vdsr_8cpp.xhtml',1,'']]],
   ['graph_5fyolov3_2ecpp',['graph_yolov3.cpp',['../graph__yolov3_8cpp.xhtml',1,'']]],
   ['graphbuilder_2ecpp',['GraphBuilder.cpp',['../_graph_builder_8cpp.xhtml',1,'']]],
   ['graphbuilder_2eh',['GraphBuilder.h',['../_graph_builder_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_8.html b/documentation/search/files_8.html
index 6720c7c..861a02c 100644
--- a/documentation/search/files_8.html
+++ b/documentation/search/files_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_9.html b/documentation/search/files_9.html
index fc95877..020cb09 100644
--- a/documentation/search/files_9.html
+++ b/documentation/search/files_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_9.js b/documentation/search/files_9.js
index dd9bf61..fa22815 100644
--- a/documentation/search/files_9.js
+++ b/documentation/search/files_9.js
@@ -10,6 +10,7 @@
   ['icldepthwiseconvolutionlayer3x3kernel_2eh',['ICLDepthwiseConvolutionLayer3x3Kernel.h',['../_i_c_l_depthwise_convolution_layer3x3_kernel_8h.xhtml',1,'']]],
   ['icldistribution1d_2ecpp',['ICLDistribution1D.cpp',['../_i_c_l_distribution1_d_8cpp.xhtml',1,'']]],
   ['icldistribution1d_2eh',['ICLDistribution1D.h',['../_i_c_l_distribution1_d_8h.xhtml',1,'']]],
+  ['iclgemmreshapedconfiguration_2eh',['ICLGEMMReshapedConfiguration.h',['../_i_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
   ['iclhog_2ecpp',['ICLHOG.cpp',['../_i_c_l_h_o_g_8cpp.xhtml',1,'']]],
   ['iclhog_2eh',['ICLHOG.h',['../_i_c_l_h_o_g_8h.xhtml',1,'']]],
   ['iclkernel_2ecpp',['ICLKernel.cpp',['../_i_c_l_kernel_8cpp.xhtml',1,'']]],
@@ -81,6 +82,8 @@
   ['inekernel_2eh',['INEKernel.h',['../_i_n_e_kernel_8h.xhtml',1,'']]],
   ['inesimplefunction_2ecpp',['INESimpleFunction.cpp',['../_i_n_e_simple_function_8cpp.xhtml',1,'']]],
   ['inesimplefunction_2eh',['INESimpleFunction.h',['../_i_n_e_simple_function_8h.xhtml',1,'']]],
+  ['inesimplefunctionnoborder_2ecpp',['INESimpleFunctionNoBorder.cpp',['../_i_n_e_simple_function_no_border_8cpp.xhtml',1,'']]],
+  ['inesimplefunctionnoborder_2eh',['INESimpleFunctionNoBorder.h',['../_i_n_e_simple_function_no_border_8h.xhtml',1,'']]],
   ['inesimplekernel_2eh',['INESimpleKernel.h',['../_i_n_e_simple_kernel_8h.xhtml',1,'']]],
   ['initializerlistdataset_2eh',['InitializerListDataset.h',['../_initializer_list_dataset_8h.xhtml',1,'']]],
   ['inode_2ecpp',['INode.cpp',['../_i_node_8cpp.xhtml',1,'']]],
@@ -100,6 +103,7 @@
   ['integralimage_2eh',['IntegralImage.h',['../_integral_image_8h.xhtml',1,'']]],
   ['intrinsics_2eh',['intrinsics.h',['../intrinsics_8h.xhtml',1,'']]],
   ['inv_2eh',['inv.h',['../inv_8h.xhtml',1,'']]],
+  ['invsqrt_2eh',['invsqrt.h',['../invsqrt_8h.xhtml',1,'']]],
   ['ipoolmanager_2eh',['IPoolManager.h',['../_i_pool_manager_8h.xhtml',1,'']]],
   ['iprinter_2eh',['IPrinter.h',['../_i_printer_8h.xhtml',1,'']]],
   ['ipyramid_2eh',['IPyramid.h',['../_i_pyramid_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_a.html b/documentation/search/files_a.html
index ffe3e9d..d7549b7 100644
--- a/documentation/search/files_a.html
+++ b/documentation/search/files_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_b.html b/documentation/search/files_b.html
index 32cd2be..a761fc2 100644
--- a/documentation/search/files_b.html
+++ b/documentation/search/files_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_b.js b/documentation/search/files_b.js
index 7817d01..5f3ca3d 100644
--- a/documentation/search/files_b.js
+++ b/documentation/search/files_b.js
@@ -14,7 +14,7 @@
   ['locallyconnected_2ecpp',['LocallyConnected.cpp',['../_c_l_2_locally_connected_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_locally_connected_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_locally_connected_8cpp.xhtml',1,'(Global Namespace)']]],
   ['locallyconnected_2eh',['LocallyConnected.h',['../_locally_connected_8h.xhtml',1,'']]],
   ['locallyconnectedlayer_2ecpp',['LocallyConnectedLayer.cpp',['../_c_l_2_locally_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_locally_connected_layer_8cpp.xhtml',1,'(Global Namespace)']]],
-  ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'']]],
+  ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2wrapper_2intrinsics_2_log_8h.xhtml',1,'(Global Namespace)']]],
   ['logger_2ecpp',['Logger.cpp',['../_logger_8cpp.xhtml',1,'']]],
   ['logger_2eh',['Logger.h',['../core_2utils_2logging_2_logger_8h.xhtml',1,'(Global Namespace)'],['../graph_2_logger_8h.xhtml',1,'(Global Namespace)']]],
   ['loggerregistry_2ecpp',['LoggerRegistry.cpp',['../_logger_registry_8cpp.xhtml',1,'']]],
diff --git a/documentation/search/files_c.html b/documentation/search/files_c.html
index bb83608..1411ec6 100644
--- a/documentation/search/files_c.html
+++ b/documentation/search/files_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_d.html b/documentation/search/files_d.html
index 38bf2b3..6e7e505 100644
--- a/documentation/search/files_d.html
+++ b/documentation/search/files_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_d.js b/documentation/search/files_d.js
index 3831159..9a44b05 100644
--- a/documentation/search/files_d.js
+++ b/documentation/search/files_d.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['ndrange_2ehpp',['ndrange.hpp',['../ndrange_8hpp.xhtml',1,'']]],
   ['neabsolutedifference_2ecpp',['NEAbsoluteDifference.cpp',['../_n_e_absolute_difference_8cpp.xhtml',1,'']]],
   ['neabsolutedifference_2eh',['NEAbsoluteDifference.h',['../_n_e_absolute_difference_8h.xhtml',1,'']]],
   ['neabsolutedifferencekernel_2ecpp',['NEAbsoluteDifferenceKernel.cpp',['../_n_e_absolute_difference_kernel_8cpp.xhtml',1,'']]],
@@ -13,6 +14,8 @@
   ['neactivationlayer_2eh',['NEActivationLayer.h',['../_n_e_activation_layer_8h.xhtml',1,'']]],
   ['neactivationlayerkernel_2ecpp',['NEActivationLayerKernel.cpp',['../_n_e_activation_layer_kernel_8cpp.xhtml',1,'']]],
   ['neactivationlayerkernel_2eh',['NEActivationLayerKernel.h',['../_n_e_activation_layer_kernel_8h.xhtml',1,'']]],
+  ['neargminmaxlayer_2ecpp',['NEArgMinMaxLayer.cpp',['../_n_e_arg_min_max_layer_8cpp.xhtml',1,'']]],
+  ['neargminmaxlayer_2eh',['NEArgMinMaxLayer.h',['../_n_e_arg_min_max_layer_8h.xhtml',1,'']]],
   ['nearithmeticaddition_2ecpp',['NEArithmeticAddition.cpp',['../_n_e_arithmetic_addition_8cpp.xhtml',1,'']]],
   ['nearithmeticaddition_2eh',['NEArithmeticAddition.h',['../_n_e_arithmetic_addition_8h.xhtml',1,'']]],
   ['nearithmeticadditionkernel_2ecpp',['NEArithmeticAdditionKernel.cpp',['../_n_e_arithmetic_addition_kernel_8cpp.xhtml',1,'']]],
@@ -134,6 +137,14 @@
   ['nedirectconvolutionlayerkernel_2eh',['NEDirectConvolutionLayerKernel.h',['../_n_e_direct_convolution_layer_kernel_8h.xhtml',1,'']]],
   ['nedirectconvolutionlayeroutputstagekernel_2ecpp',['NEDirectConvolutionLayerOutputStageKernel.cpp',['../_n_e_direct_convolution_layer_output_stage_kernel_8cpp.xhtml',1,'']]],
   ['nedirectconvolutionlayeroutputstagekernel_2eh',['NEDirectConvolutionLayerOutputStageKernel.h',['../_n_e_direct_convolution_layer_output_stage_kernel_8h.xhtml',1,'']]],
+  ['neelementwiseoperationkernel_2ecpp',['NEElementwiseOperationKernel.cpp',['../_n_e_elementwise_operation_kernel_8cpp.xhtml',1,'']]],
+  ['neelementwiseoperationkernel_2eh',['NEElementwiseOperationKernel.h',['../_n_e_elementwise_operation_kernel_8h.xhtml',1,'']]],
+  ['neelementwiseoperations_2eh',['NEElementwiseOperations.h',['../_n_e_elementwise_operations_8h.xhtml',1,'']]],
+  ['neelementwiseoperators_2ecpp',['NEElementwiseOperators.cpp',['../_n_e_elementwise_operators_8cpp.xhtml',1,'']]],
+  ['neelementwiseunarykernel_2ecpp',['NEElementwiseUnaryKernel.cpp',['../_n_e_elementwise_unary_kernel_8cpp.xhtml',1,'']]],
+  ['neelementwiseunarykernel_2eh',['NEElementwiseUnaryKernel.h',['../_n_e_elementwise_unary_kernel_8h.xhtml',1,'']]],
+  ['neelementwiseunarylayer_2ecpp',['NEElementwiseUnaryLayer.cpp',['../_n_e_elementwise_unary_layer_8cpp.xhtml',1,'']]],
+  ['neelementwiseunarylayer_2eh',['NEElementwiseUnaryLayer.h',['../_n_e_elementwise_unary_layer_8h.xhtml',1,'']]],
   ['neequalizehistogram_2ecpp',['NEEqualizeHistogram.cpp',['../_n_e_equalize_histogram_8cpp.xhtml',1,'']]],
   ['neequalizehistogram_2eh',['NEEqualizeHistogram.h',['../_n_e_equalize_histogram_8h.xhtml',1,'']]],
   ['neerode_2ecpp',['NEErode.cpp',['../_n_e_erode_8cpp.xhtml',1,'']]],
@@ -167,7 +178,15 @@
   ['nefunctionfactory_2ecpp',['NEFunctionFactory.cpp',['../_n_e_function_factory_8cpp.xhtml',1,'']]],
   ['nefunctionfactory_2eh',['NEFunctionFactory.h',['../_n_e_function_factory_8h.xhtml',1,'']]],
   ['nefunctions_2eh',['NEFunctions.h',['../_n_e_functions_8h.xhtml',1,'']]],
+  ['nefusebatchnormalization_2ecpp',['NEFuseBatchNormalization.cpp',['../_n_e_fuse_batch_normalization_8cpp.xhtml',1,'']]],
+  ['nefusebatchnormalization_2eh',['NEFuseBatchNormalization.h',['../_n_e_fuse_batch_normalization_8h.xhtml',1,'']]],
+  ['nefusebatchnormalizationkernel_2ecpp',['NEFuseBatchNormalizationKernel.cpp',['../_n_e_fuse_batch_normalization_kernel_8cpp.xhtml',1,'']]],
+  ['nefusebatchnormalizationkernel_2eh',['NEFuseBatchNormalizationKernel.h',['../_n_e_fuse_batch_normalization_kernel_8h.xhtml',1,'']]],
   ['neg_2eh',['neg.h',['../neg_8h.xhtml',1,'']]],
+  ['negather_2ecpp',['NEGather.cpp',['../_n_e_gather_8cpp.xhtml',1,'']]],
+  ['negather_2eh',['NEGather.h',['../_n_e_gather_8h.xhtml',1,'']]],
+  ['negatherkernel_2ecpp',['NEGatherKernel.cpp',['../_n_e_gather_kernel_8cpp.xhtml',1,'']]],
+  ['negatherkernel_2eh',['NEGatherKernel.h',['../_n_e_gather_kernel_8h.xhtml',1,'']]],
   ['negaussian3x3_2ecpp',['NEGaussian3x3.cpp',['../_n_e_gaussian3x3_8cpp.xhtml',1,'']]],
   ['negaussian3x3_2eh',['NEGaussian3x3.h',['../_n_e_gaussian3x3_8h.xhtml',1,'']]],
   ['negaussian3x3kernel_2ecpp',['NEGaussian3x3Kernel.cpp',['../_n_e_gaussian3x3_kernel_8cpp.xhtml',1,'']]],
@@ -278,6 +297,8 @@
   ['nemedian3x3_2eh',['NEMedian3x3.h',['../_n_e_median3x3_8h.xhtml',1,'']]],
   ['nemedian3x3kernel_2ecpp',['NEMedian3x3Kernel.cpp',['../_n_e_median3x3_kernel_8cpp.xhtml',1,'']]],
   ['nemedian3x3kernel_2eh',['NEMedian3x3Kernel.h',['../_n_e_median3x3_kernel_8h.xhtml',1,'']]],
+  ['nememsetkernel_2ecpp',['NEMemsetKernel.cpp',['../_n_e_memset_kernel_8cpp.xhtml',1,'']]],
+  ['nememsetkernel_2eh',['NEMemsetKernel.h',['../_n_e_memset_kernel_8h.xhtml',1,'']]],
   ['neminmaxlayerkernel_2ecpp',['NEMinMaxLayerKernel.cpp',['../_n_e_min_max_layer_kernel_8cpp.xhtml',1,'']]],
   ['neminmaxlayerkernel_2eh',['NEMinMaxLayerKernel.h',['../_n_e_min_max_layer_kernel_8h.xhtml',1,'']]],
   ['neminmaxlocation_2ecpp',['NEMinMaxLocation.cpp',['../_n_e_min_max_location_8cpp.xhtml',1,'']]],
@@ -307,6 +328,8 @@
   ['neoncl_5fscale_5fmedian_5fgaussian_2ecpp',['neoncl_scale_median_gaussian.cpp',['../neoncl__scale__median__gaussian_8cpp.xhtml',1,'']]],
   ['neopticalflow_2ecpp',['NEOpticalFlow.cpp',['../_n_e_optical_flow_8cpp.xhtml',1,'']]],
   ['neopticalflow_2eh',['NEOpticalFlow.h',['../_n_e_optical_flow_8h.xhtml',1,'']]],
+  ['nepadlayer_2ecpp',['NEPadLayer.cpp',['../_n_e_pad_layer_8cpp.xhtml',1,'']]],
+  ['nepadlayer_2eh',['NEPadLayer.h',['../_n_e_pad_layer_8h.xhtml',1,'']]],
   ['nepermute_2ecpp',['NEPermute.cpp',['../_n_e_permute_8cpp.xhtml',1,'']]],
   ['nepermute_2eh',['NEPermute.h',['../_n_e_permute_8h.xhtml',1,'']]],
   ['nepermutekernel_2ecpp',['NEPermuteKernel.cpp',['../_n_e_permute_kernel_8cpp.xhtml',1,'']]],
@@ -329,6 +352,10 @@
   ['nequantizationlayer_2eh',['NEQuantizationLayer.h',['../_n_e_quantization_layer_8h.xhtml',1,'']]],
   ['nequantizationlayerkernel_2ecpp',['NEQuantizationLayerKernel.cpp',['../_n_e_quantization_layer_kernel_8cpp.xhtml',1,'']]],
   ['nequantizationlayerkernel_2eh',['NEQuantizationLayerKernel.h',['../_n_e_quantization_layer_kernel_8h.xhtml',1,'']]],
+  ['nerange_2ecpp',['NERange.cpp',['../_n_e_range_8cpp.xhtml',1,'']]],
+  ['nerange_2eh',['NERange.h',['../_n_e_range_8h.xhtml',1,'']]],
+  ['nerangekernel_2ecpp',['NERangeKernel.cpp',['../_n_e_range_kernel_8cpp.xhtml',1,'']]],
+  ['nerangekernel_2eh',['NERangeKernel.h',['../_n_e_range_kernel_8h.xhtml',1,'']]],
   ['nereducemean_2ecpp',['NEReduceMean.cpp',['../_n_e_reduce_mean_8cpp.xhtml',1,'']]],
   ['nereducemean_2eh',['NEReduceMean.h',['../_n_e_reduce_mean_8h.xhtml',1,'']]],
   ['nereductionoperation_2ecpp',['NEReductionOperation.cpp',['../_n_e_reduction_operation_8cpp.xhtml',1,'']]],
@@ -347,6 +374,10 @@
   ['nereshapelayer_2eh',['NEReshapeLayer.h',['../_n_e_reshape_layer_8h.xhtml',1,'']]],
   ['nereshapelayerkernel_2ecpp',['NEReshapeLayerKernel.cpp',['../_n_e_reshape_layer_kernel_8cpp.xhtml',1,'']]],
   ['nereshapelayerkernel_2eh',['NEReshapeLayerKernel.h',['../_n_e_reshape_layer_kernel_8h.xhtml',1,'']]],
+  ['nereverse_2ecpp',['NEReverse.cpp',['../_n_e_reverse_8cpp.xhtml',1,'']]],
+  ['nereverse_2eh',['NEReverse.h',['../_n_e_reverse_8h.xhtml',1,'']]],
+  ['nereversekernel_2ecpp',['NEReverseKernel.cpp',['../_n_e_reverse_kernel_8cpp.xhtml',1,'']]],
+  ['nereversekernel_2eh',['NEReverseKernel.h',['../_n_e_reverse_kernel_8h.xhtml',1,'']]],
   ['nernnlayer_2ecpp',['NERNNLayer.cpp',['../_n_e_r_n_n_layer_8cpp.xhtml',1,'']]],
   ['nernnlayer_2eh',['NERNNLayer.h',['../_n_e_r_n_n_layer_8h.xhtml',1,'']]],
   ['neroipoolinglayer_2ecpp',['NEROIPoolingLayer.cpp',['../_n_e_r_o_i_pooling_layer_8cpp.xhtml',1,'']]],
@@ -362,8 +393,14 @@
   ['nescharr3x3kernel_2ecpp',['NEScharr3x3Kernel.cpp',['../_n_e_scharr3x3_kernel_8cpp.xhtml',1,'']]],
   ['nescharr3x3kernel_2eh',['NEScharr3x3Kernel.h',['../_n_e_scharr3x3_kernel_8h.xhtml',1,'']]],
   ['nescheduler_2eh',['NEScheduler.h',['../_n_e_scheduler_8h.xhtml',1,'']]],
+  ['neselect_2ecpp',['NESelect.cpp',['../_n_e_select_8cpp.xhtml',1,'']]],
+  ['neselect_2eh',['NESelect.h',['../_n_e_select_8h.xhtml',1,'']]],
+  ['neselectkernel_2ecpp',['NESelectKernel.cpp',['../_n_e_select_kernel_8cpp.xhtml',1,'']]],
+  ['neselectkernel_2eh',['NESelectKernel.h',['../_n_e_select_kernel_8h.xhtml',1,'']]],
   ['nesimpleassemblyfunction_2ecpp',['NESimpleAssemblyFunction.cpp',['../_n_e_simple_assembly_function_8cpp.xhtml',1,'']]],
   ['nesimpleassemblyfunction_2eh',['NESimpleAssemblyFunction.h',['../_n_e_simple_assembly_function_8h.xhtml',1,'']]],
+  ['neslice_2ecpp',['NESlice.cpp',['../_n_e_slice_8cpp.xhtml',1,'']]],
+  ['neslice_2eh',['NESlice.h',['../_n_e_slice_8h.xhtml',1,'']]],
   ['nesobel3x3_2ecpp',['NESobel3x3.cpp',['../_n_e_sobel3x3_8cpp.xhtml',1,'']]],
   ['nesobel3x3_2eh',['NESobel3x3.h',['../_n_e_sobel3x3_8h.xhtml',1,'']]],
   ['nesobel3x3kernel_2ecpp',['NESobel3x3Kernel.cpp',['../_n_e_sobel3x3_kernel_8cpp.xhtml',1,'']]],
@@ -380,6 +417,16 @@
   ['nesoftmaxlayer_2eh',['NESoftmaxLayer.h',['../_n_e_softmax_layer_8h.xhtml',1,'']]],
   ['nesoftmaxlayerkernel_2ecpp',['NESoftmaxLayerKernel.cpp',['../_n_e_softmax_layer_kernel_8cpp.xhtml',1,'']]],
   ['nesoftmaxlayerkernel_2eh',['NESoftmaxLayerKernel.h',['../_n_e_softmax_layer_kernel_8h.xhtml',1,'']]],
+  ['nesplit_2ecpp',['NESplit.cpp',['../_n_e_split_8cpp.xhtml',1,'']]],
+  ['nesplit_2eh',['NESplit.h',['../_n_e_split_8h.xhtml',1,'']]],
+  ['nestacklayer_2ecpp',['NEStackLayer.cpp',['../_n_e_stack_layer_8cpp.xhtml',1,'']]],
+  ['nestacklayer_2eh',['NEStackLayer.h',['../_n_e_stack_layer_8h.xhtml',1,'']]],
+  ['nestacklayerkernel_2ecpp',['NEStackLayerKernel.cpp',['../_n_e_stack_layer_kernel_8cpp.xhtml',1,'']]],
+  ['nestacklayerkernel_2eh',['NEStackLayerKernel.h',['../_n_e_stack_layer_kernel_8h.xhtml',1,'']]],
+  ['nestridedslice_2ecpp',['NEStridedSlice.cpp',['../_n_e_strided_slice_8cpp.xhtml',1,'']]],
+  ['nestridedslice_2eh',['NEStridedSlice.h',['../_n_e_strided_slice_8h.xhtml',1,'']]],
+  ['nestridedslicekernel_2ecpp',['NEStridedSliceKernel.cpp',['../_n_e_strided_slice_kernel_8cpp.xhtml',1,'']]],
+  ['nestridedslicekernel_2eh',['NEStridedSliceKernel.h',['../_n_e_strided_slice_kernel_8h.xhtml',1,'']]],
   ['nesubtensorhandle_2ecpp',['NESubTensorHandle.cpp',['../_n_e_sub_tensor_handle_8cpp.xhtml',1,'']]],
   ['nesubtensorhandle_2eh',['NESubTensorHandle.h',['../_n_e_sub_tensor_handle_8h.xhtml',1,'']]],
   ['netablelookup_2ecpp',['NETableLookup.cpp',['../_n_e_table_lookup_8cpp.xhtml',1,'']]],
@@ -392,10 +439,16 @@
   ['nethreshold_2eh',['NEThreshold.h',['../_n_e_threshold_8h.xhtml',1,'']]],
   ['nethresholdkernel_2ecpp',['NEThresholdKernel.cpp',['../_n_e_threshold_kernel_8cpp.xhtml',1,'']]],
   ['nethresholdkernel_2eh',['NEThresholdKernel.h',['../_n_e_threshold_kernel_8h.xhtml',1,'']]],
+  ['netile_2ecpp',['NETile.cpp',['../_n_e_tile_8cpp.xhtml',1,'']]],
+  ['netile_2eh',['NETile.h',['../_n_e_tile_8h.xhtml',1,'']]],
+  ['netilekernel_2ecpp',['NETileKernel.cpp',['../_n_e_tile_kernel_8cpp.xhtml',1,'']]],
+  ['netilekernel_2eh',['NETileKernel.h',['../_n_e_tile_kernel_8h.xhtml',1,'']]],
   ['netranspose_2ecpp',['NETranspose.cpp',['../_n_e_transpose_8cpp.xhtml',1,'']]],
   ['netranspose_2eh',['NETranspose.h',['../_n_e_transpose_8h.xhtml',1,'']]],
   ['netransposekernel_2ecpp',['NETransposeKernel.cpp',['../_n_e_transpose_kernel_8cpp.xhtml',1,'']]],
   ['netransposekernel_2eh',['NETransposeKernel.h',['../_n_e_transpose_kernel_8h.xhtml',1,'']]],
+  ['neunstack_2ecpp',['NEUnstack.cpp',['../_n_e_unstack_8cpp.xhtml',1,'']]],
+  ['neunstack_2eh',['NEUnstack.h',['../_n_e_unstack_8h.xhtml',1,'']]],
   ['neupsamplelayer_2ecpp',['NEUpsampleLayer.cpp',['../_n_e_upsample_layer_8cpp.xhtml',1,'']]],
   ['neupsamplelayer_2eh',['NEUpsampleLayer.h',['../_n_e_upsample_layer_8h.xhtml',1,'']]],
   ['neupsamplelayerkernel_2ecpp',['NEUpsampleLayerKernel.cpp',['../_n_e_upsample_layer_kernel_8cpp.xhtml',1,'']]],
@@ -432,8 +485,11 @@
   ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../_c_l_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_non_linear_filter_8cpp.xhtml',1,'(Global Namespace)']]],
   ['nonlinearfilter_2eh',['NonLinearFilter.h',['../_non_linear_filter_8h.xhtml',1,'']]],
   ['nonmax_2ecl',['nonmax.cl',['../nonmax_8cl.xhtml',1,'']]],
+  ['nonmaximalsuppression_2ecpp',['NonMaximalSuppression.cpp',['../_non_maximal_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2ecpp',['NonMaximaSuppression.cpp',['../_non_maxima_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2eh',['NonMaximaSuppression.h',['../_non_maxima_suppression_8h.xhtml',1,'']]],
+  ['nonmaxsuppression_2ecpp',['NonMaxSuppression.cpp',['../_non_max_suppression_8cpp.xhtml',1,'']]],
+  ['nonmaxsuppression_2eh',['NonMaxSuppression.h',['../_non_max_suppression_8h.xhtml',1,'']]],
   ['normalization_5flayer_2ecl',['normalization_layer.cl',['../normalization__layer_8cl.xhtml',1,'']]],
   ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_c_l_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_normalization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['normalizationlayer_2eh',['NormalizationLayer.h',['../_normalization_layer_8h.xhtml',1,'']]],
@@ -444,5 +500,6 @@
   ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['normalizeplanaryuvlayer_2eh',['NormalizePlanarYUVLayer.h',['../_normalize_planar_y_u_v_layer_8h.xhtml',1,'']]],
   ['normalizeplanaryuvlayernode_2ecpp',['NormalizePlanarYUVLayerNode.cpp',['../_normalize_planar_y_u_v_layer_node_8cpp.xhtml',1,'']]],
-  ['normalizeplanaryuvlayernode_2eh',['NormalizePlanarYUVLayerNode.h',['../_normalize_planar_y_u_v_layer_node_8h.xhtml',1,'']]]
+  ['normalizeplanaryuvlayernode_2eh',['NormalizePlanarYUVLayerNode.h',['../_normalize_planar_y_u_v_layer_node_8h.xhtml',1,'']]],
+  ['not_2eh',['not.h',['../not_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_e.html b/documentation/search/files_e.html
index 6f84762..4bfc8dd 100644
--- a/documentation/search/files_e.html
+++ b/documentation/search/files_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_e.js b/documentation/search/files_e.js
index 4cd52e8..3b03680 100644
--- a/documentation/search/files_e.js
+++ b/documentation/search/files_e.js
@@ -18,6 +18,7 @@
   ['opticalflow_2ecpp',['OpticalFlow.cpp',['../benchmark_2_c_l_2_optical_flow_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_optical_flow_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_optical_flow_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_optical_flow_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_optical_flow_8cpp.xhtml',1,'(Global Namespace)']]],
   ['opticalflow_2eh',['OpticalFlow.h',['../_optical_flow_8h.xhtml',1,'']]],
   ['option_2eh',['Option.h',['../_option_8h.xhtml',1,'']]],
+  ['orr_2eh',['orr.h',['../orr_8h.xhtml',1,'']]],
   ['outputnode_2ecpp',['OutputNode.cpp',['../_output_node_8cpp.xhtml',1,'']]],
   ['outputnode_2eh',['OutputNode.h',['../_output_node_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_f.html b/documentation/search/files_f.html
index 7568063..f5e13b5 100644
--- a/documentation/search/files_f.html
+++ b/documentation/search/files_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="files_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/files_f.js b/documentation/search/files_f.js
index 29d3891..bfebe50 100644
--- a/documentation/search/files_f.js
+++ b/documentation/search/files_f.js
@@ -1,9 +1,8 @@
 var searchData=
 [
   ['padd_2eh',['padd.h',['../padd_8h.xhtml',1,'']]],
-  ['padding_2ecpp',['Padding.cpp',['../_padding_8cpp.xhtml',1,'']]],
   ['paddingcalculator_2eh',['PaddingCalculator.h',['../_padding_calculator_8h.xhtml',1,'']]],
-  ['padlayer_2ecpp',['PadLayer.cpp',['../_pad_layer_8cpp.xhtml',1,'']]],
+  ['padlayer_2ecpp',['PadLayer.cpp',['../_c_l_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_pad_layer_8cpp.xhtml',1,'(Global Namespace)']]],
   ['padlayer_2eh',['PadLayer.h',['../_pad_layer_8h.xhtml',1,'']]],
   ['padlayernode_2ecpp',['PadLayerNode.cpp',['../_pad_layer_node_8cpp.xhtml',1,'']]],
   ['padlayernode_2eh',['PadLayerNode.h',['../_pad_layer_node_8h.xhtml',1,'']]],
@@ -21,6 +20,8 @@
   ['pixelwise_5fmul_5fint_2ecl',['pixelwise_mul_int.cl',['../pixelwise__mul__int_8cl.xhtml',1,'']]],
   ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_pixel_wise_multiplication_8cpp.xhtml',1,'(Global Namespace)']]],
   ['pixelwisemultiplication_2eh',['PixelWiseMultiplication.h',['../_pixel_wise_multiplication_8h.xhtml',1,'']]],
+  ['pmax_2eh',['pmax.h',['../pmax_8h.xhtml',1,'']]],
+  ['pmin_2eh',['pmin.h',['../pmin_8h.xhtml',1,'']]],
   ['pmu_2ecpp',['PMU.cpp',['../_p_m_u_8cpp.xhtml',1,'']]],
   ['pmu_2eh',['PMU.h',['../_p_m_u_8h.xhtml',1,'']]],
   ['pmucounter_2ecpp',['PMUCounter.cpp',['../_p_m_u_counter_8cpp.xhtml',1,'']]],
@@ -33,6 +34,7 @@
   ['poolinglayernode_2eh',['PoolingLayerNode.h',['../_pooling_layer_node_8h.xhtml',1,'']]],
   ['poolmanager_2ecpp',['PoolManager.cpp',['../_pool_manager_8cpp.xhtml',1,'']]],
   ['poolmanager_2eh',['PoolManager.h',['../_pool_manager_8h.xhtml',1,'']]],
+  ['pow_2eh',['pow.h',['../pow_8h.xhtml',1,'']]],
   ['prettyprinter_2ecpp',['PrettyPrinter.cpp',['../_pretty_printer_8cpp.xhtml',1,'']]],
   ['prettyprinter_2eh',['PrettyPrinter.h',['../_pretty_printer_8h.xhtml',1,'']]],
   ['printer_2ecpp',['Printer.cpp',['../_printer_8cpp.xhtml',1,'']]],
diff --git a/documentation/search/functions_0.html b/documentation/search/functions_0.html
index 4e6d87d..bc73761 100644
--- a/documentation/search/functions_0.html
+++ b/documentation/search/functions_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_0.js b/documentation/search/functions_0.js
index 52c51f2..8e2591a 100644
--- a/documentation/search/functions_0.js
+++ b/documentation/search/functions_0.js
@@ -4,8 +4,8 @@
   ['absdiff',['absdiff',['../absdiff_8cl.xhtml#abd1c22f3b8c5d2d0a1de36f45c38b88f',1,'absdiff.cl']]],
   ['absolute_5fdifference',['absolute_difference',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4be63f36f5a22cb9f23c4ad003998c83',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab072e4246c7e802843a8d65ba4351dd0',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb49abe2b0391bf36a561dff9130f07d',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acbda304aed5292da9c067c4e3fd99b20',1,'arm_compute::test::validation::reference::absolute_difference(const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type)']]],
   ['absolutetolerance',['AbsoluteTolerance',['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a98a801b3455152020b7543995eeb3224',1,'arm_compute::test::validation::AbsoluteTolerance::AbsoluteTolerance()=default'],['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a0856d709c655f740d93b50e9121a7aa3',1,'arm_compute::test::validation::AbsoluteTolerance::AbsoluteTolerance(T value)']]],
-  ['accept',['accept',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a',1,'arm_compute::graph::INode::accept()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ActivationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BatchNormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BoundingBoxTransformLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ChannelShuffleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConcatenateLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConstNode::accept()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DeconvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DummyNode::accept()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::EltwiseLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FlattenLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FullyConnectedLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::GenerateProposalsLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::InputNode::accept()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::OutputNode::accept()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PadLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PermuteLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PoolingLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PriorBoxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReorgLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReshapeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ResizeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ROIAlignLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SliceLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SoftmaxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SplitLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::UpsampleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::YOLOLayerNode::accept()']]],
-  ['access_5ftensor',['access_tensor',['../classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665',1,'arm_compute::graph::ITensorAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::PPMWriter::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DummyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ImageAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationInputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::TopNPredictionsAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::RandomAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyBinLoader::access_tensor()']]],
+  ['accept',['accept',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a69a6e8613e2e1b00de98610c2ae6288a',1,'arm_compute::graph::INode::accept()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ActivationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BatchNormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::BoundingBoxTransformLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ChannelShuffleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConcatenateLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConstNode::accept()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DeconvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DetectionOutputLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::DummyNode::accept()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::EltwiseLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FlattenLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::FullyConnectedLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::GenerateProposalsLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::InputNode::accept()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizationLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::OutputNode::accept()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PadLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PermuteLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PoolingLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::PriorBoxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReorgLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ReshapeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ResizeLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::ROIAlignLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SliceLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SoftmaxLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::SplitLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::UpsampleLayerNode::accept()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f',1,'arm_compute::graph::YOLOLayerNode::accept()']]],
+  ['access_5ftensor',['access_tensor',['../classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665',1,'arm_compute::graph::ITensorAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::PPMWriter::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DummyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ImageAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationInputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::ValidationOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::DetectionOutputAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::TopNPredictionsAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::RandomAccessor::access_tensor()'],['../classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca',1,'arm_compute::graph_utils::NumPyBinLoader::access_tensor()']]],
   ['accessor',['accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a761495426edf3b875f67a8f4c3a199b5',1,'arm_compute::graph::Tensor::accessor()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5',1,'arm_compute::test::Accessor::Accessor(Tensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a1dc30c7bdc2d650f29ed45ec5110a0c6',1,'arm_compute::test::Accessor::Accessor(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ae15e08764c8bb788c6b275244e0f3205',1,'arm_compute::test::Accessor::Accessor(Accessor &amp;&amp;)=default']]],
   ['accesswindowautopadding',['AccessWindowAutoPadding',['../classarm__compute_1_1_access_window_auto_padding.xhtml#a55ae8ac3b55093b24fe30805828de164',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(ITensorInfo *info)'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#ae196752aa67bd2acb53c83b48f22dcce',1,'arm_compute::AccessWindowAutoPadding::AccessWindowAutoPadding(AccessWindowAutoPadding &amp;&amp;)=default']]],
   ['accesswindowhorizontal',['AccessWindowHorizontal',['../classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f',1,'arm_compute::AccessWindowHorizontal']]],
@@ -21,6 +21,7 @@
   ['activation_5finfo',['activation_info',['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818',1,'arm_compute::graph::ActivationLayerNode::activation_info()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818',1,'arm_compute::graph::YOLOLayerNode::activation_info()']]],
   ['activation_5flayer',['activation_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4512d2774e329c7d4ed7426a8caa22ce',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; T &gt; &amp;src, ActivationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab45edd626ed376e74792b87d59ac7913',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; float &gt; &amp;src, ActivationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af2f52d261a58bf104da93a90f0171c34',1,'arm_compute::test::validation::reference::activation_layer(const SimpleTensor&lt; half &gt; &amp;src, ActivationLayerInfo info)']]],
   ['activation_5flayer_3c_20uint8_5ft_20_3e',['activation_layer&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a40d48c83ab729abc2906a6eaa2edb81f',1,'arm_compute::test::validation::reference']]],
+  ['activation_5flayer_5flogistic_5fqa8',['activation_layer_logistic_qa8',['../activation__layer__qa8_8cl.xhtml#a50bf6cff7ebeaf08c0ec368a07e147df',1,'activation_layer_qa8.cl']]],
   ['activationlayer',['ActivationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#ae538c5265a9f26cac7d41eeca26a60a0',1,'arm_compute::graph::frontend::ActivationLayer']]],
   ['activationlayerinfo',['ActivationLayerInfo',['../classarm__compute_1_1_activation_layer_info.xhtml#ac06d9557031b0febb70869efd793cb38',1,'arm_compute::ActivationLayerInfo::ActivationLayerInfo()=default'],['../classarm__compute_1_1_activation_layer_info.xhtml#af56abff12f887fddfa02e0bc18a318a1',1,'arm_compute::ActivationLayerInfo::ActivationLayerInfo(ActivationFunction f, float a=0.0f, float b=0.0f)']]],
   ['activationlayernode',['ActivationLayerNode',['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a40594431d9de2c931d4b0946c44af55e',1,'arm_compute::graph::ActivationLayerNode']]],
@@ -45,7 +46,8 @@
   ['add_5fdata_5ftest_5fcase',['add_data_test_case',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654',1,'arm_compute::test::framework::Framework']]],
   ['add_5fdeconvolution_5fnode',['add_deconvolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1bdbfd685e3b270aa4e80ddd655de692',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fdecorator',['add_decorator',['../classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d',1,'arm_compute::logging::Logger']]],
-  ['add_5fdepthwise_5fconvolution_5fnode',['add_depthwise_convolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a65107cd0cd29562a65d5db3233ff1bcd',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fdepthwise_5fconvolution_5fnode',['add_depthwise_convolution_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2b362057b57528432ab4aa8f6538cabf',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fdetection_5foutput_5fnode',['add_detection_output_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a6bd3ea8226e51ae6810263f6fffe5f6e',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fdummy_5fnode',['add_dummy_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5felementwise_5fnode',['add_elementwise_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fflatten_5fnode',['add_flatten_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad',1,'arm_compute::graph::GraphBuilder']]],
@@ -73,6 +75,7 @@
   ['add_5freshape_5fnode',['add_reshape_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fresize_5fnode',['add_resize_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5froi_5falign_5fnode',['add_roi_align_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb',1,'arm_compute::graph::GraphBuilder']]],
+  ['add_5fsat',['add_sat',['../namespacearm__compute_1_1wrapper.xhtml#ac4358b7409261f013124bd6068aeee79',1,'arm_compute::wrapper::add_sat(const uint8_t &amp;a, const uint8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8a782c9af673065e72ac33de6a95cb49',1,'arm_compute::wrapper::add_sat(const int16_t &amp;a, const int16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a350f25870874602bdc7de9630397bdd0',1,'arm_compute::wrapper::add_sat(const float &amp;a, const float &amp;b)']]],
   ['add_5fscale_5flayer',['add_scale_layer',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fslice_5fnode',['add_slice_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203',1,'arm_compute::graph::GraphBuilder']]],
   ['add_5fsoftmax_5fnode',['add_softmax_node',['../classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5',1,'arm_compute::graph::GraphBuilder']]],
@@ -107,14 +110,12 @@
   ['are_5fall_5ffinalized',['are_all_finalized',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312',1,'arm_compute::ILifetimeManager::are_all_finalized()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d',1,'arm_compute::ISimpleLifetimeManager::are_all_finalized()']]],
   ['are_5freshaped',['are_reshaped',['../classarm__compute_1_1_weights_info.xhtml#a54a5271cc6a1b58827a9b3f58ec5ba56',1,'arm_compute::WeightsInfo']]],
   ['area',['area',['../classarm__compute_1_1_size2_d.xhtml#a75026dc1fa3840404ae4553010efcd52',1,'arm_compute::Size2D']]],
-  ['arithmetic_5fdiv',['arithmetic_div',['../arithmetic__op_8cl.xhtml#a4bdb5542734912e416f2edfec1ed815a',1,'arithmetic_op.cl']]],
   ['arithmetic_5fdivision',['arithmetic_division',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad3ab69a504e69097ee96b458cb26e011',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1729a8530c6b38895574c9a2eebc6f05',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType data_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae6fc7ed5c0825af21afdcff5b3123ab5',1,'arm_compute::test::validation::reference::arithmetic_division(const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType data_type)']]],
-  ['arithmetic_5foperation',['arithmetic_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9af191573bdcb8e1b0be4b10ba5954',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, SimpleTensor&lt; T &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab62fc402bd31dac7ecc11e0e552a5677',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, SimpleTensor&lt; uint8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0831e2e20c18485e6215da7b5e436925',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, SimpleTensor&lt; int16_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ada7fe073f944fb1b7cb51a2670a535ed',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, SimpleTensor&lt; int8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1b2a270356485590cf68a5183d91719f',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, SimpleTensor&lt; half &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a354f939352bc451b0aa580b11eae2938',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, SimpleTensor&lt; float &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a41815e938f6643786fe39fad6e362d81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a959ed2a631143019befcec806b170a33',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a68db47ae9daa7898dc9544432868c7d4',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a625413f973c546077e9ccdd4ff09b85e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0520d1a68a245f80c8ee12d6670c0464',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)']]],
-  ['arithmetic_5fsub',['arithmetic_sub',['../arithmetic__op_8cl.xhtml#a9013d9d4bb677a7ece17d662186fd578',1,'arithmetic_op.cl']]],
+  ['arithmetic_5foperation',['arithmetic_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9af191573bdcb8e1b0be4b10ba5954',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, SimpleTensor&lt; T &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaa61583632c4ba9f979ef7694376f6d4',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, SimpleTensor&lt; uint8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a24e68c017ceaf121e3eaacc871b239a5',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, SimpleTensor&lt; int16_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5ec33e48961de1cd1e68b0132f674f96',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, SimpleTensor&lt; int8_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5db9557ac53637ea72421b32386f9e40',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, SimpleTensor&lt; half &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff2a214f6417b4641928bd533da4960c',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, SimpleTensor&lt; float &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a41815e938f6643786fe39fad6e362d81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a554906dce7e96493648d8d63de9bf37e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07939197761c818f07b5e3ff8553fa8c',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int8_t &gt; &amp;src1, const SimpleTensor&lt; int8_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2af6bc180bf7d3b3b82a528ee1c1b572',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a89bf6564436779db314a3c36b7d1fa88',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03fab65218f4bac85ecc134484ab3b81',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int32_t &gt; &amp;src1, const SimpleTensor&lt; int32_t &gt; &amp;src2, SimpleTensor&lt; int32_t &gt; &amp;dst, ConvertPolicy convert_policy)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7cc0449246a464e6bb09502ba1b1180e',1,'arm_compute::test::validation::reference::arithmetic_operation(ArithmeticOperation op, const SimpleTensor&lt; int32_t &gt; &amp;src1, const SimpleTensor&lt; int32_t &gt; &amp;src2, DataType dst_data_type, ConvertPolicy convert_policy)']]],
   ['arithmetic_5fto_5fstring',['arithmetic_to_string',['../namespacearm__compute_1_1test.xhtml#a93690f80f7fb88ea733fdc6f9f3b3ada',1,'arm_compute::test']]],
   ['arm_5fcompute_5fassert_5fequal_5fimpl',['ARM_COMPUTE_ASSERT_EQUAL_IMPL',['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml#af78c3c4f8aca44d2ba3de3af92cd0f96',1,'arm_compute::test::framework::detail']]],
   ['arm_5fcompute_5fassert_5fnot_5fequal_5fimpl',['ARM_COMPUTE_ASSERT_NOT_EQUAL_IMPL',['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml#aaa05b2025b37c285ce6e9edfb437fc06',1,'arm_compute::test::framework::detail']]],
-  ['arm_5fcompute_5fexpect',['ARM_COMPUTE_EXPECT',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(dst.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7af1f415dd7596057e3762fb9578b6d5',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(a.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a377dba528b66d44ab5b2c9b16dab9bfb',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(b.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ccc6dd4b02114eccc4d7652dcf03efd',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(c.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a475c8344ecb61fa6f5d207b960daed9f',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(in.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bbe5517014347ddf1e1627477404621',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(out.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebfc2f8ea56e865959855650b84d9237',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(shape.num_dimensions()==dimension+1, framework::LogLevel::ERRORS)']]],
+  ['arm_5fcompute_5fexpect',['ARM_COMPUTE_EXPECT',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(dst.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4723dcafb6cb17bc56a7ef564beba6bf',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(weights.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a3a4ff1ec017f023aa950ddc43434e8',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(bias.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a230a5295f65fab5a7ad5028c1f2561b2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(src.info() -&gt;quantization_info()==src_quantization_info, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c77cc4c8d5ea17105cebb7abdda28c2',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(weights.info() -&gt;quantization_info()==weights_quantization_info, framework::LogLevel::ERRORS)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebfc2f8ea56e865959855650b84d9237',1,'arm_compute::test::validation::ARM_COMPUTE_EXPECT(shape.num_dimensions()==dimension+1, framework::LogLevel::ERRORS)']]],
   ['arm_5fcompute_5fexpect_5fequal_5fimpl',['ARM_COMPUTE_EXPECT_EQUAL_IMPL',['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml#ae9bc925970822e824eb1f740d46f2e8a',1,'arm_compute::test::framework::detail']]],
   ['arm_5fcompute_5fexpect_5fnot_5fequal_5fimpl',['ARM_COMPUTE_EXPECT_NOT_EQUAL_IMPL',['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml#a8d2500614dd09dd9edf7df40934e7a77',1,'arm_compute::test::framework::detail']]],
   ['arm_5fcompute_5fprint_5finfo',['ARM_COMPUTE_PRINT_INFO',['../namespacearm__compute_1_1test_1_1framework.xhtml#a7457955ed1c49b6478071caa7b5c5be2',1,'arm_compute::test::framework']]],
diff --git a/documentation/search/functions_1.html b/documentation/search/functions_1.html
index b343e2d..bfcf880 100644
--- a/documentation/search/functions_1.html
+++ b/documentation/search/functions_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_1.js b/documentation/search/functions_1.js
index 638ff03..15514d8 100644
--- a/documentation/search/functions_1.js
+++ b/documentation/search/functions_1.js
@@ -1,11 +1,12 @@
 var searchData=
 [
   ['b',['b',['../classarm__compute_1_1_activation_layer_info.xhtml#a02a00a5d20986f3a7ab72b9c86be3a54',1,'arm_compute::ActivationLayerInfo']]],
-  ['b_5fis_5fpretransposed',['B_is_pretransposed',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmInterleaved::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvBatched::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvPretransposed::B_is_pretransposed()']]],
-  ['b_5fpretranspose_5frequired',['B_pretranspose_required',['../classarm__gemm_1_1_gemm_interleaved.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmInterleaved::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_batched.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvBatched::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvPretransposed::B_pretranspose_required()']]],
+  ['b_5fis_5fpretransposed',['B_is_pretransposed',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmHybrid::B_is_pretransposed()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemmInterleaved::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvBatched::B_is_pretransposed()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ac5dec5063a75604fdc60555f15577b94',1,'arm_gemm::GemvPretransposed::B_is_pretransposed()']]],
+  ['b_5fpretranspose_5frequired',['B_pretranspose_required',['../classarm__gemm_1_1_gemm_hybrid.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmHybrid::B_pretranspose_required()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemmInterleaved::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_batched.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvBatched::B_pretranspose_required()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#aa7cfff39cbb2be65cd40042a75e5ae1c',1,'arm_gemm::GemvPretransposed::B_pretranspose_required()']]],
   ['backend_5fallocator',['backend_allocator',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::CLDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::GCDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ae6b65acad7e828cac1385f7efd5e1ac3',1,'arm_compute::graph::backends::NEDeviceBackend::backend_allocator()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#ac37337ce735ea0bc448d31f719392993',1,'arm_compute::graph::backends::IDeviceBackend::backend_allocator()']]],
   ['backendregistrar',['BackendRegistrar',['../classarm__compute_1_1graph_1_1backends_1_1detail_1_1_backend_registrar.xhtml#a9ad59cb425b913c7634f59dd9c380010',1,'arm_compute::graph::backends::detail::BackendRegistrar']]],
   ['backends',['backends',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#af0cb8edaa2dd7d982b8bf63ddfb3f966',1,'arm_compute::graph::backends::BackendRegistry']]],
+  ['background_5flabel_5fid',['background_label_id',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a158d49c7c1df3c6c6589b47d3de56cf0',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['batch_5fnormalization_5flayer',['batch_normalization_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b59ab07308c9b51bfb23f6c8bd21021',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;mean, const SimpleTensor&lt; T &gt; &amp;var, const SimpleTensor&lt; T &gt; &amp;beta, const SimpleTensor&lt; T &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c46a385d4a694b228d527433901b92',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;mean, const SimpleTensor&lt; float &gt; &amp;var, const SimpleTensor&lt; float &gt; &amp;beta, const SimpleTensor&lt; float &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aac19e9350e59de09cc88646b5352f7fb',1,'arm_compute::test::validation::reference::batch_normalization_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;mean, const SimpleTensor&lt; half &gt; &amp;var, const SimpleTensor&lt; half &gt; &amp;beta, const SimpleTensor&lt; half &gt; &amp;gamma, float epsilon, ActivationLayerInfo act_info)']]],
   ['batch_5fto_5fspace',['batch_to_space',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa759ea865a99fcd45399d91506056f3d',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a71aee17712ae0fcf913df5d651cd5eb3',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5795210429190bccc66045566a47edf5',1,'arm_compute::test::validation::reference::batch_to_space(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; int32_t &gt; &amp;block_shape, const TensorShape &amp;dst_shape)']]],
   ['batchnormalizationlayer',['BatchNormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a5a6d29d97205186313cf48823a2dce8a',1,'arm_compute::graph::frontend::BatchNormalizationLayer']]],
@@ -24,11 +25,12 @@
   ['bitwise_5fnot',['bitwise_not',['../bitwise__op_8cl.xhtml#a86ffd3a69cd5489dc19c3b284c87754f',1,'bitwise_not():&#160;bitwise_op.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af4713d48a2398823bcfd449c2aafef30',1,'arm_compute::test::validation::reference::bitwise_not(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a003581bd71ae054b9b7ff70d975856d8',1,'arm_compute::test::validation::reference::bitwise_not(const SimpleTensor&lt; uint8_t &gt; &amp;src)']]],
   ['bitwise_5for',['bitwise_or',['../bitwise__op_8cl.xhtml#a4b8ef6799be6362c31b39a159cd9f48b',1,'bitwise_or():&#160;bitwise_op.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abe5e573ce60f341bbeebd0498d8e499b',1,'arm_compute::test::validation::reference::bitwise_or(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a89ed2687d967ec8a8ffc24195fbda72e',1,'arm_compute::test::validation::reference::bitwise_or(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2)']]],
   ['bitwise_5fxor',['bitwise_xor',['../bitwise__op_8cl.xhtml#a799450deb5ec2b1f8402eb3302b51996',1,'bitwise_xor():&#160;bitwise_op.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aade8c313bbf87320b8b8f81c5ff5aeac',1,'arm_compute::test::validation::reference::bitwise_xor(const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af05c4e8f9356af6f59bb1e7f48b97d4d',1,'arm_compute::test::validation::reference::bitwise_xor(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2)']]],
+  ['blobinfo',['BlobInfo',['../structarm__compute_1_1_blob_info.xhtml#a11702cc272b3bf3c15074162cf3b7a05',1,'arm_compute::BlobInfo']]],
   ['bloblifetimemanager',['BlobLifetimeManager',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#aa896b8c8ef0043ee483a7b2942eb4342',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager()'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a58a361291909005f0f134b2348ddf94c',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a837e96785150ad6755e67589293bb16a',1,'arm_compute::BlobLifetimeManager::BlobLifetimeManager(BlobLifetimeManager &amp;&amp;)=default']]],
-  ['blobmemorypool',['BlobMemoryPool',['../classarm__compute_1_1_blob_memory_pool.xhtml#ae4697b43125a5f2498131d794b44d950',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(IAllocator *allocator, std::vector&lt; size_t &gt; blob_sizes)'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae3f7b519f24156d81c6cb74af7803c06',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae5fe157f7be806bedd55e5c116a21995',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(BlobMemoryPool &amp;&amp;)=default']]],
+  ['blobmemorypool',['BlobMemoryPool',['../classarm__compute_1_1_blob_memory_pool.xhtml#a62bb579b23f7c2202b6c24e31fa02d3d',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(IAllocator *allocator, std::vector&lt; BlobInfo &gt; blob_info)'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae3f7b519f24156d81c6cb74af7803c06',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#ae5fe157f7be806bedd55e5c116a21995',1,'arm_compute::BlobMemoryPool::BlobMemoryPool(BlobMemoryPool &amp;&amp;)=default']]],
   ['block_5fsize',['block_size',['../classarm__compute_1_1_h_o_g_info.xhtml#ae561964ccc0e0a5750676b9c7dd7cd44',1,'arm_compute::HOGInfo']]],
   ['block_5fstride',['block_stride',['../classarm__compute_1_1_h_o_g_info.xhtml#a207391d3ac69d9a0839104f784f888fd',1,'arm_compute::HOGInfo']]],
-  ['border_5fsize',['border_size',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticAdditionKernel::border_size()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticDivisionKernel::border_size()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLBox3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::border_size()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDerivativeKernel::border_size()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDilateKernel::border_size()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLErodeKernel::border_size()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLFastCornersKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLReductionOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLRemapKernel::border_size()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScaleKernel::border_size()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpAffineKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpPerspectiveKernel::border_size()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWinogradInputTransformKernel::border_size()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCScaleKernel::border_size()'],['../classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd',1,'arm_compute::IKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticAdditionKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEBox3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeTraceKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDerivativeKernel::border_size()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDilateKernel::border_size()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEErodeKernel::border_size()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEFastCornersKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEIntegralImageKernel::border_size()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELKTrackerKernel::border_size()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEReductionOperationKernel::border_size()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NERemapKernel::border_size()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScaleKernel::border_size()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELogits1DMaxKernel::border_size()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::INEWarpKernel::border_size()']]],
+  ['border_5fsize',['border_size',['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLBox3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLComparisonKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::border_size()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::border_size()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDerivativeKernel::border_size()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDilateKernel::border_size()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLElementwiseOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLErodeKernel::border_size()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLFastCornersKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLReductionOperationKernel::border_size()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLRemapKernel::border_size()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScaleKernel::border_size()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel3x3Kernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLSobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpAffineKernel::border_size()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWarpPerspectiveKernel::border_size()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::CLWinogradInputTransformKernel::border_size()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCNormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::GCScaleKernel::border_size()'],['../classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd',1,'arm_compute::IKernel::border_size()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEArithmeticSubtractionKernel::border_size()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEBox3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::border_size()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEEdgeTraceKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionHorKernel::border_size()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESeparableConvolutionVertKernel::border_size()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEConvolutionRectangleKernel::border_size()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthConcatenateLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDerivativeKernel::border_size()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDilateKernel::border_size()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEDirectConvolutionLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEErodeKernel::border_size()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEFastCornersKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussian5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidHorKernel::border_size()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGaussianPyramidVertKernel::border_size()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::border_size()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEHarrisScoreKernel::border_size()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEIntegralImageKernel::border_size()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELKTrackerKernel::border_size()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMeanStdDevKernel::border_size()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEMedian3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonLinearFilterKernel::border_size()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENonMaximaSuppression3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NENormalizationLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPixelWiseMultiplicationKernel::border_size()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEPoolingLayerKernel::border_size()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEReductionOperationKernel::border_size()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NERemapKernel::border_size()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScaleKernel::border_size()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NEScharr3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel3x3Kernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel5x5VertKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7HorKernel::border_size()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NESobel7x7VertKernel::border_size()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::NELogits1DMaxKernel::border_size()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7',1,'arm_compute::INEWarpKernel::border_size()']]],
   ['bordersize',['BorderSize',['../structarm__compute_1_1_border_size.xhtml#ae97b3d4d063ade0ef4bdf5be1f135881',1,'arm_compute::BorderSize::BorderSize()'],['../structarm__compute_1_1_border_size.xhtml#a4ead5a6d48151a603bf3be1e6acafb05',1,'arm_compute::BorderSize::BorderSize(unsigned int size)'],['../structarm__compute_1_1_border_size.xhtml#a44089024084b73c5b83e509518df48e0',1,'arm_compute::BorderSize::BorderSize(unsigned int top_bottom, unsigned int left_right)'],['../structarm__compute_1_1_border_size.xhtml#a10a8505b7c7458d1f60cac844d42e023',1,'arm_compute::BorderSize::BorderSize(unsigned int top, unsigned int right, unsigned int bottom, unsigned int left)']]],
   ['bound_5fedges',['bound_edges',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a162e0616033f717ba5dbbe9d3a47219b',1,'arm_compute::graph::Tensor']]],
   ['bounding_5fbox_5ftransform',['bounding_box_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf07b6d2bb97c0f4ab096187a7221718',1,'arm_compute::test::validation::reference::bounding_box_transform(const SimpleTensor&lt; T &gt; &amp;boxes, const SimpleTensor&lt; T &gt; &amp;deltas, const BoundingBoxTransformInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1508c928b8a97a8381b8d441ad1417c2',1,'arm_compute::test::validation::reference::bounding_box_transform(const SimpleTensor&lt; float &gt; &amp;boxes, const SimpleTensor&lt; float &gt; &amp;deltas, const BoundingBoxTransformInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a137920e5250375eeb4bc273a5d23aba2',1,'arm_compute::test::validation::reference::bounding_box_transform(const SimpleTensor&lt; half &gt; &amp;boxes, const SimpleTensor&lt; half &gt; &amp;deltas, const BoundingBoxTransformInfo &amp;info)']]],
@@ -42,7 +44,7 @@
   ['broadcast_5fif_5fdimension_5fle_5fone',['broadcast_if_dimension_le_one',['../classarm__compute_1_1_window.xhtml#ae20ec28555d4473419cae37cf120f35d',1,'arm_compute::Window::broadcast_if_dimension_le_one(const TensorShape &amp;shape) const'],['../classarm__compute_1_1_window.xhtml#a8a8a12cc3cc3d07d9914cfa5f94b3ee5',1,'arm_compute::Window::broadcast_if_dimension_le_one(const ITensorInfo &amp;info) const']]],
   ['broadcast_5fshape',['broadcast_shape',['../classarm__compute_1_1_tensor_shape.xhtml#a244a32cac2f5011bd0fc49700bf3d5de',1,'arm_compute::TensorShape']]],
   ['broadcast_5fshape_5fand_5fvalid_5fregion',['broadcast_shape_and_valid_region',['../classarm__compute_1_1_i_tensor_info.xhtml#ae056a42fb510e2fa170a74ab06ee31da',1,'arm_compute::ITensorInfo']]],
-  ['buffer',['Buffer',['../classarm__gemm_1_1_buffer.xhtml#a8bf60bd0f8a216c716ef58fea0606aee',1,'arm_gemm::Buffer::Buffer(Buffer &amp;)=delete'],['../classarm__gemm_1_1_buffer.xhtml#a53dae4cefe42f5ba80b09f65257b4fcb',1,'arm_gemm::Buffer::Buffer(void *storage, int maxusers)'],['../classarm__compute_1_1_i_c_l_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::ICLArray::buffer()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::ICLDistribution1D::buffer()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLLut::buffer()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLTensor::buffer()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::IGCTensor::buffer()'],['../classarm__compute_1_1_i_array.xhtml#a4b55468220c2029e7ee1594e34b2b21f',1,'arm_compute::IArray::buffer()'],['../classarm__compute_1_1_i_distribution.xhtml#a0eb5856c63562cb144938ed77d6823a0',1,'arm_compute::IDistribution::buffer()'],['../classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ILut::buffer()'],['../classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ITensor::buffer()'],['../classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::Array::buffer()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::ICLMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::ICLMemoryRegion::buffer() const override'],['../classarm__compute_1_1_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::Distribution1D::buffer()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::IGCMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::IGCMemoryRegion::buffer() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::GCTensor::buffer()'],['../classarm__compute_1_1_i_memory_region.xhtml#af4cf95f81e1b269a31d2d9a7e0429a24',1,'arm_compute::IMemoryRegion::buffer()=0'],['../classarm__compute_1_1_i_memory_region.xhtml#aeb4cf01e5d74997a1994272225baeb05',1,'arm_compute::IMemoryRegion::buffer() const =0'],['../classarm__compute_1_1_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Lut::buffer()'],['../classarm__compute_1_1_memory_region.xhtml#ab9ec7ea42f2074a78cc2bf89e4663a24',1,'arm_compute::MemoryRegion::buffer() final'],['../classarm__compute_1_1_memory_region.xhtml#a80776c0cd484c25f25e4e7d8198c4678',1,'arm_compute::MemoryRegion::buffer() const final'],['../classarm__compute_1_1_sub_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::SubTensor::buffer()'],['../classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Tensor::buffer()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::CLArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad',1,'arm_compute::test::IArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::ArrayAccessor::buffer()']]],
+  ['buffer',['buffer',['../classarm__compute_1_1_i_c_l_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::ICLArray::buffer()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::ICLDistribution1D::buffer()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLLut::buffer()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::ICLTensor::buffer()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::IGCTensor::buffer()'],['../classarm__compute_1_1_i_array.xhtml#a4b55468220c2029e7ee1594e34b2b21f',1,'arm_compute::IArray::buffer()'],['../classarm__compute_1_1_i_distribution.xhtml#a0eb5856c63562cb144938ed77d6823a0',1,'arm_compute::IDistribution::buffer()'],['../classarm__compute_1_1_i_lut.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ILut::buffer()'],['../classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf',1,'arm_compute::ITensor::buffer()'],['../classarm__compute_1_1_array.xhtml#a46fdef12397c4404e7706cba3568b42d',1,'arm_compute::Array::buffer()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::ICLMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::ICLMemoryRegion::buffer() const override'],['../classarm__compute_1_1_distribution1_d.xhtml#ac9740300f00d726c2720535d12c334f2',1,'arm_compute::Distribution1D::buffer()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a3d9d196240e9b0062c953c3abd534187',1,'arm_compute::IGCMemoryRegion::buffer() override'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#acdbd1d0a6ab2898e3b75231386c43f40',1,'arm_compute::IGCMemoryRegion::buffer() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::GCTensor::buffer()'],['../classarm__compute_1_1_i_memory_region.xhtml#af4cf95f81e1b269a31d2d9a7e0429a24',1,'arm_compute::IMemoryRegion::buffer()=0'],['../classarm__compute_1_1_i_memory_region.xhtml#aeb4cf01e5d74997a1994272225baeb05',1,'arm_compute::IMemoryRegion::buffer() const =0'],['../classarm__compute_1_1_lut.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Lut::buffer()'],['../classarm__compute_1_1_memory_region.xhtml#ab9ec7ea42f2074a78cc2bf89e4663a24',1,'arm_compute::MemoryRegion::buffer() final'],['../classarm__compute_1_1_memory_region.xhtml#a80776c0cd484c25f25e4e7d8198c4678',1,'arm_compute::MemoryRegion::buffer() const final'],['../classarm__compute_1_1_sub_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::SubTensor::buffer()'],['../classarm__compute_1_1_tensor.xhtml#a24954cca5108a24706441fd99a7fb04c',1,'arm_compute::Tensor::buffer()'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::CLArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a4e1979433c9e97e4797fdb060ca5e3ad',1,'arm_compute::test::IArrayAccessor::buffer()'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a32e914dbe65c0591501e44790957bb0f',1,'arm_compute::test::ArrayAccessor::buffer()'],['../classarm__gemm_1_1_buffer.xhtml#a8bf60bd0f8a216c716ef58fea0606aee',1,'arm_gemm::Buffer::Buffer(Buffer &amp;)=delete'],['../classarm__gemm_1_1_buffer.xhtml#a53dae4cefe42f5ba80b09f65257b4fcb',1,'arm_gemm::Buffer::Buffer(void *storage, int maxusers)']]],
   ['buffermanager',['BufferManager',['../classarm__gemm_1_1_buffer_manager.xhtml#afd75117a56b2f0e3932e7a55f63176bc',1,'arm_gemm::BufferManager::BufferManager(BufferManager &amp;)=delete'],['../classarm__gemm_1_1_buffer_manager.xhtml#a49b4e2b0c8c4da02a55bf479f0666b9e',1,'arm_gemm::BufferManager::BufferManager(const int maxthreads, const size_t buffersize, void *storage)']]],
   ['build',['build',['../classarm__compute_1_1_program.xhtml#a14c39544e9ac2c2fce1179bd99f093c4',1,'arm_compute::Program::build(const cl::Program &amp;program, const std::string &amp;build_options=&quot;&quot;)'],['../classarm__compute_1_1_program.xhtml#aeae6f29a93332f73bbb8371e43521476',1,'arm_compute::Program::build(const std::string &amp;build_options=&quot;&quot;) const']]],
   ['build_5faffine_5fmtx',['build_affine_mtx',['../warp__affine_8cl.xhtml#aecca3f284d1acabfa6d1bd8905dc036e',1,'warp_affine.cl']]],
diff --git a/documentation/search/functions_10.html b/documentation/search/functions_10.html
index 72bc1ea..d69badf 100644
--- a/documentation/search/functions_10.html
+++ b/documentation/search/functions_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_11.html b/documentation/search/functions_11.html
index 6948a61..2c14358 100644
--- a/documentation/search/functions_11.html
+++ b/documentation/search/functions_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_11.js b/documentation/search/functions_11.js
index 309cbf0..be04112 100644
--- a/documentation/search/functions_11.js
+++ b/documentation/search/functions_11.js
@@ -1,18 +1,18 @@
 var searchData=
 [
   ['randomaccessor',['RandomAccessor',['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)'],['../classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a220e3aa92e1b83c41e0df00505894a5a',1,'arm_compute::graph_utils::RandomAccessor::RandomAccessor(RandomAccessor &amp;&amp;)=default']]],
-  ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a39bcb5b07a60b37fb1d6b5c9f83f85e9',1,'arm_compute::IDistribution1D']]],
+  ['range',['range',['../classarm__compute_1_1_i_distribution1_d.xhtml#a39bcb5b07a60b37fb1d6b5c9f83f85e9',1,'arm_compute::IDistribution1D::range()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; T &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad7059348bb7b955422375b8759747abb',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; uint8_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a212bceee8ca9a28470ed0b9576f8f0da',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; float &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af736e2b03b30fa5c7c98b387d3625f7c',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; half &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7addbd608f3a8bc3d6b7bcd8bf31d6c6',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; int8_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6683ba7c5a30679bc9d47a6a67cd85ac',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; uint16_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3ab673882fe9a507e864e4cf0377ef33',1,'arm_compute::test::validation::reference::range(SimpleTensor&lt; int16_t &gt; &amp;dst, float start, const size_t num_of_elements, float step)']]],
   ['rangedataset',['RangeDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a8c87c8a244d6842642bdbcf8873b1e06',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(std::string name, T start, T end, T step=1)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#abbe90a5f39f36d8160747d349be64f36',1,'arm_compute::test::framework::dataset::RangeDataset::RangeDataset(RangeDataset &amp;&amp;)=default']]],
+  ['rangeduniformdistribution',['RangedUniformDistribution',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#acdb30d4796b1e97c4c7edd03da2b690b',1,'arm_compute::utils::random::RangedUniformDistribution']]],
   ['raw_5fdata',['raw_data',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a825ce38606348c854b147f0b19afb96c',1,'arm_compute::test::framework::Measurement']]],
   ['rawlutaccessor',['RawLutAccessor',['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(std::map&lt; T, T &gt; &amp;lut)'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac73e9acd175097a3afe144cb38c1c648',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ab52bde5747185f43a35b851d202dae64',1,'arm_compute::test::RawLutAccessor::RawLutAccessor(RawLutAccessor &amp;&amp;)=default']]],
   ['rawtensor',['RawTensor',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a370d2eeb42fcf98ffe3383f1089d48c5',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, Format format)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a895ebe3a982950356cb7d93599e977a2',1,'arm_compute::test::RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels=1)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#aef0b9d628bdb5fe0a533a20e6c49e29f',1,'arm_compute::test::RawTensor::RawTensor(SimpleTensor&lt; T &gt; &amp;&amp;tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#ac1b3afa1c0a4618768b43a7a0d930cd6',1,'arm_compute::test::RawTensor::RawTensor(const RawTensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a5dcfdb740cfee882a573929d51e3cf9b',1,'arm_compute::test::RawTensor::RawTensor(RawTensor &amp;&amp;)=default']]],
   ['read_5ffile',['read_file',['../namespacearm__compute.xhtml#ae0d288429eb20baf6da6109f3a21e6bb',1,'arm_compute']]],
   ['read_5ftexels4',['read_texels4',['../warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1',1,'warp_helpers.h']]],
   ['recurrent_5fto_5finput_5fweights',['recurrent_to_input_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a35e4b6311397e1f9532fb37560aa9996',1,'arm_compute::LSTMParams']]],
-  ['reduction_5foperation',['reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0959ac5a94af6e44f1e2b3124d6511f4',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa87350949ad1bfc7a723b31f9b08bf48',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afd7d86476c9344b6efa46ea55adbaf75',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a95c09e7aaee596b93c3e688c8de5c116',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)']]],
-  ['reduction_5foperation_5fx',['reduction_operation_x',['../reduction__operation_8cl.xhtml#ad5217f43d3fd3b5af7e7f0e0dae36286',1,'reduction_operation.cl']]],
+  ['reduction_5foperation',['reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af60a1dac48760822d607c1063ebbe6a7',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab30b1e08a80af30bfd156b37a1abb1cb',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a932891a0376da4e0e9f241198510579a',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abd88464f51da580f28e4bf4331d7971f',1,'arm_compute::test::validation::reference::reduction_operation(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int axis, ReductionOperation op)']]],
   ['region',['region',['../classarm__compute_1_1_c_l_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::CLMemory::region() final'],['../classarm__compute_1_1_c_l_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::CLMemory::region() const final'],['../classarm__compute_1_1_g_c_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::GCMemory::region() final'],['../classarm__compute_1_1_g_c_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::GCMemory::region() const final'],['../classarm__compute_1_1_i_memory.xhtml#ab2258b6ffc84dbbb1894448c4c4ff30c',1,'arm_compute::IMemory::region()=0'],['../classarm__compute_1_1_i_memory.xhtml#a27dab25f7225ed143200b499a0ce27e8',1,'arm_compute::IMemory::region() const =0'],['../classarm__compute_1_1_memory.xhtml#a146cb960b44f4b1fb11ef4420382021a',1,'arm_compute::Memory::region() final'],['../classarm__compute_1_1_memory.xhtml#a71ae8f88077f2d892643da1d89c48ac4',1,'arm_compute::Memory::region() const final']]],
-  ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8f717ff3fc3c08fc198699b72794909',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c6137a1a58215613a0f5b0db0fe39ee',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab5fe84e1085f741abab04b4d821123d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05ef984943c8d7da8579dfc0a5d7e99f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6629fe9c2413c8d78dbff71c3527557',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a336d334a55acab9dc40719f42a623d6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac3b83f97332d0af2c066392c0d0c385a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4ceb722841ee996004f926e323d07ddb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d7c5c1490675619b518fde0a89c334a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3110d9e17b2fed7a59da5069d55b21f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71624fad883b263ef7b1551195e19a78',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c581bbf035477ef229090525ae7d9c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4328aa51911dbced422bc5f1374c97c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8a3d4a326b999635418fd320a069e051',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b3799c76bc466c6423cf2f8a752181b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad503e02071cab2e13ef0801abdd0c341',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97550db9243678761ddb38280dd826fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f3062c305e7969eee012cf432c24596',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a124635f8b10320b4455601daf5b3c79e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8403220ebf3aefd218946561bbfd2b97',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4004862c92977b9ff4e06bc3846035b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2005c37de050ddb1b2d4bb11da0447dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a92b3ee2fcc563a0f4a44c078cc05f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb79998463382b7311bcf059d7486ec7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a49cf83c578e0ba7ba4706fb35200ae46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d68da6a68164bb16d77d1e557b20d1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36b6de2d4ed5bf8af8bd535ef38d75fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b146d2e09231c1471fc2e4bd1f3b128',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65b32653c55f72770c245d3fa4278121',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a777849e3541e0ee6639bf6e87f1975f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73e4f62985e7f7ceb19dfe45225d8b67',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a089c3967587901ac53fbae9236078b09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac70bb2f1a1f8bb55130fc1c8936c5c50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44058bc0e71c0fe1cc60e78efb2c61f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d1cefe8a632132b773f0c851663c18a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37b8e74b53fe13c61a98015e14518784',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86e82e9ff4b88f09f3e6fdcaa648e3a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeacb2c4ea3808efe7b53b8c7499fc50e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a779b3119cea86730153a49fa068d38f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a785883955ec28a4da99cfb87d75dfa8e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a374381807389133299d7ad40af1f52f9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a18d5e3cd4773c56cf110b15f4e531a66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9f22c5c84ccddd2a21ecc43e32cf62d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseSeparableConvolutionLayer, CLDepthwiseSeparableConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38f1923ee95713989bf0c88f113c6265',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, CLDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0dd702fa665a3913967d2358888a6481',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac69b8e819769eab70f8c59c2885e3413',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a670e11cac9944ed7a60800d30b35b862',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44fd9b3d4374ee2eac0bbdf47892dc7b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a21adbb35afcde51a66b4af4046ec411b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad27f2b2d0f3991cc8066efe4f6b2850a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afc8958d43d50bf76cd6bc6510f618a93',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1bf2067685426f4e637e11a153ddf149',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8d7c889387e998cc04d4b5943bd731ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72ce01118174a53114c6244cdace2942',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaff395c00ddf4de60ac3db3fa25dd839',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4bf19467c71f190f563eaff509b44496',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86fd448c4518f7bd66c0dde729795bfd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46e71c16217f24cdd0d1f929b4bbc57b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb90a54a6f00090059efd9fd4ad88b37',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Flatten, CLFlattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05d179d11539e3a2e103dd8ffcdabb6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abaaf4150acf57cdb752646732d4a8497',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb6c5a6dad25f46607bf18ba4b8a537f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0ffd1acebad54a188610ebf552682afb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad97aeefe40c8b77ebd52acf5403ba70e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a854bdabe0fa80187acfeed829fcbfee0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cc4d60e89dcd4148f61e64601cd33cc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac07c697a9fcf444cc4c40fc74cd3f2df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28897eaf05aeeec9d9c641e8d8c594af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c2eca4c70bb9efd10046abd0862ca22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf4ac350b9926548b9e5f1733c6f0b50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a67758981e21ab8f0fe4766925534bf1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c2d7327cc99d2034f1e62d683119d56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Small, CLGEMMInterleave4x4Fixture, framework::DatasetMode::ALL, small_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0f2fe468e52fdf59c6138ac8105345f5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Big, CLGEMMInterleave4x4Fixture, framework::DatasetMode::NIGHTLY, big_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1d48e15c7be8a45c2b728b5c3f06941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8efa7963298d783c90a889a0641316a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a75cd4ecf15af3d69df876354170802a8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6487e1c6181335668af736618fd75175',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::AlexNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac347366b1dc3027a3847eac3bf962411',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5c55e4bdf921ddda690999fc748dcc9c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fe5491a602d21f43582a6c152c6405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a639dead2c294e70a02dba42d89fc7470',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdbb1a633319ee35e084693b7030493d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a409f567eb6680bbbb5295c993a5b3d4d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e3e503c2b7a815297d82efc8c1961a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ea346443c42892bee3bff51d66ae13a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c52e79075ee58c3c54e2b7e41b4f68d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa381c21349af741ca7c38fe21fc839f7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83e00ebc65cd94796350dc272aef03e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab94a4e2729a6b05fc3c325ed7ac9baba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac481e46ab0f3b4c2099ef5aa6baa1158',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf51503968eff3a5682e55def86196bb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a768eb9c2b8ff754ad9874cbae0551acd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cf8721318bc0e99364e7fd7c7131d16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afed3b37f0d366e14275f0e7bc3dd57c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a303febdbb0bd20fcb08e1e9c01204a41',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a767bb4c24d3f10ef8f7df1998a7f751e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25762e1bd63d9d9ea61f686c305ddcb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9a1f8a5b4ec0e76d13b4ce08981042c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08a02d4645daa35c8682275ebd4b7631',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d30a95563225783604f9bc4875500c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a34a6a00d941e068fe8f68339ba34eae7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a298337d558d3140fbc6977ffd1dae318',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37cdd43d4e3ee5d24219b8e598b0f358',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8349a4aadac8be7ebb481554c9d9b85c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7eb5f5ab11becc4bb26ab739b98214cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dd9b9d119081dd23818b83fee75fb28',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af31dc32801e13b57ef0ba8b7c6b3d445',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acdb5d935210462b730906adfd2e166c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acec794dbb7f6c77bdefa188d83fc80c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af184664dd6a26cf0033aaa08086c8166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa02e5ce562079aab339c3ba2621119be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02ca91a6c0d63e1205a6a0b27cfabd56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d94743ce734d38d1d13fa3176f10778',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac72a34207876080af72a11fc15e486e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1fafc76fe74ce2a8778aa356d400d55',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a72dcaf1318a784cfe7a53c9ac27203',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af40b5ded15ece77611fd323c401fb826',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af5de9e9950e88b4f8ae838606730e330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97a5c3434c3234e4b1f4bb4729d4f610',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4d4104e5bf2e89104503e1605970b701',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a32d46130028346966574200df4f3400f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaeac2f5f2b60f6fcd6162630049ef1a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a23ab205742fe9cc0f257a43f11351e47',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44462bfadb6a17d68d22603e2bc21ee3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a306992d7991224f6c93ab2bd2cb8cc82',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ac9d0528424387587a34c8de12c93c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad32c7c18d077ec839615f4def1d36873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72137eb08df4d9f86b665d896e423c79',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, CLQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abd2d66b69693b552fe2b2de99dae7ccd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36a07a6af470661e63ff9c3629b4d5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645c5d8049df6be8802127b5a0f5dc6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ReshapeLayer, CLReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fac199d09d1da94a82aac9eabe53d8a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, CLROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f885760a2999df64ef74af8896f4752',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9006364fe01ad6003b9fd1e22e867f8b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a20b94f15214d7c47a2f3c5a789e4239d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7f0b47566794de8a1eba850c8a70de8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adbc6f044a841d3be870c15b2ddf20d14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a00327218cc49bc03f3b6212e511cd941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab40fb86088d18a1e1bb742593058659e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae5fb384579f031f7e2ca6a6c9e9a7bb9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7a5d7731ec1b78a57f8df17faa165cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, CLSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7309826f753a35d7d0b6894761ecfd3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, CLSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa93e0813e4037a192c5e89ceb98c4597',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a78edddf8941fa2a0f3641a30b7473330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a784d4dd06dfc9cd36022f140d40255eb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28838403c9e6de78e0174642f248e640',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3ed4058cf4b82dfdebbcc6e78a60678b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dfbc031d0c86142e4239822adf1ec66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a77b744f692f8c35220a1d905167dd262',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4133c8b0f564ccdeac225da89824553b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301b9aab3b47acf98c9ffbea1269911c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1048ec999ae340208e1a1c033a43675d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adea7f909fbd3e5d3e6c40ac5d1879719',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1557ffc6ba536038b0d16352a980eef4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2f639b10dd9b08c65f8b4c93e22f66bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2811e81083eb58ab85993bde3af7a4b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cc83b705ff514d8f5534e7da588a55f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a3f8948e3799baed18ea97248e933c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a53825ad938117a261152614438c64d50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfb690d2582dccefbb12aabda917aef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a92230b6b1264f0e6b01cfca16d6535fd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2bbd1a50f47699e52c948b924c0cb04f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a15420ab3c4bbd1b6b97f96ee053960',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdae3be6b069fcfa0a96abb07525f114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb121ec66d22b16ff2ae61dc4a8757a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae115f392f75c49dd88d7fe3f2567b4d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a114488245626540cc9bc1a825b35fb25',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3491046a5c9d60cf61951f28260a6fda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aff2e32d5a461c91f9971cc5f18890f14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47dc5b272eef08d8b7fdf3d3436fd6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95c5d5e904babdb3e0adacbad8bb8bb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9e882d1266e97a481ddd86ce669c92cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc9d22356774677325ff5d65a70c50f4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad4b857f8ad9cbade31224b8fd691ffd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a76af6c8c914c3c17f0dac65effb4a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6135ec380c0a7b25d6c7e07a4de27873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa5cc5415b680552469fa19120c900114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ead4fe11b3040de16a9e44d1d427af1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab018c842ba3a92c9d61d90ca072b3022',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5b5cc1ee4163f7b272b4b01bb244609d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aef09be0f2985dd43a15ff2aa234d82af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, GCDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a06df6e45f8c921a073b0d4be3c8ef602',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301c57132c04f7b04226118f82f9e39a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#add78c3dd5bc0df9ec1756824cfa78805',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfa88b04c050b541d8d4119884e7ebc1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dbe0bb0f37a3b84fa666d7ca16f6cbe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1547c664856478b2b22737445af290ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae601e98ed76552b28b4a31c3ba69b762',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f31c2f9a85c4b2b80475aae58655b6a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae78c5cdebb118dfe13665532177192f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec64960568d02b312e41476346b583c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a300e663e27206e0b4c86cb86b5c79227',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09732c26c355eee11819f4a82707fa50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9ebef23e7eb9aa4b8830701796dd8ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfd4f132a85967837490b52c10546879',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61889832d8d8dde590f6cf89c684368c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08de795101191f4855d91695dd4c9252',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41ee1666a1552bcdaff9b8ece34da221',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad188d3a8f5f935bd7f3a76a5d01cfa1e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cca624618c04b68b590a11c25aa6991',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a924d18348cb58e58237cb8166eb5f89a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf1f53b508211bdce9df8f414d7631d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6f7cb8f52316219cc1aa283f62974e84',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a728cadcb1212e943b39b36991782cbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, GCGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b7b455c07d599085a0a542b9b2fb94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4NormalizePlanarYUVLayer, GCNormalizePlanarYUVLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46a465db5b9971a1c8fd7565f662d84d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31abe9383857109b70df7ce609e7dd98',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3819a5acaf865c8e1ef0ea2db1c20b89',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac090413c838baf960868dd77ed4b9f02',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af8b0084d13fd87fb5ff49680a0be7757',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8875137faa40cc6ec1ac1e2f9bdd405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac46fd1e4ec1f7e81e40a98dc1f65260f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7e685e7da2bc543450b1e0ca0d7aa421',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65f9b4d1f9d65090766c9a2d47d3be4c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab782809f4a63350a671e38da61888ccb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a82524eed2c8d16db8611512881da13b1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae4637a919829ea2404b266155a578cdd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad92aa2e55292d58a8dfdcf8f1aee19a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d0cd3ce5a722b28590e2994cb96ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d1cfb07aed28f2eceead2e9fe638f09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24c2c410f8b24d6d20b66a3f8f89e6bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LargeScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::LargeScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b6123139b38becb150b3c6951f6340',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf9cd56222ef78a33a938c301bf56338',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afe85d1bcce6077f33f0faf9299dd5d76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30e82c7a9c701ffc580f8f78450edb63',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae2a4f34d394cf250046374e9456099e9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6b485d855f34043c09be7efb438cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a194ce865169bf399932dafeafc2c2415',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80f6971287fad7f1104d501d951ed905',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af187c18fa8b1e30e140926d7e808d433',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad3dd59ecea895a1b783a49e00a5067c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cd53ae7bbc8025595e65ef8cdefa531',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8bf01762a593a19b5907ecdc99de57dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1990f5acf59bcbaeb2cd0951c4779c3d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2a2e751a377da9a31eef6960da4cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86764fdd8961d92d8065366d5245bd6c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfa87d4b24c094169da9bd340ce98280',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aa94d36ece5e7970d0168c173e3ad3f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf80bd27d4a6c988f22f89d2667e77fa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3704657a587916b2b0f688082b53fa6d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17a9073f5270b0d202815413a541cc80',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09f8fb04a7375bf4a0ce27af805911a3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80860945328cd5da627d979d5c0485ae',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace12ed82a92dce7a3bc3ffacb6b7e58d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16f671e2af5cb9687d10393a9495acc7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a727091446d370d4c533f7fc4267ef6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0a10501d43bf31dde16815cdcb223984',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93331fe3f64bef02fbf8689e004ea926',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c9d1c42998e67b51cd4f9c8fef58709',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4adf2c31c9668a635ba7a16620eac36e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a177a877f56d3311b7f4bd4d7f24b19fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0de424b12484ba2cad2fb4aa5e0a840a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f7df98385513ab246a09f26ec53f7d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad14a5471a936562e38e9443b3fc80dc9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ada77cb4a0d44ccda26b8770188e9bf6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb0f8798014e59e07214939e62a88172',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d06c39d80a4ed2e52ce9f071760b5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d0a8409b71d2cd895507345570ab736',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abda62451c0731d19b121142c69d575b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a87a623a31a7e1be53583999dbd81b0ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc0656cf27fc23a2b77a2a37eacb2c27',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9fee2e9fde80ef64eeab5295d49198f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdec8ccdaf630613d37cd4923c98093f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46f8d142c65bbea99e44da409807c761',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa642990b61d14397ac4bfa6900f98188',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a229c50f5995c6fb037a0fbe6496b942e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a15211414bb92e3100470dc74a5d39a0f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a557bfa30aa3ff122c773f64f487bff42',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ade6bf311a285336931b6265819eba73c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a52e53990877cd44d2ab1c236c2c83c76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6a3f2454c7c432c9ee688590ea2178f8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31536797434dcde02c80e3f3a0296300',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a07c625bb00238c503b8cb61e6b4efba5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a79f2694d9c9b93236bcc627d4f53377c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38961bb09686a79e580e8dd04d0006cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ed302d084b8a7f4a9ff088cf53694e1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e09ab22541be863c2e1044e96448ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac37dfb4d68f4e9b7dd53f022d3a71ca5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ff0a8211ae74af972ba9254ac68088a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ccfb3ac37783e9edaa794bd932fc10f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae64ea047f5fecc53c38f44edfc2f9e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4289ff786f50f37426620089776e4e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6e9ac9c1caa8ef81f7a49cadfd3f566e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d7d9dab9b30acc5be85c0cafc665f3c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeaa7ae7e6c5bcab28477975a78a4a615',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeb5f6615f1eed518fd622d512a0f52bd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acaa44fb5402f3a53408ca20473ebee7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a120a0568f2011c0f2662cf2f635d6a92',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa24183d5951a857dc215ea274d972ebc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4880fe8eeacc7495b786b047253c2343',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2cc7903afaf24db2e46932282848f046',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1aaab2bc13204f6628293fab8b81c23',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25703347a0c587f054c3d45d02876248',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59af54856391ed6a9ecc6d3a64551a06',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad943d9452638fb102706db92112d5f75',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ae2d33127b4e582a68d072b3569a7a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, NEDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a35b38e85b1472199517852b2a08f3de5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8df5d9aaa2811d4f3e08406689ff34d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7093f92dbaff59384b610ddf5190e194',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17ffb70ec6a66463634d219e4683da95',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80fea95594b6c37134e8dbad8a3d09b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a697d50481845dae362eed1cecce8a85a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afd91714995b912e44692139f9f7917f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1929ec4e9f107b414583906f986d8571',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad11bc1cc961bcd4fd3228280e8ded24c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d00b1986a7944db488cdeeaf50f32f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dcda471facdd859544dba0e88d73c29',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ce4636544f6f3aa1eb2a5ad1265c9ce',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf22ffe7b0feee1f55b07d918953c1e5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16dd7600cea9274280c53f3b2374018d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af87e31c7c9788c66acfa2b37edd303cd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FlattenLayer, NEFllattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6426d9dab3e82b38f5b47c8eb04aff96',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1e674082c974b9a273a1a6c49d2dc878',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#addfb561cc0a06a5c08fc650f6a5a7ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c5501211b852813f78d003ff62de167',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1d0001ec4a8ee0902c476630f9c5c3e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a170cbe81df505d952fa5d37a5aa69fc8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af44a72e7bb01707603a88217ab068e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a753d5f7db47643e3d4bfb636fcba2641',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ac1a0e4495c15edecb866448ac0ef11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af0ef4c568a945a479c090b9f5f6c9216',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af30496a8f903bf030a46e301ad3d37e4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfc83e6a68ae2bfa9028fe1f4f4f9489',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4130928c451203d11b950d806033a3da',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab20fc35760f27f4188de749a820955ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afa18e5d4c46dcd54694860f26ed45aa8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a349033f2a23697ed336112498589ae85',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8eb88949d8429aca7cdac6ddcee97ad',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Small, NEGEMMInterleave4x4Fixture, framework::DatasetMode::ALL, small_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf7e8794e5ea012ce4d355f1d6d20e1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GEMMInterleave4x4Big, NEGEMMInterleave4x4Fixture, framework::DatasetMode::NIGHTLY, big_data_shapes *data_types)'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f26adaebbdf28ebe92a33a8a4e833e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5e8fe1ef996dfe0ec45e8976fa16aa7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a410d3f62b50597ac16057cc8553c9b4e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad65e9549e68a0293552a8b73130d8fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab56c4df58f3f00d41df0eb7af2e4433b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8119c95e4a5f59485a98082cb62130b7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a84684a7158dec308c7f3fc75d03c0e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab33fdf235a708613adfb53d1b7db5739',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9dc9d705611669b387e0ec0db1fed1d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cfc1a0822ec74c78c85170085b4a166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02d388ce0aaa3f046acc5005e74a4da3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57528fa93bdde8a61964014f39865021',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04f4f6ca47e16cdf5a94b740a8394d01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7d62fc3fc234b6b8ed133d02a152e86',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a445627eab55cf7e8d35a3d6b8012db57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ffd14f8f46cc989a288b81c5b090ff2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7fc83503c9e5028afbc698335a7f7a54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a833c2620a79106b76c9e1edab3e7769c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad85f4086eab6de98194f326a4b635450',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a227fe287f288276cd9dc8538cc6d3fea',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9bddb5e41b925cacac06899120495b54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ae24eef22cb5f8f964a60a61cdaa453',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab6fdadbf82a2d2bdcc1e241abf0b5501',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1e1822e12bfd1cd8521817f806e278f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95b806569fe42bd36910e21d1679a786',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b7b29cde73a0869c1a29a3cf4b7fdd4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2ec80a73c4d2985f707e942343b6606',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeee4ba3016231917563b40f161815430',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af714566539a21e39c124940925978f9e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6c541608c6fedf7043ff687fb2e027a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3bdd2d29095692096ce524edac7e516',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaa6f215191d7304e523d8bfab9bf517d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7afa86fe61a4d4a0de8ae9456fb3d9b8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cb2c48b101fa61581a643a61feb6522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57bfc96665657ab37d10af783791cd01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f40a5cef95f9852dde086ef4574aa11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1403a63e94c3197d93ed462e1128b1fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aefa2bb4e6caf6e34154827361a0705e2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af24caacc20302d86a5776ce647aecc8f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a8c93750692d748602976a79d63a409',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c3bb6166f756cef06811f326a7d9c46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae860380f4b6dbc090d8e71ba36e4fdd8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa0daa8f9d0d130847b947fd4ae56e919',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30df2f9e500ac44da9b82fa64c640731',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad67e44287b7094f5c28234c64dedf83e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04fa5154efc283b2234ab8fb44869176',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2e2dc939e5f46c7f75019f1db788c34',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a747d9bc055986e09d11565be07a8ce31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa7c44a359be63e92bb39253dd4d2724f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aea7e4ed3efceb7e41c2bea91235ff0b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a157e951ba958c0f8fd985b6a056a19f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa20951eb44cc8a80c022752025a9c64a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1a415974472765d6985031853420a7f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ec9e5d7a877be057d6dd4cf14a92b66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, NEQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a716888d24c4863d6af8b757c22be524a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7984b4301667b336d9230bd3666352c2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95843823aad3b52cbd8a573573a7896c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Reshape, NEReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af28c0363e36e9ef1df9ee1e1cf1f04b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, NEROIPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3fc4871eea05243c9bd01a5e0043b7df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace4720989cea42c4f2ef64175355fc52',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad4f51211d330c936ba68a9e6dcd5ecd7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a48888b1f732b75f9e0c3f52b2eca3b35',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace95c1e9ff286e28d94624830f3b8eb1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2efd8b626becc95cc4c683cea7bcb0ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59b7b4c2043abe77363c1026b836f6a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc4ce2982d2cad5106de5cec8b78ebb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adcc030b3d6973f4cda3e6346f36601f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, NESoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1ee133304fd83360d6082e5110e45dbd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adab32c907c1b1085676f7bd8467e31c6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af02a31727fe5148b0e6738d341127f16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8c90cb4df98ef8f2fdceb6c2065accfa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a085f4c3829fae0cd8cf50b2a5d7bd425',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))']]],
+  ['register_5ffixture_5fdata_5ftest_5fcase',['REGISTER_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a26d2c096943c3472db3273f5abff57be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61b437e2b1664780b6706b6b1b3f4135',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d0142c092bc1c96961cf1ff8b64a536',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_one))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa4635e5c305c338e9f9544d554fc91d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38b009261ccad458c4835c521ed33a94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24f2b494f690a28503af0732c67a588e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac3b83f97332d0af2c066392c0d0c385a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4ceb722841ee996004f926e323d07ddb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d7c5c1490675619b518fde0a89c334a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3110d9e17b2fed7a59da5069d55b21f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71624fad883b263ef7b1551195e19a78',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c581bbf035477ef229090525ae7d9c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4328aa51911dbced422bc5f1374c97c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8a3d4a326b999635418fd320a069e051',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b3799c76bc466c6423cf2f8a752181b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad503e02071cab2e13ef0801abdd0c341',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97550db9243678761ddb38280dd826fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f3062c305e7969eee012cf432c24596',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a124635f8b10320b4455601daf5b3c79e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8403220ebf3aefd218946561bbfd2b97',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4004862c92977b9ff4e06bc3846035b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2005c37de050ddb1b2d4bb11da0447dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a92b3ee2fcc563a0f4a44c078cc05f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb79998463382b7311bcf059d7486ec7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a49cf83c578e0ba7ba4706fb35200ae46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d68da6a68164bb16d77d1e557b20d1f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36b6de2d4ed5bf8af8bd535ef38d75fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b146d2e09231c1471fc2e4bd1f3b128',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65b32653c55f72770c245d3fa4278121',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a777849e3541e0ee6639bf6e87f1975f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73e4f62985e7f7ceb19dfe45225d8b67',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a089c3967587901ac53fbae9236078b09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac70bb2f1a1f8bb55130fc1c8936c5c50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44058bc0e71c0fe1cc60e78efb2c61f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d1cefe8a632132b773f0c851663c18a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37b8e74b53fe13c61a98015e14518784',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86e82e9ff4b88f09f3e6fdcaa648e3a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeacb2c4ea3808efe7b53b8c7499fc50e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a779b3119cea86730153a49fa068d38f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9417b987aac4f6d77fe0108abd72995f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a973ba17f360be01d2e090f8170198171',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a01fb0312846c8e57522e1541901b7c0c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdc916bf4504c6af319b2cfcb7845c2b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afacf77d173154bfb7ab8fcacb95941b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5dae5a6368d157c789be6341c2b07f56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aabacf89d78613a6bc23acb31b1cda2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae54757aa5a1c17aa54e07e6870583c6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2aed5930b7e89685d562842c50cd1522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc33a8b2bd22f6e932d743e73d45ae22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41c9e0bb6ed93f1d6cf0ed832ad3f6cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a68b51ca8c47f73e53a2784caec578f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a026ba76d826a3808560aecf0c0862ef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0af44d42b10be152a26535c7d656fe7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abde1c68457adfe37e1782ed24ae738ef',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a023437471ee7946587c06790482d4e57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91419c0af2990af4a2a0345bad857b0e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af872c90c8899feafedfec2f3e13a6e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1c0404c57964d104f14ade5aff5a1ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1fdc6b13682f64eb954a4d4843d1f0db',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aed82491d6fe02b439aa52f565c2cd749',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a785883955ec28a4da99cfb87d75dfa8e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a374381807389133299d7ad40af1f52f9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a18d5e3cd4773c56cf110b15f4e531a66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9f22c5c84ccddd2a21ecc43e32cf62d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseSeparableConvolutionLayer, CLDepthwiseSeparableConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38f1923ee95713989bf0c88f113c6265',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, CLDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0dd702fa665a3913967d2358888a6481',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac69b8e819769eab70f8c59c2885e3413',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a670e11cac9944ed7a60800d30b35b862',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44fd9b3d4374ee2eac0bbdf47892dc7b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a21adbb35afcde51a66b4af4046ec411b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad27f2b2d0f3991cc8066efe4f6b2850a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afc8958d43d50bf76cd6bc6510f618a93',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1bf2067685426f4e637e11a153ddf149',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8d7c889387e998cc04d4b5943bd731ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72ce01118174a53114c6244cdace2942',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaff395c00ddf4de60ac3db3fa25dd839',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4bf19467c71f190f563eaff509b44496',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86fd448c4518f7bd66c0dde729795bfd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46e71c16217f24cdd0d1f929b4bbc57b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acb90a54a6f00090059efd9fd4ad88b37',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Flatten, CLFlattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a05d179d11539e3a2e103dd8ffcdabb6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, CLFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83f3fe8598aedfba981fa9f6211282ac',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a70f2866f451484cec556a5f9b081f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4b7ebda47c36e379e7f499bf7dcd39b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af192f8f19bea0c33f4f1dc95e606b484',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b725ec1516ff80d3ddb58e190d9f08b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abaaf4150acf57cdb752646732d4a8497',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb6c5a6dad25f46607bf18ba4b8a537f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0ffd1acebad54a188610ebf552682afb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad97aeefe40c8b77ebd52acf5403ba70e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a854bdabe0fa80187acfeed829fcbfee0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cc4d60e89dcd4148f61e64601cd33cc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac07c697a9fcf444cc4c40fc74cd3f2df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28897eaf05aeeec9d9c641e8d8c594af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c2eca4c70bb9efd10046abd0862ca22',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, CLGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf4ac350b9926548b9e5f1733c6f0b50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a67758981e21ab8f0fe4766925534bf1b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMM, CLGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1d48e15c7be8a45c2b728b5c3f06941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8efa7963298d783c90a889a0641316a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a75cd4ecf15af3d69df876354170802a8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6487e1c6181335668af736618fd75175',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetGEMMLowp, CLGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::AlexNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac347366b1dc3027a3847eac3bf962411',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5c55e4bdf921ddda690999fc748dcc9c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fe5491a602d21f43582a6c152c6405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a639dead2c294e70a02dba42d89fc7470',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdbb1a633319ee35e084693b7030493d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a409f567eb6680bbbb5295c993a5b3d4d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8e3e503c2b7a815297d82efc8c1961a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ea346443c42892bee3bff51d66ae13a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c52e79075ee58c3c54e2b7e41b4f68d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa381c21349af741ca7c38fe21fc839f7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a83e00ebc65cd94796350dc272aef03e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab94a4e2729a6b05fc3c325ed7ac9baba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac481e46ab0f3b4c2099ef5aa6baa1158',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf51503968eff3a5682e55def86196bb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, CLL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a768eb9c2b8ff754ad9874cbae0551acd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cf8721318bc0e99364e7fd7c7131d16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afed3b37f0d366e14275f0e7bc3dd57c0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a303febdbb0bd20fcb08e1e9c01204a41',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a767bb4c24d3f10ef8f7df1998a7f751e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25762e1bd63d9d9ea61f686c305ddcb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae9a1f8a5b4ec0e76d13b4ce08981042c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08a02d4645daa35c8682275ebd4b7631',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2d30a95563225783604f9bc4875500c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a34a6a00d941e068fe8f68339ba34eae7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a298337d558d3140fbc6977ffd1dae318',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a37cdd43d4e3ee5d24219b8e598b0f358',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8349a4aadac8be7ebb481554c9d9b85c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7eb5f5ab11becc4bb26ab739b98214cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dd9b9d119081dd23818b83fee75fb28',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af31dc32801e13b57ef0ba8b7c6b3d445',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acdb5d935210462b730906adfd2e166c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acec794dbb7f6c77bdefa188d83fc80c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af184664dd6a26cf0033aaa08086c8166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa02e5ce562079aab339c3ba2621119be',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02ca91a6c0d63e1205a6a0b27cfabd56',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d94743ce734d38d1d13fa3176f10778',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16, Format::S32 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac72a34207876080af72a11fc15e486e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1fafc76fe74ce2a8778aa356d400d55',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a72dcaf1318a784cfe7a53c9ac27203',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af40b5ded15ece77611fd323c401fb826',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af5de9e9950e88b4f8ae838606730e330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a97a5c3434c3234e4b1f4bb4729d4f610',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4d4104e5bf2e89104503e1605970b701',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a32d46130028346966574200df4f3400f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaeac2f5f2b60f6fcd6162630049ef1a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a23ab205742fe9cc0f257a43f11351e47',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44462bfadb6a17d68d22603e2bc21ee3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a306992d7991224f6c93ab2bd2cb8cc82',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ac9d0528424387587a34c8de12c93c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad32c7c18d077ec839615f4def1d36873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a72137eb08df4d9f86b665d896e423c79',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, CLQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abd2d66b69693b552fe2b2de99dae7ccd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36a07a6af470661e63ff9c3629b4d5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a645c5d8049df6be8802127b5a0f5dc6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(ReshapeLayer, CLReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaf09547cb7c655a676a5820cc4ca8dee',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerHalf, CLROIPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a462f553ba4c003d4eee2f06e27449db4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, CLROIPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f885760a2999df64ef74af8896f4752',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9006364fe01ad6003b9fd1e22e867f8b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a20b94f15214d7c47a2f3c5a789e4239d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7f0b47566794de8a1eba850c8a70de8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adbc6f044a841d3be870c15b2ddf20d14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a00327218cc49bc03f3b6212e511cd941',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab40fb86088d18a1e1bb742593058659e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae5fb384579f031f7e2ca6a6c9e9a7bb9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7a5d7731ec1b78a57f8df17faa165cb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, CLSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab7309826f753a35d7d0b6894761ecfd3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, CLSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa93e0813e4037a192c5e89ceb98c4597',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a78edddf8941fa2a0f3641a30b7473330',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a784d4dd06dfc9cd36022f140d40255eb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a28838403c9e6de78e0174642f248e640',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3ed4058cf4b82dfdebbcc6e78a60678b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dfbc031d0c86142e4239822adf1ec66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a77b744f692f8c35220a1d905167dd262',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4133c8b0f564ccdeac225da89824553b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301b9aab3b47acf98c9ffbea1269911c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1048ec999ae340208e1a1c033a43675d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adea7f909fbd3e5d3e6c40ac5d1879719',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1557ffc6ba536038b0d16352a980eef4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2f639b10dd9b08c65f8b4c93e22f66bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2811e81083eb58ab85993bde3af7a4b2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cc83b705ff514d8f5534e7da588a55f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a3f8948e3799baed18ea97248e933c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a53825ad938117a261152614438c64d50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfb690d2582dccefbb12aabda917aef6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a92230b6b1264f0e6b01cfca16d6535fd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2bbd1a50f47699e52c948b924c0cb04f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, GCActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5a15420ab3c4bbd1b6b97f96ee053960',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afdae3be6b069fcfa0a96abb07525f114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb121ec66d22b16ff2ae61dc4a8757a9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae115f392f75c49dd88d7fe3f2567b4d1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a114488245626540cc9bc1a825b35fb25',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3491046a5c9d60cf61951f28260a6fda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aff2e32d5a461c91f9971cc5f18890f14',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47dc5b272eef08d8b7fdf3d3436fd6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95c5d5e904babdb3e0adacbad8bb8bb3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9e882d1266e97a481ddd86ce669c92cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc9d22356774677325ff5d65a70c50f4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad4b857f8ad9cbade31224b8fd691ffd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9a76af6c8c914c3c17f0dac65effb4a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6135ec380c0a7b25d6c7e07a4de27873',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa5cc5415b680552469fa19120c900114',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ead4fe11b3040de16a9e44d1d427af1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab018c842ba3a92c9d61d90ca072b3022',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5b5cc1ee4163f7b272b4b01bb244609d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aef09be0f2985dd43a15ff2aa234d82af',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, GCDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a06df6e45f8c921a073b0d4be3c8ef602',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a301c57132c04f7b04226118f82f9e39a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#add78c3dd5bc0df9ec1756824cfa78805',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfa88b04c050b541d8d4119884e7ebc1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1dbe0bb0f37a3b84fa666d7ca16f6cbe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1547c664856478b2b22737445af290ba',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae601e98ed76552b28b4a31c3ba69b762',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f31c2f9a85c4b2b80475aae58655b6a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae78c5cdebb118dfe13665532177192f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec64960568d02b312e41476346b583c9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a300e663e27206e0b4c86cb86b5c79227',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09732c26c355eee11819f4a82707fa50',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9ebef23e7eb9aa4b8830701796dd8ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adfd4f132a85967837490b52c10546879',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a61889832d8d8dde590f6cf89c684368c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a08de795101191f4855d91695dd4c9252',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a41ee1666a1552bcdaff9b8ece34da221',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad188d3a8f5f935bd7f3a76a5d01cfa1e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1cca624618c04b68b590a11c25aa6991',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a924d18348cb58e58237cb8166eb5f89a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, GCFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf1f53b508211bdce9df8f414d7631d0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6f7cb8f52316219cc1aa283f62974e84',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, GCGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a728cadcb1212e943b39b36991782cbda',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, GCGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b7b455c07d599085a0a542b9b2fb94',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4NormalizePlanarYUVLayer, GCNormalizePlanarYUVLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46a465db5b9971a1c8fd7565f662d84d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31abe9383857109b70df7ce609e7dd98',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3819a5acaf865c8e1ef0ea2db1c20b89',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac090413c838baf960868dd77ed4b9f02',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af8b0084d13fd87fb5ff49680a0be7757',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae8875137faa40cc6ec1ac1e2f9bdd405',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac46fd1e4ec1f7e81e40a98dc1f65260f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7e685e7da2bc543450b1e0ca0d7aa421',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a65f9b4d1f9d65090766c9a2d47d3be4c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab782809f4a63350a671e38da61888ccb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a82524eed2c8d16db8611512881da13b1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae4637a919829ea2404b266155a578cdd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad92aa2e55292d58a8dfdcf8f1aee19a5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d0cd3ce5a722b28590e2994cb96ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, GCPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d1cfb07aed28f2eceead2e9fe638f09',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24c2c410f8b24d6d20b66a3f8f89e6bf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LargeScaleLayer, GCScaleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::LargeScaleLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a47b6123139b38becb150b3c6951f6340',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf9cd56222ef78a33a938c301bf56338',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayer, GCSoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afe85d1bcce6077f33f0faf9299dd5d76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30e82c7a9c701ffc580f8f78450edb63',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae2a4f34d394cf250046374e9456099e9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad6b485d855f34043c09be7efb438cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a194ce865169bf399932dafeafc2c2415',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80f6971287fad7f1104d501d951ed905',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af187c18fa8b1e30e140926d7e808d433',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad3dd59ecea895a1b783a49e00a5067c4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cd53ae7bbc8025595e65ef8cdefa531',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8bf01762a593a19b5907ecdc99de57dd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1990f5acf59bcbaeb2cd0951c4779c3d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2a2e751a377da9a31eef6960da4cfc3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a86764fdd8961d92d8065366d5245bd6c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfa87d4b24c094169da9bd340ce98280',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8aa94d36ece5e7970d0168c173e3ad3f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf80bd27d4a6c988f22f89d2667e77fa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3704657a587916b2b0f688082b53fa6d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17a9073f5270b0d202815413a541cc80',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a09f8fb04a7375bf4a0ce27af805911a3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80860945328cd5da627d979d5c0485ae',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace12ed82a92dce7a3bc3ffacb6b7e58d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16f671e2af5cb9687d10393a9495acc7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a727091446d370d4c533f7fc4267ef6d7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0a10501d43bf31dde16815cdcb223984',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseGamma&quot;, { false, true }), framework::dataset::make(&quot;UseBeta&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93331fe3f64bef02fbf8689e004ea926',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c9d1c42998e67b51cd4f9c8fef58709',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), canny_edge_dataset), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4adf2c31c9668a635ba7a16620eac36e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a177a877f56d3311b7f4bd4d7f24b19fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0de424b12484ba2cad2fb4aa5e0a840a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8f7df98385513ab246a09f26ec53f7d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad14a5471a936562e38e9443b3fc80dc9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ada77cb4a0d44ccda26b8770188e9bf6b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abb0f8798014e59e07214939e62a88172',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1d06c39d80a4ed2e52ce9f071760b5f0',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0d0a8409b71d2cd895507345570ab736',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abda62451c0731d19b121142c69d575b6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a87a623a31a7e1be53583999dbd81b0ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abc0656cf27fc23a2b77a2a37eacb2c27',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9fee2e9fde80ef64eeab5295d49198f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abdec8ccdaf630613d37cd4923c98093f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a46f8d142c65bbea99e44da409807c761',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa642990b61d14397ac4bfa6900f98188',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a229c50f5995c6fb037a0fbe6496b942e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a15211414bb92e3100470dc74a5d39a0f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a557bfa30aa3ff122c773f64f487bff42',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ade6bf311a285336931b6265819eba73c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a52e53990877cd44d2ab1c236c2c83c76',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6a3f2454c7c432c9ee688590ea2178f8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31536797434dcde02c80e3f3a0296300',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a07c625bb00238c503b8cb61e6b4efba5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a79f2694d9c9b93236bcc627d4f53377c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a38961bb09686a79e580e8dd04d0006cf',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ed302d084b8a7f4a9ff088cf53694e1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e09ab22541be863c2e1044e96448ae8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac37dfb4d68f4e9b7dd53f022d3a71ca5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ff0a8211ae74af972ba9254ac68088a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8ccfb3ac37783e9edaa794bd932fc10f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae64ea047f5fecc53c38f44edfc2f9e2f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4289ff786f50f37426620089776e4e51',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6e9ac9c1caa8ef81f7a49cadfd3f566e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d7d9dab9b30acc5be85c0cafc665f3c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeaa7ae7e6c5bcab28477975a78a4a615',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeb5f6615f1eed518fd622d512a0f52bd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acaa44fb5402f3a53408ca20473ebee7e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a120a0568f2011c0f2662cf2f635d6a92',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa24183d5951a857dc215ea274d972ebc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4880fe8eeacc7495b786b047253c2343',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2cc7903afaf24db2e46932282848f046',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1aaab2bc13204f6628293fab8b81c23',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a25703347a0c587f054c3d45d02876248',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59af54856391ed6a9ecc6d3a64551a06',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad943d9452638fb102706db92112d5f75',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::DepthConcatenateLayerShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ae2d33127b4e582a68d072b3569a7a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(DequantizationLayer, NEDequantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::Small3DShapes(), data_types_src), data_types_dst))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a35b38e85b1472199517852b2a08f3de5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8df5d9aaa2811d4f3e08406689ff34d8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7093f92dbaff59384b610ddf5190e194',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a17ffb70ec6a66463634d219e4683da95',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80fea95594b6c37134e8dbad8a3d09b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a697d50481845dae362eed1cecce8a85a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afd91714995b912e44692139f9f7917f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1929ec4e9f107b414583906f986d8571',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad11bc1cc961bcd4fd3228280e8ded24c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7d00b1986a7944db488cdeeaf50f32f1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEDirectConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo())), data_types), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3dcda471facdd859544dba0e88d73c29',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5ce4636544f6f3aa1eb2a5ad1265c9ce',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf22ffe7b0feee1f55b07d918953c1e5',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a16dd7600cea9274280c53f3b2374018d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), suppress_nonmax), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af87e31c7c9788c66acfa2b37edd303cd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(FlattenLayer, NEFllattenLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small4DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6426d9dab3e82b38f5b47c8eb04aff96',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1e674082c974b9a273a1a6c49d2dc878',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#addfb561cc0a06a5c08fc650f6a5a7ad9',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2c5501211b852813f78d003ff62de167',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad1d0001ec4a8ee0902c476630f9c5c3e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a170cbe81df505d952fa5d37a5aa69fc8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af44a72e7bb01707603a88217ab068e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a753d5f7db47643e3d4bfb636fcba2641',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ac1a0e4495c15edecb866448ac0ef11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af0ef4c568a945a479c090b9f5f6c9216',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af30496a8f903bf030a46e301ad3d37e4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfc83e6a68ae2bfa9028fe1f4f4f9489',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Medium2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 4))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4130928c451203d11b950d806033a3da',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), datasets::BorderModes()) *framework::dataset::make(&quot;numlevels&quot;, 2, 5))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab20fc35760f27f4188de749a820955ec',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afa18e5d4c46dcd54694860f26ed45aa8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a349033f2a23697ed336112498589ae85',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMM, NEGEMMFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogleNetGEMMDataset(), data_types), reshape_b_only_once))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1f26adaebbdf28ebe92a33a8a4e833e6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::GoogLeNetInceptionV1GEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac5e8fe1ef996dfe0ec45e8976fa16aa7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::ALL, datasets::MatrixMultiplyGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a410d3f62b50597ac16057cc8553c9b4e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogleNetGEMMLowp, NEGEMMLowpFixture, framework::DatasetMode::NIGHTLY, datasets::GoogleNetGEMMDataset())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aad65e9549e68a0293552a8b73130d8fe',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab56c4df58f3f00d41df0eb7af2e4433b',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), threshold), min_dist), sensitivity), gradient_size), block_size), border_mode))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8119c95e4a5f59485a98082cb62130b7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a84684a7158dec308c7f3fc75d03c0e10',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab33fdf235a708613adfb53d1b7db5739',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9dc9d705611669b387e0ec0db1fed1d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, { Format::U8 })), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7cfc1a0822ec74c78c85170085b4a166',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a02d388ce0aaa3f046acc5005e74a4da3',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57528fa93bdde8a61964014f39865021',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04f4f6ca47e16cdf5a94b740a8394d01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae7d62fc3fc234b6b8ed133d02a152e86',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a445627eab55cf7e8d35a3d6b8012db57',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture, framework::DatasetMode::NIGHTLY, datasets::LargeImageShapes())'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ffd14f8f46cc989a288b81c5b090ff2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7fc83503c9e5028afbc698335a7f7a54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(L2NormalizeLayer, NEL2NormalizeLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LargeShapes(), data_types), framework::dataset::make(&quot;Axis&quot;, { 0 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a833c2620a79106b76c9e1edab3e7769c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad85f4086eab6de98194f326a4b635450',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a227fe287f288276cd9dc8538cc6d3fea',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9bddb5e41b925cacac06899120495b54',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7ae24eef22cb5f8f964a60a61cdaa453',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab6fdadbf82a2d2bdcc1e241abf0b5501',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallLocallyConnectedDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa1e1822e12bfd1cd8521817f806e278f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95b806569fe42bd36910e21d1679a786',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), magnitude_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8b7b29cde73a0869c1a29a3cf4b7fdd4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2ec80a73c4d2985f707e942343b6606',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeee4ba3016231917563b40f161815430',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af714566539a21e39c124940925978f9e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6c541608c6fedf7043ff687fb2e027a7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae3bdd2d29095692096ce524edac7e516',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aaa6f215191d7304e523d8bfab9bf517d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7afa86fe61a4d4a0de8ae9456fb3d9b8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8cb2c48b101fa61581a643a61feb6522',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a57bfc96665657ab37d10af783791cd01',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f40a5cef95f9852dde086ef4574aa11',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1403a63e94c3197d93ed462e1128b1fc',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aefa2bb4e6caf6e34154827361a0705e2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af24caacc20302d86a5776ce647aecc8f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;Format&quot;, { Format::S16 })), phase_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a8c93750692d748602976a79d63a409',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3c3bb6166f756cef06811f326a7d9c46',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae860380f4b6dbc090d8e71ba36e4fdd8',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa0daa8f9d0d130847b947fd4ae56e919',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a30df2f9e500ac44da9b82fa64c640731',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad67e44287b7094f5c28234c64dedf83e',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a04fa5154efc283b2234ab8fb44869176',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad2e2dc939e5f46c7f75019f1db788c34',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a747d9bc055986e09d11565be07a8ce31',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa7c44a359be63e92bb39253dd4d2724f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aea7e4ed3efceb7e41c2bea91235ff0b4',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a157e951ba958c0f8fd985b6a056a19f6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa20951eb44cc8a80c022752025a9c64a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 2 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af1a415974472765d6985031853420a7f',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), data_layouts), framework::dataset::make(&quot;Batches&quot;, { 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2ec9e5d7a877be057d6dd4cf14a92b66',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(QuantizationLayer, NEQuantizationLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::Small3DShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a716888d24c4863d6af8b757c22be524a',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7984b4301667b336d9230bd3666352c2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), remap_data))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a95843823aad3b52cbd8a573573a7896c',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(Reshape, NEReshapeLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a163aa89fe219b033b59a1163a6b3dd9d',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, NEROIPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;Batches&quot;, { 1, 4, 8 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3fc4871eea05243c9bd01a5e0043b7df',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace4720989cea42c4f2ef64175355fc52',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeImageShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), interpolation_types), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad4f51211d330c936ba68a9e6dcd5ecd7',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a48888b1f732b75f9e0c3f52b2eca3b35',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ace95c1e9ff286e28d94624830f3b8eb1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2efd8b626becc95cc4c683cea7bcb0ff',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a59b7b4c2043abe77363c1026b836f6a1',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc4ce2982d2cad5106de5cec8b78ebb',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), datasets::GradientDimensions()), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adcc030b3d6973f4cda3e6346f36601f2',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerSmall, NESoftmaxLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SoftmaxLayerSmallShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1ee133304fd83360d6082e5110e45dbd',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(SoftmaxLayerLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(datasets::SoftmaxLayerLargeShapes(), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adab32c907c1b1085676f7bd8467e31c6',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture, framework::DatasetMode::PRECOMMIT, framework::dataset::combine(framework::dataset::concat(datasets::Small1DShapes(), datasets::Small2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af02a31727fe5148b0e6738d341127f16',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::concat(datasets::Large1DShapes(), datasets::Large2DShapes()), data_types))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8c90cb4df98ef8f2fdceb6c2065accfa',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), data_type), interpolation_types), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a085f4c3829fae0cd8cf50b2a5d7bd425',1,'arm_compute::test::benchmark::REGISTER_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), data_type), interpolation_types), datasets::BorderModes()))']]],
   ['register_5fgroup',['register_group',['../classarm__compute_1_1_i_lifetime_manager.xhtml#af9aed2d52d9469aa2a49f8c7ece1f082',1,'arm_compute::ILifetimeManager::register_group()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a93fc2c6a7ebb5d8f44c67d492347d054',1,'arm_compute::ISimpleLifetimeManager::register_group()']]],
   ['register_5fpool',['register_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#af5ecacf4a9d67777dacc2bf917a52db4',1,'arm_compute::IPoolManager::register_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#a40713b55ad2d6ddb4ccead1f9e535a05',1,'arm_compute::PoolManager::register_pool()']]],
   ['reinterpret_5finput_5fas_5f3d',['reinterpret_input_as_3d',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a00330b8913cac3b07029ac0c3350e806',1,'arm_compute::GEMMReshapeInfo::reinterpret_input_as_3d()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#a00330b8913cac3b07029ac0c3350e806',1,'arm_compute::GEMMInfo::reinterpret_input_as_3d()']]],
@@ -48,6 +48,7 @@
   ['resizelayer',['ResizeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a6de958db405f92c48214eedd8c5a2a7b',1,'arm_compute::graph::frontend::ResizeLayer']]],
   ['resizelayernode',['ResizeLayerNode',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a23f214610ee778b923f9f9ffc5bf1b3e',1,'arm_compute::graph::ResizeLayerNode']]],
   ['retain_5finternal_5fweights',['retain_internal_weights',['../classarm__compute_1_1_weights_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::WeightsInfo::retain_internal_weights()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ac9e7f8fc8a688fd119d3fb2892cce6b9',1,'arm_compute::GEMMInfo::retain_internal_weights()']]],
+  ['reverse',['reverse',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1936f5feb8c9357acc4555686d4e5cf2',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a919cf3591c7a0a86389412346be0b295',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3092826e827607da8aa2799f2a231118',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8b105426832fc39c634bdcaf8d5d9a1b',1,'arm_compute::test::validation::reference::reverse(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;axis)']]],
   ['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a5053b946ca74887955fc65054f6df4e8',1,'arm_compute::utils::iterable::reverse_iterable']]],
   ['reverse_5fiterate',['reverse_iterate',['../namespacearm__compute_1_1utils_1_1iterable.xhtml#ad093dbcab3409be5ca29a73556df5290',1,'arm_compute::utils::iterable']]],
   ['rgb888_5fto_5fiyuv_5fbt709',['RGB888_to_IYUV_bt709',['../color__convert_8cl.xhtml#a0e87467985f2b64c5aaf073ee5c64267',1,'color_convert.cl']]],
@@ -62,13 +63,18 @@
   ['rgba8888_5fto_5fyuv444_5fbt709',['RGBA8888_to_YUV444_bt709',['../color__convert_8cl.xhtml#aee9a7e06c86387d2a46aad341fa940d0',1,'color_convert.cl']]],
   ['roi_5falign_5flayer',['roi_align_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae10aca11c62e91fcb01059cc7849ada6',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ade5dbd67630e7e979b7f2c24c1fa1fa3',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4a4d037e9f0f69fde36a5ca107aa587a',1,'arm_compute::test::validation::reference::roi_align_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;rois, const ROIPoolingLayerInfo &amp;pool_info)']]],
   ['roi_5fpool_5f1x1',['roi_pool_1x1',['../roi__pooling__layer_8cl.xhtml#aa23d7bc09d4a60b853c5b3ba5425c2ec',1,'roi_pooling_layer.cl']]],
-  ['roi_5fpooling_5flayer',['roi_pooling_layer',['../roi__pooling__layer_8cl.xhtml#a635f6123e4bdfef756e8959061a743b5',1,'roi_pooling_layer.cl']]],
+  ['roi_5fpooling_5flayer',['roi_pooling_layer',['../roi__pooling__layer_8cl.xhtml#a2225a0fdbe433c31126daa25249acd8b',1,'roi_pooling_layer.cl']]],
   ['roialignlayer',['ROIAlignLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#aee31512297b466bfd6fadd4e79384887',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(SubStream &amp;&amp;sub_stream_input, SubStream &amp;&amp;sub_stream_rois, ROIPoolingLayerInfo pool_info)'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a59543e51d359cdbc63df97c9906c40fd',1,'arm_compute::graph::frontend::ROIAlignLayer::ROIAlignLayer(const ROIAlignLayer &amp;)=delete']]],
   ['roialignlayernode',['ROIAlignLayerNode',['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3dc3a0ce0219139b6f55396afee2154f',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(ROIPoolingLayerInfo &amp;pool_info)'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a49a8c24874736d0aa28dd3aff6996554',1,'arm_compute::graph::ROIAlignLayerNode::ROIAlignLayerNode(const ROIAlignLayerNode &amp;)=delete']]],
   ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#aabcaf278d82498bd5ba1e8d2ce1196cc',1,'arm_compute::ROIPoolingLayerInfo']]],
-  ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a711b72c2817604dfbb9d20d142882bab',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647',1,'arm_compute::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
-  ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test']]],
-  ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test']]],
+  ['round',['round',['../classarm__compute_1_1_pad_stride_info.xhtml#a711b72c2817604dfbb9d20d142882bab',1,'arm_compute::PadStrideInfo::round()'],['../namespacearm__compute.xhtml#aaae2b6b1c3f4404121346a4c27b22647',1,'arm_compute::round()'],['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a995d306fa75c139b6a878506701e6e07',1,'arm_compute::utils::rounding::round()'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e',1,'arm_compute::support::cpp11::round()']]],
+  ['round_5faway_5ffrom_5fzero',['round_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4d6feea06f0c1ad779760e477348db6b',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5faway_5ffrom_5fzero',['round_half_away_from_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#aeecc6e8935077dc93cc5079fe98d3adc',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5fdown',['round_half_down',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a4a17ff00e5272477260c040731aa1d36',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5feven',['round_half_even',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#af1c8bd162677ab8a8ae5dfddc55ca9b8',1,'arm_compute::utils::rounding::round_half_even()'],['../namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4',1,'arm_compute::test::round_half_even()']]],
+  ['round_5fhalf_5fto_5fzero',['round_half_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a2b38aea22003d34e97d6678f329896d9',1,'arm_compute::utils::rounding']]],
+  ['round_5fhalf_5fup',['round_half_up',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a7d412c5e09b4d4be67727d85d24d51be',1,'arm_compute::utils::rounding::round_half_up()'],['../namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db',1,'arm_compute::test::round_half_up()']]],
+  ['round_5fto_5fzero',['round_to_zero',['../namespacearm__compute_1_1utils_1_1rounding.xhtml#a02f57d08fe3b3f4efd408fb4875c0789',1,'arm_compute::utils::rounding']]],
   ['rounding_5fdivide_5fby_5fpow2',['rounding_divide_by_pow2',['../namespacearm__compute.xhtml#a5e28a3911204ac952601f512c82b48f1',1,'arm_compute']]],
   ['rounding_5fpolicy',['rounding_policy',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a0f09377db195c78de49f1d2be26ee649',1,'arm_compute::graph::EltwiseLayerNode']]],
   ['roundup',['roundup',['../utils_8hpp.xhtml#a8f6fbf8b243a10af40ce8d47a1013384',1,'utils.hpp']]],
@@ -76,9 +82,10 @@
   ['row_5freduce_5fmax_5f5',['row_reduce_max_5',['../non__linear__filter__helpers_8h.xhtml#a310f21b7cf0409431ddf246c4a98e52e',1,'non_linear_filter_helpers.h']]],
   ['row_5freduce_5fmin_5f3',['row_reduce_min_3',['../non__linear__filter__helpers_8h.xhtml#ae3e09114bb887de4e20122eed42671a1',1,'non_linear_filter_helpers.h']]],
   ['row_5freduce_5fmin_5f5',['row_reduce_min_5',['../non__linear__filter__helpers_8h.xhtml#aa9d1bdcaf911a5b861c2082181e6a716',1,'non_linear_filter_helpers.h']]],
-  ['run',['run',['../classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51',1,'arm_compute::ICLKernel::run()'],['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple2DKernel::run()'],['../classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple3DKernel::run()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLActivationLayerKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticDivisionKernel::run()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseAndKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseOrKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseXorKernel::run()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGradientKernel::run()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeTraceKernel::run()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelCombineKernel::run()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelExtractKernel::run()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCol2ImKernel::run()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLColorConvertKernel::run()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDequantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDerivativeKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFastCornersKernel::run()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyToArrayKernel::run()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFlattenLayerKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::run()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramKernel::run()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramBorderKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLHOGDetectorKernel::run()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerInitKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerFinalizeKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage0Kernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage1Kernel::run()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevKernel::run()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMemsetKernel::run()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLayerKernel::run()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxKernel::run()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLocationKernel::run()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPermuteKernel::run()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReductionOperationKernel::run()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRemapKernel::run()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReorgLayerKernel::run()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLROIAlignLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScaleKernel::run()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5VertKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7VertKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStridedSliceKernel::run()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLUpsampleLayerKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate2TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate4TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradFilterTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradInputTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradOutputTransformKernel::run()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLYOLOLayerKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::run()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPCornerCandidatesKernel::run()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPFlipWeightsKernel::run()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPPermuteKernel::run()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPUpsampleKernel::run()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2',1,'arm_compute::IGCKernel::run()'],['../classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple2DKernel::run()'],['../classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple3DKernel::run()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCActivationLayerKernel::run()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCCol2ImKernel::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDropoutLayerKernel::run()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCFillBorderKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCIm2ColKernel::run()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPoolingLayerKernel::run()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCScaleKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DNormKernel::run()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTensorShiftKernel::run()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTransposeKernel::run()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateSquaredKernel::run()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEActivationLayerKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseAndKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseNotKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseOrKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseXorKernel::run()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGradientKernel::run()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeTraceKernel::run()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelCombineKernel::run()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelExtractKernel::run()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECol2ImKernel::run()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEColorConvertKernel::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionHorKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionVertKernel::run()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECopyKernel::run()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertLayerKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDequantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDerivativeKernel::run()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDilateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEErodeKernel::run()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFastCornersKernel::run()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillArrayKernel::run()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillBorderKernel::run()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillInnerBorderKernel::run()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFlattenLayerKernel::run()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHistogramKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGDetectorKernel::run()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELKTrackerKernel::run()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLayerKernel::run()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxKernel::run()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLocationKernel::run()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonLinearFilterKernel::run()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonMaximaSuppression3x3Kernel::run()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPermuteKernel::run()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReductionOperationKernel::run()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERemapKernel::run()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReorgLayerKernel::run()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScaleKernel::run()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScharr3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7VertKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DMaxKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DSoftmaxKernel::run()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETableLookupKernel::run()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEThresholdKernel::run()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::run()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEUpsampleLayerKernel::run()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::INEWarpKernel::run()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformInputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformOutputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::run()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEYOLOLayerKernel::run()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::frontend::Stream::run()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96',1,'arm_compute::graph::PassManager::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayerUpsample::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDequantizationLayer::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLEqualizeHistogram::run()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFastCorners::run()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFuseBatchNormalization::run()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussian5x5::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidHalf::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidOrb::run()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGenerateProposalsLayer::run()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHarrisCorners::run()'],['../classarm__compute_1_1_c_l_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHistogram::run()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDescriptor::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDetector::run()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGGradient::run()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGMultiDetection::run()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLIntegralImage::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2NormalizeLayer::run()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianPyramid::run()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianReconstruct::run()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLocallyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayer::run()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMeanStdDev::run()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMinMaxLocation::run()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLPadLayer::run()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLQuantizationLayer::run()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReduceMean::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::run()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLRNNLayer::run()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel5x5::run()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel7x7::run()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayer::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToBatchLayer::run()'],['../classarm__compute_1_1_c_l_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSplit::run()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUpsampleLayer::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWidthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_i_c_p_p_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICPPSimpleFunction::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCBatchNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDepthConcatenateLayer::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDirectConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDropoutLayer::run()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCFullyConnectedLayer::run()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCGEMM::run()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCPoolingLayer::run()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCSoftmaxLayer::run()'],['../classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::IGCSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMInterleavedWrapper::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEBatchNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECannyEdge::run()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvertFullyConnectedWeights::run()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDeconvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDequantizationLayer::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDirectConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEEqualizeHistogram::run()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFastCorners::run()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussian5x5::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidHalf::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidOrb::run()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMM::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHarrisCorners::run()'],['../classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHistogram::run()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGDescriptor::run()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGGradient::run()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGMultiDetection::run()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEIm2Col::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2NormalizeLayer::run()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianPyramid::run()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianReconstruct::run()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELocallyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayer::run()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMeanStdDev::run()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMinMaxLocation::run()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NENormalizationLayer::run()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEOpticalFlow::run()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEQuantizationLayer::run()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReduceMean::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::run()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERNNLayer::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEROIPoolingLayer::run()'],['../classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEScale::run()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::NESimpleAssemblyFunction::run()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel5x5::run()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel7x7::run()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayer::run()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUpsampleLayer::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWidthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()']]],
+  ['run',['run',['../classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51',1,'arm_compute::ICLKernel::run()'],['../classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple2DKernel::run()'],['../classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::ICLSimple3DKernel::run()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLActivationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBatchToSpaceLayerKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseAndKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseOrKernel::run()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBitwiseXorKernel::run()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLBoundingBoxTransformKernel::run()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGradientKernel::run()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLEdgeTraceKernel::run()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelCombineKernel::run()'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelExtractKernel::run()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCol2ImKernel::run()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLColorConvertKernel::run()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComparisonKernel::run()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyKernel::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDequantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDerivativeKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementwiseOperationKernel::run()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLElementWiseUnaryLayerKernel::run()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFastCornersKernel::run()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLCopyToArrayKernel::run()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFillBorderKernel::run()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFlattenLayerKernel::run()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFloorKernel::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGatherKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLComputeAllAnchorsKernel::run()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHarrisScoreKernel::run()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramKernel::run()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHistogramBorderKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLHOGDetectorKernel::run()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIm2ColKernel::run()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLIntegralImageVertKernel::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerInitKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerFinalizeKernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage0Kernel::run()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLKTrackerStage1Kernel::run()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMeanStdDevKernel::run()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMemsetKernel::run()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLayerKernel::run()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxKernel::run()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLMinMaxLocationKernel::run()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPermuteKernel::run()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLQuantizationLayerKernel::run()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRangeKernel::run()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReductionOperationKernel::run()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLRemapKernel::run()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReorgLayerKernel::run()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReshapeLayerKernel::run()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLReverseKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#ac8f1ca778b425c6408a93b672b041dd0',1,'arm_compute::CLROIAlignLayerKernel::run()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScaleKernel::run()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLScharr3x3Kernel::run()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSelectKernel::run()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel3x3Kernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel5x5VertKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7HorKernel::run()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSobel7x7VertKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::run()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLLogits1DNormKernel::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLSpaceToBatchLayerKernel::run()'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStackLayerKernel::run()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLStridedSliceKernel::run()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLTileKernel::run()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLUpsampleLayerKernel::run()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWeightsReshapeKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate2TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenate4TensorsKernel::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradFilterTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradInputTransformKernel::run()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLWinogradOutputTransformKernel::run()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e',1,'arm_compute::CLYOLOLayerKernel::run()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef',1,'arm_compute::ICPPKernel::run()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::run()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPCornerCandidatesKernel::run()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::run()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPFlipWeightsKernel::run()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPPermuteKernel::run()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPSortEuclideanDistanceKernel::run()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPTopKVKernel::run()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::CPPUpsampleKernel::run()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2',1,'arm_compute::IGCKernel::run()'],['../classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple2DKernel::run()'],['../classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::IGCSimple3DKernel::run()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCActivationLayerKernel::run()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCCol2ImKernel::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCDropoutLayerKernel::run()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCFillBorderKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCIm2ColKernel::run()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizationLayerKernel::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::run()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCPoolingLayerKernel::run()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCScaleKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DShiftExpSumKernel::run()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCLogits1DNormKernel::run()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTensorShiftKernel::run()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCTransposeKernel::run()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69',1,'arm_compute::GCWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAbsoluteDifferenceKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateWeightedKernel::run()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEAccumulateSquaredKernel::run()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEActivationLayerKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticAdditionKernel::run()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEArithmeticSubtractionKernel::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBatchNormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseAndKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseNotKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseOrKernel::run()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBitwiseXorKernel::run()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEBox3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGradientKernel::run()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::run()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEEdgeTraceKernel::run()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelCombineKernel::run()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelExtractKernel::run()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEChannelShuffleLayerKernel::run()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECol2ImKernel::run()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEColorConvertKernel::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::run()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionHorKernel::run()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESeparableConvolutionVertKernel::run()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEConvolutionRectangleKernel::run()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECopyKernel::run()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NECumulativeDistributionKernel::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthConvertLayerKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::run()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseVectorToTensorKernel::run()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDequantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDerivativeKernel::run()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDilateKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerKernel::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseOperationKernel::run()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEElementwiseUnaryKernel::run()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEErodeKernel::run()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFastCornersKernel::run()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillArrayKernel::run()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillBorderKernel::run()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFillInnerBorderKernel::run()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFlattenLayerKernel::run()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFloorKernel::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEFuseBatchNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGatherKernel::run()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussian5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidHorKernel::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGaussianPyramidVertKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMInterleave4x4Kernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixAdditionKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEGEMMTranspose1xWKernel::run()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHarrisScoreKernel::run()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHistogramKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGOrientationBinningKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGBlockNormalizationKernel::run()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEHOGDetectorKernel::run()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIm2ColKernel::run()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEIntegralImageKernel::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEL2NormalizeLayerKernel::run()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELKTrackerKernel::run()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::run()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMagnitudePhaseKernel::run()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMeanStdDevKernel::run()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMedian3x3Kernel::run()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMemsetKernel::run()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLayerKernel::run()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxKernel::run()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEMinMaxLocationKernel::run()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonLinearFilterKernel::run()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENonMaximaSuppression3x3Kernel::run()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NENormalizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPermuteKernel::run()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPixelWiseMultiplicationKernel::run()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEPriorBoxLayerKernel::run()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEQuantizationLayerKernel::run()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERangeKernel::run()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReductionOperationKernel::run()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NERemapKernel::run()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReorgLayerKernel::run()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReshapeLayerKernel::run()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEReverseKernel::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEROIPoolingLayerKernel::run()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScaleKernel::run()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEScharr3x3Kernel::run()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESelectKernel::run()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel3x3Kernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel5x5VertKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7HorKernel::run()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NESobel7x7VertKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DMaxKernel::run()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NELogits1DSoftmaxKernel::run()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStackLayerKernel::run()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEStridedSliceKernel::run()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETableLookupKernel::run()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEThresholdKernel::run()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETileKernel::run()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NETransposeKernel::run()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEUpsampleLayerKernel::run()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::INEWarpKernel::run()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWeightsReshapeKernel::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWidthConcatenateLayerKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformInputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformOutputKernel::run()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::run()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82',1,'arm_compute::NEYOLOLayerKernel::run()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a13a43e6d814de94978c515cb084873b1',1,'arm_compute::graph::frontend::Stream::run()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8eca648ee39ca1381dfb511c11b31d96',1,'arm_compute::graph::PassManager::run()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLBatchToSpaceLayer::run()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLCannyEdge::run()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionSquare::run()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayer::run()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDeconvolutionLayerUpsample::run()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDequantizationLayer::run()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLDirectConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLEqualizeHistogram::run()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFastCorners::run()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFullyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLFuseBatchNormalization::run()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussian5x5::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidHalf::run()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGaussianPyramidOrb::run()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMM::run()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLGenerateProposalsLayer::run()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHarrisCorners::run()'],['../classarm__compute_1_1_c_l_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHistogram::run()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDescriptor::run()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGDetector::run()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGGradient::run()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLHOGMultiDetection::run()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLIntegralImage::run()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLL2NormalizeLayer::run()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianPyramid::run()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLaplacianReconstruct::run()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLocallyConnectedLayer::run()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLLSTMLayer::run()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMeanStdDev::run()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLMinMaxLocation::run()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizationLayer::run()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLOpticalFlow::run()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLPadLayer::run()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLQuantizationLayer::run()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReduceMean::run()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLReductionOperation::run()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLRNNLayer::run()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel5x5::run()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSobel7x7::run()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSoftmaxLayer::run()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSpaceToBatchLayer::run()'],['../classarm__compute_1_1_c_l_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLSplit::run()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLStackLayer::run()'],['../classarm__compute_1_1_c_l_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUnstack::run()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLUpsampleLayer::run()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWidthConcatenateLayer::run()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CLWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_c_l_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICLSimpleFunction::run()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPNonMaximumSuppression::run()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::CPPDetectionOutputLayer::run()'],['../classarm__compute_1_1_i_c_p_p_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::ICPPSimpleFunction::run()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCBatchNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDepthConcatenateLayer::run()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCDirectConvolutionLayer::run()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCDropoutLayer::run()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCFullyConnectedLayer::run()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCGEMM::run()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizationLayer::run()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCNormalizePlanarYUVLayer::run()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::GCPoolingLayer::run()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::GCSoftmaxLayer::run()'],['../classarm__compute_1_1_i_g_c_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::IGCSimpleFunction::run()'],['../classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::IFunction::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMInterleavedWrapper::run()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEArgMinMaxLayer::run()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEBatchNormalizationLayer::run()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NECannyEdge::run()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvertFullyConnectedWeights::run()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionSquare::run()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDeconvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::run()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDequantizationLayer::run()'],['../classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDerivative::run()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEDirectConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEEqualizeHistogram::run()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFastCorners::run()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFillBorder::run()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFullyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEFuseBatchNormalization::run()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussian5x5::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidHalf::run()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGaussianPyramidOrb::run()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMM::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a18954417d3124a8095783ea13dc6d00b',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMAssemblyDispatch::run()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEConvolutionLayerReshapeWeights::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMConvolutionLayer::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::run()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHarrisCorners::run()'],['../classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHistogram::run()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGDescriptor::run()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGGradient::run()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEHOGMultiDetection::run()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEIm2Col::run()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEL2NormalizeLayer::run()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianPyramid::run()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELaplacianReconstruct::run()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELocallyConnectedLayer::run()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NELSTMLayer::run()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMeanStdDev::run()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEMinMaxLocation::run()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NENormalizationLayer::run()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEOpticalFlow::run()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPadLayer::run()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEPoolingLayer::run()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEQuantizationLayer::run()'],['../classarm__compute_1_1_n_e_range.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERange::run()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReduceMean::run()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEReductionOperation::run()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NERNNLayer::run()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEROIPoolingLayer::run()'],['../classarm__compute_1_1_n_e_scale.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEScale::run()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::NESimpleAssemblyFunction::run()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel5x5::run()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESobel7x7::run()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESoftmaxLayer::run()'],['../classarm__compute_1_1_n_e_split.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NESplit::run()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEStackLayer::run()'],['../classarm__compute_1_1_n_e_unstack.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUnstack::run()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEUpsampleLayer::run()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWidthConcatenateLayer::run()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb',1,'arm_compute::NEWinogradConvolutionLayer::run()'],['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunction::run()'],['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::INESimpleFunctionNoBorder::run()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml#a92fe532c342ae2b07956a65520c05362',1,'arm_compute::test::CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder::run()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841',1,'arm_compute::test::framework::Framework::run()']]],
   ['run_5fall',['run_all',['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2',1,'arm_compute::graph::PassManager']]],
   ['run_5fexample',['run_example',['../namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40',1,'arm_compute::utils::run_example(int argc, char **argv, std::unique_ptr&lt; Example &gt; example)'],['../namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3',1,'arm_compute::utils::run_example(int argc, char **argv)']]],
   ['run_5fnmslimit',['run_nmslimit',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a09b1eba6110aafce761e0e12d79cd12b',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel']]],
+  ['run_5freverse',['run_reverse',['../namespacearm__compute.xhtml#a57de30d9ebd8eed0393798583555dd16',1,'arm_compute']]],
   ['run_5ftagged_5fworkloads',['run_tagged_workloads',['../classarm__compute_1_1_i_scheduler.xhtml#a3becf955da8cad5036399bcb90f1408d',1,'arm_compute::IScheduler']]]
 ];
diff --git a/documentation/search/functions_12.html b/documentation/search/functions_12.html
index 3df8489..3235f8d 100644
--- a/documentation/search/functions_12.html
+++ b/documentation/search/functions_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_12.js b/documentation/search/functions_12.js
index 1a2cfcc..765e4f8 100644
--- a/documentation/search/functions_12.js
+++ b/documentation/search/functions_12.js
@@ -2,20 +2,17 @@
 [
   ['safe_5fread',['safe_read',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a590054c13a2fe6eddcb35bbe11129a9d',1,'arm_compute::test::validation::reference']]],
   ['sampling_5fratio',['sampling_ratio',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#afbc0a0e37966224f004d4525b1cf012f',1,'arm_compute::ROIPoolingLayerInfo']]],
-  ['saturate_5fcast',['saturate_cast',['../namespacearm__compute_1_1utility.xhtml#a26bf8243169fc3fd2299024c25b0aa0d',1,'arm_compute::utility::saturate_cast()'],['../namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377',1,'arm_compute::test::saturate_cast()']]],
+  ['saturate_5fcast',['saturate_cast',['../namespacearm__compute_1_1utils_1_1cast.xhtml#aff2fdac1ef048c4a668437d172fa6b1a',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1utils_1_1cast.xhtml#abbc0dfec475206b9c62d87e7405d87ee',1,'arm_compute::utils::cast::saturate_cast(U v)'],['../namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377',1,'arm_compute::test::saturate_cast()']]],
   ['save_5fbinary',['save_binary',['../classarm__compute_1_1_g_c_kernel_library.xhtml#a7c0b2aa80e920344936e8e7dbaa73e43',1,'arm_compute::GCKernelLibrary']]],
   ['save_5fto_5ffile',['save_to_file',['../classarm__compute_1_1_c_l_tuner.xhtml#a6bc110abab391dca6a6b0e977892020c',1,'arm_compute::CLTuner']]],
   ['save_5fto_5fnpy',['save_to_npy',['../namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547',1,'arm_compute::utils']]],
   ['save_5fto_5fppm',['save_to_ppm',['../namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08',1,'arm_compute::utils']]],
   ['scale',['scale',['../classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::PyramidInfo::scale()'],['../classarm__compute_1_1_bounding_box_transform_info.xhtml#ade87abafbd6b200b22de988f32b66dea',1,'arm_compute::BoundingBoxTransformInfo::scale()'],['../classarm__compute_1_1_window.xhtml#a5e8e5ab06329702df09ab7eb07e9b84d',1,'arm_compute::Window::scale()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d1214c8e51d5c216c257b8c1ce14525',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; T &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5d62ae2ebf51dcab81a1b15781faebc',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; uint8_t &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a507aed1b65b543eae5adafff1f2b8965',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; int16_t &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int16_t constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a19c2e3dbf2874675782c224032106d80',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; half &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, half constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab5ae0844c074ff20b13924b7f145d4e2',1,'arm_compute::test::validation::reference::scale(const SimpleTensor&lt; float &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, float constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale)']]],
   ['scale_5fbilinear_5fnchw',['scale_bilinear_nchw',['../scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989',1,'scale.cl']]],
-  ['scale_5fbilinear_5fnhwc',['scale_bilinear_nhwc',['../scale_8cl.xhtml#ac0b6964599b54e3488b5ce8e294b67cc',1,'scale.cl']]],
   ['scale_5fbilinear_5fquantized_5fnchw',['scale_bilinear_quantized_nchw',['../scale__quantized_8cl.xhtml#a157d3c35f643dafe1c4bed09594f3bb5',1,'scale_quantized.cl']]],
-  ['scale_5fbilinear_5fquantized_5fnhwc',['scale_bilinear_quantized_nhwc',['../scale__quantized_8cl.xhtml#af7bbf833ca2587ae7421833cc006d3f4',1,'scale_quantized.cl']]],
   ['scale_5fcoeff',['scale_coeff',['../classarm__compute_1_1_normalization_layer_info.xhtml#a7a6d5f8b1f761ea40f7f1072642be9e5',1,'arm_compute::NormalizationLayerInfo']]],
   ['scale_5fcore',['scale_core',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa390c8750cce2de4fd49d7a3d9e6ba5c',1,'arm_compute::test::validation::reference']]],
   ['scale_5fnearest_5fneighbour_5fnchw',['scale_nearest_neighbour_nchw',['../scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb',1,'scale.cl']]],
-  ['scale_5fnearest_5fneighbour_5fnhwc',['scale_nearest_neighbour_nhwc',['../scale_8cl.xhtml#a2216ff8602b48932fb95cdc3d02c8bba',1,'scale.cl']]],
   ['scaled_5fdimensions',['scaled_dimensions',['../namespacearm__compute.xhtml#a546c6bed3c307414e8d0934bc13259e5',1,'arm_compute']]],
   ['scalelayer',['ScaleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#abd50a915acafa4ed21f755d911f9b155',1,'arm_compute::graph::frontend::ScaleLayer']]],
   ['scaling_5ffactor',['scaling_factor',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a8b993170e17d6ef4714e6c7a7e779027',1,'arm_compute::graph::ResizeLayerNode']]],
@@ -25,6 +22,7 @@
   ['schedulerclock',['SchedulerClock',['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a71e1ffcc1aad7de2a9a44276ca2fcbd1',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(ScaleFactor scale_factor)'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a60f8503bc8d7098d6910eede9431e5fb',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(const SchedulerClock &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#ab9b3b08af501bf45c825a5440a327858',1,'arm_compute::test::framework::SchedulerClock::SchedulerClock(SchedulerClock &amp;&amp;)=default']]],
   ['score_5fthresh',['score_thresh',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a535a6f56c148f286729fad7749a58e9b',1,'arm_compute::BoxNMSLimitInfo']]],
   ['seed',['seed',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a0a20fa200643e1e3aa4004375d9188f1',1,'arm_compute::test::AssetsLibrary']]],
+  ['select',['select',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a27e22718d532b621774aca14ce8b1101',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; T &gt; &amp;x, const SimpleTensor&lt; T &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0331e853139eaf23282e0ca0a53b90b8',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; uint8_t &gt; &amp;x, const SimpleTensor&lt; uint8_t &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a95fd10c561d7b438f46d34441ac4c494',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; half &gt; &amp;x, const SimpleTensor&lt; half &gt; &amp;y)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d2d7deaeaac223161f2a13d155b58f7',1,'arm_compute::test::validation::reference::select(const SimpleTensor&lt; uint8_t &gt; &amp;c, const SimpleTensor&lt; float &gt; &amp;x, const SimpleTensor&lt; float &gt; &amp;y)']]],
   ['semaphore',['Semaphore',['../classarm__compute_1_1_semaphore.xhtml#a5d450aa70997a73d56a0400cee4e539d',1,'arm_compute::Semaphore']]],
   ['separate_5fmatrix',['separate_matrix',['../namespacearm__compute.xhtml#a18ec57dffc5c26864be77318111dfb2a',1,'arm_compute']]],
   ['set',['set',['../classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27',1,'arm_compute::Dimensions::set()'],['../classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad',1,'arm_compute::TensorShape::set()'],['../structarm__compute_1_1_valid_region.xhtml#ae658e258947a14e0d45975c531e03540',1,'arm_compute::ValidRegion::set()'],['../classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e',1,'arm_compute::Window::set()'],['../classarm__compute_1_1_scheduler.xhtml#ad2fc671b2772dd9e28b81cf0e2514e85',1,'arm_compute::Scheduler::set(std::shared_ptr&lt; IScheduler &gt; scheduler)'],['../classarm__compute_1_1_scheduler.xhtml#a9792282edd343320061f7acac8e04e4b',1,'arm_compute::Scheduler::set(Type t)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf15c7b340fc6089b412092dc8450f08',1,'arm_compute::test::validation::set()']]],
@@ -47,7 +45,7 @@
   ['set_5fconvolution_5fmethod',['set_convolution_method',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a9d809efcf3df31392abc965f2cc3bae6',1,'arm_compute::graph::ConvolutionLayerNode']]],
   ['set_5fcpu_5fmodel',['set_cpu_model',['../classarm__compute_1_1_c_p_u_info.xhtml#acb24f7c57aaeee1da27db2b4b52434ee',1,'arm_compute::CPUInfo']]],
   ['set_5fcpu_5fnum',['set_cpu_num',['../classarm__compute_1_1_c_p_u_info.xhtml#aba3b726afdf36bdcd7496e1bfb523e71',1,'arm_compute::CPUInfo']]],
-  ['set_5fdata_5flayout',['set_data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15',1,'arm_compute::ITensorInfo::set_data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6',1,'arm_compute::SubTensorInfo::set_data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66',1,'arm_compute::TensorInfo::set_data_layout()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7569d8e56faa688859f35da36653d0a1',1,'arm_compute::test::validation::set_data_layout()']]],
+  ['set_5fdata_5flayout',['set_data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#abb9481fe056b9749f9b4c08db101cc15',1,'arm_compute::ITensorInfo::set_data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a16d275e5270f2c36a04764c863d852b6',1,'arm_compute::SubTensorInfo::set_data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66',1,'arm_compute::TensorInfo::set_data_layout()']]],
   ['set_5fdata_5flayout_5fif_5funknown',['set_data_layout_if_unknown',['../namespacearm__compute.xhtml#aafd98bfd4651f36d691ddd2631a6e5a0',1,'arm_compute']]],
   ['set_5fdata_5ftype',['set_data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de',1,'arm_compute::ITensorInfo::set_data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8',1,'arm_compute::SubTensorInfo::set_data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a0a9053e6c4729ac5201b58068050c319',1,'arm_compute::TensorInfo::set_data_type()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a152c3cb67ac2ffb1d965073fc145493b',1,'arm_compute::graph::TensorDescriptor::set_data_type()']]],
   ['set_5fdata_5ftype_5fif_5funknown',['set_data_type_if_unknown',['../namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445',1,'arm_compute']]],
@@ -87,7 +85,7 @@
   ['set_5fowned_5fregion',['set_owned_region',['../classarm__compute_1_1_c_l_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::CLMemory::set_owned_region()'],['../classarm__compute_1_1_g_c_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::GCMemory::set_owned_region()'],['../classarm__compute_1_1_i_memory.xhtml#aa00bd341767c1945c2f16d8056143f2c',1,'arm_compute::IMemory::set_owned_region()'],['../classarm__compute_1_1_memory.xhtml#af2d30bc4b38a0f4703ff154a39f1b422',1,'arm_compute::Memory::set_owned_region()']]],
   ['set_5fpeephole_5fparams',['set_peephole_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#a28c80440058d5c9b0bc1e1a4622c734a',1,'arm_compute::LSTMParams']]],
   ['set_5fpolicy',['set_policy',['../classarm__compute_1_1_m_e_m_info.xhtml#a1609b8101beb35633a19f845d22323a8',1,'arm_compute::MEMInfo']]],
-  ['set_5fpretransposed_5fb_5fdata',['set_pretransposed_B_data',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmInterleaved::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvBatched::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvPretransposed::set_pretransposed_B_data()']]],
+  ['set_5fpretransposed_5fb_5fdata',['set_pretransposed_B_data',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmHybrid::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a6e76d099f51fc0ef7f48dbd7d00214ac',1,'arm_gemm::GemmInterleaved::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvBatched::set_pretransposed_B_data()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a27df64c6276eb144594c5d37d1110b20',1,'arm_gemm::GemvPretransposed::set_pretransposed_B_data()']]],
   ['set_5fprocessed_5felements',['set_processed_elements',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml#a8c357fa4f24f5e2ad4d06b68687d5e9b',1,'arm_compute::test::PaddingCalculator']]],
   ['set_5fprojection_5fparams',['set_projection_params',['../classarm__compute_1_1_l_s_t_m_params.xhtml#aea777d30779bab2d14630ea7e8516615',1,'arm_compute::LSTMParams']]],
   ['set_5fquantization_5finfo',['set_quantization_info',['../classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81',1,'arm_compute::ITensorInfo::set_quantization_info()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13',1,'arm_compute::SubTensorInfo::set_quantization_info()'],['../classarm__compute_1_1_tensor_info.xhtml#a78839e7861ba8ffed52ca55da2745761',1,'arm_compute::TensorInfo::set_quantization_info()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#afe5692937b0558d4cffe2d4fee57d581',1,'arm_compute::graph::TensorDescriptor::set_quantization_info()']]],
@@ -128,6 +126,7 @@
   ['shape_5fto_5fvalid_5fregion',['shape_to_valid_region',['../namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42',1,'arm_compute::test']]],
   ['shape_5fto_5fvalid_5fregion_5fgaussian_5fpyramid_5fhalf',['shape_to_valid_region_gaussian_pyramid_half',['../namespacearm__compute_1_1test.xhtml#a1177ef8061a8b46b5d79c1af93c12de1',1,'arm_compute::test']]],
   ['shape_5fto_5fvalid_5fregion_5flaplacian_5fpyramid',['shape_to_valid_region_laplacian_pyramid',['../namespacearm__compute_1_1test.xhtml#a6dc99a4de397ceab182b6fd46fa55f47',1,'arm_compute::test']]],
+  ['share_5flocation',['share_location',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a7bc581f245390f063f02c3fcbb422320',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['shift',['shift',['../classarm__compute_1_1_window.xhtml#ae688f3eb6c2673216d12d5490e1e88dc',1,'arm_compute::Window']]],
   ['shift_5fdimensions',['shift_dimensions',['../classarm__compute_1_1_window.xhtml#a02d0a4c2898a6eb2ca7706c811b0ce81',1,'arm_compute::Window']]],
   ['shift_5fright',['shift_right',['../classarm__compute_1_1_tensor_shape.xhtml#ab6d90bb06b3c19db6aba94975be64d10',1,'arm_compute::TensorShape']]],
@@ -139,7 +138,6 @@
   ['size2d',['Size2D',['../classarm__compute_1_1_size2_d.xhtml#a3eb3bec6d4d66aade9a65a822b158194',1,'arm_compute::Size2D::Size2D()=default'],['../classarm__compute_1_1_size2_d.xhtml#a9863cd6393417aa75ad980189b0fedaf',1,'arm_compute::Size2D::Size2D(size_t w, size_t h)']]],
   ['size_5fin_5fbytes',['size_in_bytes',['../classarm__compute_1_1_i_lut.xhtml#a6314b1e589ffe32277858c018ac3c630',1,'arm_compute::ILut::size_in_bytes()'],['../classarm__compute_1_1_c_l_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::CLLut::size_in_bytes()'],['../classarm__compute_1_1_lut.xhtml#a68f33e9afee896dc24b32093d25c6766',1,'arm_compute::Lut::size_in_bytes()']]],
   ['slice',['slice',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa29a68ae51222595dbe5069d4e082c24',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; float &gt; &amp;src, Coordinates starts, Coordinates ends)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a69e42a64983665cb7451016d3ca66e34',1,'arm_compute::test::validation::reference::slice(const SimpleTensor&lt; half_float::half &gt; &amp;src, Coordinates starts, Coordinates ends)']]],
-  ['slice_5fabsolute_5fend_5fcoords',['slice_absolute_end_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#add47293d0be725957b930435482bfd53',1,'arm_compute::helpers::tensor_transform']]],
   ['slicelayer',['SliceLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#af595d920ba4be189b2291e957503d9fd',1,'arm_compute::graph::frontend::SliceLayer']]],
   ['slicelayernode',['SliceLayerNode',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#af106262e1a68a4a143c257f33479ef2d',1,'arm_compute::graph::SliceLayerNode']]],
   ['slide_5fwindow_5fslice_5f1d',['slide_window_slice_1D',['../classarm__compute_1_1_window.xhtml#ad1a2b580ba9e1a3ed7124c3f37179bca',1,'arm_compute::Window']]],
@@ -178,13 +176,14 @@
   ['sqsub',['sqsub',['../namespacearm__compute.xhtml#a7462bb232b41864413a4d8603a660d16',1,'arm_compute']]],
   ['square',['square',['../structarm__compute_1_1detail_1_1square.xhtml#a6050e9843849fcc010555e14358f2bd0',1,'arm_compute::detail::square']]],
   ['square_5fsum',['square_sum',['../reduction__operation_8cl.xhtml#a48cc0583beba45dfba6d94fb6dc3c59a',1,'reduction_operation.cl']]],
-  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1beeda4b42a17145fcec40dd283403f8',1,'arm_compute::test::validation']]],
+  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0532a6909101cd29a4554ff19508c61',1,'arm_compute::test::validation']]],
+  ['stack_5flayer',['stack_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad85d74ccebfcf9cb1fe365106b1a8942',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c66df558c6d72fe52fdbb10a1a56ac',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; int &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a36ab5c75947ea8e7c35973444255711d',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; short &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac682fa5701bdf7949d8b5a26ef187e7b',1,'arm_compute::test::validation::reference::stack_layer(const std::vector&lt; SimpleTensor&lt; char &gt;&gt; &amp;in, const TensorShape &amp;output_shape, DataType data_type, unsigned int axis)']]],
   ['start',['start',['../structarm__compute_1_1_valid_region.xhtml#aae139363fa58e04c3d391339e820a06f',1,'arm_compute::ValidRegion::start()'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060',1,'arm_compute::Window::Dimension::start()'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a62b63bddf378b0e13a4affa3e8e1bedf',1,'arm_compute::test::framework::Instrument::start()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::MaliCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLMemoryUsage::start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::OpenCLClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::PMUCounter::start()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::SchedulerClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a5d5d9ebd12cd3a7d268bc98a3fc7bf97',1,'arm_compute::test::framework::WallClock::start()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a60de64d75454385b23995437f1d72669',1,'arm_compute::test::framework::Profiler::start()']]],
   ['start_5flifetime',['start_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#ad8645b2be72197ce554268c1dc704849',1,'arm_compute::ILifetimeManager::start_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#af9e6669812c674ab36a3cb3e592d5efe',1,'arm_compute::ISimpleLifetimeManager::start_lifetime()']]],
   ['starts',['starts',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a476f08a0729f8861bec63b7e62c7b514',1,'arm_compute::graph::SliceLayerNode']]],
-  ['status',['status',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a12bb27a4d1aa5d1e69b44b06b515be74',1,'arm_compute::test::framework::TestCaseFactory::status()'],['../classarm__compute_1_1_status.xhtml#aafde58df1b2a6a91d5b674373be3ffc5',1,'arm_compute::Status::Status()'],['../classarm__compute_1_1_status.xhtml#ac99a5dea2bc1b688ba6ecb82f593ad63',1,'arm_compute::Status::Status(ErrorCode error_status, std::string error_description=&quot; &quot;)'],['../classarm__compute_1_1_status.xhtml#a93b08299ab67e6071215b7dcabb40386',1,'arm_compute::Status::Status(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a04f96e4e7edaff82af5ac355b0b209f6',1,'arm_compute::Status::Status(Status &amp;&amp;)=default']]],
+  ['status',['Status',['../classarm__compute_1_1_status.xhtml#aafde58df1b2a6a91d5b674373be3ffc5',1,'arm_compute::Status::Status()'],['../classarm__compute_1_1_status.xhtml#ac99a5dea2bc1b688ba6ecb82f593ad63',1,'arm_compute::Status::Status(ErrorCode error_status, std::string error_description=&quot; &quot;)'],['../classarm__compute_1_1_status.xhtml#a93b08299ab67e6071215b7dcabb40386',1,'arm_compute::Status::Status(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a04f96e4e7edaff82af5ac355b0b209f6',1,'arm_compute::Status::Status(Status &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a12bb27a4d1aa5d1e69b44b06b515be74',1,'arm_compute::test::framework::TestCaseFactory::status()']]],
   ['step',['step',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe',1,'arm_compute::Window::Dimension']]],
-  ['steps',['Steps',['../classarm__compute_1_1_steps.xhtml#ad5ac35535f5df9d92f9a77bf4d772f76',1,'arm_compute::Steps::Steps(Ts... steps)'],['../classarm__compute_1_1_steps.xhtml#ae1478601d1a4df4ce6952dfedc42aea6',1,'arm_compute::Steps::Steps(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a55144677120e26b771c2ed3959fb21bf',1,'arm_compute::Steps::Steps(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_prior_box_layer_info.xhtml#a6b45b0e0f8dd18aae641aebaf5055e4d',1,'arm_compute::PriorBoxLayerInfo::steps()']]],
+  ['steps',['steps',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a6b45b0e0f8dd18aae641aebaf5055e4d',1,'arm_compute::PriorBoxLayerInfo::steps()'],['../classarm__compute_1_1_steps.xhtml#ad5ac35535f5df9d92f9a77bf4d772f76',1,'arm_compute::Steps::Steps(Ts... steps)'],['../classarm__compute_1_1_steps.xhtml#ae1478601d1a4df4ce6952dfedc42aea6',1,'arm_compute::Steps::Steps(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a55144677120e26b771c2ed3959fb21bf',1,'arm_compute::Steps::Steps(Steps &amp;&amp;)=default']]],
   ['stof',['stof',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a1df10cffb9f2dea9f3b007ce411e105f',1,'arm_compute::support::cpp11']]],
   ['stoi',['stoi',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#abdba606a789b8d664774f17d18f45cfe',1,'arm_compute::support::cpp11']]],
   ['stop',['stop',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae92ae13a136435391be883fd6f0f5c8c',1,'arm_compute::test::framework::Instrument::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::MaliCounter::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::OpenCLMemoryUsage::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::OpenCLClock::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::PMUCounter::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#ab3536e22848ce87b16a9b96d6d824d45',1,'arm_compute::test::framework::WallClock::stop()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a8c528baf37154d347366083f0f816846',1,'arm_compute::test::framework::Profiler::stop()']]],
@@ -200,9 +199,6 @@
   ['stream',['stream',['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54bf969e8dd0d19b020744eb829a19aa',1,'arm_compute::io::FileHandler::stream()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#ace44f45b8083003a71ecd0a5615ddc9e',1,'arm_compute::graph::frontend::Stream::Stream(size_t id, std::string name)'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a441dcaebaaec86f15c520874e77b7c42',1,'arm_compute::graph::frontend::Stream::Stream(const Stream &amp;)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a8d63178268f86cacfbc82d521213e485',1,'arm_compute::graph::frontend::Stream::Stream(Stream &amp;&amp;)=default']]],
   ['stride',['stride',['../classarm__compute_1_1_pad_stride_info.xhtml#a6e324c1bd1111876469ea247da156147',1,'arm_compute::PadStrideInfo::stride()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a1215e0cddf595dc92efdf214a89cd95f',1,'arm_compute::TensorAccessor::stride()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a47d010db0ab9940009209db7cf529f36',1,'arm_compute::graph::ReorgLayerNode::stride()']]],
   ['strided_5fslice',['strided_slice',['../slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac',1,'strided_slice():&#160;slice_ops.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1cd4d70f0bab74b1aa3cb43b3e3a0be5',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6afd3ff048b88a08c17e61277bfd10cb',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; float &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a58bfd4f5ff4a8e1fc0999c6bb5ac5a15',1,'arm_compute::test::validation::reference::strided_slice(const SimpleTensor&lt; half_float::half &gt; &amp;src, Coordinates starts, Coordinates ends, BiStrides strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)']]],
-  ['strided_5fslice_5fabsolute_5fend_5fcoords',['strided_slice_absolute_end_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a88bcbb798479cb74a34e0c4b1de181c8',1,'arm_compute::helpers::tensor_transform']]],
-  ['strided_5fslice_5fabsolute_5fstart_5fcoords',['strided_slice_absolute_start_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aa5cd68178f4a5d7e9f3be67c19178fbe',1,'arm_compute::helpers::tensor_transform']]],
-  ['strided_5fslice_5fstrides',['strided_slice_strides',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a125684caafdab8cdee40e424166cf61f',1,'arm_compute::helpers::tensor_transform']]],
   ['strides',['Strides',['../classarm__compute_1_1_strides.xhtml#ae4ffc5088cdc9de84c422f3952af4ee1',1,'arm_compute::Strides::Strides(Ts... strides)'],['../classarm__compute_1_1_strides.xhtml#aff8ae27aa78df0ff95b55bbf726c92da',1,'arm_compute::Strides::Strides(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a6b0793690f5dce340a23009dbd04f482',1,'arm_compute::Strides::Strides(Strides &amp;&amp;)=default']]],
   ['strides_5fin_5fbytes',['strides_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f',1,'arm_compute::ITensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::SubTensorInfo::strides_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec',1,'arm_compute::TensorInfo::strides_in_bytes()']]],
   ['string_5ffrom_5factivation_5ffunc',['string_from_activation_func',['../namespacearm__compute.xhtml#a635f1895d94050329b7da12850d1a056',1,'arm_compute']]],
@@ -227,6 +223,7 @@
   ['subtensor',['SubTensor',['../classarm__compute_1_1_sub_tensor.xhtml#a29f0969775d17df94d8e87c40b7b7df1',1,'arm_compute::SubTensor::SubTensor()'],['../classarm__compute_1_1_sub_tensor.xhtml#a4d0af8325f260b3642402e3b05a6c0df',1,'arm_compute::SubTensor::SubTensor(ITensor *parent, const TensorShape &amp;tensor_shape, const Coordinates &amp;coords, bool extend_parent=false)'],['../classarm__compute_1_1_sub_tensor.xhtml#ab7280b618490cedd24a18fe8849b4679',1,'arm_compute::SubTensor::SubTensor(const SubTensor &amp;)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#a366eac7e6cd70c8032528a17da5c3999',1,'arm_compute::SubTensor::SubTensor(SubTensor &amp;&amp;)=default']]],
   ['subtensorinfo',['SubTensorInfo',['../classarm__compute_1_1_sub_tensor_info.xhtml#a9025d7eb7c8e0d40239ddc3568d2e201',1,'arm_compute::SubTensorInfo::SubTensorInfo()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a76662f85dcac7c47e14753c03e61123f',1,'arm_compute::SubTensorInfo::SubTensorInfo(ITensorInfo *parent, TensorShape tensor_shape, Coordinates coords, bool extend_parent=false)'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ae2f91fa1c229a5e05f81c4b50e667236',1,'arm_compute::SubTensorInfo::SubTensorInfo(const SubTensorInfo &amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a3504ac3cf390bdc4eadbc5dca081e07a',1,'arm_compute::SubTensorInfo::SubTensorInfo(SubTensorInfo &amp;&amp;)=default']]],
   ['sum',['sum',['../reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782',1,'reduction_operation.cl']]],
+  ['supports_5fdynamic_5fscheduling',['supports_dynamic_scheduling',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmHybrid::supports_dynamic_scheduling()'],['../classarm__gemm_1_1_gemm_native.xhtml#a1bb76b8a32e09fb5ffffd66e04d7f741',1,'arm_gemm::GemmNative::supports_dynamic_scheduling()']]],
   ['suppress_5fnon_5fmaximum',['suppress_non_maximum',['../canny_8cl.xhtml#a8c233c75ee1010bcec8601d559f4be68',1,'canny.cl']]],
   ['suppress_5fsize',['suppress_size',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a0c1430ec3d495d93f98731a5f1c89f08',1,'arm_compute::BoxNMSLimitInfo']]],
   ['swap',['swap',['../namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3',1,'arm_compute::test']]],
diff --git a/documentation/search/functions_13.html b/documentation/search/functions_13.html
index febf8e0..dce66cc 100644
--- a/documentation/search/functions_13.html
+++ b/documentation/search/functions_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_13.js b/documentation/search/functions_13.js
index 29fa362..bd32914 100644
--- a/documentation/search/functions_13.js
+++ b/documentation/search/functions_13.js
@@ -12,7 +12,6 @@
   ['tensor4d_5foffset',['tensor4D_offset',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822',1,'helpers.h']]],
   ['tensor_5felem_5fat',['tensor_elem_at',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f489943d8618d47b1ad4611f0b9b7ff',1,'arm_compute::test::validation']]],
   ['tensor_5fid',['tensor_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#af20a11225e8c9ae2029e12f2ff05d95b',1,'arm_compute::graph::Edge']]],
-  ['tensor_5finfo_5fin',['tensor_info_in',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c8a00dedf0ec444353f2102207bed76',1,'arm_compute::test::validation']]],
   ['tensor_5fshape',['tensor_shape',['../classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d',1,'arm_compute::ITensorInfo::tensor_shape()'],['../classarm__compute_1_1_pyramid_info.xhtml#a82c695f3a9ca51633ea8743d5c09f122',1,'arm_compute::PyramidInfo::tensor_shape()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e',1,'arm_compute::SubTensorInfo::tensor_shape()'],['../classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e',1,'arm_compute::TensorInfo::tensor_shape()']]],
   ['tensoraccessor',['TensorAccessor',['../classarm__compute_1_1_tensor_accessor.xhtml#ac71bd355798608e6699d922b56e2041a',1,'arm_compute::TensorAccessor']]],
   ['tensorallocator',['TensorAllocator',['../classarm__compute_1_1_tensor_allocator.xhtml#a20c11f37f59a434b1dd0b69f62771ac6',1,'arm_compute::TensorAllocator::TensorAllocator(Tensor *owner=nullptr)'],['../classarm__compute_1_1_tensor_allocator.xhtml#a1f7d6251f7bd7834128664d851986e6a',1,'arm_compute::TensorAllocator::TensorAllocator(const TensorAllocator &amp;)=delete'],['../classarm__compute_1_1_tensor_allocator.xhtml#aa5d534fb1ab7a62ef81d80f47af1679b',1,'arm_compute::TensorAllocator::TensorAllocator(TensorAllocator &amp;&amp;) noexcept']]],
@@ -20,11 +19,12 @@
   ['tensorinfo',['TensorInfo',['../classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c',1,'arm_compute::TensorInfo::TensorInfo()'],['../classarm__compute_1_1_tensor_info.xhtml#a57911f186d22f552382d39010c09097d',1,'arm_compute::TensorInfo::TensorInfo(const ITensorInfo &amp;info)'],['../classarm__compute_1_1_tensor_info.xhtml#a494e9aa78ff5dde1788e0f9a8ba2213a',1,'arm_compute::TensorInfo::TensorInfo(const TensorInfo &amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a134dfebc14c0e971f8df850846764f8e',1,'arm_compute::TensorInfo::TensorInfo(TensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a6762d60a00d7d09087ea5cb41d4392a8',1,'arm_compute::TensorInfo::TensorInfo(Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ac307dc31ce68e3cf1273ffbc86e57646',1,'arm_compute::TensorInfo::TensorInfo(unsigned int width, unsigned int height, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a9fa5acc4d8fd911b9b2fece99d3d5a8d',1,'arm_compute::TensorInfo::TensorInfo(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a6e1c061accc47c7fa11d0f014d3795f9',1,'arm_compute::TensorInfo::TensorInfo(size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a734bdd7d65d40aa012ebeb172fda955a',1,'arm_compute::TensorInfo::TensorInfo(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a3017dc3990baec97aa09599b82c63b1b',1,'arm_compute::TensorInfo::TensorInfo(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type, QuantizationInfo quantization_info)'],['../classarm__compute_1_1_tensor_info.xhtml#ad3e249a7d8f329aa470d6903c9e415fe',1,'arm_compute::TensorInfo::TensorInfo(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)']]],
   ['tensors',['tensors',['../classarm__compute_1_1graph_1_1_graph.xhtml#aabacbdcb2b491b129b119273a813bb67',1,'arm_compute::graph::Graph::tensors()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a21d13454c59731ef669073d9b84e852c',1,'arm_compute::graph::Graph::tensors() const']]],
   ['tensorshape',['TensorShape',['../classarm__compute_1_1_tensor_shape.xhtml#a091252b04a1c79d499dd6184f9f5d715',1,'arm_compute::TensorShape::TensorShape(Ts... dims)'],['../classarm__compute_1_1_tensor_shape.xhtml#af156b289692f8c3f64688e9a2932ae78',1,'arm_compute::TensorShape::TensorShape(const TensorShape &amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#a5fa5abfb10a67d23a75339646e84517a',1,'arm_compute::TensorShape::TensorShape(TensorShape &amp;&amp;)=default']]],
-  ['test_5fcase',['TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6',1,'arm_compute::test::validation::TEST_CASE(Configuration, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a567a0fd1d570601eeb9a3ea311a8f82f',1,'arm_compute::test::validation::TEST_CASE(ImportMemory, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa566ba82958e029d499244f57fb35b48',1,'arm_compute::test::validation::TEST_CASE(BifrostTunerSimple, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e2548e7869a2a26fd87e52d9c12161',1,'arm_compute::test::validation::TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa33b5b965fca34d01c787ebb04f04c11',1,'arm_compute::test::validation::TEST_CASE(AlignedAlloc, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fbc9ffeaea0651b482a0e9e64956029',1,'arm_compute::test::validation::TEST_CASE(GetGPUTargetFromName, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac3c972034bb3441819d21c634e32ec0',1,'arm_compute::test::validation::TEST_CASE(GPUTargetIsIn, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae82eb91cd4c4f1f4f8f2fa2e4a574a4',1,'arm_compute::test::validation::TEST_CASE(Clone, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac54385f5529b6e6c671ce81ff22ff042',1,'arm_compute::test::validation::TEST_CASE(TensorInfoBuild, framework::DatasetMode::ALL)']]],
+  ['test_5fcase',['TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a963c5b8a3279186004d6a7e97a1b87e6',1,'arm_compute::test::validation::TEST_CASE(Configuration, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a567a0fd1d570601eeb9a3ea311a8f82f',1,'arm_compute::test::validation::TEST_CASE(ImportMemory, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa566ba82958e029d499244f57fb35b48',1,'arm_compute::test::validation::TEST_CASE(BifrostTunerSimple, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f20e3c02fe7bf3da8f52d3fbaec2178',1,'arm_compute::test::validation::TEST_CASE(Float, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43d6fccd8ec91f04ba8f9e56f796c8f0',1,'arm_compute::test::validation::TEST_CASE(Quantized, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e2548e7869a2a26fd87e52d9c12161',1,'arm_compute::test::validation::TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa33b5b965fca34d01c787ebb04f04c11',1,'arm_compute::test::validation::TEST_CASE(AlignedAlloc, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fbc9ffeaea0651b482a0e9e64956029',1,'arm_compute::test::validation::TEST_CASE(GetGPUTargetFromName, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac3c972034bb3441819d21c634e32ec0',1,'arm_compute::test::validation::TEST_CASE(GPUTargetIsIn, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae82eb91cd4c4f1f4f8f2fa2e4a574a4',1,'arm_compute::test::validation::TEST_CASE(Clone, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac54385f5529b6e6c671ce81ff22ff042',1,'arm_compute::test::validation::TEST_CASE(TensorInfoBuild, framework::DatasetMode::ALL)']]],
   ['test_5finfos',['test_infos',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aacd94676ebb33ecba00dfebe12c9392d',1,'arm_compute::test::framework::Framework']]],
   ['test_5fmeasurements',['test_measurements',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#aab0f12a9ccff85982411599026baad54',1,'arm_compute::test::framework::Instrument::test_measurements()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a60f8fdb7ead1583e0dfae6e97372bf40',1,'arm_compute::test::framework::OpenCLMemoryUsage::test_measurements()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a60f8fdb7ead1583e0dfae6e97372bf40',1,'arm_compute::test::framework::OpenCLClock::test_measurements()']]],
   ['test_5fstart',['test_start',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a66c51340d5301212438dd42cddd9b015',1,'arm_compute::test::framework::Instrument::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::OpenCLMemoryUsage::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::OpenCLClock::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#ad94b6b2e29abc159c9624278938badb3',1,'arm_compute::test::framework::SchedulerClock::test_start()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a4b454bbf54829d209850a8efa639b942',1,'arm_compute::test::framework::Profiler::test_start()']]],
   ['test_5fstop',['test_stop',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a24b0f69632f7d082aad3e0fceaf4f5b1',1,'arm_compute::test::framework::Instrument::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::OpenCLMemoryUsage::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::OpenCLClock::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a84eed1102b2ad191e3659dd7c49705bc',1,'arm_compute::test::framework::SchedulerClock::test_stop()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a19091d72dfe50cd8474566e912701e8c',1,'arm_compute::test::framework::Profiler::test_stop()']]],
+  ['test_5fsuite',['TEST_SUITE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f',1,'arm_compute::test::validation']]],
   ['test_5fsuite_5fend',['TEST_SUITE_END',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad5ac3cf6c64c212c685f8b16d293cda4',1,'arm_compute::test::benchmark::TEST_SUITE_END()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae',1,'arm_compute::test::validation::TEST_SUITE_END()']]],
   ['testcasefactory',['TestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a2d128e015a7913a30691094670608cfd',1,'arm_compute::test::framework::TestCaseFactory']]],
   ['testcaseregistrar',['TestCaseRegistrar',['../classarm__compute_1_1test_1_1framework_1_1detail_1_1_test_case_registrar.xhtml#a04917daee68d0de97571d85d56cb01b5',1,'arm_compute::test::framework::detail::TestCaseRegistrar::TestCaseRegistrar(std::string test_name, DatasetMode mode, TestCaseFactory::Status status)'],['../classarm__compute_1_1test_1_1framework_1_1detail_1_1_test_case_registrar.xhtml#a085b203c4d33e00766b88d72e2d41ca9',1,'arm_compute::test::framework::detail::TestCaseRegistrar::TestCaseRegistrar(std::string test_name, DatasetMode mode, TestCaseFactory::Status status, D &amp;&amp;dataset)']]],
@@ -38,12 +38,14 @@
   ['threshold_5frange',['threshold_range',['../threshold_8cl.xhtml#a2e3f1b089d9b33880c9bb6e98f294bba',1,'threshold.cl']]],
   ['throw_5ferrors',['throw_errors',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af2086722b11ed9e777db00a74cdecfc1',1,'arm_compute::test::framework::Framework']]],
   ['throw_5fif_5ferror',['throw_if_error',['../classarm__compute_1_1_status.xhtml#aa2f335ef3de70785fc17eaa1137ede53',1,'arm_compute::Status']]],
-  ['to_5fstring',['to_string',['../classarm__compute_1_1_size2_d.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::Size2D::to_string()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::test::framework::Measurement::Value::to_string()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a',1,'arm_compute::test::framework::to_string(DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab92295a2eda07d5ec770244f8e47dbb7',1,'arm_compute::test::framework::to_string(LogLevel level)'],['../namespacearm__compute.xhtml#ab75d8ff29ba9b398d5740b3efd156e71',1,'arm_compute::to_string(const arm_compute::GradientDimension &amp;type)'],['../namespacearm__compute.xhtml#aabe16be22edb41656e66ed9eae3b69e6',1,'arm_compute::to_string(const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#a27f0ebddef1b83e0ac31c7a7a23a8d36',1,'arm_compute::to_string(const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#ac7e5dca61375f7583860ab07d951a323',1,'arm_compute::to_string(const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#aadd27b86f0ff4fbb03ed673a549e91a8',1,'arm_compute::to_string(const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a24bc4de5c636b56f9b59533fead920c2',1,'arm_compute::to_string(const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#aa597016c0aaa2990ed31b8aaa6f2ccc3',1,'arm_compute::to_string(const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#ad9fd48b3c01116b217a684aaeaf8b24f',1,'arm_compute::to_string(const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a72626d2cca3922127c41526e37e9e623',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a8a18c453150ab547c1add44b3ed3bc56',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo::ActivationFunction &amp;function)'],['../namespacearm__compute.xhtml#a45dd771bdecbafb975fd267c2ae320a7',1,'arm_compute::to_string(const arm_compute::NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a25dac68b6321b9e53027e79222a0eb7f',1,'arm_compute::to_string(const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#ae1240e4698e8a901179e519102b5e033',1,'arm_compute::to_string(const arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#a96b47511b549b48d2ead05b5c757ccc9',1,'arm_compute::to_string(const arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#ab0e6381843dc9901bb59285ec846dc5d',1,'arm_compute::to_string(const Format &amp;format)'],['../namespacearm__compute.xhtml#a813e71cd70c2bbcbf0743fa83a3608b9',1,'arm_compute::to_string(const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a48fd5e28bdb4975c141841f0b96f8707',1,'arm_compute::to_string(const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#aa32488ee1dd78e0464ed23e8cc2b6e49',1,'arm_compute::to_string(const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#a1c4486f45128be7156e38e6dea345a16',1,'arm_compute::to_string(const Strides &amp;stride)'],['../namespacearm__compute.xhtml#a9d9b56d1b106b79fc5c5411372222d0f',1,'arm_compute::to_string(const TensorShape &amp;shape)'],['../namespacearm__compute.xhtml#a805a74997e303d29108845956a674387',1,'arm_compute::to_string(const Coordinates &amp;coord)'],['../namespacearm__compute.xhtml#a26a595cd5522bae4fa1c4f2fb9b8f4d5',1,'arm_compute::to_string(const WeightsInfo &amp;info)'],['../namespacearm__compute.xhtml#adac3c1908846c6361e664a353ad1c3cf',1,'arm_compute::to_string(const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a8ac2dfdfad6db71a5cf2ecee6b70f722',1,'arm_compute::to_string(const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#ab6ea50ec0a98c2180e6530cfcb5eb366',1,'arm_compute::to_string(const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#a99aba2774f142d36c6a286cbfe027772',1,'arm_compute::to_string(const Window &amp;win)'],['../namespacearm__compute.xhtml#a2c0e6c1c4cf10da25e7a7362ba151ba2',1,'arm_compute::to_string(const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a0604106dd269acd58152a81ba87cc265',1,'arm_compute::to_string(const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#a5c9cde9144eaeceaf086377b9bc5a5be',1,'arm_compute::to_string(const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#a09b674dcee4a1b59f9c7c51ecaae40a6',1,'arm_compute::to_string(const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a94bd78942b683c05cba85048537d3ee7',1,'arm_compute::to_string(const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a5b8e815072ae54278cb1c91e254be4d3',1,'arm_compute::to_string(const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#adcc7e107e7dbd2ffac02189089c33e4f',1,'arm_compute::to_string(const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aae534105c7ea67999ccbb34a0ed567cd',1,'arm_compute::to_string(const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#ad8b676c38d9b8d9d9bde7caec5720bd9',1,'arm_compute::to_string(const NormType &amp;type)'],['../namespacearm__compute.xhtml#a2872d19dd10dc3117813d291c08e0383',1,'arm_compute::to_string(const PoolingType &amp;type)'],['../namespacearm__compute.xhtml#acef515348c5f7f73c89aa4b8a47a02bc',1,'arm_compute::to_string(const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae62747a5179626328bf7e67c709d5fcf',1,'arm_compute::to_string(const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae4ead564f3c96ea5f1ec7fe035b941f3',1,'arm_compute::to_string(const arm_compute::PhaseType &amp;type)'],['../namespacearm__compute.xhtml#a42e6f8761f01b5846f56c3b8025c8c0a',1,'arm_compute::to_string(const arm_compute::MagnitudeType &amp;type)'],['../namespacearm__compute.xhtml#a950ba288e8136db4bf52f7c51dea20eb',1,'arm_compute::to_string(const HOGNormType &amp;type)'],['../namespacearm__compute.xhtml#aee88a2c259879eb9dc18cb5965e87c29',1,'arm_compute::to_string(const Size2D &amp;type)'],['../namespacearm__compute.xhtml#a3cf43a216912b361eaffc3c71452a31e',1,'arm_compute::to_string(const HOGInfo &amp;type)'],['../namespacearm__compute.xhtml#a853d44a32a328fb4455f6200a11c4785',1,'arm_compute::to_string(const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#aee29ccfc095313663fc954f581ddf40a',1,'arm_compute::to_string(const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a905d7ec8787e8c4b7e88b0a2faaccd1f',1,'arm_compute::to_string(const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a51fc944d872cf00c1e8e71ccdf8be264',1,'arm_compute::to_string(const Termination &amp;termination)'],['../namespacearm__compute.xhtml#add33a9d992aeaa69d6940fd896ee5e75',1,'arm_compute::to_string(const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a6411da4e87e64e8859f8b725645ee9aa',1,'arm_compute::to_string(const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#a37cc282b0852aab04b13a6e6566adda7',1,'arm_compute::to_string(const WinogradInfo &amp;type)'],['../namespacearm__compute.xhtml#a1d8c24abe3cf6edd704d126d1d2a5420',1,'arm_compute::to_string(const T &amp;val)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7',1,'arm_compute::support::cpp11::to_string(T &amp;&amp;value)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aae1437f4a38c4ada64e7a2586aa35bf8',1,'arm_compute::support::cpp11::to_string(bool value)']]],
+  ['tile',['tile',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; T &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9cb59283ffd29ef361fbd3cb3210969a',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint8_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae596700e94d56a3c0bba0618cc8dfa77',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int8_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaa7eb6a776fe2f70b1a14ab10a2a328f',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint16_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f96416023f4be64c4121eeb5ccee762',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int16_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a814c6cf20944d1f74831d755daebe165',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; uint32_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a61f2f4b00eae513e610668cc1442ad2d',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; int32_t &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1c5026785894b871c99266c939e4a4f6',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; half &gt; &amp;src, const Multiples &amp;multiples)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adfbf8210332d2d06a04bde1aa6377a52',1,'arm_compute::test::validation::reference::tile(const SimpleTensor&lt; float &gt; &amp;src, const Multiples &amp;multiples)']]],
+  ['to_5fstring',['to_string',['../classarm__compute_1_1_size2_d.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::Size2D::to_string()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aac993ecccd3d88aafefb6b8e3caa1dee',1,'arm_compute::test::framework::Measurement::Value::to_string()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a',1,'arm_compute::test::framework::to_string(DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab92295a2eda07d5ec770244f8e47dbb7',1,'arm_compute::test::framework::to_string(LogLevel level)'],['../namespacearm__compute.xhtml#ab75d8ff29ba9b398d5740b3efd156e71',1,'arm_compute::to_string(const arm_compute::GradientDimension &amp;type)'],['../namespacearm__compute.xhtml#aabe16be22edb41656e66ed9eae3b69e6',1,'arm_compute::to_string(const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#a27f0ebddef1b83e0ac31c7a7a23a8d36',1,'arm_compute::to_string(const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#ac7e5dca61375f7583860ab07d951a323',1,'arm_compute::to_string(const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#aadd27b86f0ff4fbb03ed673a549e91a8',1,'arm_compute::to_string(const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a24bc4de5c636b56f9b59533fead920c2',1,'arm_compute::to_string(const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#aa597016c0aaa2990ed31b8aaa6f2ccc3',1,'arm_compute::to_string(const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#ad9fd48b3c01116b217a684aaeaf8b24f',1,'arm_compute::to_string(const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a72626d2cca3922127c41526e37e9e623',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a8a18c453150ab547c1add44b3ed3bc56',1,'arm_compute::to_string(const arm_compute::ActivationLayerInfo::ActivationFunction &amp;function)'],['../namespacearm__compute.xhtml#a45dd771bdecbafb975fd267c2ae320a7',1,'arm_compute::to_string(const arm_compute::NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a25dac68b6321b9e53027e79222a0eb7f',1,'arm_compute::to_string(const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#ae1240e4698e8a901179e519102b5e033',1,'arm_compute::to_string(const arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#a96b47511b549b48d2ead05b5c757ccc9',1,'arm_compute::to_string(const arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#ab0e6381843dc9901bb59285ec846dc5d',1,'arm_compute::to_string(const Format &amp;format)'],['../namespacearm__compute.xhtml#a813e71cd70c2bbcbf0743fa83a3608b9',1,'arm_compute::to_string(const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a48fd5e28bdb4975c141841f0b96f8707',1,'arm_compute::to_string(const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#aa32488ee1dd78e0464ed23e8cc2b6e49',1,'arm_compute::to_string(const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#a1c4486f45128be7156e38e6dea345a16',1,'arm_compute::to_string(const Strides &amp;stride)'],['../namespacearm__compute.xhtml#a9d9b56d1b106b79fc5c5411372222d0f',1,'arm_compute::to_string(const TensorShape &amp;shape)'],['../namespacearm__compute.xhtml#a805a74997e303d29108845956a674387',1,'arm_compute::to_string(const Coordinates &amp;coord)'],['../namespacearm__compute.xhtml#a26a595cd5522bae4fa1c4f2fb9b8f4d5',1,'arm_compute::to_string(const WeightsInfo &amp;info)'],['../namespacearm__compute.xhtml#adac3c1908846c6361e664a353ad1c3cf',1,'arm_compute::to_string(const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a8ac2dfdfad6db71a5cf2ecee6b70f722',1,'arm_compute::to_string(const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#ab6ea50ec0a98c2180e6530cfcb5eb366',1,'arm_compute::to_string(const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#a99aba2774f142d36c6a286cbfe027772',1,'arm_compute::to_string(const Window &amp;win)'],['../namespacearm__compute.xhtml#a2c0e6c1c4cf10da25e7a7362ba151ba2',1,'arm_compute::to_string(const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a0604106dd269acd58152a81ba87cc265',1,'arm_compute::to_string(const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#a5c9cde9144eaeceaf086377b9bc5a5be',1,'arm_compute::to_string(const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#a09b674dcee4a1b59f9c7c51ecaae40a6',1,'arm_compute::to_string(const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#ad710fdad147ab4ab21e14a7c49b3516a',1,'arm_compute::to_string(const Multiples &amp;multiples)'],['../namespacearm__compute.xhtml#a94bd78942b683c05cba85048537d3ee7',1,'arm_compute::to_string(const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a5b8e815072ae54278cb1c91e254be4d3',1,'arm_compute::to_string(const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#adcc7e107e7dbd2ffac02189089c33e4f',1,'arm_compute::to_string(const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aca516517d47534e06d4c57e7bc706b2a',1,'arm_compute::to_string(const ArithmeticOperation &amp;op)'],['../namespacearm__compute.xhtml#aae534105c7ea67999ccbb34a0ed567cd',1,'arm_compute::to_string(const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#a77007283b591963074b8398202e90f5a',1,'arm_compute::to_string(const ComparisonOperation &amp;op)'],['../namespacearm__compute.xhtml#ab76157462925ad1b13149317ded2e404',1,'arm_compute::to_string(const ElementWiseUnary &amp;op)'],['../namespacearm__compute.xhtml#ad8b676c38d9b8d9d9bde7caec5720bd9',1,'arm_compute::to_string(const NormType &amp;type)'],['../namespacearm__compute.xhtml#a2872d19dd10dc3117813d291c08e0383',1,'arm_compute::to_string(const PoolingType &amp;type)'],['../namespacearm__compute.xhtml#acef515348c5f7f73c89aa4b8a47a02bc',1,'arm_compute::to_string(const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae62747a5179626328bf7e67c709d5fcf',1,'arm_compute::to_string(const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#ae4ead564f3c96ea5f1ec7fe035b941f3',1,'arm_compute::to_string(const arm_compute::PhaseType &amp;type)'],['../namespacearm__compute.xhtml#a42e6f8761f01b5846f56c3b8025c8c0a',1,'arm_compute::to_string(const arm_compute::MagnitudeType &amp;type)'],['../namespacearm__compute.xhtml#a950ba288e8136db4bf52f7c51dea20eb',1,'arm_compute::to_string(const HOGNormType &amp;type)'],['../namespacearm__compute.xhtml#aee88a2c259879eb9dc18cb5965e87c29',1,'arm_compute::to_string(const Size2D &amp;type)'],['../namespacearm__compute.xhtml#a3cf43a216912b361eaffc3c71452a31e',1,'arm_compute::to_string(const HOGInfo &amp;type)'],['../namespacearm__compute.xhtml#a853d44a32a328fb4455f6200a11c4785',1,'arm_compute::to_string(const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#aee29ccfc095313663fc954f581ddf40a',1,'arm_compute::to_string(const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a41c7dc2aa88c4e30effb2e3f550de481',1,'arm_compute::to_string(const DetectionOutputLayerCodeType &amp;detection_code)'],['../namespacearm__compute.xhtml#a4084858fda1caec39457dd70322e6bd6',1,'arm_compute::to_string(const DetectionOutputLayerInfo &amp;detection_info)'],['../namespacearm__compute.xhtml#a905d7ec8787e8c4b7e88b0a2faaccd1f',1,'arm_compute::to_string(const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a51fc944d872cf00c1e8e71ccdf8be264',1,'arm_compute::to_string(const Termination &amp;termination)'],['../namespacearm__compute.xhtml#add33a9d992aeaa69d6940fd896ee5e75',1,'arm_compute::to_string(const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a6411da4e87e64e8859f8b725645ee9aa',1,'arm_compute::to_string(const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#a37cc282b0852aab04b13a6e6566adda7',1,'arm_compute::to_string(const WinogradInfo &amp;type)'],['../namespacearm__compute.xhtml#a1d8c24abe3cf6edd704d126d1d2a5420',1,'arm_compute::to_string(const T &amp;val)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7',1,'arm_compute::support::cpp11::to_string(T &amp;&amp;value)'],['../namespacearm__compute_1_1support_1_1cpp11.xhtml#aae1437f4a38c4ada64e7a2586aa35bf8',1,'arm_compute::support::cpp11::to_string(bool value)']]],
   ['to_5fstring_5fif_5fnot_5fnull',['to_string_if_not_null',['../namespacearm__compute.xhtml#ad023d4ca1d3facf3975c941fd728a6f4',1,'arm_compute']]],
   ['toggleoption',['ToggleOption',['../classarm__compute_1_1utils_1_1_toggle_option.xhtml#ae27b8b254e5e02265bd1032771aa303e',1,'arm_compute::utils::ToggleOption']]],
   ['tolower',['tolower',['../namespacearm__compute_1_1utility.xhtml#abb96ad5c7071ec3a47ea5f07e817a636',1,'arm_compute::utility::tolower()'],['../namespacearm__compute_1_1test.xhtml#a5b67cbf475b1e1d3bec9b0b937fdafac',1,'arm_compute::test::tolower()']]],
+  ['top_5fk',['top_k',['../classarm__compute_1_1_detection_output_layer_info.xhtml#acf35ae15a9350f47bcba0d0cedeb3e7c',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(const std::string &amp;labels_path, size_t top_n=5, std::ostream &amp;output_stream=std::cout)'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a6bb5b548e58f2efa9e1a0b05028748e5',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(TopNPredictionsAccessor &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a08ecfd9353ff51163e76e32aaeef2bc8',1,'arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor(const TopNPredictionsAccessor &amp;)=delete']]],
-  ['total_5fsize',['total_size',['../classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66',1,'arm_compute::ITensorInfo::total_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::SubTensorInfo::total_size()'],['../classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::TensorInfo::total_size()'],['../classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb',1,'arm_compute::TensorShape::total_size()']]],
+  ['total_5fsize',['total_size',['../classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66',1,'arm_compute::ITensorInfo::total_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::SubTensorInfo::total_size()'],['../classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60',1,'arm_compute::TensorInfo::total_size()'],['../classarm__compute_1_1_tensor_shape.xhtml#a0fdcb923dfd4c74858cc2bc326321efb',1,'arm_compute::TensorShape::total_size()'],['../classarm__gemm_1_1_n_d_range.xhtml#a2ee55bf0e2d8324a1360f6994a762e28',1,'arm_gemm::NDRange::total_size()']]],
   ['total_5fsize_5flower',['total_size_lower',['../classarm__compute_1_1_tensor_shape.xhtml#a9de66247a88337d636d536a8bf086571',1,'arm_compute::TensorShape']]],
   ['total_5fsize_5fupper',['total_size_upper',['../classarm__compute_1_1_tensor_shape.xhtml#a99e09337e5b6ef762cd1f2d0bd10c346',1,'arm_compute::TensorShape']]],
   ['transform',['Transform',['../struct_transform_impl.xhtml#a63b509dd384dfffc0d4f650115799f8b',1,'TransformImpl::Transform(TOut *out, const TIn *const in, const int stride, const int y0, const int ymax, const int x0, const int xmax)'],['../struct_transform_impl.xhtml#a1c7a0b8d7bd5f883e459db42f2165755',1,'TransformImpl::Transform(T *out, const T *const in, const int stride, const int k0, const int kmax, const int x0, const int xmax)'],['../struct_transpose_interleave_common.xhtml#a01a4063744a2a3facb06389427638d2a',1,'TransposeInterleaveCommon::Transform()'],['../transform_8hpp.xhtml#a26afdd476f20600b47f35560ccfe23a9',1,'Transform():&#160;transform.hpp']]],
@@ -51,11 +53,11 @@
   ['transform_5fbilinear_5fquantized',['transform_bilinear_quantized',['../scale__quantized_8cl.xhtml#acbe073ffe68691758706acfe1dc305ba',1,'scale_quantized.cl']]],
   ['transform_5fnearest',['transform_nearest',['../scale_8cl.xhtml#a55c710b814464d9b8982c4eb6ca04dee',1,'scale.cl']]],
   ['transpose',['transpose',['../transpose_8cl.xhtml#aa9021e9b8c37ea94257627da631248db',1,'transpose():&#160;transpose.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acf9a40691cf4bd2c9af93bc806358a24',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a269f65a55705b60a0e42d5d277ff9ee3',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint8_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0954b58b92e7a6eb0f0d5f9d62fd207a',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint16_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a438af3af37f59f35944cd276469bb0d5',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; uint32_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af5f82318aa0982e38535d512accf3177',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; half &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f3ed5e09dcdb43d381a70aba1700bd4',1,'arm_compute::test::validation::reference::transpose(const SimpleTensor&lt; float &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c',1,'arm_compute::test::validation::transpose()']]],
-  ['transpose_5fmatrix',['transpose_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3504d3f18cbbb19ff4b1121e84dc413c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203237186c311cd8da9b7d1db55ae233',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;out)']]],
+  ['transpose_5fmatrix',['transpose_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3504d3f18cbbb19ff4b1121e84dc413c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203237186c311cd8da9b7d1db55ae233',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0b43509ac50f9dc4ec5a8f1e5e1fde9',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; int &gt; &amp;in, SimpleTensor&lt; int &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68386c510af4857cad710ab1310ae204',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; short &gt; &amp;in, SimpleTensor&lt; short &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ca66d53da04b889dcc34e650784ab9c',1,'arm_compute::test::validation::transpose_matrix(const SimpleTensor&lt; char &gt; &amp;in, SimpleTensor&lt; char &gt; &amp;out)']]],
   ['trunc',['trunc',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#ae04d407202e3d50ce6a4c79ac00a5d59',1,'arm_compute::support::cpp11']]],
   ['try_5fpopulate',['try_populate',['../classarm__gemm_1_1_buffer.xhtml#a97814ef98fcd29d1fb5df1e877f8eabc',1,'arm_gemm::Buffer::try_populate()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a97814ef98fcd29d1fb5df1e877f8eabc',1,'arm_gemm::BufferManager::try_populate()']]],
   ['tune_5fkernel_5fdynamic',['tune_kernel_dynamic',['../classarm__compute_1_1_c_l_tuner.xhtml#af073b532560e2105dd22d381f5888ce7',1,'arm_compute::CLTuner::tune_kernel_dynamic()'],['../classarm__compute_1_1_i_c_l_tuner.xhtml#ae12d76ff3471c1f73c62b7c65addc1ec',1,'arm_compute::ICLTuner::tune_kernel_dynamic()'],['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml#af073b532560e2105dd22d381f5888ce7',1,'arm_compute::tuners::BifrostTuner::tune_kernel_dynamic()'],['../classarm__compute_1_1tuners_1_1_midgard_tuner.xhtml#af073b532560e2105dd22d381f5888ce7',1,'arm_compute::tuners::MidgardTuner::tune_kernel_dynamic()']]],
   ['tune_5fkernel_5fstatic',['tune_kernel_static',['../classarm__compute_1_1_c_l_scheduler.xhtml#a6c2059df991a75abef4eb643510c9544',1,'arm_compute::CLScheduler::tune_kernel_static()'],['../classarm__compute_1_1_c_l_tuner.xhtml#a52f755d664bbdcb9346cdf5cc4a7e958',1,'arm_compute::CLTuner::tune_kernel_static()'],['../classarm__compute_1_1_i_c_l_tuner.xhtml#a384fdc1bc38a4fc6e79af675cc4aa8e3',1,'arm_compute::ICLTuner::tune_kernel_static()'],['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml#a52f755d664bbdcb9346cdf5cc4a7e958',1,'arm_compute::tuners::BifrostTuner::tune_kernel_static()'],['../classarm__compute_1_1tuners_1_1_midgard_tuner.xhtml#a52f755d664bbdcb9346cdf5cc4a7e958',1,'arm_compute::tuners::MidgardTuner::tune_kernel_static()']]],
   ['tune_5fnew_5fkernels',['tune_new_kernels',['../classarm__compute_1_1_c_l_tuner.xhtml#a362184f6651ae4acde05d5ce85cfd16f',1,'arm_compute::CLTuner']]],
-  ['type',['type',['../classarm__compute_1_1_i_lut.xhtml#aa1917b40b57ce0a0f1c69722b46f3f46',1,'arm_compute::ILut::type()'],['../classarm__compute_1_1_normalization_layer_info.xhtml#abf43f970446f0b82889df52463b9c2b8',1,'arm_compute::NormalizationLayerInfo::type()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec',1,'arm_compute::graph::INode::type()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ActivationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BatchNormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BoundingBoxTransformLayerNode::type()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ChannelShuffleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConcatenateLayerNode::type()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConstNode::type()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DeconvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DummyNode::type()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::EltwiseLayerNode::type()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FlattenLayerNode::type()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FullyConnectedLayerNode::type()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::GenerateProposalsLayerNode::type()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::InputNode::type()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::type()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::OutputNode::type()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PadLayerNode::type()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PermuteLayerNode::type()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PoolingLayerNode::type()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PriorBoxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReorgLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReshapeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ResizeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ROIAlignLayerNode::type()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SliceLayerNode::type()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SoftmaxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SplitLayerNode::type()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::UpsampleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::YOLOLayerNode::type()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::CLLut::type()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#aa5369d30001dbd8880fb58d6af2b40a0',1,'arm_compute::ILutAllocator::type()'],['../classarm__compute_1_1_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::Lut::type()']]]
+  ['type',['type',['../classarm__compute_1_1_i_lut.xhtml#aa1917b40b57ce0a0f1c69722b46f3f46',1,'arm_compute::ILut::type()'],['../classarm__compute_1_1_normalization_layer_info.xhtml#abf43f970446f0b82889df52463b9c2b8',1,'arm_compute::NormalizationLayerInfo::type()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec',1,'arm_compute::graph::INode::type()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ActivationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BatchNormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::BoundingBoxTransformLayerNode::type()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ChannelShuffleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConcatenateLayerNode::type()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConstNode::type()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DeconvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::type()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DetectionOutputLayerNode::type()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::DummyNode::type()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::EltwiseLayerNode::type()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FlattenLayerNode::type()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::FullyConnectedLayerNode::type()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::GenerateProposalsLayerNode::type()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::InputNode::type()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizationLayerNode::type()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::type()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::OutputNode::type()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PadLayerNode::type()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PermuteLayerNode::type()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PoolingLayerNode::type()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::PriorBoxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReorgLayerNode::type()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ReshapeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ResizeLayerNode::type()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::ROIAlignLayerNode::type()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SliceLayerNode::type()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SoftmaxLayerNode::type()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::SplitLayerNode::type()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::UpsampleLayerNode::type()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5',1,'arm_compute::graph::YOLOLayerNode::type()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::CLLut::type()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#aa5369d30001dbd8880fb58d6af2b40a0',1,'arm_compute::ILutAllocator::type()'],['../classarm__compute_1_1_lut.xhtml#a6dc9c052a2732f899adccfaeee468364',1,'arm_compute::Lut::type()']]]
 ];
diff --git a/documentation/search/functions_14.html b/documentation/search/functions_14.html
index 4c814f5..4c663fa 100644
--- a/documentation/search/functions_14.html
+++ b/documentation/search/functions_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_14.js b/documentation/search/functions_14.js
index 4d5a9cf..5756906 100644
--- a/documentation/search/functions_14.js
+++ b/documentation/search/functions_14.js
@@ -6,6 +6,7 @@
   ['unit',['unit',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a2ae8373fc56f956b1988b85963b3904c',1,'arm_compute::test::framework::Measurement']]],
   ['unlock_5fpool',['unlock_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#af7d957b92062705c6273d8d56eda2c8e',1,'arm_compute::IPoolManager::unlock_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#a7520a565247b2aa3c13dcc4d9332cc4a',1,'arm_compute::PoolManager::unlock_pool()']]],
   ['unmap',['unmap',['../classarm__compute_1_1_i_c_l_array.xhtml#af974a2360069c2ef8df4496d00e4f6cc',1,'arm_compute::ICLArray::unmap()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#af974a2360069c2ef8df4496d00e4f6cc',1,'arm_compute::ICLDistribution1D::unmap()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#af974a2360069c2ef8df4496d00e4f6cc',1,'arm_compute::ICLHOG::unmap()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#af974a2360069c2ef8df4496d00e4f6cc',1,'arm_compute::ICLLut::unmap()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#af974a2360069c2ef8df4496d00e4f6cc',1,'arm_compute::ICLTensor::unmap()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::IGCTensor::unmap()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a7deff0e432f0883942948c55c12673d2',1,'arm_compute::graph::backends::CLSubTensorHandle::unmap()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a7deff0e432f0883942948c55c12673d2',1,'arm_compute::graph::backends::CLTensorHandle::unmap()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a7deff0e432f0883942948c55c12673d2',1,'arm_compute::graph::backends::GCTensorHandle::unmap()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a7deff0e432f0883942948c55c12673d2',1,'arm_compute::graph::backends::NESubTensorHandle::unmap()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7deff0e432f0883942948c55c12673d2',1,'arm_compute::graph::backends::NETensorHandle::unmap()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a21164b8d700d97aa462e75e314048f46',1,'arm_compute::graph::ITensorHandle::unmap()'],['../classarm__compute_1_1_c_l_array.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLArray::unmap()'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLDistribution1D::unmap()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLHOG::unmap()'],['../classarm__compute_1_1_c_l_lut.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLLut::unmap()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a34b854d640d247bd7422f60ca2f3a05c',1,'arm_compute::CLLutAllocator::unmap()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a0ee6b952accaff0f7e8e61bda7889102',1,'arm_compute::ICLMemoryRegion::unmap()'],['../classarm__compute_1_1_c_l_buffer_memory_region.xhtml#a14c7c495a1add2aec81bc886462efe89',1,'arm_compute::CLBufferMemoryRegion::unmap()'],['../classarm__compute_1_1_c_l_coarse_s_v_m_memory_region.xhtml#a14c7c495a1add2aec81bc886462efe89',1,'arm_compute::CLCoarseSVMMemoryRegion::unmap()'],['../classarm__compute_1_1_c_l_fine_s_v_m_memory_region.xhtml#a14c7c495a1add2aec81bc886462efe89',1,'arm_compute::CLFineSVMMemoryRegion::unmap()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLSubTensor::unmap()'],['../classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::CLTensor::unmap()'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a34b854d640d247bd7422f60ca2f3a05c',1,'arm_compute::CLTensorAllocator::unmap()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a21164b8d700d97aa462e75e314048f46',1,'arm_compute::IGCMemoryRegion::unmap()'],['../classarm__compute_1_1_g_c_buffer_memory_region.xhtml#a8f2f7a8fe42dbff289d4ff43c6a2414b',1,'arm_compute::GCBufferMemoryRegion::unmap()'],['../classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::GCTensor::unmap()'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a1ffeb3b5abb3d61f62b58a391816201c',1,'arm_compute::GCTensorAllocator::unmap()'],['../namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774',1,'arm_compute::utils::unmap()']]],
+  ['unstack',['unstack',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abe272472696bc4aa07058beae42c2706',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; T &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6875441960841feccd15a265409b6d7f',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; float &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad1aa5278545903400c542ac3e2a8b497',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; half &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;output_tensors, int axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab3cc70aa61afb1c147878c2c9e7646ed',1,'arm_compute::test::validation::reference::unstack(const SimpleTensor&lt; uint8_t &gt; &amp;input_tensor, std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;output_tensors, int axis)']]],
   ['unuse',['unuse',['../classarm__compute_1_1_g_c_kernel.xhtml#ae02bc07b18ddc44c29318c100a063d3a',1,'arm_compute::GCKernel']]],
   ['update_5fbound_5ftensor',['update_bound_tensor',['../classarm__compute_1_1graph_1_1_edge.xhtml#aa4dfdb91786eda8e0c3b532809a2c5d9',1,'arm_compute::graph::Edge']]],
   ['update_5fimage_5ffrom_5ftensor3d_5fworkitem_5fptr',['update_image_from_tensor3D_workitem_ptr',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a65fd24237c8278ecb38183f93cc70f05',1,'helpers.h']]],
diff --git a/documentation/search/functions_15.html b/documentation/search/functions_15.html
index 0f002b8..071f6c4 100644
--- a/documentation/search/functions_15.html
+++ b/documentation/search/functions_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_15.js b/documentation/search/functions_15.js
index 11233ec..0d4a0e9 100644
--- a/documentation/search/functions_15.js
+++ b/documentation/search/functions_15.js
@@ -1,15 +1,17 @@
 var searchData=
 [
+  ['vabs',['vabs',['../namespacearm__compute_1_1wrapper.xhtml#a4c1fe3150ad2ca29262dc6403605e65c',1,'arm_compute::wrapper::vabs(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a484e302d4944d7edcb7b206690251474',1,'arm_compute::wrapper::vabs(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a27386b9187cc0bba9c21769c0731a72a',1,'arm_compute::wrapper::vabs(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#af39453b73d1958aa8a0ea58ca86efaff',1,'arm_compute::wrapper::vabs(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ad8275425767f39b246862f11cef3328d',1,'arm_compute::wrapper::vabs(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a054ba55607f82d2bcee3a9bc5d3a7251',1,'arm_compute::wrapper::vabs(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa400d422f18b0210e84a04c03cb4ffa',1,'arm_compute::wrapper::vabs(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab935e0aae10321cfed3ff126ec52aa86',1,'arm_compute::wrapper::vabs(const float32x4_t &amp;a)']]],
   ['vadd',['vadd',['../namespacearm__compute_1_1wrapper.xhtml#a1894e825a225f3b2013f594cbffdae73',1,'arm_compute::wrapper::vadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7c573cf41e883d4d37bd8dff8fcbd0f2',1,'arm_compute::wrapper::vadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a73d9b74710e651e7cdbf4cfafb944d8a',1,'arm_compute::wrapper::vadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a51ed0d744f6dca340bc175241a2653d4',1,'arm_compute::wrapper::vadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1de26ff774cac4d14a9a99760139a379',1,'arm_compute::wrapper::vadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adbc3286703ea68773578b2601a3fd797',1,'arm_compute::wrapper::vadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a44649f1c855e68e4cab5f7f72daeb30b',1,'arm_compute::wrapper::vadd(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa295c4e77f9e2ccd31f0fa815a9e4231',1,'arm_compute::wrapper::vadd(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a04549b1ddb03008ac1c0ff3fc18ff335',1,'arm_compute::wrapper::vadd(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a08ed369986c867b850a74635764e3764',1,'arm_compute::wrapper::vadd(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a00611d18ac6548c52d5f3e5eec52f3fc',1,'arm_compute::wrapper::vadd(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a001774f1457ef953dce3cbfd7ca3a720',1,'arm_compute::wrapper::vadd(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7b3548ff67e64b1b559f005728643115',1,'arm_compute::wrapper::vadd(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a38f13009919fa0bb1bf096aca2fc2b52',1,'arm_compute::wrapper::vadd(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae6e61403aa3b1ea42cb8623235a060d2',1,'arm_compute::wrapper::vadd(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4be8554b097bb191efca07c064500b0a',1,'arm_compute::wrapper::vadd(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a85bff4b042de6d354194fd5faec611b2',1,'arm_compute::wrapper::vadd(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5facaa0c056dc73dfa6a49cde91240c4',1,'arm_compute::wrapper::vadd(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#abe949a509da417044624d62a73057441',1,'arm_compute::vadd(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)'],['../namespacearm__compute.xhtml#ab11431f1a64a618e5ed1d37634d0e0fe',1,'arm_compute::vadd(vec_16_byte_t&lt; float &gt; a, vec_16_byte_t&lt; float &gt; b)'],['../namespacearm__compute.xhtml#a4cc9ed76f48e918e73249c894380f91b',1,'arm_compute::vadd(float32x4x4_t a, float32x4x4_t b)']]],
   ['valid_5fbilinear_5fpolicy',['valid_bilinear_policy',['../namespacearm__compute_1_1test_1_1validation.xhtml#a997c20c740c2cf8dd5676ad55ad8a1a6',1,'arm_compute::test::validation::valid_bilinear_policy()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3064cbee60ab97935e8d1df617f82b5c',1,'arm_compute::test::validation::reference::valid_bilinear_policy()']]],
   ['valid_5fregion',['valid_region',['../classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95',1,'arm_compute::ITensorInfo::valid_region()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a3c20d908342087484d883574d55dd482',1,'arm_compute::SubTensorInfo::valid_region()'],['../classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482',1,'arm_compute::TensorInfo::valid_region()']]],
-  ['validate',['validate',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivisionKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#aedb200ab7a0869c2a2db89f07b53367c',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransformKernel::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1877ad9505323d75f1a301f30a528ab4',1,'arm_compute::CLCol2ImKernel::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#ace5d816c012fffa933058b4e6c63253d',1,'arm_compute::CLCopyKernel::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::CLDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a21d42fbf490065b8a9ceabebfe77743e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a74a47c8814412a6ab9f7e9ee8f17a684',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a19daa09ccd2ecab4356930ab6233027d',1,'arm_compute::CLDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::CLDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#abf6d9f2ce0ee2f7ce645b79260dba556',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1e6b576c45f94ebf95097f045ba55002',1,'arm_compute::CLDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayerKernel::validate()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloorKernel::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a6d76f57d68ffa1090f72225547df15b6',1,'arm_compute::CLGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a82516a7054fc79efa2230cdae0499a85',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a3527d5d31a2975b03224fa4cc136b88a',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a46e5929d20bb4cc0678590dfa251df9e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a21f628daa45675076fd25e46a052a53a',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aacce47387e80c160a47584829ab0edb1',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::CLGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#abf9493f85567544138e72322f5565c8f',1,'arm_compute::CLGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#ad24cc142f898e2a16a23b290215065d0',1,'arm_compute::CLGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchorsKernel::validate()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::CLIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#aa9312e3ad11325dcff76ed212a23b4e7',1,'arm_compute::CLL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1',1,'arm_compute::CLMeanStdDevKernel::validate()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#ae6cba14af0dac686631cafe793aca5c5',1,'arm_compute::CLMemsetKernel::validate()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ad83238a0d9baa0e1ca81455a0f4adc9f',1,'arm_compute::CLNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermuteKernel::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayerKernel::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a70f3563d88b1fc582c263f5be7ae2bb2',1,'arm_compute::CLReductionOperationKernel::validate()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayerKernel::validate()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a79c9682f92afadbf8836aefd8c4d728c',1,'arm_compute::CLScaleKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06',1,'arm_compute::CLLogits1DMaxKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381',1,'arm_compute::CLLogits1DShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330',1,'arm_compute::CLLogits1DNormKernel::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::CLStridedSliceKernel::validate()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTransposeKernel::validate()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a90066609e6f00aad9d9a2a8951aef7aa',1,'arm_compute::CLWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLWidthConcatenate2TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a7a7d53bfb54f24863fcab9a046753c86',1,'arm_compute::CLWidthConcatenate4TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::CLWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradFilterTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::CLWinogradOutputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayerKernel::validate()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermuteKernel::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::GCBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6902b8a897391fd3c0f186bef31f4d20',1,'arm_compute::GCGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a18792660d79fe30c94c1a28387265082',1,'arm_compute::GCIm2ColKernel::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2ImKernel::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopyKernel::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::NEDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5399e29a7181f3d0a30ea60fb2a3bc',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ae343a06f1e1e92d8a5573c695fba847b',1,'arm_compute::NEDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::NEDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a0c1e64e3caf1227a2eabae8aeb86d381',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a38da9c4ac16c0ca78e5d7176aab3435e',1,'arm_compute::NEDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayerKernel::validate()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloorKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a18a1134c4a0899ab68380c56ca33500b',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a283024f5b1ee165da06d949700520a38',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a1e76328ce0c8fa275d2bbe0653ddeaad',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a67759131249ecc51533fe269d0d90c51',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::NEGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ac91476ef04db46dad52f3cd1e2fae18e',1,'arm_compute::NEGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a95b11d7f930f7e1fd9924cd300457098',1,'arm_compute::NEL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0b5277c961e4801d77268146b43e45c1',1,'arm_compute::NENormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermuteKernel::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a06da727509836873ac00b466564d08ea',1,'arm_compute::NEScaleKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NELogits1DMaxKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ae9a64d99f08581b961e1ac5a5fc46af8',1,'arm_compute::NELogits1DSoftmaxKernel::validate()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETransposeKernel::validate()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a614bc53946fb31b6b27614429446a6a7',1,'arm_compute::NEUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#aaa0ba7f013b026d5f823d3193371be59',1,'arm_compute::NEWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::NEWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformInputKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::NEWinogradLayerTransformOutputKernel::validate()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayerKernel::validate()'],['../classarm__compute_1_1_window.xhtml#ab3a68a01a1c7c22bfbd9f3f6d20e7d5a',1,'arm_compute::Window::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::CLNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::GCNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::NENodeValidator::validate()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15',1,'arm_compute::graph::INode::validate()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a600f574bc2868a148f9a746d16774dbd',1,'arm_compute::graph::SplitLayerNode::validate()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayer::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAddition::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivision::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtraction::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#abbc5937e916ca9f16645d404fc137761',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, int32_t block_shape_x, int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransform::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayer::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchors::validate()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#aca9a72ce2e58da3f994ac9c44130ac2e',1,'arm_compute::CLConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::CLConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLCopy::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a8002b55f78334c953460d659ecf46f34',1,'arm_compute::CLDeconvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsample::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::CLDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayer::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a40ed745a4f2c9b4aeb7300a28cf0d229',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::CLDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayer::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd',1,'arm_compute::CLDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayer::validate()'],['../classarm__compute_1_1_c_l_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloor::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::CLFullyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalization::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::CLGEMM::validate()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a25364a94d15ee892bf2db2a37fa67be6',1,'arm_compute::CLConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::CLGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::validate()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd',1,'arm_compute::CLGenerateProposalsLayer::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::CLL2NormalizeLayer::validate()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::CLLocallyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::CLLSTMLayer::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36',1,'arm_compute::CLMeanStdDev::validate()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::CLNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a4b6fa54ed45930017967fc9bc4c99aa3',1,'arm_compute::CLPadLayer::validate()'],['../classarm__compute_1_1_c_l_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermute::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayer::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayer::validate()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLQuantizationLayer::validate()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::CLReduceMean::validate()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::CLReductionOperation::validate()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayer::validate()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayer::validate()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::CLRNNLayer::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayer::validate()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::CLScale::validate()'],['../classarm__compute_1_1_c_l_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::CLSlice::validate()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::CLSoftmaxLayer::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a1e450094356427ed60b8f574488c5ffa',1,'arm_compute::CLSplit::validate()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::CLStridedSlice::validate()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTranspose::validate()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayer::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::CLWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::CLWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransform::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayer::validate()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermute::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAddition::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a79dcdcd8851f3c170ff581e993364fbd',1,'arm_compute::GCGEMM::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayer::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAddition::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtraction::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayer::validate()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2Im::validate()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#aca9a72ce2e58da3f994ac9c44130ac2e',1,'arm_compute::NEConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::NEConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopy::validate()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ab8203eefc06b62be5610b841c861d6d7',1,'arm_compute::NEDeconvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::NEDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayer::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayer::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#aaa714636095e79d5e53567a924f3d9ae',1,'arm_compute::NEDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayer::validate()'],['../classarm__compute_1_1_n_e_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloor::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::NEFullyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::NEGEMM::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a80206e1dccb80426b563e3e8466bfd87',1,'arm_compute::NEGEMMAssemblyDispatch::validate()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a224bc0dd323828beab8c7edeeb539cb3',1,'arm_compute::NEConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::NEGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xW::validate()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2Col::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::NEL2NormalizeLayer::validate()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::NELocallyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::NELSTMLayer::validate()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::NENormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermute::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayer::validate()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEQuantizationLayer::validate()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::NEReduceMean::validate()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperation::validate()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayer::validate()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayer::validate()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::NERNNLayer::validate()'],['../classarm__compute_1_1_n_e_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::NEScale::validate()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::NESoftmaxLayer::validate()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETranspose::validate()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a976d7e038d2dc22457c006f6d7e08839',1,'arm_compute::NEUpsampleLayer::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#a46683d190483bebc3c814866a7035f9a',1,'arm_compute::NEWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::NEWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayer::validate()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#ab8b6b10969f8435d21a0fa6e46362d59',1,'arm_compute::test::CLSynthetizeFunction::validate()'],['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a3566e1a9ec7fedc6e4fc47fab7c18532',1,'arm_compute::utils::CommandLineParser::validate()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd3a8f060f8fcf2ab4ec7d9d14c1f30',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed61c5c2a9205b62faca59381ac185b1',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a091613692766d1e34ad31fe0f403a01b',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), dst_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14d61c73a88e02b1911b967640f8b383',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), src_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06c8638559b9de713abe0badcb413259',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), dst_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e4b6b68aa02e54d0cfa7925aacfeba0',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), width_padding, height_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f',1,'arm_compute::test::validation::validate(const arm_compute::ValidRegion &amp;region, const arm_compute::ValidRegion &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a988c4a67dfa987caea90f71a4ad3a8b5',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;width_reference, const arm_compute::PaddingSize &amp;height_reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const void *reference_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, BorderSize border_size, const BorderMode &amp;border_mode, const void *border_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334',1,'arm_compute::test::validation::validate(std::vector&lt; unsigned int &gt; classified_labels, std::vector&lt; unsigned int &gt; expected_labels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa24df7339d073ba83dae2de61cc80416',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a7133ce9111c2d17597730ae3629b87',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const ValidRegion &amp;valid_region, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98de28726e7f2151e37de88468d7c8ae',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const SimpleTensor&lt; T &gt; &amp;valid_mask, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c19347e16069660a1a3ae62e1d607ee',1,'arm_compute::test::validation::validate(T target, T reference, U tolerance=AbsoluteTolerance&lt; T &gt;())']]],
+  ['validate',['validate',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#aedb200ab7a0869c2a2db89f07b53367c',1,'arm_compute::CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransformKernel::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1877ad9505323d75f1a301f30a528ab4',1,'arm_compute::CLCol2ImKernel::validate()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a9bd6bc01790e6124a778725430e764c9',1,'arm_compute::CLComparisonKernel::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#ace5d816c012fffa933058b4e6c63253d',1,'arm_compute::CLCopyKernel::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::CLDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a21d42fbf490065b8a9ceabebfe77743e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a74a47c8814412a6ab9f7e9ee8f17a684',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#abf6d9f2ce0ee2f7ce645b79260dba556',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a7d1b77dcce9f67e5748d24583b78469a',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a19daa09ccd2ecab4356930ab6233027d',1,'arm_compute::CLDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::CLDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1e6b576c45f94ebf95097f045ba55002',1,'arm_compute::CLDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad8de41bdd36af838b251be792a8d871f',1,'arm_compute::CLSaturatedArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616',1,'arm_compute::CLArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#ac5c69bb62e6c72a8513b5be3478e9583',1,'arm_compute::CLElementWiseUnaryLayerKernel::validate()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayerKernel::validate()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloorKernel::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a098bc5a2e3b4806b492e7128f7a766d7',1,'arm_compute::CLGatherKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a6d76f57d68ffa1090f72225547df15b6',1,'arm_compute::CLGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a82516a7054fc79efa2230cdae0499a85',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a96f40eda5c40e254a6729e8bc0cb8195',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a3527d5d31a2975b03224fa4cc136b88a',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a46e5929d20bb4cc0678590dfa251df9e',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a21f628daa45675076fd25e46a052a53a',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aacce47387e80c160a47584829ab0edb1',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::CLGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a9798dff298d3588874b6aed0f41743a9',1,'arm_compute::CLGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ab3c446588dcc84f4cf6e9df878f5bc1e',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a5c71f56a17ffbf89b745cd41e9db66f1',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aca0da52b749b54d37ff996f4b28f6762',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#ad24cc142f898e2a16a23b290215065d0',1,'arm_compute::CLGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchorsKernel::validate()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::CLIm2ColKernel::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#aa9312e3ad11325dcff76ed212a23b4e7',1,'arm_compute::CLL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#aa7d5b2d0fac7c644ec17a1c129f060f1',1,'arm_compute::CLMeanStdDevKernel::validate()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#ae6cba14af0dac686631cafe793aca5c5',1,'arm_compute::CLMemsetKernel::validate()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ad83238a0d9baa0e1ca81455a0f4adc9f',1,'arm_compute::CLNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermuteKernel::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayerKernel::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a537003f865d7f57bc977fa9c56ffcc9d',1,'arm_compute::CLRangeKernel::validate()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a70f3563d88b1fc582c263f5be7ae2bb2',1,'arm_compute::CLReductionOperationKernel::validate()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayerKernel::validate()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::CLReverseKernel::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayerKernel::validate()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a79c9682f92afadbf8836aefd8c4d728c',1,'arm_compute::CLScaleKernel::validate()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::CLSelectKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a5192c53832168a12f3997ea01101aa06',1,'arm_compute::CLLogits1DMaxKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa1f93168c2675d291b43b63574c2c381',1,'arm_compute::CLLogits1DShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a62885f3bde4b458c02316bfc3f339fbc',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::validate()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a4695d31f9e67a1344f00f52158f02330',1,'arm_compute::CLLogits1DNormKernel::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a88bcde84c83290cd3290e562a8dd4905',1,'arm_compute::CLStackLayerKernel::validate()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::CLStridedSliceKernel::validate()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::CLTileKernel::validate()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTransposeKernel::validate()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a90066609e6f00aad9d9a2a8951aef7aa',1,'arm_compute::CLWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLWidthConcatenate2TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a7a7d53bfb54f24863fcab9a046753c86',1,'arm_compute::CLWidthConcatenate4TensorsKernel::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::CLWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradFilterTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a046b6ea49a42b3303fca3785ec0ce04a',1,'arm_compute::CLWinogradOutputTransformKernel::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayerKernel::validate()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermuteKernel::validate()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a78f9128e5b414dc15c66d2d21d55117c',1,'arm_compute::CPPTopKVKernel::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::GCBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6902b8a897391fd3c0f186bef31f4d20',1,'arm_compute::GCGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a18792660d79fe30c94c1a28387265082',1,'arm_compute::GCIm2ColKernel::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::validate()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtractionKernel::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2ImKernel::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopyKernel::validate()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a77d50017474f3c85f1441de44fde1587',1,'arm_compute::NEDepthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayerKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5399e29a7181f3d0a30ea60fb2a3bc',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ae343a06f1e1e92d8a5573c695fba847b',1,'arm_compute::NEDepthwiseIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#afec32bb9280b58786b78b36076343894',1,'arm_compute::NEDepthwiseVectorToTensorKernel::validate()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a0c1e64e3caf1227a2eabae8aeb86d381',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a38da9c4ac16c0ca78e5d7176aab3435e',1,'arm_compute::NEDirectConvolutionLayerKernel::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ae2d1f3ac8abfab13e554dd6311566540',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::validate()'],['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a52095bfe8f4fc368d3ec84a8dac4d616',1,'arm_compute::NEArithmeticOperationKernel::validate()'],['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEDivisionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#aa4dc6e8191da7608f894b446ee19b6b3',1,'arm_compute::NEComparisonOperationKernel::validate()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ac34f3ebc3a9e9f2bb454ed11ee1e1f42',1,'arm_compute::NEElementwiseUnaryKernel::validate()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayerKernel::validate()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloorKernel::validate()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::NEFuseBatchNormalizationKernel::validate()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#aa6fcee03478372f96bc71e6227a36d21',1,'arm_compute::NEGatherKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMInterleave4x4Kernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a18a1134c4a0899ab68380c56ca33500b',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a283024f5b1ee165da06d949700520a38',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a1e76328ce0c8fa275d2bbe0653ddeaad',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a67759131249ecc51533fe269d0d90c51',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ae722d2edbab88977ea4604d5395d8463',1,'arm_compute::NEGEMMMatrixAdditionKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ac91476ef04db46dad52f3cd1e2fae18e',1,'arm_compute::NEGEMMMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xWKernel::validate()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2ColKernel::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a95b11d7f930f7e1fd9924cd300457098',1,'arm_compute::NEL2NormalizeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a0d647d83c8512fa95fa9adb8fb3e0cab',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::validate()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEMinMaxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0b5277c961e4801d77268146b43e45c1',1,'arm_compute::NENormalizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermuteKernel::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplicationKernel::validate()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayerKernel::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayerKernel::validate()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEQuantizationLayerKernel::validate()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a537003f865d7f57bc977fa9c56ffcc9d',1,'arm_compute::NERangeKernel::validate()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperationKernel::validate()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayerKernel::validate()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::NEReverseKernel::validate()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a06da727509836873ac00b466564d08ea',1,'arm_compute::NEScaleKernel::validate()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::NESelectKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NELogits1DMaxKernel::validate()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ae9a64d99f08581b961e1ac5a5fc46af8',1,'arm_compute::NELogits1DSoftmaxKernel::validate()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a88bcde84c83290cd3290e562a8dd4905',1,'arm_compute::NEStackLayerKernel::validate()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a6263412874ea8de19fe395afedbf9b2e',1,'arm_compute::NEStridedSliceKernel::validate()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::NETileKernel::validate()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETransposeKernel::validate()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a614bc53946fb31b6b27614429446a6a7',1,'arm_compute::NEUpsampleLayerKernel::validate()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#aaa0ba7f013b026d5f823d3193371be59',1,'arm_compute::NEWeightsReshapeKernel::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#adecdb3cc6b7b36f8bfbcd777ff021809',1,'arm_compute::NEWidthConcatenateLayerKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformInputKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a9ede996037a6406aca5217f9ad5e2f28',1,'arm_compute::NEWinogradLayerTransformOutputKernel::validate()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a8b4165c2e7c5c983b930a0f5f4df6acf',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayerKernel::validate()'],['../classarm__compute_1_1_window.xhtml#ab3a68a01a1c7c22bfbd9f3f6d20e7d5a',1,'arm_compute::Window::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::CLNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::GCNodeValidator::validate()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_node_validator.xhtml#a0779bcdedc0eebdd3e24c3f1b6356128',1,'arm_compute::graph::backends::NENodeValidator::validate()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a0f3b12aedc549ea5ba08cbb36871da15',1,'arm_compute::graph::INode::validate()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a600f574bc2868a148f9a746d16774dbd',1,'arm_compute::graph::SplitLayerNode::validate()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::CLActivationLayer::validate()'],['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#a8ca6af696d79377d724e7fce26a9f7e9',1,'arm_compute::CLArgMinMaxLayer::validate()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::CLBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#ac0baf18f9ebf17c2522561b32d788549',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#abbc5937e916ca9f16645d404fc137761',1,'arm_compute::CLBatchToSpaceLayer::validate(const ITensorInfo *input, int32_t block_shape_x, int32_t block_shape_y, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#a174ade6b3a2fe6cf00192a9419514cc1',1,'arm_compute::CLBoundingBoxTransform::validate()'],['../classarm__compute_1_1_c_l_cast.xhtml#afb488c1da81a6bdfad4a116d2a189fbb',1,'arm_compute::CLCast::validate()'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::CLChannelShuffleLayer::validate()'],['../classarm__compute_1_1_c_l_comparison.xhtml#a9bd6bc01790e6124a778725430e764c9',1,'arm_compute::CLComparison::validate()'],['../classarm__compute_1_1_c_l_comparison_static.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLComparisonStatic::validate()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a3104e859ad98ef70c9d47bbaa5d209e8',1,'arm_compute::CLComputeAllAnchors::validate()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ac5e35e6a164d536e28bc188a6c2e28a3',1,'arm_compute::CLConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::CLConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::CLConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLCopy::validate()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a8002b55f78334c953460d659ecf46f34',1,'arm_compute::CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0907e57bf4023f3a3ecf6d2a88902c2f',1,'arm_compute::CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &amp;info, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a26af7a2cfde78819fefb83897e8e7e0a',1,'arm_compute::CLDeconvolutionLayerUpsample::validate()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::CLDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a31fdffa6cbd16d74f8c2da415e6f4912',1,'arm_compute::CLDepthConvertLayer::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a40ed745a4f2c9b4aeb7300a28cf0d229',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::CLDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::CLDequantizationLayer::validate()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd',1,'arm_compute::CLDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticAddition::validate()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::CLArithmeticSubtraction::validate()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLArithmeticDivision::validate()'],['../classarm__compute_1_1_c_l_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseMax::validate()'],['../classarm__compute_1_1_c_l_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseMin::validate()'],['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::CLElementwiseSquaredDiff::validate()'],['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLRsqrtLayer::validate()'],['../classarm__compute_1_1_c_l_exp_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLExpLayer::validate()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFlattenLayer::validate()'],['../classarm__compute_1_1_c_l_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFloor::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::CLFullyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::CLFuseBatchNormalization::validate()'],['../classarm__compute_1_1_c_l_gather.xhtml#a098bc5a2e3b4806b492e7128f7a766d7',1,'arm_compute::CLGather::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::CLGEMM::validate()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#a25364a94d15ee892bf2db2a37fa67be6',1,'arm_compute::CLConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::CLGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::validate()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a0dd15c751cbdd5768cb781ef766e50dd',1,'arm_compute::CLGenerateProposalsLayer::validate()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::CLL2NormalizeLayer::validate()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::CLLocallyConnectedLayer::validate()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::CLLSTMLayer::validate()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa0c625593b8ab7d8bd1ba442519e5b36',1,'arm_compute::CLMeanStdDev::validate()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::CLNormalizationLayer::validate()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::CLNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a9673ad5cef1122670c6afc851e399b2f',1,'arm_compute::CLPadLayer::validate()'],['../classarm__compute_1_1_c_l_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CLPermute::validate()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::CLPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::CLPoolingLayer::validate()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::CLPriorBoxLayer::validate()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLQuantizationLayer::validate()'],['../classarm__compute_1_1_c_l_range.xhtml#ad56e8c46ec7817686c2612c58b14934b',1,'arm_compute::CLRange::validate()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::CLReduceMean::validate()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::CLReductionOperation::validate()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::CLReorgLayer::validate()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLReshapeLayer::validate()'],['../classarm__compute_1_1_c_l_reverse.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::CLReverse::validate()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::CLRNNLayer::validate()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a84556a70e5b258e65c74bcbb9f3587ed',1,'arm_compute::CLROIAlignLayer::validate()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::CLScale::validate()'],['../classarm__compute_1_1_c_l_select.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::CLSelect::validate()'],['../classarm__compute_1_1_c_l_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::CLSlice::validate()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::CLSoftmaxLayer::validate()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ab8f413c7da32b23bf894b1e8be7bf489',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a5057c68489097b2789c327222b3fbc0f',1,'arm_compute::CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, const ITensorInfo *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a8b59056f103952a49529ce4b10181aaa',1,'arm_compute::CLSplit::validate()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#abfa2d51d1ba66ef4836d509043f7c58c',1,'arm_compute::CLStackLayer::validate()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::CLStridedSlice::validate()'],['../classarm__compute_1_1_c_l_tile.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::CLTile::validate()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::CLTranspose::validate()'],['../classarm__compute_1_1_c_l_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d',1,'arm_compute::CLUnstack::validate()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#adeb9bab6734ef3a4bf4485cff2fe9dd9',1,'arm_compute::CLUpsampleLayer::validate()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::CLWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::CLWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a6d3d1d4d66f89908455bc5f05e259ce9',1,'arm_compute::CLWinogradInputTransform::validate()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::CLYOLOLayer::validate()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ac36104d178e32cb6e30af07e69d978d4',1,'arm_compute::CPPNonMaximumSuppression::validate()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#af1d5e758d546e837b9cabb5991d387e0',1,'arm_compute::CPPDetectionOutputLayer::validate()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::CPPPermute::validate()'],['../classarm__compute_1_1_c_p_p_top_k_v.xhtml#a78f9128e5b414dc15c66d2d21d55117c',1,'arm_compute::CPPTopKV::validate()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::GCArithmeticAddition::validate()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a79dcdcd8851f3c170ff581e993364fbd',1,'arm_compute::GCGEMM::validate()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#ae234b520fd9ea3f9186e191b019c9a97',1,'arm_compute::GCNormalizePlanarYUVLayer::validate()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::GCPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#aa37e2d0b4cd4f835bfa2a2df4a0bdd2c',1,'arm_compute::NEActivationLayer::validate()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#a8ca6af696d79377d724e7fce26a9f7e9',1,'arm_compute::NEArgMinMaxLayer::validate()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticAddition::validate()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a5e951bf3e414ddcd908245bcf284b08f',1,'arm_compute::NEArithmeticSubtraction::validate()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a7b183c349117a66b3f74138d5d86d634',1,'arm_compute::NEBatchNormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a717260f50941d01259aa07f1f30da612',1,'arm_compute::NEChannelShuffleLayer::validate()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a35842b155e2204bb6831588a0ffcc6d3',1,'arm_compute::NECol2Im::validate()'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ac5e35e6a164d536e28bc188a6c2e28a3',1,'arm_compute::NEConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#a01b81c1c60fd95dc360fd7ad680f114b',1,'arm_compute::NEConvertFullyConnectedWeights::validate()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a1a37ad594537835b39165a1369dd254c',1,'arm_compute::NEConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_copy.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NECopy::validate()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ab8203eefc06b62be5610b841c861d6d7',1,'arm_compute::NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top)'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ace66db1c44289ba6204f000f24e42c69',1,'arm_compute::NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &amp;info)'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::NEDepthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a87d58379bfe38d6845102cf762fbea63',1,'arm_compute::NEDepthConvertLayer::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::validate()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a49efd29e0d65aa11d10eb74fb6d9a894',1,'arm_compute::NEDepthwiseConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#aebfd4e9a838de3082cdb5894d33e8a04',1,'arm_compute::NEDequantizationLayer::validate()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#aaa714636095e79d5e53567a924f3d9ae',1,'arm_compute::NEDirectConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_elementwise_max.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseMax::validate()'],['../classarm__compute_1_1_n_e_elementwise_min.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseMin::validate()'],['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseSquaredDiff::validate()'],['../classarm__compute_1_1_n_e_elementwise_division.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseDivision::validate()'],['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml#a3c6c21badfd0002fd036410be5b1dcb1',1,'arm_compute::NEElementwiseComparison::validate()'],['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml#afe71126bef1735fe1613a6da30d2c0c4',1,'arm_compute::NEElementwiseComparisonStatic::validate()'],['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NERsqrtLayer::validate()'],['../classarm__compute_1_1_n_e_exp_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEExpLayer::validate()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFlattenLayer::validate()'],['../classarm__compute_1_1_n_e_floor.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFloor::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a8da875051f2d75a497fb2de9cdd2e6cb',1,'arm_compute::NEFullyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a621bb2b91dff1e06743ed90ddb8c38ca',1,'arm_compute::NEFuseBatchNormalization::validate()'],['../classarm__compute_1_1_n_e_gather.xhtml#aa6fcee03478372f96bc71e6227a36d21',1,'arm_compute::NEGather::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac',1,'arm_compute::NEGEMM::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a80206e1dccb80426b563e3e8466bfd87',1,'arm_compute::NEGEMMAssemblyDispatch::validate()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a224bc0dd323828beab8c7edeeb539cb3',1,'arm_compute::NEConvolutionLayerReshapeWeights::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a3113fd3147c1bbc06b3f9890063c87c7',1,'arm_compute::NEGEMMConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a8c3cf2d65afb288e39909171ada19566',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEGEMMTranspose1xW::validate()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a4e256965ba7798ffe1358469be661e5a',1,'arm_compute::NEIm2Col::validate()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a9f1f5be29baa0c5fa809c6bae593ea0a',1,'arm_compute::NEL2NormalizeLayer::validate()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a126f91e344585b85ae09a7b76e68c520',1,'arm_compute::NELocallyConnectedLayer::validate()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa05bceba37ded272a464a90becd9cd99',1,'arm_compute::NELSTMLayer::validate()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a9a022a0e5540e2648d899a18f7e2e932',1,'arm_compute::NENormalizationLayer::validate()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#a9673ad5cef1122670c6afc851e399b2f',1,'arm_compute::NEPadLayer::validate()'],['../classarm__compute_1_1_n_e_permute.xhtml#a97f09e05a72865753ecb1948b38d4843',1,'arm_compute::NEPermute::validate()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a705182fc799dce8ee017368eea0ca539',1,'arm_compute::NEPixelWiseMultiplication::validate()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#ad9271771801540c842010e7fde5f457c',1,'arm_compute::NEPoolingLayer::validate()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a4586cda814cbf465e6ab2660831e33cd',1,'arm_compute::NEPriorBoxLayer::validate()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEQuantizationLayer::validate()'],['../classarm__compute_1_1_n_e_range.xhtml#ad56e8c46ec7817686c2612c58b14934b',1,'arm_compute::NERange::validate()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a4399d123b93fac32d66025caa251cdfe',1,'arm_compute::NEReduceMean::validate()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a358b25909dda0c7c6f49d40f91cd1112',1,'arm_compute::NEReductionOperation::validate()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#acaf7429e919f44042d6de09844ca79b1',1,'arm_compute::NEReorgLayer::validate()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NEReshapeLayer::validate()'],['../classarm__compute_1_1_n_e_reverse.xhtml#a3289007bd21fd0692210f84050d18f46',1,'arm_compute::NEReverse::validate()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a25cb8dc27e1dcd3cf00e930ae01ba97e',1,'arm_compute::NERNNLayer::validate()'],['../classarm__compute_1_1_n_e_scale.xhtml#aa410edd8e39d47eeb7fd07085d071bb4',1,'arm_compute::NEScale::validate()'],['../classarm__compute_1_1_n_e_select.xhtml#af5ad0300bd3400444dce993099c61685',1,'arm_compute::NESelect::validate()'],['../classarm__compute_1_1_n_e_slice.xhtml#afb48914092f4bb2fdf249fa1e3fcd17c',1,'arm_compute::NESlice::validate()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a85db282920d24cd0f4dca6a439201a43',1,'arm_compute::NESoftmaxLayer::validate()'],['../classarm__compute_1_1_n_e_split.xhtml#a8b59056f103952a49529ce4b10181aaa',1,'arm_compute::NESplit::validate()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#abfa2d51d1ba66ef4836d509043f7c58c',1,'arm_compute::NEStackLayer::validate()'],['../classarm__compute_1_1_n_e_strided_slice.xhtml#a44bf94716d16ca80c68fed3f2b3498cd',1,'arm_compute::NEStridedSlice::validate()'],['../classarm__compute_1_1_n_e_tile.xhtml#a08a1fa223722d3c335af0810c89974e9',1,'arm_compute::NETile::validate()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a968b23a6ef327fcfb5b99d58e3fbe883',1,'arm_compute::NETranspose::validate()'],['../classarm__compute_1_1_n_e_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d',1,'arm_compute::NEUnstack::validate()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a976d7e038d2dc22457c006f6d7e08839',1,'arm_compute::NEUpsampleLayer::validate()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#af03a00ff6ac9807e1417ed25101e1102',1,'arm_compute::NEWidthConcatenateLayer::validate()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a1c5a3dc6ea10d1f68d76064b82b8b5c2',1,'arm_compute::NEWinogradConvolutionLayer::validate()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a8bab0d6a95bc446873e037fd5a616242',1,'arm_compute::NEYOLOLayer::validate()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#ab8b6b10969f8435d21a0fa6e46362d59',1,'arm_compute::test::CLSynthetizeFunction::validate()'],['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a3566e1a9ec7fedc6e4fc47fab7c18532',1,'arm_compute::utils::CommandLineParser::validate()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd3a8f060f8fcf2ab4ec7d9d14c1f30',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed61c5c2a9205b62faca59381ac185b1',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a091613692766d1e34ad31fe0f403a01b',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15ef6f9076815a5d1d9da7defac11fe1',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f',1,'arm_compute::test::validation::validate(dst.info() -&gt;valid_region(), dst_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14d61c73a88e02b1911b967640f8b383',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), src_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06c8638559b9de713abe0badcb413259',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), dst_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e4b6b68aa02e54d0cfa7925aacfeba0',1,'arm_compute::test::validation::validate(src.info() -&gt;padding(), width_padding, height_padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b3a3ff6a6f15d54e05a82f13dc727c2',1,'arm_compute::test::validation::validate(src.info() -&gt;valid_region(), src_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a379c037a43bfd25a8664a9650b93d56a',1,'arm_compute::test::validation::validate(weights.info() -&gt;valid_region(), weights_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25d6ff2730cac30b00fc8fe6c9028108',1,'arm_compute::test::validation::validate(bias.info() -&gt;valid_region(), bias_valid_region)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71a750ca3dc55154525208d7b89eabee',1,'arm_compute::test::validation::validate(ref_x.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24efb668576b0e7bb800273706fbead8',1,'arm_compute::test::validation::validate(ref_y.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad762b4729770120431a91330935e5bc8',1,'arm_compute::test::validation::validate(ref_src.info() -&gt;padding(), padding)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae24343908233fe7bc8a1e48aae13752e',1,'arm_compute::test::validation::validate(ref_src1.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb433a1df7761e76719d4c41ebbd783a',1,'arm_compute::test::validation::validate(ref_src2.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a209d0dce8e1dcc3cf9098f5649b5b2b0',1,'arm_compute::test::validation::validate(dst.info() -&gt;padding(), PaddingSize())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7730e17dc901bdffefcf45b08bab135f',1,'arm_compute::test::validation::validate(const arm_compute::ValidRegion &amp;region, const arm_compute::ValidRegion &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf9a1249c175fca84f5bd15907291305',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a988c4a67dfa987caea90f71a4ad3a8b5',1,'arm_compute::test::validation::validate(const arm_compute::PaddingSize &amp;padding, const arm_compute::PaddingSize &amp;width_reference, const arm_compute::PaddingSize &amp;height_reference)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e8ca0b3d47827b9574e21e9d73cab6a',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const void *reference_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47bc8966b6ed3446daaf27aa413047c1',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, BorderSize border_size, const BorderMode &amp;border_mode, const void *border_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c4e463dd04d06dc641fe48308e13334',1,'arm_compute::test::validation::validate(std::vector&lt; unsigned int &gt; classified_labels, std::vector&lt; unsigned int &gt; expected_labels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa24df7339d073ba83dae2de61cc80416',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a7133ce9111c2d17597730ae3629b87',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const ValidRegion &amp;valid_region, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98de28726e7f2151e37de88468d7c8ae',1,'arm_compute::test::validation::validate(const IAccessor &amp;tensor, const SimpleTensor&lt; T &gt; &amp;reference, const SimpleTensor&lt; T &gt; &amp;valid_mask, U tolerance_value=U(), float tolerance_number=0.f, float absolute_tolerance_value=0.f)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c19347e16069660a1a3ae62e1d607ee',1,'arm_compute::test::validation::validate(T target, T reference, U tolerance=AbsoluteTolerance&lt; T &gt;())']]],
   ['validate_5fall_5fnodes',['validate_all_nodes',['../namespacearm__compute_1_1graph_1_1detail.xhtml#aa1d326a80e16fe0d4034637672d3b122',1,'arm_compute::graph::detail']]],
   ['validate_5fbounding_5fbox_5ftransform_5flayer',['validate_bounding_box_transform_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a94ce5eb74599047cd5f8b735e2464d12',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fchannel_5fshuffle_5flayer',['validate_channel_shuffle_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fconfiguration',['validate_configuration',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4773668d05f0071ef209f3b19e2938af',1,'arm_compute::test::validation::validate_configuration(const CLTensor &amp;src, TensorShape shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b99c68730dc9d3b6f5d856864c1888a',1,'arm_compute::test::validation::validate_configuration(src, shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8115bb60734e2ad3cc20b8f73b74cd8',1,'arm_compute::test::validation::validate_configuration(const Tensor &amp;src, TensorShape shape)']]],
   ['validate_5fconvolution_5flayer',['validate_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fdepthwise_5fconvolution_5flayer',['validate_depthwise_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1634943db602da2c457279f427ab9538',1,'arm_compute::graph::backends::detail']]],
+  ['validate_5fdetection_5foutput_5flayer',['validate_detection_output_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fdetection_5fwindows',['validate_detection_windows',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7eea716df6e4c1348c4bbe4438c347fe',1,'arm_compute::test::validation']]],
   ['validate_5fgenerate_5fproposals_5flayer',['validate_generate_proposals_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a',1,'arm_compute::graph::backends::detail']]],
   ['validate_5fkeypoints',['validate_keypoints',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f99d2d87d24921c41c66388243f27c1',1,'arm_compute::test::validation']]],
@@ -28,13 +30,22 @@
   ['validationinputaccessor',['ValidationInputAccessor',['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#a458082188f9eec9fdf459f508d64d9be',1,'arm_compute::graph_utils::ValidationInputAccessor']]],
   ['validationoutputaccessor',['ValidationOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ac3ae33bed176ca84786a8c910c3072c9',1,'arm_compute::graph_utils::ValidationOutputAccessor']]],
   ['validregion',['ValidRegion',['../structarm__compute_1_1_valid_region.xhtml#a77ef520daabfab023d01732f24101c6e',1,'arm_compute::ValidRegion::ValidRegion()'],['../structarm__compute_1_1_valid_region.xhtml#af431f8fe2fbb6f0032006ddf53e6b03b',1,'arm_compute::ValidRegion::ValidRegion(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#a0147a2fe0634bb9caa4454f60525592e',1,'arm_compute::ValidRegion::ValidRegion(ValidRegion &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aafe658c46436747f101e5aa9f8cd28b2',1,'arm_compute::ValidRegion::ValidRegion(const Coordinates &amp;an_anchor, const TensorShape &amp;a_shape)'],['../structarm__compute_1_1_valid_region.xhtml#a1de12d43d932fc3b1e05ff15e85212bf',1,'arm_compute::ValidRegion::ValidRegion(const Coordinates &amp;an_anchor, const TensorShape &amp;a_shape, size_t num_dimensions)']]],
-  ['value',['value',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#af2a8c2db065f7afb4dbaa382d2ecd5be',1,'arm_compute::test::framework::Measurement::value()'],['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::EnumListOption::value()'],['../classarm__compute_1_1utils_1_1_enum_option.xhtml#a77c7d528ac063d870b8c8426ec81c1c3',1,'arm_compute::utils::EnumOption::value()'],['../classarm__compute_1_1utils_1_1_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::ListOption::value()'],['../classarm__compute_1_1utils_1_1_simple_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::SimpleOption::value()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab037372802cee601adeb0ee97dc0c0f3',1,'arm_compute::test::framework::Measurement::Value::Value()']]],
+  ['value',['Value',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab037372802cee601adeb0ee97dc0c0f3',1,'arm_compute::test::framework::Measurement::Value::Value()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#af2a8c2db065f7afb4dbaa382d2ecd5be',1,'arm_compute::test::framework::Measurement::value()'],['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::EnumListOption::value()'],['../classarm__compute_1_1utils_1_1_enum_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::EnumOption::value()'],['../classarm__compute_1_1utils_1_1_list_option.xhtml#a0aeb5d3910631c64f1370af7b0f19c26',1,'arm_compute::utils::ListOption::value()'],['../classarm__compute_1_1utils_1_1_simple_option.xhtml#ab5d906b55180c260032ce43d6c5d4d06',1,'arm_compute::utils::SimpleOption::value()']]],
   ['values_5fper_5froi',['values_per_roi',['../classarm__compute_1_1_generate_proposals_info.xhtml#a00870168b3c59d0a29a7a66f935c1880',1,'arm_compute::GenerateProposalsInfo::values_per_roi()'],['../classarm__compute_1_1_compute_anchors_info.xhtml#a00870168b3c59d0a29a7a66f935c1880',1,'arm_compute::ComputeAnchorsInfo::values_per_roi()']]],
   ['vand',['vand',['../namespacearm__compute_1_1wrapper.xhtml#ac071623f14587f7cc6c4aea757d4378b',1,'arm_compute::wrapper::vand(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace696b022d783c4a3e84f6aa23b9ec72',1,'arm_compute::wrapper::vand(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a364a30327f38b955216af9b5ac4367db',1,'arm_compute::wrapper::vand(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5bfe76fc6cc188b7e32c6944772f7125',1,'arm_compute::wrapper::vand(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a17104b7f34998fcd36ad45f0594678ab',1,'arm_compute::wrapper::vand(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa12949a2a2d6873da017181f7941232f',1,'arm_compute::wrapper::vand(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a88f7ebc42b23820a9ba0b8ac05d70d37',1,'arm_compute::wrapper::vand(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2865027ccc7e291a55d03e18a80f2341',1,'arm_compute::wrapper::vand(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a42a53b1fb8523ad84bb686cf83b2eeff',1,'arm_compute::wrapper::vand(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a09aa0f0336703a4ac289525882f81bc5',1,'arm_compute::wrapper::vand(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac36121fb64569e4d6b12eea9473e41a3',1,'arm_compute::wrapper::vand(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9601217868077e3ecf9c2dab5e8d7da2',1,'arm_compute::wrapper::vand(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a770a458f188ed6e66be390082eca8aed',1,'arm_compute::wrapper::vand(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1f5ad185828729587ebd0356cd0ca275',1,'arm_compute::wrapper::vand(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2913668b4791bdc393393ca60a078a7f',1,'arm_compute::wrapper::vand(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae36ea08250992deca7c68f523fb95842',1,'arm_compute::wrapper::vand(const int64x2_t &amp;a, const int64x2_t &amp;b)']]],
+  ['variance_5fencoded_5fin_5ftarget',['variance_encoded_in_target',['../classarm__compute_1_1_detection_output_layer_info.xhtml#aa5081eb6d3f7bf20f32573af8a60f1f9',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['variances',['variances',['../classarm__compute_1_1_prior_box_layer_info.xhtml#afd15b7132dbacc847969f91c72633e7d',1,'arm_compute::PriorBoxLayerInfo']]],
+  ['vbsl',['vbsl',['../namespacearm__compute_1_1wrapper.xhtml#a8e5924674eee0f441d54eb75d656700f',1,'arm_compute::wrapper::vbsl(const uint8x8_t &amp;a, const uint8x8_t &amp;b, const uint8x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a1d67e14ffa7491f6e7855ca784f8bc1c',1,'arm_compute::wrapper::vbsl(const uint8x8_t &amp;a, const int8x8_t &amp;b, const int8x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2a026522ed9848e50efc0d0c1c983d2',1,'arm_compute::wrapper::vbsl(const uint16x4_t &amp;a, const uint16x4_t &amp;b, const uint16x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a8d3343de117c4813f5d4abb2e3e3c03e',1,'arm_compute::wrapper::vbsl(const uint16x4_t &amp;a, const int16x4_t &amp;b, const int16x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#aff81fbbae785bed39470fd5b7bd84f74',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const uint32x2_t &amp;b, const uint32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a4f0ea6d9c08f2754df5dfd3b1a2cadfc',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const int32x2_t &amp;b, const int32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a6e9ab5ba6651382da60a866eb25c2a21',1,'arm_compute::wrapper::vbsl(const uint32x2_t &amp;a, const float32x2_t &amp;b, const float32x2_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a47c89dc854078a34bda04d7b23db1f3c',1,'arm_compute::wrapper::vbsl(const uint8x16_t &amp;a, const uint8x16_t &amp;b, const uint8x16_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a944da63e855c56b8b7e22df3c253f674',1,'arm_compute::wrapper::vbsl(const uint8x16_t &amp;a, const int8x16_t &amp;b, const int8x16_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ae31efd18eb1c63c27a020ffcf0b74b53',1,'arm_compute::wrapper::vbsl(const uint16x8_t &amp;a, const uint16x8_t &amp;b, const uint16x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a5ebe0d613e398016f0314e60a2ff39bb',1,'arm_compute::wrapper::vbsl(const uint16x8_t &amp;a, const int16x8_t &amp;b, const int16x8_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#ab65be4b474b777b1bd7c384af4113f54',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const uint32x4_t &amp;b, const uint32x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a7c7d27ea76fe8e31e3e0b29f8b3be4ac',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const int32x4_t &amp;b, const int32x4_t &amp;c)'],['../namespacearm__compute_1_1wrapper.xhtml#a534d9f21641f05eed5e896ad40e01e19',1,'arm_compute::wrapper::vbsl(const uint32x4_t &amp;a, const float32x4_t &amp;b, const float32x4_t &amp;c)']]],
+  ['vceq',['vceq',['../namespacearm__compute_1_1wrapper.xhtml#aa7ccd655f600847f9d471604ed47e810',1,'arm_compute::wrapper::vceq(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa7eecdf642e1d3ce41a63c170d5a641a',1,'arm_compute::wrapper::vceq(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a90c57b01e394acf5a813e3535070c724',1,'arm_compute::wrapper::vceq(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a6fea33664b226a254510c31de8b42787',1,'arm_compute::wrapper::vceq(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac71b5829594d3bcaa593293e0e64fd8f',1,'arm_compute::wrapper::vceq(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab69f1749451b264048d3fb30e6fdf562',1,'arm_compute::wrapper::vceq(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aea0132b50c5f202b9d5da3c2da3e04c1',1,'arm_compute::wrapper::vceq(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9c4302ad9250f68a9ad28658a23232b6',1,'arm_compute::wrapper::vceq(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3097ab044eb611fd19da4376fb3eabff',1,'arm_compute::wrapper::vceq(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a136b782f75e2fa44ab5aad96d7e05e86',1,'arm_compute::wrapper::vceq(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9e2ed0c96cb4d10bbaf41d4e3e14cdd3',1,'arm_compute::wrapper::vceq(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad44d06b749b9821ef909a498ee939416',1,'arm_compute::wrapper::vceq(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae4739dd4ecb08dc6585170498d31bb40',1,'arm_compute::wrapper::vceq(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a84c7602398a05f06678734d051d4c0a8',1,'arm_compute::wrapper::vceq(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vcge',['vcge',['../namespacearm__compute_1_1wrapper.xhtml#a1f777df8db31568a3436995df958714c',1,'arm_compute::wrapper::vcge(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8495f1866e7b0cec7c408608e1e45a7b',1,'arm_compute::wrapper::vcge(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f97e216d76733d97b278af3234ff077',1,'arm_compute::wrapper::vcge(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adc93fc63908d04bf8bfb29a3206b6526',1,'arm_compute::wrapper::vcge(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abc9261bb4aa1452020b79ce918c07369',1,'arm_compute::wrapper::vcge(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aed06c8595807184acaeac3075dc9495a',1,'arm_compute::wrapper::vcge(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac447f541ba304b3dd139c59ab6fbf895',1,'arm_compute::wrapper::vcge(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab249f24fb4bdb558c0fe7b05059489d4',1,'arm_compute::wrapper::vcge(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aeb188018f0f750e7b0146cf0e4e8f889',1,'arm_compute::wrapper::vcge(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5f2d1df8cd90eb7c2cd18b8bcddb0f2a',1,'arm_compute::wrapper::vcge(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aba7f10b6a312bc77326c8c179d54fbba',1,'arm_compute::wrapper::vcge(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a773ec4965160a27a9ca5aca6dd9d309b',1,'arm_compute::wrapper::vcge(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7288c2585a571dc1c76facf725f1cc96',1,'arm_compute::wrapper::vcge(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a823281ae3735f04eed2a82e9ec87acc3',1,'arm_compute::wrapper::vcge(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vcgt',['vcgt',['../namespacearm__compute_1_1wrapper.xhtml#a7eedba29396b0db728bffdf5f202d85c',1,'arm_compute::wrapper::vcgt(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab4eee4b00c664f1efba03321b2d4c947',1,'arm_compute::wrapper::vcgt(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5b659245eca180dcfcc57e75438a11d9',1,'arm_compute::wrapper::vcgt(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a96e5521a7f298420945cce5c15f41e08',1,'arm_compute::wrapper::vcgt(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a812e0b95bd587b9a75fb9b78a925ebd8',1,'arm_compute::wrapper::vcgt(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8a2952af3b1ef3386c8b6a01c2533bfe',1,'arm_compute::wrapper::vcgt(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8209ea6835bd064d2465f6011478aa25',1,'arm_compute::wrapper::vcgt(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afe2118060eaf61848b82bbb7bc818c47',1,'arm_compute::wrapper::vcgt(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab91bb6fea68f22bbfb9b6104674c682a',1,'arm_compute::wrapper::vcgt(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ab6755d5dc8868470a81ed1ae10ec56',1,'arm_compute::wrapper::vcgt(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af273d8dbdf46749c29ec45f1e17a8311',1,'arm_compute::wrapper::vcgt(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a828dc9fb08c9f630de36b40f2d46f603',1,'arm_compute::wrapper::vcgt(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0e6106b8bb67299f1a8e89111d12de59',1,'arm_compute::wrapper::vcgt(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1386cfcfc641b29ab70221552e99e36d',1,'arm_compute::wrapper::vcgt(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vclt',['vclt',['../namespacearm__compute_1_1wrapper.xhtml#a0d7eabdb6566ec547d8ce0a42ab0efd8',1,'arm_compute::wrapper::vclt(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a59bcab004f65b3b616eabccd8779cf4f',1,'arm_compute::wrapper::vclt(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac12bc897546e007e7fbc5e4ab26afd4a',1,'arm_compute::wrapper::vclt(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a036831b7f3e40812c7b93c8f9d036be0',1,'arm_compute::wrapper::vclt(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a77b8ad7b953f4e0a390cd7dc508b1133',1,'arm_compute::wrapper::vclt(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad4c6df5eb5a837e07ece2c67ee0d252e',1,'arm_compute::wrapper::vclt(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2704ccccdee6bc4868e6397c4913cf8a',1,'arm_compute::wrapper::vclt(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a28724874f41631f5dacaacc8fc145e66',1,'arm_compute::wrapper::vclt(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ad3b023704fa8d76dc390c73bb895ee',1,'arm_compute::wrapper::vclt(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8955d9746e67e644d21715b5a42ca3d2',1,'arm_compute::wrapper::vclt(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a29668afee86d27397debe995348257a0',1,'arm_compute::wrapper::vclt(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a996d2f54a37f806fe7009425d36a9242',1,'arm_compute::wrapper::vclt(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ac0840b4d3059d922706c1dab27ae08',1,'arm_compute::wrapper::vclt(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2b9e94da3ecd5b5999c8f8f165a42e8a',1,'arm_compute::wrapper::vclt(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
+  ['vcombine',['vcombine',['../namespacearm__compute_1_1wrapper.xhtml#a1598e7eb12a58fc53559332cd0c3ab6f',1,'arm_compute::wrapper::vcombine(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac0a3fb58591449faff844901e8191027',1,'arm_compute::wrapper::vcombine(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad79f020ea8e8362b8e10a887fe9c17a8',1,'arm_compute::wrapper::vcombine(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4ecc5a0a28fc965a30a32e3374a67380',1,'arm_compute::wrapper::vcombine(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0a1bcc88546eed0bce0a3c3bc741131b',1,'arm_compute::wrapper::vcombine(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad7c5d0c64de20d3eeb2328e0151195f6',1,'arm_compute::wrapper::vcombine(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a344cb8b780ba6f78a5a785786cbcaa43',1,'arm_compute::wrapper::vcombine(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
   ['vcvt',['vcvt',['../namespacearm__compute.xhtml#a6cb464349a8f184ffb8eded9ae9e5925',1,'arm_compute']]],
   ['vcvt_3c_20float32x4x4_5ft_20_3e',['vcvt&lt; float32x4x4_t &gt;',['../namespacearm__compute.xhtml#a146b84422a0eaf6c66ba8156425b5bdf',1,'arm_compute']]],
   ['vcvt_3c_20uint8x16_5ft_20_3e',['vcvt&lt; uint8x16_t &gt;',['../namespacearm__compute.xhtml#ab6bc00d6c4503a0bc303dd363e021476',1,'arm_compute']]],
+  ['vdequantize',['vdequantize',['../namespacearm__compute.xhtml#a04ae4ae815c47d443852428a0528a7d2',1,'arm_compute']]],
+  ['vdiv',['vdiv',['../namespacearm__compute_1_1wrapper.xhtml#a533635332a3a17c16d8f21c77e15e907',1,'arm_compute::wrapper::vdiv(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a93d09fb9635ef6275df8b1ee334d62b4',1,'arm_compute::wrapper::vdiv(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
   ['vdup_5fn',['vdup_n',['../namespacearm__compute_1_1wrapper.xhtml#a39e87435be178fba49b76f49426ef873',1,'arm_compute::wrapper::vdup_n(uint8_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ae96f63b38824187da108a09448e7b7f1',1,'arm_compute::wrapper::vdup_n(int8_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a2ddcfbfe730c340aec577f57ccf389da',1,'arm_compute::wrapper::vdup_n(uint16_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#afa30db793e7c1fd082609ab7a6d5f165',1,'arm_compute::wrapper::vdup_n(int16_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ab7a046ee9be293d9b823ddaed7138ea1',1,'arm_compute::wrapper::vdup_n(uint32_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a3fb0be6f60ff8e0f3df96993f7227aac',1,'arm_compute::wrapper::vdup_n(int32_t value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#aae63f6b8b4a2ec47485921709b85563f',1,'arm_compute::wrapper::vdup_n(float value, traits::vector_64_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ab38dbdbc1cddb9806cd5eb7c8e5369bf',1,'arm_compute::wrapper::vdup_n(uint8_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a0140b10717610c7716b37e0706bef65c',1,'arm_compute::wrapper::vdup_n(int8_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#ac31dce4d78e068f2d10c266685de46cc',1,'arm_compute::wrapper::vdup_n(uint16_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a138a0ca63e4bfb6e81326b7f29f9f26f',1,'arm_compute::wrapper::vdup_n(int16_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a5cab0757ae9983d6f81120e1eeb0d495',1,'arm_compute::wrapper::vdup_n(uint32_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a1e4d95343b6703aa6502310fc041085d',1,'arm_compute::wrapper::vdup_n(int32_t value, traits::vector_128_tag)'],['../namespacearm__compute_1_1wrapper.xhtml#a1d78cef5ffacdd18e233f2911fcaf3cc',1,'arm_compute::wrapper::vdup_n(float value, traits::vector_128_tag)'],['../namespacearm__compute.xhtml#a2603e5f72e3fa052025c189c1a6647ce',1,'arm_compute::vdup_n()']]],
   ['vdup_5fn_3c_20float32x4x4_5ft_20_3e',['vdup_n&lt; float32x4x4_t &gt;',['../namespacearm__compute.xhtml#aeabe5dd1c5751f380322a841d7ad8d7a',1,'arm_compute']]],
   ['vdup_5fn_3c_20vec_5f16_5fbyte_5ft_3c_20float_20_3e_20_3e',['vdup_n&lt; vec_16_byte_t&lt; float &gt; &gt;',['../namespacearm__compute.xhtml#ace69f5de3783f9cd924dac392710facf',1,'arm_compute']]],
@@ -63,15 +74,15 @@
   ['vget_5flane',['vget_lane',['../namespacearm__compute.xhtml#a40552ea65ee3fc6d7fa7f1fb17baebe7',1,'arm_compute::vget_lane(vec_8_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#a5229f4c7a2c8d07ebc247c3e5075af2b',1,'arm_compute::vget_lane(vec_16_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#a2cb9483082ea29427722db15d23ec130',1,'arm_compute::vget_lane(vec_8_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#a46b08aeab78badc7365668e0051e7fac',1,'arm_compute::vget_lane(vec_16_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#aaa7aea48ed8a5c267d4631ad6884e0bd',1,'arm_compute::vget_lane(vec_8_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#ab2aef7b4b81a6108c8d7a8f782340850',1,'arm_compute::vget_lane(vec_16_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a21a10c0d7629ac794f59a6e06dad8b7c',1,'arm_compute::vget_lane(vec_8_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#aab831e66636598a49c321c248da55108',1,'arm_compute::vget_lane(vec_16_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#a1050dd97652f516c036f54173d3cce10',1,'arm_compute::vget_lane(vec_8_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#a6e766d98a0e130be624d6dee74c8fb29',1,'arm_compute::vget_lane(vec_16_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#adc187f0eff944013383bdc28e8d1e713',1,'arm_compute::vget_lane(vec_8_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a61f87c089f50e7016ac74d79bbc417eb',1,'arm_compute::vget_lane(vec_16_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a696409f1f3c572c8a899605e36b87e9a',1,'arm_compute::vget_lane(vec_8_byte_t&lt; float &gt; vec)'],['../namespacearm__compute.xhtml#a2b122d56b7bf307cf06ec05b4bdeea63',1,'arm_compute::vget_lane(vec_16_byte_t&lt; float &gt; vec)'],['../namespacearm__compute.xhtml#a45617be0c289f11c60f659f3123fb210',1,'arm_compute::vget_lane(float32x4x4_t vec)']]],
   ['vget_5flow',['vget_low',['../namespacearm__compute.xhtml#a3bb60064e505cfd3a0d43528a3c1845d',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#a2a0a49e26931849079897f0a225589cb',1,'arm_compute::vget_low(vec_16_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#a5b825f82ef9a09db968b003310b44030',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a264ecd01ca0763d79aa4ad5515ce7b65',1,'arm_compute::vget_low(vec_16_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#a0477c495757cd6c2bdf6f151aa26a542',1,'arm_compute::vget_low(vec_16_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#a4624ac629ac1199b9482f01334fe93a8',1,'arm_compute::vget_low(vec_16_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#ae83ce5db69a7a14f5c0ee9d9326e1a40',1,'arm_compute::vget_low(vec_16_byte_t&lt; float &gt; vec)']]],
   ['vgethigh',['vgethigh',['../namespacearm__compute_1_1wrapper.xhtml#a95ee388aa7c5bccab918235dc538a6b3',1,'arm_compute::wrapper::vgethigh(const uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ac9c024a301326584e832c4a48504b8bf',1,'arm_compute::wrapper::vgethigh(const int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afbcf39b840489f643bc83778d43f6335',1,'arm_compute::wrapper::vgethigh(const uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a4bb43c0a3ad727d1ee1af90103a8829b',1,'arm_compute::wrapper::vgethigh(const int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2f8b38aa056a162e85852f0c6761289',1,'arm_compute::wrapper::vgethigh(const uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afd21e55cfb947d64570a61c1faf5ecc6',1,'arm_compute::wrapper::vgethigh(const int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a141bed2170a24f4fa5ec39a7c19d5d61',1,'arm_compute::wrapper::vgethigh(const float32x4_t val)']]],
-  ['vgetlane',['vgetlane',['../namespacearm__compute_1_1wrapper.xhtml#a7942760521e166be06dd2fb44a7dcf25',1,'arm_compute::wrapper::vgetlane(const uint8x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a6d21ff1bd5ffea4299349bce82002aa2',1,'arm_compute::wrapper::vgetlane(const int8x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ac09ddece1e3391bb56fb3d3d0131ecdf',1,'arm_compute::wrapper::vgetlane(const uint16x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#afdb5b5bd6639c3f4ae13eda87f565228',1,'arm_compute::wrapper::vgetlane(const int16x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ae167e6fe177fb9816f466ad9c422ff8a',1,'arm_compute::wrapper::vgetlane(const uint32x2_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#add649a246ec5b87317cbc55d6b870ab7',1,'arm_compute::wrapper::vgetlane(const int32x2_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#af05d7ba1b1ed3b05a92144feb0616611',1,'arm_compute::wrapper::vgetlane(const float32x2_t vector, const int lane)']]],
+  ['vgetlane',['vgetlane',['../namespacearm__compute_1_1wrapper.xhtml#aa16ace001ab8287faa46d6962f369219',1,'arm_compute::wrapper::vgetlane(const uint8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a58856d5e33204b7d362cea988ba3f608',1,'arm_compute::wrapper::vgetlane(const int8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad6a155bca7827cfe94fd04a0d3fa0f36',1,'arm_compute::wrapper::vgetlane(const uint16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a58f917e11f37590fcfa3391e1e1e06ee',1,'arm_compute::wrapper::vgetlane(const int16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ab9f16a1518f6a2a4bad0532bf6080a1c',1,'arm_compute::wrapper::vgetlane(const uint32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a948fe39abb6ce89ffb87de8d332c87aa',1,'arm_compute::wrapper::vgetlane(const int32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f43a3bdf084f33d306eb6e050a682be',1,'arm_compute::wrapper::vgetlane(const float32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#affd20ad81488509d2c826f989d4e69b8',1,'arm_compute::wrapper::vgetlane(const uint8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0bd3e6cd567d645ad6a1788764ccaa9d',1,'arm_compute::wrapper::vgetlane(const int8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a865f7d46d623ca9f2a56bc69c25fb319',1,'arm_compute::wrapper::vgetlane(const uint16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a5abca006a0d9d71f42c12425c6cb9e9b',1,'arm_compute::wrapper::vgetlane(const int16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a903fd5324e155c0f864cb244a3eff50d',1,'arm_compute::wrapper::vgetlane(const uint32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a8f67032361df236ca59f9bc806589971',1,'arm_compute::wrapper::vgetlane(const int32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a66b37188df7f842a57621e343dfe1129',1,'arm_compute::wrapper::vgetlane(const float32x4_t vector, const unsigned int lane)']]],
   ['vgetlow',['vgetlow',['../namespacearm__compute_1_1wrapper.xhtml#a2902775707bc7bf7d6da1bda1cc15783',1,'arm_compute::wrapper::vgetlow(const uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a6b68d30ce46c4c3194066823acacd442',1,'arm_compute::wrapper::vgetlow(const int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ac9acd645854ecc2a492de10a5999034d',1,'arm_compute::wrapper::vgetlow(const uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#afd2ae064582b5d27d7f3df420fef03eb',1,'arm_compute::wrapper::vgetlow(const int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a274a067e78d261385119acb19ebc7053',1,'arm_compute::wrapper::vgetlow(const uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a6a958c1d3f88b393fc31f68d19f1a718',1,'arm_compute::wrapper::vgetlow(const int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a745d994b7c62f971cd7023839b784ff2',1,'arm_compute::wrapper::vgetlow(const float32x4_t val)']]],
-  ['vgetqlane',['vgetqlane',['../namespacearm__compute_1_1wrapper.xhtml#afd38fe23c36b3beae2328e48a52201f4',1,'arm_compute::wrapper::vgetqlane(const uint8x16_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a1bd18d87a40b79527b49347f35d2c9b5',1,'arm_compute::wrapper::vgetqlane(const int8x16_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a9dab805d3cfaef1a075d41f47fc3a6bb',1,'arm_compute::wrapper::vgetqlane(const uint16x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#acd4dd84d48c63324d7ff91499b2ace33',1,'arm_compute::wrapper::vgetqlane(const int16x8_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad1c1c26eb0ae665f630b89aa4b36b65a',1,'arm_compute::wrapper::vgetqlane(const uint32x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aab7e595808ac79d53ecf90da0de5dd31',1,'arm_compute::wrapper::vgetqlane(const int32x4_t vector, const int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#af5b5e943c70b14264adc2d023f3463eb',1,'arm_compute::wrapper::vgetqlane(const float32x4_t vector, const int lane)']]],
   ['vinv',['vinv',['../namespacearm__compute_1_1wrapper.xhtml#a5ac8135a2c0a60f10448be0057543ed7',1,'arm_compute::wrapper::vinv(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9fab00cf10194f860fbe0facb245df77',1,'arm_compute::wrapper::vinv(const float32x4_t &amp;a)']]],
   ['vinv_5ff32',['vinv_f32',['../namespacearm__compute.xhtml#acc6fd1bcd12ef1141e15401a04d31187',1,'arm_compute']]],
   ['vinvq_5ff32',['vinvq_f32',['../namespacearm__compute.xhtml#a2e0f2412b4d1302272d1aeb85d21ab25',1,'arm_compute']]],
+  ['vinvsqrt',['vinvsqrt',['../namespacearm__compute_1_1wrapper.xhtml#a569988c8e1a2619532b8f4d0394d5d79',1,'arm_compute::wrapper::vinvsqrt(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aca22c6207d1ef0aa5ad1ff392ce56917',1,'arm_compute::wrapper::vinvsqrt(const float32x4_t &amp;a)']]],
   ['vinvsqrt_5ff32',['vinvsqrt_f32',['../namespacearm__compute.xhtml#afc415e7fc5e633a0b85b08b2bba5b5cf',1,'arm_compute']]],
   ['vinvsqrtq_5ff32',['vinvsqrtq_f32',['../namespacearm__compute.xhtml#ab8970d7aed07d8649f5e3088455948b8',1,'arm_compute']]],
-  ['visit',['visit',['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0',1,'arm_compute::graph::INodeVisitor::visit(INode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0a1deb26be8ff3f1282f6cbb84a134db',1,'arm_compute::graph::INodeVisitor::visit(ActivationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a367df83f95d6bd0092f21ea26c11afca',1,'arm_compute::graph::INodeVisitor::visit(BatchNormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a77b8f48b045bafdb2f73855edf5fe163',1,'arm_compute::graph::INodeVisitor::visit(ConcatenateLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a9dca296fbf52dcc2c58a0664998e68de',1,'arm_compute::graph::INodeVisitor::visit(ConstNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a1621b973252298e5cefe802320955c40',1,'arm_compute::graph::INodeVisitor::visit(ConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6b39c0c7a4b6470717ce846e797a19d9',1,'arm_compute::graph::INodeVisitor::visit(DepthwiseConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3a831d8fbe701e51eba638465496244f',1,'arm_compute::graph::INodeVisitor::visit(EltwiseLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ae090e4537101ef27e04ff80b0e165939',1,'arm_compute::graph::INodeVisitor::visit(FlattenLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af16210fc560909e8c7b27e3f20f8daa6',1,'arm_compute::graph::INodeVisitor::visit(FullyConnectedLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ad1265b49ac3e299a4025cd29987476d3',1,'arm_compute::graph::INodeVisitor::visit(InputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a698f59bea216132157f6fb4469e926ba',1,'arm_compute::graph::INodeVisitor::visit(NormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ab87ed681a6ea37686aec7cd27b887527',1,'arm_compute::graph::INodeVisitor::visit(OutputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af394f8b2857e0272182ba95275cc8994',1,'arm_compute::graph::INodeVisitor::visit(PermuteLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0f23f0b02ad93c75535890e51c0b3905',1,'arm_compute::graph::INodeVisitor::visit(PoolingLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6a7d79aed59ab72f3cedcfabf1f7884b',1,'arm_compute::graph::INodeVisitor::visit(PriorBoxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3ab3d1a5fedf335e979356b1236af8a9',1,'arm_compute::graph::INodeVisitor::visit(ReshapeLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a35761aee870b4c937facc4c7f29fd39c',1,'arm_compute::graph::INodeVisitor::visit(SoftmaxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a879921d1e54b9711d71a8d2938516d11',1,'arm_compute::graph::INodeVisitor::visit(SplitLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a758cad84d59383224e908a0448c0e400',1,'arm_compute::graph::DotGraphVisitor::visit(ActivationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae6a61733b0daa30060b2d643a59882f9',1,'arm_compute::graph::DotGraphVisitor::visit(BatchNormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a5c10d2f76900c79976b527d3fd94492a',1,'arm_compute::graph::DotGraphVisitor::visit(ConcatenateLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9f9ccf9586c79250a79c85fb562cc2f5',1,'arm_compute::graph::DotGraphVisitor::visit(ConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aed4fc061f50c81e08328eeead9f6ca3c',1,'arm_compute::graph::DotGraphVisitor::visit(DepthwiseConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a1e48e66ec69d2ae228f73f6a7fc8aab6',1,'arm_compute::graph::DotGraphVisitor::visit(EltwiseLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aac5b1d0d521f3e24c6eb1b0ca3bc8016',1,'arm_compute::graph::DotGraphVisitor::visit(NormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9aa6abdf5e8362bc489cd55509f4f317',1,'arm_compute::graph::DotGraphVisitor::visit(PoolingLayerNode &amp;n) override']]],
+  ['visit',['visit',['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0',1,'arm_compute::graph::INodeVisitor::visit(INode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0a1deb26be8ff3f1282f6cbb84a134db',1,'arm_compute::graph::INodeVisitor::visit(ActivationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a367df83f95d6bd0092f21ea26c11afca',1,'arm_compute::graph::INodeVisitor::visit(BatchNormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a77b8f48b045bafdb2f73855edf5fe163',1,'arm_compute::graph::INodeVisitor::visit(ConcatenateLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a9dca296fbf52dcc2c58a0664998e68de',1,'arm_compute::graph::INodeVisitor::visit(ConstNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a1621b973252298e5cefe802320955c40',1,'arm_compute::graph::INodeVisitor::visit(ConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6b39c0c7a4b6470717ce846e797a19d9',1,'arm_compute::graph::INodeVisitor::visit(DepthwiseConvolutionLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a372f8556dcb66d7cda58db4a5f331e1f',1,'arm_compute::graph::INodeVisitor::visit(DetectionOutputLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3a831d8fbe701e51eba638465496244f',1,'arm_compute::graph::INodeVisitor::visit(EltwiseLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ae090e4537101ef27e04ff80b0e165939',1,'arm_compute::graph::INodeVisitor::visit(FlattenLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af16210fc560909e8c7b27e3f20f8daa6',1,'arm_compute::graph::INodeVisitor::visit(FullyConnectedLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ad1265b49ac3e299a4025cd29987476d3',1,'arm_compute::graph::INodeVisitor::visit(InputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a698f59bea216132157f6fb4469e926ba',1,'arm_compute::graph::INodeVisitor::visit(NormalizationLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#ab87ed681a6ea37686aec7cd27b887527',1,'arm_compute::graph::INodeVisitor::visit(OutputNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af394f8b2857e0272182ba95275cc8994',1,'arm_compute::graph::INodeVisitor::visit(PermuteLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a0f23f0b02ad93c75535890e51c0b3905',1,'arm_compute::graph::INodeVisitor::visit(PoolingLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a6a7d79aed59ab72f3cedcfabf1f7884b',1,'arm_compute::graph::INodeVisitor::visit(PriorBoxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a3ab3d1a5fedf335e979356b1236af8a9',1,'arm_compute::graph::INodeVisitor::visit(ReshapeLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a35761aee870b4c937facc4c7f29fd39c',1,'arm_compute::graph::INodeVisitor::visit(SoftmaxLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#a879921d1e54b9711d71a8d2938516d11',1,'arm_compute::graph::INodeVisitor::visit(SplitLayerNode &amp;n)=0'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a758cad84d59383224e908a0448c0e400',1,'arm_compute::graph::DotGraphVisitor::visit(ActivationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae6a61733b0daa30060b2d643a59882f9',1,'arm_compute::graph::DotGraphVisitor::visit(BatchNormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a5c10d2f76900c79976b527d3fd94492a',1,'arm_compute::graph::DotGraphVisitor::visit(ConcatenateLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9f9ccf9586c79250a79c85fb562cc2f5',1,'arm_compute::graph::DotGraphVisitor::visit(ConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aed4fc061f50c81e08328eeead9f6ca3c',1,'arm_compute::graph::DotGraphVisitor::visit(DepthwiseConvolutionLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a1e48e66ec69d2ae228f73f6a7fc8aab6',1,'arm_compute::graph::DotGraphVisitor::visit(EltwiseLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aac5b1d0d521f3e24c6eb1b0ca3bc8016',1,'arm_compute::graph::DotGraphVisitor::visit(NormalizationLayerNode &amp;n) override'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#a9aa6abdf5e8362bc489cd55509f4f317',1,'arm_compute::graph::DotGraphVisitor::visit(PoolingLayerNode &amp;n) override']]],
   ['vld',['vld',['../namespacearm__compute.xhtml#a85d0b4103385d996d4014691d2df0cf1',1,'arm_compute']]],
   ['vld_3c_20vec_5f16_5fbyte_5ft_3c_20float_20_3e_20_3e',['vld&lt; vec_16_byte_t&lt; float &gt; &gt;',['../namespacearm__compute.xhtml#aa8e2f6d1e361e3ac707595f1092b9103',1,'arm_compute']]],
   ['vld_3c_20vec_5f16_5fbyte_5ft_3c_20int16_5ft_20_3e_20_3e',['vld&lt; vec_16_byte_t&lt; int16_t &gt; &gt;',['../namespacearm__compute.xhtml#afd4981f6532c3a76716e3053d119e269',1,'arm_compute']]],
@@ -89,6 +100,7 @@
   ['vld_3c_20vec_5f8_5fbyte_5ft_3c_20uint8_5ft_20_3e_20_3e',['vld&lt; vec_8_byte_t&lt; uint8_t &gt; &gt;',['../namespacearm__compute.xhtml#abcfc5b1ed91557ba1b6edf2eae8533e7',1,'arm_compute']]],
   ['vload',['vload',['../namespacearm__compute_1_1wrapper.xhtml#ae1a6f6dde14fc3b0470cd0b08041ea9f',1,'arm_compute::wrapper::vload(const uint8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a87e91f0ee3ecea4a152f7db51451be32',1,'arm_compute::wrapper::vload(const int8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a554bda13751c47b20fb50246f99c601a',1,'arm_compute::wrapper::vload(const uint16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f1e8ab5f43a0bd6c5f12b8b8d2847ba',1,'arm_compute::wrapper::vload(const int16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a8c0ebb40f71661ff1396b6cab9c4d168',1,'arm_compute::wrapper::vload(const uint32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#ac315df13b4a8667730a6b3f0e774d66a',1,'arm_compute::wrapper::vload(const int32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a34d952ba7147dd78ef05879bfead78f5',1,'arm_compute::wrapper::vload(const float *ptr)']]],
   ['vloadq',['vloadq',['../namespacearm__compute_1_1wrapper.xhtml#a77f54eded7fef436d3a4f21ad5a00da6',1,'arm_compute::wrapper::vloadq(const uint8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#abdcc9846d94853fcbddb817879de1a34',1,'arm_compute::wrapper::vloadq(const int8_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#aace1a8b4ba67c412574180dd492e480b',1,'arm_compute::wrapper::vloadq(const uint16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#ae189872ea41a0947dd06f560aaca3fbb',1,'arm_compute::wrapper::vloadq(const int16_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a3ea1791012d4495628c21706e031a1eb',1,'arm_compute::wrapper::vloadq(const uint32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#a68cae5637e21bb5bc7563a5a89c27764',1,'arm_compute::wrapper::vloadq(const int32_t *ptr)'],['../namespacearm__compute_1_1wrapper.xhtml#adbe3f94e4c5f2a89be3c5fff7c87a1c2',1,'arm_compute::wrapper::vloadq(const float *ptr)']]],
+  ['vlog',['vlog',['../namespacearm__compute_1_1wrapper.xhtml#a23cc34c6476b7df556284c718c44e65c',1,'arm_compute::wrapper']]],
   ['vlogq_5ff32',['vlogq_f32',['../namespacearm__compute.xhtml#a1d090b80b655e7f8fd8977bb93808b04',1,'arm_compute']]],
   ['vmax',['vmax',['../namespacearm__compute_1_1wrapper.xhtml#a8d1d14000c959f1146a8a64e1dafae5f',1,'arm_compute::wrapper::vmax(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8f7649f2ee606cf842115341b7571aab',1,'arm_compute::wrapper::vmax(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adf5ce125cc789021a3d24f5707d711ec',1,'arm_compute::wrapper::vmax(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7afbbd0a831ad31c1a75e48b7d93324a',1,'arm_compute::wrapper::vmax(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a6b553699a7c1e9d9cb109a49ad3c5727',1,'arm_compute::wrapper::vmax(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5ca7ae9e30647c4643b1eb31f6517791',1,'arm_compute::wrapper::vmax(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae2e5d4eb72295c6454bbd4a051cb32d6',1,'arm_compute::wrapper::vmax(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a650538c522d3fd73c30e39cd170d02f9',1,'arm_compute::wrapper::vmax(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae30d6367801c1cba0e1e24b5e8a664b8',1,'arm_compute::wrapper::vmax(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afda337d70b92b77d4bb0601cd5673230',1,'arm_compute::wrapper::vmax(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae5e87ca36a247c28d04b4bf992f5dd9a',1,'arm_compute::wrapper::vmax(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3b5bb4293c6cf9406b10543f2af45cae',1,'arm_compute::wrapper::vmax(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5305cd57eda646455fa9e5638d828db9',1,'arm_compute::wrapper::vmax(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4a705920c79ac05f91ac30842627e97a',1,'arm_compute::wrapper::vmax(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#a1cb1c90103d83ca052919e98dbaac553',1,'arm_compute::vmax(vec_16_byte_t&lt; uint8_t &gt; a, vec_16_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a2ee044b41b71a344cad69a08aecb1d5f',1,'arm_compute::vmax(vec_16_byte_t&lt; int8_t &gt; a, vec_16_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a7c4bfe1c9c07571952a81783fa8540de',1,'arm_compute::vmax(vec_16_byte_t&lt; uint16_t &gt; a, vec_16_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#abe221c26fe4f91102c0f7b5e2336c070',1,'arm_compute::vmax(vec_16_byte_t&lt; int16_t &gt; a, vec_16_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#a1bb4dd507d55db5ae8fafab84d31b870',1,'arm_compute::vmax(vec_16_byte_t&lt; uint32_t &gt; a, vec_16_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#a4e2374d1a63f2e9433b7965eede927af',1,'arm_compute::vmax(vec_16_byte_t&lt; int32_t &gt; a, vec_16_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#a837afab6fd85e34f2bd6e267f4c9e849',1,'arm_compute::vmax(vec_16_byte_t&lt; float &gt; a, vec_16_byte_t&lt; float &gt; b)']]],
   ['vmax2q_5ff32',['vmax2q_f32',['../namespacearm__compute.xhtml#ace593813d742d127296b09fa8ab3f85e',1,'arm_compute']]],
@@ -99,15 +111,24 @@
   ['vmovn',['vmovn',['../namespacearm__compute_1_1wrapper.xhtml#aea0b656edc428c1f7702d86bbb97df6b',1,'arm_compute::wrapper::vmovn(const uint64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab31fa5f935432afeae5e4c873b6bb8fd',1,'arm_compute::wrapper::vmovn(const int64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a89a44d45022193bc148089fec401d437',1,'arm_compute::wrapper::vmovn(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ac9b48bf24969c71d62ab2837957a3b93',1,'arm_compute::wrapper::vmovn(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9fee192f80eebcf368ee4e662c455d7d',1,'arm_compute::wrapper::vmovn(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a36c832fbcec771dae0fe1b8b215399f2',1,'arm_compute::wrapper::vmovn(const int16x8_t &amp;a)']]],
   ['vmul',['vmul',['../namespacearm__compute_1_1wrapper.xhtml#a66c8dd218a4863a14fec363e3dd13dc4',1,'arm_compute::wrapper::vmul(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a66a7fd5e2104da748fdb7665e3505b3c',1,'arm_compute::wrapper::vmul(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1aefc54a525724581b1a09f3b9e33111',1,'arm_compute::wrapper::vmul(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a32c397e73d2083c8f48aaf0afcdd81c8',1,'arm_compute::wrapper::vmul(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa2579d7197d661c7e483c2b4079c5037',1,'arm_compute::wrapper::vmul(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace213c51916a0c2f979f3082663765e1',1,'arm_compute::wrapper::vmul(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa99c51650860bee18dc2a1c6259c661',1,'arm_compute::wrapper::vmul(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1e6e6496807b9c330c9a21749f442a6d',1,'arm_compute::wrapper::vmul(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a34bb12fc418530504162b300bf417ee9',1,'arm_compute::wrapper::vmul(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a4f2e93cec76891a55fde0d4ead3f7728',1,'arm_compute::wrapper::vmul(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f1fb2425af2afc3bcfb2ee0c8a68119',1,'arm_compute::wrapper::vmul(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af797877175d454cbaa6b25b19fb6c7e1',1,'arm_compute::wrapper::vmul(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aab8ce1a283f1649a3a7763c0600dd7f7',1,'arm_compute::wrapper::vmul(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a04525a80382277955944902464f660e4',1,'arm_compute::wrapper::vmul(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
   ['vmul_5fn',['vmul_n',['../namespacearm__compute.xhtml#a5dce3fda8114a32a2c8f1f517adca368',1,'arm_compute::vmul_n(vec_16_byte_t&lt; float &gt; vec, float val)'],['../namespacearm__compute.xhtml#abc9f4323a93d34d19bab7cc371649441',1,'arm_compute::vmul_n(float32x4x4_t vec, float val)']]],
-  ['vneg',['vneg',['../namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7',1,'arm_compute::wrapper::vneg(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6508f2e9aa4b8832aa4e05716a436f',1,'arm_compute::wrapper::vneg(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1fcdbb04887f4009d8eaf423260d862e',1,'arm_compute::wrapper::vneg(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f8675538052849d9a77195dcb2a0475',1,'arm_compute::wrapper::vneg(const float32x2_t &amp;a)']]],
-  ['vnegq',['vnegq',['../namespacearm__compute_1_1wrapper.xhtml#acfca5c0549569d0748bbc1bbabae8b5b',1,'arm_compute::wrapper::vnegq(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a42f50a3e82d32abc2786a355428ba7d5',1,'arm_compute::wrapper::vnegq(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaa09e8d6796678cced3dbc18dfe940a9',1,'arm_compute::wrapper::vnegq(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f567c83d21c9f879ee1e4c5deed598f',1,'arm_compute::wrapper::vnegq(const float32x4_t &amp;a)']]],
+  ['vneg',['vneg',['../namespacearm__compute_1_1wrapper.xhtml#aa24da6d1c1ce97217bab0291ce404fa7',1,'arm_compute::wrapper::vneg(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6508f2e9aa4b8832aa4e05716a436f',1,'arm_compute::wrapper::vneg(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1fcdbb04887f4009d8eaf423260d862e',1,'arm_compute::wrapper::vneg(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f8675538052849d9a77195dcb2a0475',1,'arm_compute::wrapper::vneg(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab4a2420279b0278307ecbb5f37591bce',1,'arm_compute::wrapper::vneg(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a28971f157797cbfb899157085c6c56cf',1,'arm_compute::wrapper::vneg(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ac4b0bebb0fa5dbbe06e2480f87a1ae1d',1,'arm_compute::wrapper::vneg(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1bd7d04c076d2e2dce7c70df98916539',1,'arm_compute::wrapper::vneg(const float32x4_t &amp;a)']]],
+  ['vnot',['vnot',['../namespacearm__compute_1_1wrapper.xhtml#aed661d4bd9a14812355576773982eb7a',1,'arm_compute::wrapper::vnot(const uint8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#afc1b2a3caf3433ec566f47ce39de7e69',1,'arm_compute::wrapper::vnot(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a406944d21fe0860048958cb4a5802752',1,'arm_compute::wrapper::vnot(const uint16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#acd57145d7cad49cf89cd79633bcd2340',1,'arm_compute::wrapper::vnot(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab8bfb7550a2cda0cacd83945b9222d9e',1,'arm_compute::wrapper::vnot(const uint32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a76e5ae3c725c70789557192e3546df27',1,'arm_compute::wrapper::vnot(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aa39a80bee981969fc846d403028b5f3f',1,'arm_compute::wrapper::vnot(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a278a9fc4819273bf361fa978ebe448f8',1,'arm_compute::wrapper::vnot(const uint8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a0df250cea56a8740e8a975eefa787ba2',1,'arm_compute::wrapper::vnot(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3d7b69561da7e6895eabeeab862fe28b',1,'arm_compute::wrapper::vnot(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9725668a8840d7402f0ab6ba20610fc4',1,'arm_compute::wrapper::vnot(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a18f2b6ebfa0c3d0cc784351c199c8fae',1,'arm_compute::wrapper::vnot(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9a6c9a5080b8ae0edd2cec9feb92a089',1,'arm_compute::wrapper::vnot(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a75153e22804bc49ce6c34b0116e584ff',1,'arm_compute::wrapper::vnot(const float32x4_t &amp;a)']]],
+  ['vorr',['vorr',['../namespacearm__compute_1_1wrapper.xhtml#afd68f4669bdf3bfe0ec26c6a1825e248',1,'arm_compute::wrapper::vorr(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9e4d79fc5d8ce9434a8ee55a2fb69d05',1,'arm_compute::wrapper::vorr(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a890824d4840294e482a1cb80d3f93972',1,'arm_compute::wrapper::vorr(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae37968041962a0906bd348df28d07fef',1,'arm_compute::wrapper::vorr(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ae5dad3d69ec8ed5cee464869327ee189',1,'arm_compute::wrapper::vorr(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9538681eef113da4bc7192eae24d9d29',1,'arm_compute::wrapper::vorr(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac8c49d92c97299ca7a1d4d558ab4fe4c',1,'arm_compute::wrapper::vorr(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5f7ab02073d80a11d6dc31165ef4e408',1,'arm_compute::wrapper::vorr(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a85a500565f56a89cc48ee9bfa6de5bb6',1,'arm_compute::wrapper::vorr(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa9b568258be29fdc84f839e4c6dca869',1,'arm_compute::wrapper::vorr(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad22503a8a86c698298bd18d30c7e1c0f',1,'arm_compute::wrapper::vorr(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1ca21e1f83192cb137031766f20a0c88',1,'arm_compute::wrapper::vorr(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a55363e655ba94b3b37d4e5665e79c794',1,'arm_compute::wrapper::vorr(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7810dc5de2d4ed31b3536183f354798f',1,'arm_compute::wrapper::vorr(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac30e27438ac5473a439d231eed39882b',1,'arm_compute::wrapper::vorr(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a47a3a49930632d95dda54fe073458b63',1,'arm_compute::wrapper::vorr(const int64x2_t &amp;a, const int64x2_t &amp;b)']]],
   ['vpadd',['vpadd',['../namespacearm__compute_1_1wrapper.xhtml#a475ee3c8ef70a2e4f18effd1d527a63a',1,'arm_compute::wrapper::vpadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a484740aa6942805e042822fb7cef12ec',1,'arm_compute::wrapper::vpadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af7354b0a019a54faca6951b03d9cf766',1,'arm_compute::wrapper::vpadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abd6493e8a191146e3455134723c495d1',1,'arm_compute::wrapper::vpadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac025e9eb7cd72f6ef016cb928b51b02d',1,'arm_compute::wrapper::vpadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac061b47e13fa4832ee51b203de487325',1,'arm_compute::wrapper::vpadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#adae782aae6d44f1f87f624b31a544c59',1,'arm_compute::wrapper::vpadd(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
-  ['vpmax',['vpmax',['../namespacearm__compute.xhtml#aae85042ef273ca700734604b5488f2ff',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint8_t &gt; a, vec_8_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a0d9a679f8dfa41f17d46f6c1e56ca82d',1,'arm_compute::vpmax(vec_8_byte_t&lt; int8_t &gt; a, vec_8_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a2bc9036a2d288d7a4ad2d015d91ba5d9',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint16_t &gt; a, vec_8_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#ab831eb6268e8d3dcfd9ce6e1e7daf598',1,'arm_compute::vpmax(vec_8_byte_t&lt; int16_t &gt; a, vec_8_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#aacd10f0e821aff266057a1fc443c6344',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint32_t &gt; a, vec_8_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#aeb42b9eb65ed0207ddcdb9c870fd5697',1,'arm_compute::vpmax(vec_8_byte_t&lt; int32_t &gt; a, vec_8_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#af8efc828ccf4a8f2c6b26cfe3813952d',1,'arm_compute::vpmax(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)']]],
+  ['vpmax',['vpmax',['../namespacearm__compute_1_1wrapper.xhtml#ab799fd9cd5fc5989593e69c55bc400f9',1,'arm_compute::wrapper::vpmax(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a77e7bf27d6c698eeb78c6e59c7736ff3',1,'arm_compute::wrapper::vpmax(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a5d9100f677c0c26000fbe7f1142a0169',1,'arm_compute::wrapper::vpmax(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a084c3b19f25619ec9a4f6a28edb4849b',1,'arm_compute::wrapper::vpmax(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a95f30695a9984559b5b4330be93fb4f5',1,'arm_compute::wrapper::vpmax(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a39ff87169325e42bcec4e8b72aebac16',1,'arm_compute::wrapper::vpmax(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abae9be70c52a197549e33b022ddd488f',1,'arm_compute::wrapper::vpmax(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute.xhtml#aae85042ef273ca700734604b5488f2ff',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint8_t &gt; a, vec_8_byte_t&lt; uint8_t &gt; b)'],['../namespacearm__compute.xhtml#a0d9a679f8dfa41f17d46f6c1e56ca82d',1,'arm_compute::vpmax(vec_8_byte_t&lt; int8_t &gt; a, vec_8_byte_t&lt; int8_t &gt; b)'],['../namespacearm__compute.xhtml#a2bc9036a2d288d7a4ad2d015d91ba5d9',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint16_t &gt; a, vec_8_byte_t&lt; uint16_t &gt; b)'],['../namespacearm__compute.xhtml#ab831eb6268e8d3dcfd9ce6e1e7daf598',1,'arm_compute::vpmax(vec_8_byte_t&lt; int16_t &gt; a, vec_8_byte_t&lt; int16_t &gt; b)'],['../namespacearm__compute.xhtml#aacd10f0e821aff266057a1fc443c6344',1,'arm_compute::vpmax(vec_8_byte_t&lt; uint32_t &gt; a, vec_8_byte_t&lt; uint32_t &gt; b)'],['../namespacearm__compute.xhtml#aeb42b9eb65ed0207ddcdb9c870fd5697',1,'arm_compute::vpmax(vec_8_byte_t&lt; int32_t &gt; a, vec_8_byte_t&lt; int32_t &gt; b)'],['../namespacearm__compute.xhtml#af8efc828ccf4a8f2c6b26cfe3813952d',1,'arm_compute::vpmax(vec_8_byte_t&lt; float &gt; a, vec_8_byte_t&lt; float &gt; b)']]],
+  ['vpmin',['vpmin',['../namespacearm__compute_1_1wrapper.xhtml#ab82845d16e532ba6603e1b960a79384b',1,'arm_compute::wrapper::vpmin(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a7f1295502983abdaece250516b8e564e',1,'arm_compute::wrapper::vpmin(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a14642064b6d61c95588ff03d2bf3e522',1,'arm_compute::wrapper::vpmin(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a90e2e64fc6298266c08a915c77fca4b3',1,'arm_compute::wrapper::vpmin(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a53afd5e9a5ce60ef6cf7426f4998fed8',1,'arm_compute::wrapper::vpmin(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a3f1bc2edd11ddc6647c50e9f52ef64e5',1,'arm_compute::wrapper::vpmin(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ab12ca96a30ec693404ee462fa9972441',1,'arm_compute::wrapper::vpmin(const float32x2_t &amp;a, const float32x2_t &amp;b)']]],
+  ['vpow',['vpow',['../namespacearm__compute_1_1wrapper.xhtml#a566497df1ac44164eb8643f5d469afae',1,'arm_compute::wrapper']]],
   ['vpowq_5ff32',['vpowq_f32',['../namespacearm__compute.xhtml#aa6465367a67af2bae4ca46750231dae0',1,'arm_compute']]],
+  ['vqabs',['vqabs',['../namespacearm__compute_1_1wrapper.xhtml#ab568def82c6d63d62a6736692a0bf97b',1,'arm_compute::wrapper::vqabs(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#af639c9e81e3a5d57b1f1443da4503d77',1,'arm_compute::wrapper::vqabs(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab219f58f3a2dc02e7c8d3db795713bc2',1,'arm_compute::wrapper::vqabs(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aa19cbaeed1496296b1ea6e638541f1e9',1,'arm_compute::wrapper::vqabs(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ac1ce2ba81004fec53962d992d17eb67d',1,'arm_compute::wrapper::vqabs(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a13ac476fb950eb66f403ce700c6344da',1,'arm_compute::wrapper::vqabs(const int32x4_t &amp;a)']]],
+  ['vqadd',['vqadd',['../namespacearm__compute_1_1wrapper.xhtml#a4b3ec2db417aa33bc7d68ad6e1ff7952',1,'arm_compute::wrapper::vqadd(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af965181ce04747ee66db6df4d874b950',1,'arm_compute::wrapper::vqadd(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#afb5f5a2209cf45d306488d289d6054de',1,'arm_compute::wrapper::vqadd(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#acbe862c2646ecdf3849eff8bd570e5dc',1,'arm_compute::wrapper::vqadd(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a762716e74212d443b77d5bc95264a884',1,'arm_compute::wrapper::vqadd(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a789d9bb65ffa618b4675ebf422e96e94',1,'arm_compute::wrapper::vqadd(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a297de761eb0705e6059856e4a8e6e1d2',1,'arm_compute::wrapper::vqadd(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a72f70b1a6486a6f618c84d2d9c82668f',1,'arm_compute::wrapper::vqadd(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ad7c46b130d392febff53d84a9b7bc567',1,'arm_compute::wrapper::vqadd(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#abe0c6273a56abe65f9dcc46a4bd97bf9',1,'arm_compute::wrapper::vqadd(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#af753dd3e0b525e5e0c058d52eee053c6',1,'arm_compute::wrapper::vqadd(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0e5010d0f62bd2a226b0372d2dcea8d3',1,'arm_compute::wrapper::vqadd(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a751d2fad3faaac0746d7c592a31d17d7',1,'arm_compute::wrapper::vqadd(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a820fc5b16f2d54dc9af247818404ca38',1,'arm_compute::wrapper::vqadd(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ac33aa1b8ca7945804c5ca05939a878ad',1,'arm_compute::wrapper::vqadd(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a1ca96f83ef1f8a5b8c24b21e0026acc2',1,'arm_compute::wrapper::vqadd(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a39bba706f09450defce7cb2b63a21301',1,'arm_compute::wrapper::vqadd(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a32bfd06741edea5bbf2b98302bb929e8',1,'arm_compute::wrapper::vqadd(const float32x4_t &amp;a, const float32x4_t &amp;b)']]],
   ['vqmovn',['vqmovn',['../namespacearm__compute_1_1wrapper.xhtml#a55bc37be5f14e4c561d3ca93b2a34aa9',1,'arm_compute::wrapper::vqmovn(const uint64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a7154843230482bb0b779d95621541003',1,'arm_compute::wrapper::vqmovn(const int64x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a57941a547a0cfad979bd6b8fa9e030b7',1,'arm_compute::wrapper::vqmovn(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a1128ee038af1aeb3df753bd4958e2009',1,'arm_compute::wrapper::vqmovn(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a03d244df122ac5030119baa1dfe319c6',1,'arm_compute::wrapper::vqmovn(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaca6eb034c8564ecc9b32f50e85349ea',1,'arm_compute::wrapper::vqmovn(const int16x8_t &amp;a)']]],
+  ['vquantize',['vquantize',['../namespacearm__compute.xhtml#a6554986624335b7c05f968342630f530',1,'arm_compute']]],
+  ['vrev64',['vrev64',['../namespacearm__compute_1_1wrapper.xhtml#aa7a641703a9c98932d775d915bf7a3e5',1,'arm_compute::wrapper::vrev64(const uint8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a0540a3dcbe54b53aa63f839d68489c8f',1,'arm_compute::wrapper::vrev64(const int8x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#ab00e48a754ea292c76df472860f58d41',1,'arm_compute::wrapper::vrev64(const uint16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a77b10f14845f83d937ac88959aee2f53',1,'arm_compute::wrapper::vrev64(const int16x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a7f8f72bda25ed0b65d693f610e85bd9d',1,'arm_compute::wrapper::vrev64(const uint32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a50ff385c1f05f515248bcf254c821594',1,'arm_compute::wrapper::vrev64(const int32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#afd2b502712f706b76d2e8daa866d9755',1,'arm_compute::wrapper::vrev64(const float32x2_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a3ff423602b2a8b90c171821634966821',1,'arm_compute::wrapper::vrev64(const uint8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#acd05ffb53527cc219bdd39cdf00d3b10',1,'arm_compute::wrapper::vrev64(const int8x16_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a965877a2762592da21615f712c80e078',1,'arm_compute::wrapper::vrev64(const uint16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a08eab42fbe6d87171c070fe0741637c0',1,'arm_compute::wrapper::vrev64(const int16x8_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a5bf14ce2affa893fff3415233391316e',1,'arm_compute::wrapper::vrev64(const uint32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#a9cc8db9abd0cf482e2215ac5a5912b81',1,'arm_compute::wrapper::vrev64(const int32x4_t &amp;a)'],['../namespacearm__compute_1_1wrapper.xhtml#aaf40a436440668bca238d2c728ae7158',1,'arm_compute::wrapper::vrev64(const float32x4_t &amp;a)']]],
+  ['vsetlane',['vsetlane',['../namespacearm__compute_1_1wrapper.xhtml#a6ee3531f4293703c9b32e28421bfc061',1,'arm_compute::wrapper::vsetlane(const uint8_t value, const uint8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#affa58b394277f910e9ee3c74c1d92f4f',1,'arm_compute::wrapper::vsetlane(const int8_t value, const int8x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0160f519b1fe681e083a2b43975e340e',1,'arm_compute::wrapper::vsetlane(const uint16_t value, const uint16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a289ff28c038d8d2f4f34bc77bf9d7337',1,'arm_compute::wrapper::vsetlane(const int16_t value, const int16x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ab312ab1d815f0ab12b174aad45e73163',1,'arm_compute::wrapper::vsetlane(const uint32_t value, const uint32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a3e06d386c6840a2e151e9bb512116672',1,'arm_compute::wrapper::vsetlane(const int32_t value, const int32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad9d3b040097aabee689838e632cda0d8',1,'arm_compute::wrapper::vsetlane(const float value, const float32x2_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ad8d6919caaf76e0ccf623776d4f8ff11',1,'arm_compute::wrapper::vsetlane(const uint8_t value, const uint8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a9f433afab16132e121382bb146e7e5c8',1,'arm_compute::wrapper::vsetlane(const int8_t value, const int8x16_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aa6e430a73e202fe5fe0c8d7144154f31',1,'arm_compute::wrapper::vsetlane(const uint16_t value, const uint16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aa73970167535f639cd8ddc192af4645b',1,'arm_compute::wrapper::vsetlane(const int16_t value, const int16x8_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#aee2ebe404fede9d44de77843aacef5e6',1,'arm_compute::wrapper::vsetlane(const uint32_t value, const uint32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#a0fb7bcbe12d35286550150bcfa7bd0c6',1,'arm_compute::wrapper::vsetlane(const int32_t value, const int32x4_t vector, const unsigned int lane)'],['../namespacearm__compute_1_1wrapper.xhtml#ac7afef15d1a2161dd098cc72cbea32fe',1,'arm_compute::wrapper::vsetlane(const float value, const float32x4_t vector, const unsigned int lane)']]],
   ['vst',['vst',['../namespacearm__compute.xhtml#a3753b9d735032ba72e7df0c5cbba31a1',1,'arm_compute::vst(ptr_t&lt; uint8_t &gt; ptr, vec_8_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#aa17a7667769390f153ad5289d5390341',1,'arm_compute::vst(ptr_t&lt; uint8_t &gt; ptr, vec_16_byte_t&lt; uint8_t &gt; vec)'],['../namespacearm__compute.xhtml#acec5b4ba08b0ab7d080e2177e4b3deb1',1,'arm_compute::vst(ptr_t&lt; int8_t &gt; ptr, vec_8_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#ab2c29d96efc44a4163d8f594cd836d1e',1,'arm_compute::vst(ptr_t&lt; int8_t &gt; ptr, vec_16_byte_t&lt; int8_t &gt; vec)'],['../namespacearm__compute.xhtml#a9893527df6922f85f0f3173142247ece',1,'arm_compute::vst(ptr_t&lt; uint16_t &gt; ptr, vec_8_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a090a9d8254580d7c22668e21e581d58e',1,'arm_compute::vst(ptr_t&lt; uint16_t &gt; ptr, vec_16_byte_t&lt; uint16_t &gt; vec)'],['../namespacearm__compute.xhtml#a7a7441e9c3870a817f9084697730a0e9',1,'arm_compute::vst(ptr_t&lt; int16_t &gt; ptr, vec_8_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#ac9aedf36525da0e2306db27867c2bb5d',1,'arm_compute::vst(ptr_t&lt; int16_t &gt; ptr, vec_16_byte_t&lt; int16_t &gt; vec)'],['../namespacearm__compute.xhtml#aa1e4aafb14bd8eee38caa7ad5db69507',1,'arm_compute::vst(ptr_t&lt; uint32_t &gt; ptr, vec_8_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#aca451511712482f55001063da2317427',1,'arm_compute::vst(ptr_t&lt; uint32_t &gt; ptr, vec_16_byte_t&lt; uint32_t &gt; vec)'],['../namespacearm__compute.xhtml#a59f96d9a74850a843c1f710803fe8de8',1,'arm_compute::vst(ptr_t&lt; int32_t &gt; ptr, vec_8_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a788c1fc3809f77d2866e4282d374770b',1,'arm_compute::vst(ptr_t&lt; int32_t &gt; ptr, vec_16_byte_t&lt; int32_t &gt; vec)'],['../namespacearm__compute.xhtml#a01cfd18ed87a496fc5d3be04a040be61',1,'arm_compute::vst(ptr_t&lt; float &gt; ptr, vec_8_byte_t&lt; float &gt; vec)'],['../namespacearm__compute.xhtml#abd25994f8abe7093700a88a65fdb6ad5',1,'arm_compute::vst(ptr_t&lt; float &gt; ptr, vec_16_byte_t&lt; float &gt; vec)']]],
   ['vstore',['vstore',['../namespacearm__compute_1_1wrapper.xhtml#ae7943ea9c1f74dc72c62d4cc3966a459',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a256a55d40b65c0a2a22b3f64045716be',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ab2a18e2f73c6066ec4af6ff793dc854c',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#acbd85567ac69618d6ac0fe06fb72af44',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a65e75ff8f4d05960e50761a5a58dd386',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a01875212af1a5ab754c818415f8df88d',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#ad417a154c619b3568b9eb97fc475a20c',1,'arm_compute::wrapper::vstore(float *ptr, float32x2_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a23d6ee788a3fdc90cfe7455e6c567aa9',1,'arm_compute::wrapper::vstore(uint8_t *ptr, uint8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a0a18c21e0fa9aea77c824091f2121f53',1,'arm_compute::wrapper::vstore(int8_t *ptr, int8x16_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a68347843dccc0dda3b8d96400782a1d4',1,'arm_compute::wrapper::vstore(uint16_t *ptr, uint16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aea6948f7d0bf41e8db92807708860a81',1,'arm_compute::wrapper::vstore(int16_t *ptr, int16x8_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a03ba7288457603cf531d82704aae5115',1,'arm_compute::wrapper::vstore(uint32_t *ptr, uint32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#aefc551995598c813e0e9bd5a0a32821b',1,'arm_compute::wrapper::vstore(int32_t *ptr, int32x4_t val)'],['../namespacearm__compute_1_1wrapper.xhtml#a9d16581b2d731ab0217ba7bd77b573d8',1,'arm_compute::wrapper::vstore(float *ptr, float32x4_t val)']]],
-  ['vsub',['vsub',['../namespacearm__compute.xhtml#ad0ebbe865e9e6cfd1b2df041f8374ed0',1,'arm_compute']]],
+  ['vsub',['vsub',['../namespacearm__compute_1_1wrapper.xhtml#acae4ec59246f93845fa78120d83d7c1e',1,'arm_compute::wrapper::vsub(const uint8x8_t &amp;a, const uint8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#ace6024107f3c7f23e71fb8f562b8d5c7',1,'arm_compute::wrapper::vsub(const int8x8_t &amp;a, const int8x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a468586c56d3e28a0b1492191f93e3114',1,'arm_compute::wrapper::vsub(const uint16x4_t &amp;a, const uint16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a19c9afcb37c1acbc0ea0dca7d69cfecd',1,'arm_compute::wrapper::vsub(const int16x4_t &amp;a, const int16x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a882d823737e7f02891f551b327f09018',1,'arm_compute::wrapper::vsub(const uint32x2_t &amp;a, const uint32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a0ace7ee33e6139e6f4ff6b957491873e',1,'arm_compute::wrapper::vsub(const int32x2_t &amp;a, const int32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a9929a9e0155db97ec6ace69ca9aa9285',1,'arm_compute::wrapper::vsub(const uint64x1_t &amp;a, const uint64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a55b34f6398f9cd94e56726cecceda89c',1,'arm_compute::wrapper::vsub(const int64x1_t &amp;a, const int64x1_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aad4cc552d226849f40a3497d26210462',1,'arm_compute::wrapper::vsub(const float32x2_t &amp;a, const float32x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a99988978e94a874acdba8d9c207a2ddc',1,'arm_compute::wrapper::vsub(const uint8x16_t &amp;a, const uint8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a34df49b41bb7529a2f645b8585b011a4',1,'arm_compute::wrapper::vsub(const int8x16_t &amp;a, const int8x16_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aae7a048314067322874e692c4395b47d',1,'arm_compute::wrapper::vsub(const uint16x8_t &amp;a, const uint16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a52c4e22cefb4dfaacd4cc37abf11737b',1,'arm_compute::wrapper::vsub(const int16x8_t &amp;a, const int16x8_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a381c61234684f00b9864d869c493977c',1,'arm_compute::wrapper::vsub(const uint32x4_t &amp;a, const uint32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a599bbc343ffe0caccd7bc63f704ed0bf',1,'arm_compute::wrapper::vsub(const int32x4_t &amp;a, const int32x4_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a2c6f1fc5cee6436ff4ccce4d621156b3',1,'arm_compute::wrapper::vsub(const uint64x2_t &amp;a, const uint64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#aa55414dc3d6ed3856a2c843eed3e2eb5',1,'arm_compute::wrapper::vsub(const int64x2_t &amp;a, const int64x2_t &amp;b)'],['../namespacearm__compute_1_1wrapper.xhtml#a8e554b12444e93f60796f1762e67edd7',1,'arm_compute::wrapper::vsub(const float32x4_t &amp;a, const float32x4_t &amp;b)'],['../namespacearm__compute.xhtml#ad0ebbe865e9e6cfd1b2df041f8374ed0',1,'arm_compute::vsub()']]],
+  ['vtanh',['vtanh',['../namespacearm__compute_1_1wrapper.xhtml#acbccd6a89f4cdd679773ce30f7959db0',1,'arm_compute::wrapper']]],
   ['vtanhq_5ff32',['vtanhq_f32',['../namespacearm__compute.xhtml#a3e59419da344d02daca9c5b274a1da45',1,'arm_compute']]],
   ['vtaylor_5fpolyq_5ff32',['vtaylor_polyq_f32',['../namespacearm__compute.xhtml#a0c10bb00a86edd8d0cd4c33b494f6cd4',1,'arm_compute']]]
 ];
diff --git a/documentation/search/functions_16.html b/documentation/search/functions_16.html
index 28a5025..185f971 100644
--- a/documentation/search/functions_16.html
+++ b/documentation/search/functions_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_16.js b/documentation/search/functions_16.js
index 8715ce7..79d61ed 100644
--- a/documentation/search/functions_16.js
+++ b/documentation/search/functions_16.js
@@ -1,6 +1,7 @@
 var searchData=
 [
   ['wait',['wait',['../classarm__compute_1_1_semaphore.xhtml#aa3b21853f890838c88d047d6c2786917',1,'arm_compute::Semaphore']]],
+  ['wait_5ffor_5freshaping',['wait_for_reshaping',['../classarm__compute_1_1_i_buffer_manager.xhtml#a81f45c176c40902f781fd3d9dc9bc8b4',1,'arm_compute::IBufferManager']]],
   ['wallclock',['WallClock',['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a588aae70464654b78c5527ced6a670e5',1,'arm_compute::test::framework::WallClock']]],
   ['warp_5faffine',['warp_affine',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a97fb6802b7b8641c51fcc29aa03248ed',1,'arm_compute::test::validation::reference::warp_affine(const SimpleTensor&lt; T &gt; &amp;src, SimpleTensor&lt; T &gt; &amp;valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acec59b1e80034018a6a0880bf29a130d',1,'arm_compute::test::validation::reference::warp_affine(const SimpleTensor&lt; uint8_t &gt; &amp;src, SimpleTensor&lt; uint8_t &gt; &amp;valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['warp_5faffine_5fbilinear',['warp_affine_bilinear',['../warp__affine_8cl.xhtml#a4a77d9bbbc01353083729a076cedc38c',1,'warp_affine.cl']]],
@@ -13,12 +14,12 @@
   ['weightsinfo',['WeightsInfo',['../classarm__compute_1_1_weights_info.xhtml#a8bf46ce65f0f9cc0210774dfc60b4e2f',1,'arm_compute::WeightsInfo::WeightsInfo()'],['../classarm__compute_1_1_weights_info.xhtml#aa31155966d774759cdcab55b5c58f4d7',1,'arm_compute::WeightsInfo::WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height, unsigned int num_kernels, bool retain_internal_weights=false)']]],
   ['what',['what',['../classarm__compute_1_1test_1_1framework_1_1_test_error.xhtml#abf843cbb29dec939d0731e491bab6f70',1,'arm_compute::test::framework::TestError']]],
   ['width',['width',['../classarm__compute_1_1_multi_image_info.xhtml#a7f0f3e5dd09a150b2cc221c01804d1a7',1,'arm_compute::MultiImageInfo::width()'],['../classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c',1,'arm_compute::PyramidInfo::width()'],['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a7f0f3e5dd09a150b2cc221c01804d1a7',1,'arm_compute::utils::IImageLoader::width()']]],
-  ['widthconcatenate_5flayer',['widthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7e49433a06e3b5354363b8b8b1b34d84',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a156c642189bcac16a85253ea54db408f',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d7c8bb2d0587650ce8c33d2c902089b',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab3d877abeb291d77c1c2731cb8617f65',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs)']]],
-  ['window',['window',['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()'],['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &amp;src)']]],
+  ['widthconcatenate_5flayer',['widthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07c7ad69ed55ef92ff2ce531fcd162d3',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs, SimpleTensor&lt; T &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2ce157acf472c0f34649ea948c43cfa2',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs, SimpleTensor&lt; float &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afbfdb6403f9e0f9def6c770667c81bf0',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs, SimpleTensor&lt; half &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac10d8fb6fc582b5d6eaab630e9c6e715',1,'arm_compute::test::validation::reference::widthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs, SimpleTensor&lt; uint8_t &gt; &amp;dst)']]],
+  ['window',['Window',['../classarm__compute_1_1_window.xhtml#ab242a9d3683ac8f480f7944ff6f40534',1,'arm_compute::Window::Window()'],['../classarm__compute_1_1_window.xhtml#ae65e2546322a23806510364033bc8fcd',1,'arm_compute::Window::Window(const Window &amp;src)'],['../classarm__compute_1_1_i_distribution1_d.xhtml#a37a51d76966b92a45375e074e0ea0204',1,'arm_compute::IDistribution1D::window()'],['../classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6',1,'arm_compute::IKernel::window()']]],
   ['windowiterator',['WindowIterator',['../classarm__compute_1_1_window_iterator.xhtml#aa1abaf6e2f4e4b1c0f002216dc1ce54b',1,'arm_compute::WindowIterator']]],
   ['winograd_5ffilter_5ftransform',['winograd_filter_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae1720f2a51d1415a9c5afbf2a5c2749f',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad75aaeada9a22fadf0ba735bca1adcbc',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a45caafa00e54ed470a87a918cddd85ea',1,'arm_compute::test::validation::reference::winograd_filter_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
-  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4cb8192e12f81018932779978c3788a',1,'arm_compute::test::validation']]],
   ['winograd_5finput_5ftransform',['winograd_input_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a09a73d5705389176ff8b7f95946dbc2d',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad4f10ed9128a31cdf47c9f81453c4d51',1,'arm_compute::test::validation::reference::winograd_input_transform(const SimpleTensor&lt; half &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
   ['winograd_5foutput_5ftransform',['winograd_output_transform',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adacc73fb5c03e7a1273c0c81c8f8dad5',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f9f87c1fce2adf686c6afb5b4da3ce1',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aeede3ceb64d85268e08fb5d90ca99e85',1,'arm_compute::test::validation::reference::winograd_output_transform(const SimpleTensor&lt; half &gt; &amp;in, const SimpleTensor&lt; half &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)']]],
-  ['winogradinfo',['WinogradInfo',['../structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3',1,'arm_compute::WinogradInfo']]]
+  ['winogradinfo',['WinogradInfo',['../structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3',1,'arm_compute::WinogradInfo']]],
+  ['wrap_5faround',['wrap_around',['../namespacearm__compute.xhtml#aeb6881009f40f57d430752441ec5c4f4',1,'arm_compute']]]
 ];
diff --git a/documentation/search/functions_17.html b/documentation/search/functions_17.html
index dabb214..6f92cf7 100644
--- a/documentation/search/functions_17.html
+++ b/documentation/search/functions_17.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_17.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_18.html b/documentation/search/functions_18.html
index 8a9723d..9552ba8 100644
--- a/documentation/search/functions_18.html
+++ b/documentation/search/functions_18.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_18.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_19.html b/documentation/search/functions_19.html
index e55f8c0..7c39c28 100644
--- a/documentation/search/functions_19.html
+++ b/documentation/search/functions_19.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_19.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_19.js b/documentation/search/functions_19.js
index ba155c4..7c4d254 100644
--- a/documentation/search/functions_19.js
+++ b/documentation/search/functions_19.js
@@ -2,6 +2,6 @@
 [
   ['z',['z',['../classarm__compute_1_1_dimensions.xhtml#abb29a685080e999c2a0cb874d2f7bb5a',1,'arm_compute::Dimensions::z()'],['../classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf',1,'arm_compute::Window::z()']]],
   ['zeros',['zeros',['../namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; T &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab17c3c69a66d5ffed29f3aea46ef5d0d',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; float &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a709829132891ed783e63a5bc57ff4f80',1,'arm_compute::test::validation::zeros(SimpleTensor&lt; half &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)']]],
-  ['zip',['zip',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab',1,'arm_compute::test::framework::dataset::zip()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b21582e176d7bf27d350e5a10e8e554',1,'arm_compute::test::validation::zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, true }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83c3f26a5c463cb91f9f39fc47fe02fd',1,'arm_compute::test::validation::zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) }), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(512U), 1, DataType::F16), TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(13U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, true, false, true, false }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94bf82577407bd38165f4e84c4c360a',1,'arm_compute::test::validation::zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(19U), 1, DataType::F16), TensorInfo(TensorShape(19U), 1, DataType::F32), TensorInfo(TensorShape(21U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 2, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false }))']]],
+  ['zip',['zip',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab',1,'arm_compute::test::framework::dataset::zip()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0',1,'arm_compute::test::validation::zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false}))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b21582e176d7bf27d350e5a10e8e554',1,'arm_compute::test::validation::zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, true }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83c3f26a5c463cb91f9f39fc47fe02fd',1,'arm_compute::test::validation::zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) }), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(512U), 1, DataType::F16), TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(13U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, true, false, true, false }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94bf82577407bd38165f4e84c4c360a',1,'arm_compute::test::validation::zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(19U), 1, DataType::F16), TensorInfo(TensorShape(19U), 1, DataType::F32), TensorInfo(TensorShape(21U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 2, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false }))']]],
   ['zipdataset',['ZipDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#af228d1e5cd68bd5085756622d761de1e',1,'arm_compute::test::framework::dataset::ZipDataset::ZipDataset(T &amp;&amp;dataset1, U &amp;&amp;dataset2)'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml#a5e41b6d07e57d4b5f36c494122664069',1,'arm_compute::test::framework::dataset::ZipDataset::ZipDataset(ZipDataset &amp;&amp;)=default']]]
 ];
diff --git a/documentation/search/functions_1a.html b/documentation/search/functions_1a.html
index 814676c..0cb5b50 100644
--- a/documentation/search/functions_1a.html
+++ b/documentation/search/functions_1a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_1a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_1a.js b/documentation/search/functions_1a.js
index b1e0e90..68ffeb3 100644
--- a/documentation/search/functions_1a.js
+++ b/documentation/search/functions_1a.js
@@ -8,9 +8,6 @@
   ['_7eclabsolutedifferencekernel',['~CLAbsoluteDifferenceKernel',['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aea6992684b565a3656dae7216a3be2d4',1,'arm_compute::CLAbsoluteDifferenceKernel']]],
   ['_7eclaccessor',['~CLAccessor',['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558',1,'arm_compute::test::CLAccessor']]],
   ['_7eclactivationlayerkernel',['~CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a181f365021a9a09d59233ba388d34e04',1,'arm_compute::CLActivationLayerKernel']]],
-  ['_7eclarithmeticadditionkernel',['~CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a7963f0e83a9b2ccc626701d97a89e76a',1,'arm_compute::CLArithmeticAdditionKernel']]],
-  ['_7eclarithmeticdivisionkernel',['~CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aaafc0a9997bc9056b7e2380295845b08',1,'arm_compute::CLArithmeticDivisionKernel']]],
-  ['_7eclarithmeticsubtractionkernel',['~CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a582c6993688f726a39586d3d3c6352a6',1,'arm_compute::CLArithmeticSubtractionKernel']]],
   ['_7eclarrayaccessor',['~CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a2a37710fa81773bdbf719162c10f2309',1,'arm_compute::test::CLArrayAccessor']]],
   ['_7eclbatchnormalizationlayerkernel',['~CLBatchNormalizationLayerKernel',['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#aafb7a9f7e113cbb1f93dd030a4994b4a',1,'arm_compute::CLBatchNormalizationLayerKernel']]],
   ['_7eclbatchtospacelayerkernel',['~CLBatchToSpaceLayerKernel',['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7d732f47b911ef028720ac10eaf8d401',1,'arm_compute::CLBatchToSpaceLayerKernel']]],
@@ -20,6 +17,7 @@
   ['_7eclchannelshufflelayerkernel',['~CLChannelShuffleLayerKernel',['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a5f7c9ea68c5539bf65a3e1890a52eaa2',1,'arm_compute::CLChannelShuffleLayerKernel']]],
   ['_7eclcol2imkernel',['~CLCol2ImKernel',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a4551e8f874d80a480ba0e5f6ad1d256e',1,'arm_compute::CLCol2ImKernel']]],
   ['_7eclcolorconvertkernel',['~CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a96d19d01c4797e1b38105b73613c46d0',1,'arm_compute::CLColorConvertKernel']]],
+  ['_7eclcomparisonkernel',['~CLComparisonKernel',['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#af932cf60ff2f7c649c73f90efb48ead0',1,'arm_compute::CLComparisonKernel']]],
   ['_7eclcomputeallanchorskernel',['~CLComputeAllAnchorsKernel',['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8fbba7829a8210eb702546c1b403e599',1,'arm_compute::CLComputeAllAnchorsKernel']]],
   ['_7eclconvertfullyconnectedweightskernel',['~CLConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#abb671b2d9f848e444d9b224d53a8658b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel']]],
   ['_7eclcopytoarraykernel',['~CLCopyToArrayKernel',['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a7fa1d109f0c6d72521e336fd3955cee9',1,'arm_compute::CLCopyToArrayKernel']]],
@@ -31,11 +29,13 @@
   ['_7ecldevicebackend',['~CLDeviceBackend',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a27f45725c45a61e5a1f4650bd23e25c4',1,'arm_compute::graph::backends::CLDeviceBackend']]],
   ['_7ecldirectconvolutionlayerkernel',['~CLDirectConvolutionLayerKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a050c832adce3b274f8daacedd0558dc8',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_7ecldirectconvolutionlayeroutputstagekernel',['~CLDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#acb5d5116dc6d287ed1ba2b96ffcd9de6',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel']]],
+  ['_7eclelementwiseoperationkernel',['~CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a27ccbab68c78b7dd53f78fc60134f459',1,'arm_compute::CLElementwiseOperationKernel']]],
   ['_7eclfastcornerskernel',['~CLFastCornersKernel',['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999',1,'arm_compute::CLFastCornersKernel']]],
   ['_7eclfillborderkernel',['~CLFillBorderKernel',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ad22d0bc4356a4068c244952df68fd5c7',1,'arm_compute::CLFillBorderKernel']]],
   ['_7eclfloorkernel',['~CLFloorKernel',['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ad28ea1ad696bf40c73bb4a5e56a17cb2',1,'arm_compute::CLFloorKernel']]],
   ['_7eclfusebatchnormalization',['~CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a4ef3acaf1a24c82ddf0c49898ff051f0',1,'arm_compute::CLFuseBatchNormalization']]],
   ['_7eclfusebatchnormalizationkernel',['~CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#af69af06dfc5def5c07d9c1299907124b',1,'arm_compute::CLFuseBatchNormalizationKernel']]],
+  ['_7eclgatherkernel',['~CLGatherKernel',['../classarm__compute_1_1_c_l_gather_kernel.xhtml#acb3dc2f1af6827c91c3761f891959874',1,'arm_compute::CLGatherKernel']]],
   ['_7eclgaussianpyramid',['~CLGaussianPyramid',['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afafbe10da580ab0f3105947cb4a383ac',1,'arm_compute::CLGaussianPyramid']]],
   ['_7eclgaussianpyramidhorkernel',['~CLGaussianPyramidHorKernel',['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aff3525c5fcfeb85912814c1bbbaf0835',1,'arm_compute::CLGaussianPyramidHorKernel']]],
   ['_7eclgaussianpyramidvertkernel',['~CLGaussianPyramidVertKernel',['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abc1512876a55b624d62f83b64efde7dd',1,'arm_compute::CLGaussianPyramidVertKernel']]],
@@ -54,10 +54,13 @@
   ['_7eclpoolinglayerkernel',['~CLPoolingLayerKernel',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#afcd410341247696c0569a1499407c39b',1,'arm_compute::CLPoolingLayerKernel']]],
   ['_7eclpriorboxlayerkernel',['~CLPriorBoxLayerKernel',['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ad7e1bd8f5adb2c10670a476f09445edf',1,'arm_compute::CLPriorBoxLayerKernel']]],
   ['_7eclquantizationlayerkernel',['~CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a161b70654b73f6ea4a849244037e44f2',1,'arm_compute::CLQuantizationLayerKernel']]],
+  ['_7eclrangekernel',['~CLRangeKernel',['../classarm__compute_1_1_c_l_range_kernel.xhtml#a4f920ed1f5fc9c5601e634ce0bb5349e',1,'arm_compute::CLRangeKernel']]],
   ['_7eclreductionoperationkernel',['~CLReductionOperationKernel',['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a41897f3ac6bba4829bc4d7e6e8966522',1,'arm_compute::CLReductionOperationKernel']]],
   ['_7eclreshapelayerkernel',['~CLReshapeLayerKernel',['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a58e8ad2f936f30f8b9338f2fadc3a869',1,'arm_compute::CLReshapeLayerKernel']]],
+  ['_7eclreversekernel',['~CLReverseKernel',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#ad6a7f513aae4dc230aa142e5f9f7fd7a',1,'arm_compute::CLReverseKernel']]],
   ['_7eclroialignlayerkernel',['~CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a51f7ffa8763b785685c949f54e299e81',1,'arm_compute::CLROIAlignLayerKernel']]],
   ['_7eclroipoolinglayerkernel',['~CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a53d9dab24d8a807311da1f9f1982bf5b',1,'arm_compute::CLROIPoolingLayerKernel']]],
+  ['_7eclselectkernel',['~CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml#a7377f19dd324778aa81b4badbf34610e',1,'arm_compute::CLSelectKernel']]],
   ['_7eclsobel3x3kernel',['~CLSobel3x3Kernel',['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a95501c3f5d09ada6ea151f08fff6d120',1,'arm_compute::CLSobel3x3Kernel']]],
   ['_7eclsobel5x5horkernel',['~CLSobel5x5HorKernel',['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a6c123393267557301f2549114112d414',1,'arm_compute::CLSobel5x5HorKernel']]],
   ['_7eclsobel5x5vertkernel',['~CLSobel5x5VertKernel',['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#ad88337f2cf8d90a2a9106d80c3807873',1,'arm_compute::CLSobel5x5VertKernel']]],
@@ -65,10 +68,12 @@
   ['_7eclsobel7x7vertkernel',['~CLSobel7x7VertKernel',['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#ad22bc492781a9536130d81344e26b1b7',1,'arm_compute::CLSobel7x7VertKernel']]],
   ['_7eclspacetobatchlayer',['~CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aca2631498d8a5041bc794e4d6a78f890',1,'arm_compute::CLSpaceToBatchLayer']]],
   ['_7eclspacetobatchlayerkernel',['~CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#aec90e410affbc5f218f87fd6ca0b869a',1,'arm_compute::CLSpaceToBatchLayerKernel']]],
+  ['_7eclstacklayerkernel',['~CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a4c84a3e30d19dbd4acf498cc5200f6fd',1,'arm_compute::CLStackLayerKernel']]],
   ['_7eclstridedslicekernel',['~CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a8e445e751c661bfd0fa9c44db41c1e7e',1,'arm_compute::CLStridedSliceKernel']]],
   ['_7eclsubtensor',['~CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a3f3d38e602db0a6af8ac5e932d798617',1,'arm_compute::CLSubTensor']]],
   ['_7eclsubtensorhandle',['~CLSubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#aff3ddbf6f76a8b47654bf773377816b9',1,'arm_compute::graph::backends::CLSubTensorHandle']]],
   ['_7ecltensorhandle',['~CLTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a5bd6aa91a101491499a24df8e7e8a9d4',1,'arm_compute::graph::backends::CLTensorHandle']]],
+  ['_7ecltilekernel',['~CLTileKernel',['../classarm__compute_1_1_c_l_tile_kernel.xhtml#acb5a80ec55aaac1baf94b446ea81285c',1,'arm_compute::CLTileKernel']]],
   ['_7ecltuner',['~CLTuner',['../classarm__compute_1_1_c_l_tuner.xhtml#a577ac5b9d244bdf031905faaf08b968c',1,'arm_compute::CLTuner']]],
   ['_7eclupsamplelayer',['~CLUpsampleLayer',['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a711d862a07f6001d7bc42bec7e7d153b',1,'arm_compute::CLUpsampleLayer']]],
   ['_7eclupsamplelayerkernel',['~CLUpsampleLayerKernel',['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#ac80de10312e96e0e115095f9507fe151',1,'arm_compute::CLUpsampleLayerKernel']]],
@@ -84,9 +89,11 @@
   ['_7ecppcornercandidateskernel',['~CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907',1,'arm_compute::CPPCornerCandidatesKernel']]],
   ['_7ecppflipweightskernel',['~CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a386f532b4098af731e2d4cc21c953540',1,'arm_compute::CPPFlipWeightsKernel']]],
   ['_7ecpppermutekernel',['~CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab1ee61e7cba8829906926ec41213dfdc',1,'arm_compute::CPPPermuteKernel']]],
+  ['_7ecpptopkvkernel',['~CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aa71d71b48dc3b5e887a3acd7f2e1d928',1,'arm_compute::CPPTopKVKernel']]],
   ['_7ecppupsamplekernel',['~CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a54e158debdfed307691fef9de2124019',1,'arm_compute::CPPUpsampleKernel']]],
   ['_7edefaultnodevisitor',['~DefaultNodeVisitor',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml#a2038c0d9b4fcd76227f60e2e9292aaf2',1,'arm_compute::graph::DefaultNodeVisitor']]],
   ['_7eexample',['~Example',['../classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b',1,'arm_compute::utils::Example']]],
+  ['_7eexecutiontask',['~ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a9e67e3e10804eb3572c79b9accb62f02',1,'arm_compute::graph::ExecutionTask']]],
   ['_7efilehandler',['~FileHandler',['../classarm__compute_1_1io_1_1_file_handler.xhtml#af21f1ebc53f4b79a0cda634bef0a6137',1,'arm_compute::io::FileHandler']]],
   ['_7egcabsolutedifferencekernel',['~GCAbsoluteDifferenceKernel',['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aaef0d625a5772962805f2fa91e867326',1,'arm_compute::GCAbsoluteDifferenceKernel']]],
   ['_7egcaccessor',['~GCAccessor',['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a6f0e7701f5cd0a4c5891e79444846228',1,'arm_compute::test::GCAccessor']]],
@@ -107,7 +114,6 @@
   ['_7egctensorhandle',['~GCTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#aa5b7124d278f6cbf1d09cc2ed32c5459',1,'arm_compute::graph::backends::GCTensorHandle']]],
   ['_7egctensorshiftkernel',['~GCTensorShiftKernel',['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a448692e8332b0a7e4a783c70f3a62c0d',1,'arm_compute::GCTensorShiftKernel']]],
   ['_7egcweightsreshapekernel',['~GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a4472e61e5e14b25c7aebe4bd525c5ffe',1,'arm_compute::GCWeightsReshapeKernel']]],
-  ['_7egemmimplementation',['~GemmImplementation',['../classarm__gemm_1_1_gemm_implementation.xhtml#a20f2ae50219ab5cb63663ab3324ba56b',1,'arm_gemm::GemmImplementation']]],
   ['_7egemminterleaved',['~GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0ca149c067af4f39661ecce72734e0c5',1,'arm_gemm::GemmInterleaved']]],
   ['_7egraphcontext',['~GraphContext',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#afe3196b59fd8d1a37841d4988db3dc3e',1,'arm_compute::graph::GraphContext']]],
   ['_7ehoginfo',['~HOGInfo',['../classarm__compute_1_1_h_o_g_info.xhtml#ada121d63992678a09e1b3db5a2002bfa',1,'arm_compute::HOGInfo']]],
@@ -116,7 +122,9 @@
   ['_7eiallocator',['~IAllocator',['../classarm__compute_1_1_i_allocator.xhtml#a961a3c35d2c2652499f722ea14775122',1,'arm_compute::IAllocator']]],
   ['_7eiarray',['~IArray',['../classarm__compute_1_1_i_array.xhtml#acaeb87c4bcccaf15bb25bd2c8e44658a',1,'arm_compute::IArray']]],
   ['_7eiarrayaccessor',['~IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aab5e9c61ab48807226cd3187db35c9ba',1,'arm_compute::test::IArrayAccessor']]],
+  ['_7eibuffermanager',['~IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml#ab54ac3ba97d6d0c8ea479539c33b44b5',1,'arm_compute::IBufferManager']]],
   ['_7eiclarray',['~ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml#a0c95f444049eea7c7d14f6fd57ef40a1',1,'arm_compute::ICLArray']]],
+  ['_7eiclgemmreshapedconfiguration',['~ICLGEMMReshapedConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml#a0b49f879edc0fbdd5b44d05038a4e5fe',1,'arm_compute::ICLGEMMReshapedConfiguration']]],
   ['_7eiclhog',['~ICLHOG',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a4f666198e882c54ee00dd2d7c5407df2',1,'arm_compute::ICLHOG']]],
   ['_7eiclmemoryregion',['~ICLMemoryRegion',['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a04ae87317614a2332dea02ad30eaced5',1,'arm_compute::ICLMemoryRegion']]],
   ['_7eicloneable',['~ICloneable',['../classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a711fa7a27557369760fc1fd236deb51c',1,'arm_compute::misc::ICloneable']]],
@@ -190,15 +198,21 @@
   ['_7enedirectconvolutionlayeroutputstagekernel',['~NEDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a8f25d5c2ce83702200fc268fd9649426',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel']]],
   ['_7eneedgenonmaxsuppressionkernel',['~NEEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a78bad28117e1cbaaaf02a131a1a1400f',1,'arm_compute::NEEdgeNonMaxSuppressionKernel']]],
   ['_7eneedgetracekernel',['~NEEdgeTraceKernel',['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a63a533746b32a68c6ab1610c3a4823e6',1,'arm_compute::NEEdgeTraceKernel']]],
+  ['_7eneelementwiseoperationkernel',['~NEElementwiseOperationKernel',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a64919a3d8616028caff9cc55c995e638',1,'arm_compute::NEElementwiseOperationKernel']]],
+  ['_7eneelementwiseunarykernel',['~NEElementwiseUnaryKernel',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a8a80c8f36d195d1a11c876cefb67f6b1',1,'arm_compute::NEElementwiseUnaryKernel']]],
   ['_7enefillarraykernel',['~NEFillArrayKernel',['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a1885e2bee760c881e4d8bc5747bb3200',1,'arm_compute::NEFillArrayKernel']]],
   ['_7enefillborderkernel',['~NEFillBorderKernel',['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ac68288caf6a7f15d12519e1a12161983',1,'arm_compute::NEFillBorderKernel']]],
   ['_7enefillinnerborderkernel',['~NEFillInnerBorderKernel',['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a2a4252d6ad42d3828955547d4dce0c21',1,'arm_compute::NEFillInnerBorderKernel']]],
   ['_7eneflattenlayerkernel',['~NEFlattenLayerKernel',['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a653b42f4c59c12d9655c72a83a2d9e09',1,'arm_compute::NEFlattenLayerKernel']]],
+  ['_7enefusebatchnormalization',['~NEFuseBatchNormalization',['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a19c2c9ac94f0fd6cd26cded1a35dbbbd',1,'arm_compute::NEFuseBatchNormalization']]],
+  ['_7enefusebatchnormalizationkernel',['~NEFuseBatchNormalizationKernel',['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a39e886f3f2e90491654510f16847ae73',1,'arm_compute::NEFuseBatchNormalizationKernel']]],
+  ['_7enegatherkernel',['~NEGatherKernel',['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a65836be4ebc8446260438e3b36d0a876',1,'arm_compute::NEGatherKernel']]],
   ['_7enegaussianpyramid',['~NEGaussianPyramid',['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#af34c199e11afef4c68af773a9fd40150',1,'arm_compute::NEGaussianPyramid']]],
   ['_7enegaussianpyramidhorkernel',['~NEGaussianPyramidHorKernel',['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#aa5030ad8be9a77dadfd6bca436fd16ad',1,'arm_compute::NEGaussianPyramidHorKernel']]],
   ['_7enegaussianpyramidvertkernel',['~NEGaussianPyramidVertKernel',['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a335e126153ef3b664bf56c3e8ad143de',1,'arm_compute::NEGaussianPyramidVertKernel']]],
   ['_7enegemmassemblybasekernel',['~NEGEMMAssemblyBaseKernel',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ad96826abb992a84e363bef7624a30f9b',1,'arm_compute::NEGEMMAssemblyBaseKernel']]],
   ['_7enegemmassemblydispatch',['~NEGEMMAssemblyDispatch',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#afb179bf025365e643205f19818c0100a',1,'arm_compute::NEGEMMAssemblyDispatch']]],
+  ['_7enegemminterleavedwrapper',['~NEGEMMInterleavedWrapper',['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a17fb5ffe8b9afd93d3edbee2b65d0318',1,'arm_compute::NEGEMMInterleavedWrapper']]],
   ['_7enegemmmatrixaccumulatebiaseskernel',['~NEGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#af26cd032cee8d8d035b8d5e52422f397',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel']]],
   ['_7enegradientkernel',['~NEGradientKernel',['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#aec72e1144d2cb538834aa369232de727',1,'arm_compute::NEGradientKernel']]],
   ['_7enehistogramkernel',['~NEHistogramKernel',['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4983480fbaa765aea4052cf5c28bf60e',1,'arm_compute::NEHistogramKernel']]],
@@ -211,6 +225,7 @@
   ['_7enelogits1dsoftmaxkernel',['~NELogits1DSoftmaxKernel',['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab9491e58324e5d408cfaa93cfb7f8bb6',1,'arm_compute::NELogits1DSoftmaxKernel']]],
   ['_7enemagnitudephasekernel',['~NEMagnitudePhaseKernel',['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a1bd4859d9eadb11c47c40235e2b4d044',1,'arm_compute::NEMagnitudePhaseKernel']]],
   ['_7enemeanstddevkernel',['~NEMeanStdDevKernel',['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ad18b8df3b46973ddb4196f5b31ef5356',1,'arm_compute::NEMeanStdDevKernel']]],
+  ['_7enememsetkernel',['~NEMemsetKernel',['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ae02c4ea02967e0ffbfb7b926ee825a9f',1,'arm_compute::NEMemsetKernel']]],
   ['_7eneminmaxkernel',['~NEMinMaxKernel',['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a84d717a70410510f56d4ed3ac2db60b1',1,'arm_compute::NEMinMaxKernel']]],
   ['_7eneminmaxlayerkernel',['~NEMinMaxLayerKernel',['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#aa517db8efb13c3f64c91e7ce2de9c5e7',1,'arm_compute::NEMinMaxLayerKernel']]],
   ['_7eneminmaxlocationkernel',['~NEMinMaxLocationKernel',['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a6ec01aa0ce619004282347747efb471e',1,'arm_compute::NEMinMaxLocationKernel']]],
@@ -220,17 +235,22 @@
   ['_7enepixelwisemultiplicationkernel',['~NEPixelWiseMultiplicationKernel',['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab299ab73ca304f9e10359a54a763f4d3',1,'arm_compute::NEPixelWiseMultiplicationKernel']]],
   ['_7enepoolinglayerkernel',['~NEPoolingLayerKernel',['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a3ce56b044278a877edbef5cff1768124',1,'arm_compute::NEPoolingLayerKernel']]],
   ['_7enequantizationlayerkernel',['~NEQuantizationLayerKernel',['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a0dcbebaa2af49b6b785329527a13e827',1,'arm_compute::NEQuantizationLayerKernel']]],
+  ['_7enerangekernel',['~NERangeKernel',['../classarm__compute_1_1_n_e_range_kernel.xhtml#aef59a9c88d3e923ec0874fc05e10f1e7',1,'arm_compute::NERangeKernel']]],
   ['_7enereductionoperationkernel',['~NEReductionOperationKernel',['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a5afc2a41b0f14471b4d358a79a1c10e3',1,'arm_compute::NEReductionOperationKernel']]],
   ['_7eneremapkernel',['~NERemapKernel',['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a6765950fc203ca7413dd78271664c779',1,'arm_compute::NERemapKernel']]],
   ['_7enereorglayerkernel',['~NEReorgLayerKernel',['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#abd84636b44d0f8109eed5bddbc065d15',1,'arm_compute::NEReorgLayerKernel']]],
+  ['_7enereversekernel',['~NEReverseKernel',['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a733d09ea91e4a1f5007b8b603558f744',1,'arm_compute::NEReverseKernel']]],
   ['_7eneroipoolinglayerkernel',['~NEROIPoolingLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a15aaaadedffa6445d6282c0b1f9005b3',1,'arm_compute::NEROIPoolingLayerKernel']]],
   ['_7enescalekernel',['~NEScaleKernel',['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a20422dd80d0c568f0c07730923a0d8d0',1,'arm_compute::NEScaleKernel']]],
   ['_7enescharr3x3kernel',['~NEScharr3x3Kernel',['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a40d29ef4a881c7f54f2c5ac7e59500fb',1,'arm_compute::NEScharr3x3Kernel']]],
+  ['_7eneselectkernel',['~NESelectKernel',['../classarm__compute_1_1_n_e_select_kernel.xhtml#a36a7c8b7ce7aa42aa636df782fca3156',1,'arm_compute::NESelectKernel']]],
   ['_7enesobel3x3kernel',['~NESobel3x3Kernel',['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#aff65aac9947b796380e33bc82a9795b5',1,'arm_compute::NESobel3x3Kernel']]],
   ['_7enesobel5x5horkernel',['~NESobel5x5HorKernel',['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9905eef5888d96ccddf9788adfadfcfb',1,'arm_compute::NESobel5x5HorKernel']]],
   ['_7enesobel5x5vertkernel',['~NESobel5x5VertKernel',['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#af8c29da1f0b11bd359b1574fbf86c1c8',1,'arm_compute::NESobel5x5VertKernel']]],
   ['_7enesobel7x7horkernel',['~NESobel7x7HorKernel',['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad4bba8f7619ade93cc4220dbcc72c35a',1,'arm_compute::NESobel7x7HorKernel']]],
   ['_7enesobel7x7vertkernel',['~NESobel7x7VertKernel',['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab4a932c9b556528a0de4fdf1afda7f8a',1,'arm_compute::NESobel7x7VertKernel']]],
+  ['_7enestacklayerkernel',['~NEStackLayerKernel',['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a57c57120bd65e89b16c6917c8c841602',1,'arm_compute::NEStackLayerKernel']]],
+  ['_7enestridedslicekernel',['~NEStridedSliceKernel',['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a5afcde753dfa40c775c4dd3a1ded3c86',1,'arm_compute::NEStridedSliceKernel']]],
   ['_7enesubtensorhandle',['~NESubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aa48a69a2b055209d7281f88cfb4b4ccc',1,'arm_compute::graph::backends::NESubTensorHandle']]],
   ['_7enetensorhandle',['~NETensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7ab0a61cbf616378316288ffde1b7e04',1,'arm_compute::graph::backends::NETensorHandle']]],
   ['_7enetransposekernel',['~NETransposeKernel',['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ad93ab145c1014c9cd71ba6612df96b3c',1,'arm_compute::NETransposeKernel']]],
diff --git a/documentation/search/functions_2.html b/documentation/search/functions_2.html
index ecce2f3..2b44474 100644
--- a/documentation/search/functions_2.html
+++ b/documentation/search/functions_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_2.js b/documentation/search/functions_2.js
index 78f2185..7f953ac 100644
--- a/documentation/search/functions_2.js
+++ b/documentation/search/functions_2.js
@@ -3,17 +3,22 @@
   ['caffepreproccessor',['CaffePreproccessor',['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a5cb89f99531ca5931b461835039fd655',1,'arm_compute::graph_utils::CaffePreproccessor']]],
   ['calculate_5favg_5fscale',['calculate_avg_scale',['../pooling__layer_8cl.xhtml#ac8f27d6ce33043a58fc6bd17b41f8153',1,'calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df',1,'calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer_quantized.cl']]],
   ['calculate_5favg_5fscale_5fnhwc',['calculate_avg_scale_nhwc',['../pooling__layer_8cl.xhtml#a93173b51e52924504320e874affcf881',1,'calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer.cl'],['../pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25',1,'calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y):&#160;pooling_layer_quantized.cl']]],
-  ['calculate_5fdepth_5fconcatenate_5fshape',['calculate_depth_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a90d6bd879f5e05b591dc58892348c65c',1,'arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7',1,'arm_compute::test::validation::calculate_depth_concatenate_shape()']]],
+  ['calculate_5fdepth_5fconcatenate_5fshape',['calculate_depth_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a4acdd230226c5888e773bbac3be74941',1,'arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7',1,'arm_compute::test::validation::calculate_depth_concatenate_shape()']]],
+  ['calculate_5fend_5fon_5findex',['calculate_end_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1',1,'arm_compute::helpers::tensor_transform']]],
   ['calculate_5fmatrix_5fscale',['calculate_matrix_scale',['../namespacearm__compute.xhtml#a0101a40c4a6acc2af3b55afa7632f16a',1,'arm_compute']]],
   ['calculate_5fmax_5fenlarged_5fwindow',['calculate_max_enlarged_window',['../namespacearm__compute.xhtml#affc1f59e0b2c29bf81e8c95bf0fa8e76',1,'arm_compute::calculate_max_enlarged_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#afcdda83b6a85d5798f08d92c0e235e2e',1,'arm_compute::calculate_max_enlarged_window(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), BorderSize border_size=BorderSize())']]],
   ['calculate_5fmax_5fwindow',['calculate_max_window',['../namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5',1,'arm_compute::calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#aa2117aef4381edbdf81e17ec088df7f1',1,'arm_compute::calculate_max_window(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())']]],
   ['calculate_5fmax_5fwindow_5fhorizontal',['calculate_max_window_horizontal',['../namespacearm__compute.xhtml#a9047a414d692d8814181a667a7ee68c4',1,'arm_compute::calculate_max_window_horizontal(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())'],['../namespacearm__compute.xhtml#a47456b4d520aee1cba80bf6e20f6685a',1,'arm_compute::calculate_max_window_horizontal(const ITensorInfo &amp;info, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())']]],
   ['calculate_5fquantized_5fmultiplier_5fgreater_5fthan_5fone',['calculate_quantized_multiplier_greater_than_one',['../namespacearm__compute_1_1quantization.xhtml#ae8bdc82ba415ef002ef1637b5cd02bbd',1,'arm_compute::quantization']]],
   ['calculate_5fquantized_5fmultiplier_5fless_5fthan_5fone',['calculate_quantized_multiplier_less_than_one',['../namespacearm__compute_1_1quantization.xhtml#a22032f9cf47deae265eafb65ff55b594',1,'arm_compute::quantization']]],
-  ['calculate_5fsame_5fpad',['calculate_same_pad',['../namespacearm__compute.xhtml#a60e358f879bf4ca86ad938d1f1ef9a64',1,'arm_compute']]],
+  ['calculate_5fsame_5fpad',['calculate_same_pad',['../namespacearm__compute.xhtml#a76d2c1e638da30c99ca2ff48051bcb04',1,'arm_compute']]],
+  ['calculate_5fstart_5fon_5findex',['calculate_start_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457',1,'arm_compute::helpers::tensor_transform']]],
+  ['calculate_5fstride_5fon_5findex',['calculate_stride_on_index',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e',1,'arm_compute::helpers::tensor_transform']]],
+  ['calculate_5fstrided_5fslice_5fcoords',['calculate_strided_slice_coords',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339',1,'arm_compute::helpers::tensor_transform']]],
   ['calculate_5fsubsampled_5fshape',['calculate_subsampled_shape',['../namespacearm__compute.xhtml#a9d714e1b7d9d7818309138b7d830ebcb',1,'arm_compute']]],
+  ['calculate_5funstack_5fshape',['calculate_unstack_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#acedb0877d41f2ae0591a2d4e84318140',1,'arm_compute::misc::shape_calculator']]],
   ['calculate_5fvalid_5fregion_5fscale',['calculate_valid_region_scale',['../namespacearm__compute.xhtml#a45509a321422cd1542958b5c33021bda',1,'arm_compute']]],
-  ['calculate_5fwidth_5fconcatenate_5fshape',['calculate_width_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad98c5b23d8630ce7b15c961992fd3dac',1,'arm_compute::misc::shape_calculator::calculate_width_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c',1,'arm_compute::test::validation::calculate_width_concatenate_shape()']]],
+  ['calculate_5fwidth_5fconcatenate_5fshape',['calculate_width_concatenate_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a333e4da262f8d985e8f9ab2c39a9c3f3',1,'arm_compute::misc::shape_calculator::calculate_width_concatenate_shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c',1,'arm_compute::test::validation::calculate_width_concatenate_shape()']]],
   ['calculator',['calculator',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9374ade0a8f9d2e8b1831942a2247700',1,'arm_compute::test::validation']]],
   ['call_5faccessor',['call_accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a88d65b04d950e6aba147624fcd308b34',1,'arm_compute::graph::Tensor']]],
   ['call_5fall_5fconst_5fnode_5faccessors',['call_all_const_node_accessors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a6f2e226c8b1e478b0162c3d9327b032e',1,'arm_compute::graph::detail']]],
@@ -49,6 +54,7 @@
   ['channelshufflelayer',['ChannelShuffleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#aff5aec1faefad58676969dcb1f5b7b5b',1,'arm_compute::graph::frontend::ChannelShuffleLayer']]],
   ['channelshufflelayernode',['ChannelShuffleLayerNode',['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a7c3cc634216bd521da05fce5ba8e699a',1,'arm_compute::graph::ChannelShuffleLayerNode']]],
   ['check_5faligned',['check_aligned',['../namespacearm__compute_1_1utility.xhtml#a9eed476cf46a22a3ce6ebd8ba22e8945',1,'arm_compute::utility']]],
+  ['check_5fvalue_5frange',['check_value_range',['../namespacearm__compute.xhtml#ad4fb37558f66dd33689292aebf4f843c',1,'arm_compute']]],
   ['cl_5fbuffer',['cl_buffer',['../classarm__compute_1_1_i_c_l_array.xhtml#a1fb4c50755a0ef424652246838ed91a6',1,'arm_compute::ICLArray::cl_buffer()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#aea577b83a6734249a78ac036a23d5c6b',1,'arm_compute::ICLDistribution1D::cl_buffer()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a1fb4c50755a0ef424652246838ed91a6',1,'arm_compute::ICLHOG::cl_buffer()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a1fb4c50755a0ef424652246838ed91a6',1,'arm_compute::ICLLut::cl_buffer()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a1fb4c50755a0ef424652246838ed91a6',1,'arm_compute::ICLTensor::cl_buffer()'],['../classarm__compute_1_1_c_l_array.xhtml#afd44a3d7dad6d984b1b87bc9f1b4fa02',1,'arm_compute::CLArray::cl_buffer()'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a454323653553eb092330e739ce3882eb',1,'arm_compute::CLDistribution1D::cl_buffer()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a53c338c0d76f41c472cdbf66fafdfe91',1,'arm_compute::CLHOG::cl_buffer()'],['../classarm__compute_1_1_c_l_lut.xhtml#a53c338c0d76f41c472cdbf66fafdfe91',1,'arm_compute::CLLut::cl_buffer()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a53c338c0d76f41c472cdbf66fafdfe91',1,'arm_compute::CLSubTensor::cl_buffer()'],['../classarm__compute_1_1_c_l_tensor.xhtml#a53c338c0d76f41c472cdbf66fafdfe91',1,'arm_compute::CLTensor::cl_buffer()']]],
   ['cl_5fdata',['cl_data',['../classarm__compute_1_1_c_l_lut_allocator.xhtml#ac7e247b94ceae35db2a172961ab83df9',1,'arm_compute::CLLutAllocator::cl_data()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#ac7e247b94ceae35db2a172961ab83df9',1,'arm_compute::ICLMemoryRegion::cl_data()'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#ac7e247b94ceae35db2a172961ab83df9',1,'arm_compute::CLTensorAllocator::cl_data()']]],
   ['cl_5fmodel',['cl_model',['../classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#a5ae9e122f1b39908b8602cc0acc035c8',1,'arm_compute::ICLMultiHOG::cl_model(size_t index)=0'],['../classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml#aec23164646e42c512d783eda60017f7e',1,'arm_compute::ICLMultiHOG::cl_model(size_t index) const =0'],['../classarm__compute_1_1_c_l_multi_h_o_g.xhtml#adad8ea183b0bc45d9d515f3ed451e24c',1,'arm_compute::CLMultiHOG::cl_model(size_t index) override'],['../classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a05569ca23835d0f5bad14e689c83a159',1,'arm_compute::CLMultiHOG::cl_model(size_t index) const override']]],
@@ -58,14 +64,12 @@
   ['clabsolutedifferencekernel',['CLAbsoluteDifferenceKernel',['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a90fe1fcc6639b16092a2828df51e4b16',1,'arm_compute::CLAbsoluteDifferenceKernel::CLAbsoluteDifferenceKernel()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a4e8adca56a51ba8db455f099931cc857',1,'arm_compute::CLAbsoluteDifferenceKernel::CLAbsoluteDifferenceKernel(const CLAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a2bf2c8f0611c9130e938c7013d513152',1,'arm_compute::CLAbsoluteDifferenceKernel::CLAbsoluteDifferenceKernel(CLAbsoluteDifferenceKernel &amp;&amp;)=default']]],
   ['claccessor',['CLAccessor',['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2',1,'arm_compute::test::CLAccessor::CLAccessor(CLTensor &amp;tensor)'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aa98a3d37502ebf678a8aad8e195e7b03',1,'arm_compute::test::CLAccessor::CLAccessor(const CLAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a718844e027a5d3e5000b0f4879be4e3a',1,'arm_compute::test::CLAccessor::CLAccessor(CLAccessor &amp;&amp;)=default']]],
   ['clactivationlayerkernel',['CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a25c6b2015d9ec0c05a1f561458b445f0',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a2d9fc9303a06c1a3748551b1730c128c',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a2ae4c0bb246318d6c9de355ded04f218',1,'arm_compute::CLActivationLayerKernel::CLActivationLayerKernel(CLActivationLayerKernel &amp;&amp;)=default']]],
-  ['clamp',['clamp',['../namespacearm__compute_1_1utility.xhtml#a12c3c62f510452805c289e180ec78bb7',1,'arm_compute::utility']]],
+  ['clamp',['clamp',['../namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624',1,'arm_compute::utility']]],
   ['clamp_5fto_5fborder',['clamp_to_border',['../warp__helpers_8h.xhtml#adbdf2ca9e8fe0b67f9359929ef743126',1,'warp_helpers.h']]],
   ['clamp_5fto_5fborder_5fquantized',['clamp_to_border_quantized',['../warp__helpers__quantized_8h.xhtml#a33c81135c18bd3881c3f5f36c25fe499',1,'warp_helpers_quantized.h']]],
   ['clamp_5fto_5fborder_5fwith_5fsize',['clamp_to_border_with_size',['../warp__helpers_8h.xhtml#aaef9851523cbc6f833700f0eb572002b',1,'warp_helpers.h']]],
   ['clamp_5fto_5fborder_5fwith_5fsize_5fquantized',['clamp_to_border_with_size_quantized',['../warp__helpers__quantized_8h.xhtml#aafa351a2c35f5f121921cee080c223d6',1,'warp_helpers_quantized.h']]],
-  ['clarithmeticadditionkernel',['CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#acf31277f55278d3b74ad6d2c5736801f',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a3caa56068548edba48b0f403fa4bfe52',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel(const CLArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#acda70274c0c028a5d82e407143cfc183',1,'arm_compute::CLArithmeticAdditionKernel::CLArithmeticAdditionKernel(CLArithmeticAdditionKernel &amp;&amp;)=default']]],
-  ['clarithmeticdivisionkernel',['CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a37f82a3ebd082f363351967d27a6a574',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a24fbe10bbd3e395c17d6c367fc848956',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel(const CLArithmeticDivisionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#a6678fe2133063d1333069662ab0849ca',1,'arm_compute::CLArithmeticDivisionKernel::CLArithmeticDivisionKernel(CLArithmeticDivisionKernel &amp;&amp;)=default']]],
-  ['clarithmeticsubtractionkernel',['CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a9ab43fc014673aea8868c688f6ec07ef',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#acd0869ac17d2545d90808d792bb14ac7',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel(const CLArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#ac549d82dafac3de42b50cdf6d5d2131f',1,'arm_compute::CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel(CLArithmeticSubtractionKernel &amp;&amp;)=default']]],
+  ['clarithmeticoperationkernel',['CLArithmeticOperationKernel',['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#af9d6d899047862af33fc919a1dcb35eb',1,'arm_compute::CLArithmeticOperationKernel']]],
   ['clarray',['CLArray',['../classarm__compute_1_1_c_l_array.xhtml#a7f8aa474d5cad1e1ab2aa1e597af4bf0',1,'arm_compute::CLArray::CLArray()'],['../classarm__compute_1_1_c_l_array.xhtml#aa5da2a7afb0be8e26c7159bce08bd897',1,'arm_compute::CLArray::CLArray(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#ac0353b2d5060b253f993b65804edb316',1,'arm_compute::CLArray::CLArray(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#aaa923d0abf2a3a5722a728f39411ad07',1,'arm_compute::CLArray::CLArray(size_t max_num_values)']]],
   ['clarrayaccessor',['CLArrayAccessor',['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a37b446cf629a04c7f1551e6e59b189cf',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(CLArray&lt; T &gt; &amp;array)'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a3513c433cf985dba83ce8a10621ffed3',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a4b221eb6997212f017221e3916c7cfa8',1,'arm_compute::test::CLArrayAccessor::CLArrayAccessor(CLArrayAccessor &amp;&amp;)=default']]],
   ['clbatchnormalizationlayer',['CLBatchNormalizationLayer',['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#aa75c9e345235e7031d6489425e53645a',1,'arm_compute::CLBatchNormalizationLayer']]],
@@ -87,6 +91,7 @@
   ['clcoarsesvmmemoryregion',['CLCoarseSVMMemoryRegion',['../classarm__compute_1_1_c_l_coarse_s_v_m_memory_region.xhtml#a182dcd5285b61d6a67a16cc5bb7b435a',1,'arm_compute::CLCoarseSVMMemoryRegion']]],
   ['clcol2imkernel',['CLCol2ImKernel',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#aecb71bc3c3ce77c0b4859c212b86639a',1,'arm_compute::CLCol2ImKernel::CLCol2ImKernel()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a120788bc0a0275c12eeea4a5eebab35a',1,'arm_compute::CLCol2ImKernel::CLCol2ImKernel(const CLCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a7cc3dc3b86902aa2fbbee6492bbd037e',1,'arm_compute::CLCol2ImKernel::CLCol2ImKernel(CLCol2ImKernel &amp;&amp;)=default']]],
   ['clcolorconvertkernel',['CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a4844aa081e1ca7adaf70257a962edfab',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#af355eadf00071679d1001308ee475969',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a936b4be67679ecbe92d21224301579a9',1,'arm_compute::CLColorConvertKernel::CLColorConvertKernel(CLColorConvertKernel &amp;&amp;)=default']]],
+  ['clcomparisonkernel',['CLComparisonKernel',['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#af727ecec8e36519d9369dbee5a0aa10a',1,'arm_compute::CLComparisonKernel::CLComparisonKernel()'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a409286ecf8c2ffb79f218f7dc24676d2',1,'arm_compute::CLComparisonKernel::CLComparisonKernel(const CLComparisonKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a11b186c4a2b41c6a7cd562b2990a26b1',1,'arm_compute::CLComparisonKernel::CLComparisonKernel(CLComparisonKernel &amp;&amp;)=default']]],
   ['clcomputeallanchorskernel',['CLComputeAllAnchorsKernel',['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#af1cddcb118a3ae105a62326152694be0',1,'arm_compute::CLComputeAllAnchorsKernel::CLComputeAllAnchorsKernel()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a4aaba95024a47f19a87894e21ef6022b',1,'arm_compute::CLComputeAllAnchorsKernel::CLComputeAllAnchorsKernel(const CLComputeAllAnchorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#af0fd9bdfe43a1f811b2dd2c2160c5b31',1,'arm_compute::CLComputeAllAnchorsKernel::CLComputeAllAnchorsKernel(CLComputeAllAnchorsKernel &amp;&amp;)=default']]],
   ['clconcatenatelayer',['CLConcatenateLayer',['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#ab5149d6d9cfac72e0d1f7c83045bb079',1,'arm_compute::CLConcatenateLayer']]],
   ['clconvertfullyconnectedweightskernel',['CLConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#afccf9b2ebcad0e6b3049b138fb6b800b',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::CLConvertFullyConnectedWeightsKernel()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a276365465380acd4895fcca8b0728583',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::CLConvertFullyConnectedWeightsKernel(const CLConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#abefbd1158e991162e055ae30176b8f85',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::CLConvertFullyConnectedWeightsKernel(CLConvertFullyConnectedWeightsKernel &amp;&amp;)=default']]],
@@ -109,13 +114,14 @@
   ['cldepthconcatenatelayer',['CLDepthConcatenateLayer',['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a59330f009ee600700828b178f60a9b58',1,'arm_compute::CLDepthConcatenateLayer']]],
   ['cldepthconcatenatelayerkernel',['CLDepthConcatenateLayerKernel',['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a8e3fa88d9dd4a7d185096527ed7c5be4',1,'arm_compute::CLDepthConcatenateLayerKernel::CLDepthConcatenateLayerKernel()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a9afc12cb3ac99d02fae17cc1302f061a',1,'arm_compute::CLDepthConcatenateLayerKernel::CLDepthConcatenateLayerKernel(const CLDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a6252726d518bde60820e3d6a86ebc6aa',1,'arm_compute::CLDepthConcatenateLayerKernel::CLDepthConcatenateLayerKernel(CLDepthConcatenateLayerKernel &amp;&amp;)=default']]],
   ['cldepthwiseconvolutionlayer',['CLDepthwiseConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a0d4e3a90bcdef691edfe09c701088e74',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a91056f09fefa0be08223e916425b827d',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a5b2efd4922b45d088b93a16b83edc78c',1,'arm_compute::CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(CLDepthwiseConvolutionLayer &amp;&amp;)=default']]],
-  ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a7dd467b8b44b5e4cf6cdefe807a874b3',1,'arm_compute::CLDepthwiseConvolutionLayer3x3']]],
+  ['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ac2d0894cb8f94dccd20d71ed5140a70c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ab98e7a9e71a4ca2fbd69aeb117697283',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(const CLDepthwiseConvolutionLayer3x3 &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#adc762e3201b5fc3e66102b3150eb03d4',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(CLDepthwiseConvolutionLayer3x3 &amp;&amp;)=default']]],
   ['cldepthwiseconvolutionlayer3x3nchwkernel',['CLDepthwiseConvolutionLayer3x3NCHWKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#affbc30547225b3ad1155336a4c6c000c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel']]],
   ['cldepthwiseconvolutionlayer3x3nhwckernel',['CLDepthwiseConvolutionLayer3x3NHWCKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a038c33f24c5a9e19f99dd5565f2341ca',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel']]],
+  ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a56fa578d444eccfed99d7357a7cff025',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a06df1b823eadb190263406f4d0ec409f',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel(const CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a1e062c27cbc4616bdfc0b54758bee26e',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel(CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;&amp;)=default']]],
+  ['cldepthwiseconvolutionlayerreshapeweightskernel',['CLDepthwiseConvolutionLayerReshapeWeightsKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a141238606fbb4cf68e39c945478fac80',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#af668857be9ceb43d4b288180e7ab7ef7',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel(const CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a35e3321a8be273d787da9866c27450fb',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel(CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;&amp;)=default']]],
   ['cldepthwiseim2colkernel',['CLDepthwiseIm2ColKernel',['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a8c127dc1b50728c479d63a7347926920',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a5b6cbd351d95ec688c6771fafed56e6f',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#abc62f33ff91e3178810bda77da7e0a57',1,'arm_compute::CLDepthwiseIm2ColKernel::CLDepthwiseIm2ColKernel(CLDepthwiseIm2ColKernel &amp;&amp;)=default']]],
   ['cldepthwiseseparableconvolutionlayer',['CLDepthwiseSeparableConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#aba650e8a288373c9dac19a4bb36c28bd',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer']]],
   ['cldepthwisevectortotensorkernel',['CLDepthwiseVectorToTensorKernel',['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#ad57d6082a0e790ddc0fd66063ffbbc86',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a03b77603c8bda9e9c873aa120016ca9c',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a084d7e99f8a194226d6551ed63fcce61',1,'arm_compute::CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default']]],
-  ['cldepthwiseweightsreshapekernel',['CLDepthwiseWeightsReshapeKernel',['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a68723f2975daa41357f7021452fb344b',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a68f3b41840ca2faa0c759a518a858169',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel(const CLDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a8c79af1ae1a1e433675bf152ff8c4330',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::CLDepthwiseWeightsReshapeKernel(CLDepthwiseWeightsReshapeKernel &amp;&amp;)=default']]],
   ['cldequantizationlayer',['CLDequantizationLayer',['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#adaff01149002af4e16a6ab19bb785902',1,'arm_compute::CLDequantizationLayer::CLDequantizationLayer()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a0a498fb264f4d607c52cc481397dd745',1,'arm_compute::CLDequantizationLayer::CLDequantizationLayer(const CLDequantizationLayer &amp;)=delete']]],
   ['cldequantizationlayerkernel',['CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a126f5beb6dc874a89d5da5fcc7589565',1,'arm_compute::CLDequantizationLayerKernel::CLDequantizationLayerKernel()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a53c08a68f83068902992a8d0d5f2d03f',1,'arm_compute::CLDequantizationLayerKernel::CLDequantizationLayerKernel(const CLDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ab475d3d6b3279119cb22ac054bbd0ec1',1,'arm_compute::CLDequantizationLayerKernel::CLDequantizationLayerKernel(CLDequantizationLayerKernel &amp;&amp;)=default']]],
   ['clderivativekernel',['CLDerivativeKernel',['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a70712b2131aad30e1abd393799c6fa25',1,'arm_compute::CLDerivativeKernel::CLDerivativeKernel()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a772202e263f323ab3f5c6e1066e0e4f9',1,'arm_compute::CLDerivativeKernel::CLDerivativeKernel(const CLDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#ac3a2c95536dfbe4ea71e3c1441cd2960',1,'arm_compute::CLDerivativeKernel::CLDerivativeKernel(CLDerivativeKernel &amp;&amp;)=default']]],
@@ -132,6 +138,7 @@
   ['clear_5ftest_5finfo',['clear_test_info',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#afb6a973ccd27225a87d59d93ca458720',1,'arm_compute::test::framework::Framework']]],
   ['cledgenonmaxsuppressionkernel',['CLEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a594c3386342734f366460fccc6171c98',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::CLEdgeNonMaxSuppressionKernel()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a9582b4541bbf86edf4f564ddd430af4b',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::CLEdgeNonMaxSuppressionKernel(const CLEdgeNonMaxSuppressionKernel &amp;)=delete']]],
   ['cledgetracekernel',['CLEdgeTraceKernel',['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a148f844f5f772a8f9748b497e2b01615',1,'arm_compute::CLEdgeTraceKernel::CLEdgeTraceKernel()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a420e0af90c5d9c001b895f479e311a56',1,'arm_compute::CLEdgeTraceKernel::CLEdgeTraceKernel(const CLEdgeTraceKernel &amp;)=delete']]],
+  ['clelementwiseoperationkernel',['CLElementwiseOperationKernel',['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#aea9d74134fe47de37e4162a905d5bba9',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel()'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#acf806d200f910152564b54aec8296508',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel(const CLElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#aa64b683c639684a1c4e581e5f91eb3c2',1,'arm_compute::CLElementwiseOperationKernel::CLElementwiseOperationKernel(CLElementwiseOperationKernel &amp;&amp;)=default']]],
   ['clenqueuemapbuffer',['clEnqueueMapBuffer',['../_open_c_l_8cpp.xhtml#a9039d2fa3d129a08baa1c49abf2f07fb',1,'OpenCL.cpp']]],
   ['clenqueuemarker',['clEnqueueMarker',['../_open_c_l_8cpp.xhtml#a43d9a36e38a16e503e0bbdc7b2f81f12',1,'OpenCL.cpp']]],
   ['clenqueuendrangekernel',['clEnqueueNDRangeKernel',['../_open_c_l_8cpp.xhtml#a0152f4b089c26f22f032162d0b7a0d21',1,'OpenCL.cpp']]],
@@ -152,6 +159,7 @@
   ['clfullyconnectedlayer',['CLFullyConnectedLayer',['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a5f5f7b33836b21106eb116050ddf1401',1,'arm_compute::CLFullyConnectedLayer::CLFullyConnectedLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8dcd28ed9671e3e8d6bb5a8b6e35e21c',1,'arm_compute::CLFullyConnectedLayer::CLFullyConnectedLayer(const CLFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a306b9cb4657550df587d17d095e4c586',1,'arm_compute::CLFullyConnectedLayer::CLFullyConnectedLayer(CLFullyConnectedLayer &amp;&amp;)=default']]],
   ['clfusebatchnormalization',['CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a19d9f9058216fe0974699a8ff209338a',1,'arm_compute::CLFuseBatchNormalization::CLFuseBatchNormalization()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a1dc49a55916185cd32e39719e49f0115',1,'arm_compute::CLFuseBatchNormalization::CLFuseBatchNormalization(const CLFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a5a9980d776742dfc14a1e4a09af24bc5',1,'arm_compute::CLFuseBatchNormalization::CLFuseBatchNormalization(CLFuseBatchNormalization &amp;&amp;)=default']]],
   ['clfusebatchnormalizationkernel',['CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a61eeb0b6bee8d0fcaef769af0954bc09',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#af9fc5f28abe40d7f4708210577e17339',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#ab1716898281973b7ac089e16d5c546b6',1,'arm_compute::CLFuseBatchNormalizationKernel::CLFuseBatchNormalizationKernel(CLFuseBatchNormalizationKernel &amp;&amp;)=default']]],
+  ['clgatherkernel',['CLGatherKernel',['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a16fb805daf89361b5b4a79e97f13c550',1,'arm_compute::CLGatherKernel::CLGatherKernel()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#ae659f9f8c883f964ccccaf8cd499e5e9',1,'arm_compute::CLGatherKernel::CLGatherKernel(const CLGatherKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a1dc5b5e36d930aa3f6cdbafa248a5635',1,'arm_compute::CLGatherKernel::CLGatherKernel(CLGatherKernel &amp;&amp;)=default']]],
   ['clgaussian5x5',['CLGaussian5x5',['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#a3fbe627108a2407f2a1b37a54eb33067',1,'arm_compute::CLGaussian5x5']]],
   ['clgaussianpyramid',['CLGaussianPyramid',['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#a0254b4991bee72d364bd7c28cc674db5',1,'arm_compute::CLGaussianPyramid::CLGaussianPyramid()'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#ab55e57361d83b1cc2514d4b64f2ccec6',1,'arm_compute::CLGaussianPyramid::CLGaussianPyramid(const CLGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#a8c57d617c3dd6f7c04c77231dc5928f0',1,'arm_compute::CLGaussianPyramid::CLGaussianPyramid(CLGaussianPyramid &amp;&amp;)=default']]],
   ['clgaussianpyramidhalf',['CLGaussianPyramidHalf',['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#ac2d6975f7677ae5079004191a6a80968',1,'arm_compute::CLGaussianPyramidHalf']]],
@@ -163,6 +171,7 @@
   ['clgemminterleave4x4kernel',['CLGEMMInterleave4x4Kernel',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a4023b128129764d7d24882a5642fe49f',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a9f747ba6cad1650cd0184041de875411',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56f2f1474dd673f0f8d9df3ce377f33d',1,'arm_compute::CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel(CLGEMMInterleave4x4Kernel &amp;&amp;)=default']]],
   ['clgemmlowpmatrixmultiplycore',['CLGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1c3a177d5a3188691c9946e1a78839d0',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::CLGEMMLowpMatrixMultiplyCore(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a2b852c25814761d88777ac125ddf3871',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::CLGEMMLowpMatrixMultiplyCore(const CLGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aabdfdb326287afbf62a2674068c89779',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::CLGEMMLowpMatrixMultiplyCore(CLGEMMLowpMatrixMultiplyCore &amp;&amp;)=default']]],
   ['clgemmlowpmatrixmultiplykernel',['CLGEMMLowpMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a759d01d5376a17c7b81131212588810a',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a5f55c40f31bba46fa72429c820ff8139',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#afdcbb16be23445f565801d54201c9b1d',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default']]],
+  ['clgemmlowpmatrixmultiplyreshapedkernel',['CLGEMMLowpMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#af7c1cf2778fc2159d1336d6448c419b9',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#aa04900785e36c7784e44a775bccc4238',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel(const CLGEMMLowpMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a5cadcffcb9b16ece1b1a4455031d5133',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::CLGEMMLowpMatrixMultiplyReshapedKernel(CLGEMMLowpMatrixMultiplyReshapedKernel &amp;&amp;)=default']]],
   ['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#af9118245ab756bce27f29a5869b8e824',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a7447eaf5064d966d8c92b4cdc1e9e129',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a72ea70be863cd3f4f4239df7e8c37bcb',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default']]],
   ['clgemmlowpoffsetcontributionoutputstagekernel',['CLGEMMLowpOffsetContributionOutputStageKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#ad13d9bf75d0bf932ec94098c3f21c780',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::CLGEMMLowpOffsetContributionOutputStageKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#ad3db4eb8697adb7908788ea749433b96',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::CLGEMMLowpOffsetContributionOutputStageKernel(const CLGEMMLowpOffsetContributionOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a0f72dc6d98ef912bf5871f3b79efb4d5',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::CLGEMMLowpOffsetContributionOutputStageKernel(CLGEMMLowpOffsetContributionOutputStageKernel &amp;&amp;)=default']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointkernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a48634394ac631876524f3b4e4e5ce5f7',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a79d13d3c8494ed363bf1c2e15d7a4a3e',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a11ab8445ca6b369c2ee6e26ad990bfab',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default']]],
@@ -171,7 +180,10 @@
   ['clgemmmatrixaccumulatebiaseskernel',['CLGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a426791a071d27ffff5062e51fffac075',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a4d630279a30875fdd3814fd93d0386e3',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel(const CLGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a5bca3bc1430f853bb9254141596f4f22',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel(CLGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default']]],
   ['clgemmmatrixadditionkernel',['CLGEMMMatrixAdditionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a03d036e8e66cf1c8128c921bbca897a7',1,'arm_compute::CLGEMMMatrixAdditionKernel::CLGEMMMatrixAdditionKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a9e75cac7f23a70ebbb9369eaf45ac0e5',1,'arm_compute::CLGEMMMatrixAdditionKernel::CLGEMMMatrixAdditionKernel(const CLGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a91309d4cb7c55ed2695535421fa4346d',1,'arm_compute::CLGEMMMatrixAdditionKernel::CLGEMMMatrixAdditionKernel(CLGEMMMatrixAdditionKernel &amp;&amp;)=default']]],
   ['clgemmmatrixmultiplykernel',['CLGEMMMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ac46a1c8a20b46838c9e894f703ddd3ee',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#ab7ab139607e3a7812f2a7eb941ac7aa8',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a4805eb2e5f4597f660f41753e9748eb8',1,'arm_compute::CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default']]],
+  ['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5601cf101c7a07fa844af0d0563a1766',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel(const CLGEMMMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ad23a3656538e734ccfc02d83739002ad',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel(CLGEMMMatrixMultiplyReshapedKernel &amp;&amp;)=default']]],
   ['clgemmmatrixvectormultiplykernel',['CLGEMMMatrixVectorMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a197b8558b1806d275f421b0667d201b2',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a0921fc687913f0f60f8bce6e64acc193',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a99227cdd269f8843bc11a5f3ca64ac2e',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default']]],
+  ['clgemmreshapelhsmatrixkernel',['CLGEMMReshapeLHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ac255562bb8d6f74e1fe027183ee998d1',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a36bd4d2a7859f1415d92760fb01bf093',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel(const CLGEMMReshapeLHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#a52464943a5cce8670525712841a0c8e0',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel(CLGEMMReshapeLHSMatrixKernel &amp;&amp;)=default']]],
+  ['clgemmreshaperhsmatrixkernel',['CLGEMMReshapeRHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a9b7ed5232110c8f5e090bda81bfb8734',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a97a35a0d17de348433787eac2c4b473b',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel(const CLGEMMReshapeRHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#abdba40561ddcd1c978c4637d1b55fa97',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::CLGEMMReshapeRHSMatrixKernel(CLGEMMReshapeRHSMatrixKernel &amp;&amp;)=default']]],
   ['clgenerateproposalslayer',['CLGenerateProposalsLayer',['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a5238a3faae0338e0f8cba6d62e1ad94e',1,'arm_compute::CLGenerateProposalsLayer::CLGenerateProposalsLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#aad2d6025076a24e0e33a7f20b8055833',1,'arm_compute::CLGenerateProposalsLayer::CLGenerateProposalsLayer(const CLGenerateProposalsLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a7d3a21fc5003e0adb4414827733eb008',1,'arm_compute::CLGenerateProposalsLayer::CLGenerateProposalsLayer(CLGenerateProposalsLayer &amp;&amp;)=default']]],
   ['clgetcommandqueueinfo',['clGetCommandQueueInfo',['../_open_c_l_8cpp.xhtml#ad3379de4b5bac534f2e0197d0e53393b',1,'OpenCL.cpp']]],
   ['clgetcontextinfo',['clGetContextInfo',['../_open_c_l_8cpp.xhtml#a4bd1918b00ed6da1c8ed84bf4251f963',1,'OpenCL.cpp']]],
@@ -247,6 +259,7 @@
   ['clpyramid',['CLPyramid',['../classarm__compute_1_1_c_l_pyramid.xhtml#a24edddb8cac90e092ecbd4a2d2a1ce59',1,'arm_compute::CLPyramid']]],
   ['clquantizationlayer',['CLQuantizationLayer',['../classarm__compute_1_1_c_l_quantization_layer.xhtml#af4032433e87b3c30aeb5c8ad5156a432',1,'arm_compute::CLQuantizationLayer']]],
   ['clquantizationlayerkernel',['CLQuantizationLayerKernel',['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#aec2ad990f91ebeb1c5e26426bcb9529c',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ae373227f8bc0d4c1b27f66dedaf53bca',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a286b89c8e3f1d6bb5d79bab789cfaa64',1,'arm_compute::CLQuantizationLayerKernel::CLQuantizationLayerKernel(CLQuantizationLayerKernel &amp;&amp;)=default']]],
+  ['clrangekernel',['CLRangeKernel',['../classarm__compute_1_1_c_l_range_kernel.xhtml#a50be5f1cf9b8b007d81d5d6a7f72dd7c',1,'arm_compute::CLRangeKernel::CLRangeKernel()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#aee4539855a0e6fc12b7ef43f38f37bb2',1,'arm_compute::CLRangeKernel::CLRangeKernel(const CLRangeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a5d63bb7b49deb8c8aa15b0b687ab3b64',1,'arm_compute::CLRangeKernel::CLRangeKernel(CLRangeKernel &amp;&amp;)=default']]],
   ['clreducemean',['CLReduceMean',['../classarm__compute_1_1_c_l_reduce_mean.xhtml#a52ad5d98289e302906ddd47b2f79d121',1,'arm_compute::CLReduceMean']]],
   ['clreductionoperation',['CLReductionOperation',['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a0e1e0cc8ceb412f8809d5fabf037d7ae',1,'arm_compute::CLReductionOperation']]],
   ['clreductionoperationkernel',['CLReductionOperationKernel',['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#aa037c3742d874eab9ba733ee60ef145d',1,'arm_compute::CLReductionOperationKernel::CLReductionOperationKernel()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a306bc57c92841ea6a971f5e238c3762b',1,'arm_compute::CLReductionOperationKernel::CLReductionOperationKernel(const CLReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#ab842f396c542ac5f5eb4d3d16ae058bf',1,'arm_compute::CLReductionOperationKernel::CLReductionOperationKernel(CLReductionOperationKernel &amp;&amp;)=default']]],
@@ -265,10 +278,13 @@
   ['clretainkernel',['clRetainKernel',['../_open_c_l_8cpp.xhtml#a617b60a00661fe3a03749b6b9913d006',1,'OpenCL.cpp']]],
   ['clretainmemobject',['clRetainMemObject',['../_open_c_l_8cpp.xhtml#a2c88e252bef66c05807260b013a725de',1,'OpenCL.cpp']]],
   ['clretainprogram',['clRetainProgram',['../_open_c_l_8cpp.xhtml#aa0cc01b2f6b15bbab28eb38d6f29f184',1,'OpenCL.cpp']]],
+  ['clreversekernel',['CLReverseKernel',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a5cab449b84dd2093751fe5dbf640c3df',1,'arm_compute::CLReverseKernel::CLReverseKernel()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a97dd320dd2aada86c82939ff9f0d4fb6',1,'arm_compute::CLReverseKernel::CLReverseKernel(const CLReverseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#ad4708e344eb9134c5079810b799695e4',1,'arm_compute::CLReverseKernel::CLReverseKernel(CLReverseKernel &amp;&amp;)=default']]],
   ['clrnnlayer',['CLRNNLayer',['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac511e3c07ea1ec0652dc67a18a4cef13',1,'arm_compute::CLRNNLayer']]],
   ['clroialignlayerkernel',['CLROIAlignLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a65c6631b10442806796d7fcc7ab39c5c',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#aaa85d2808584f66767509f6d786c2ecb',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a36c46c97422b00825e4fd069edb50ffc',1,'arm_compute::CLROIAlignLayerKernel::CLROIAlignLayerKernel(CLROIAlignLayerKernel &amp;&amp;)=default']]],
   ['clroipoolinglayerkernel',['CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#ab49afa77253c012ae4c535a7bffc6ada',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2b00f64685a084591f3312f5b45711af',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a17458252791372f85abf58b3832a5a43',1,'arm_compute::CLROIPoolingLayerKernel::CLROIPoolingLayerKernel(CLROIPoolingLayerKernel &amp;&amp;)=default']]],
+  ['clsaturatedarithmeticoperationkernel',['CLSaturatedArithmeticOperationKernel',['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#a3423d0d350bccafebaed646e19ea8a57',1,'arm_compute::CLSaturatedArithmeticOperationKernel']]],
   ['clscharr3x3kernel',['CLScharr3x3Kernel',['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#aca3036ac865b6a36d00babf0c0e37f5b',1,'arm_compute::CLScharr3x3Kernel::CLScharr3x3Kernel()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#aa07a61f15f6269f45e19489a95c9224d',1,'arm_compute::CLScharr3x3Kernel::CLScharr3x3Kernel(const CLScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#abce0bd975f2f2ea4b70aedd72685edc1',1,'arm_compute::CLScharr3x3Kernel::CLScharr3x3Kernel(CLScharr3x3Kernel &amp;&amp;)=default']]],
+  ['clselectkernel',['CLSelectKernel',['../classarm__compute_1_1_c_l_select_kernel.xhtml#aa64580d6cfd76006486bb2a437593a9d',1,'arm_compute::CLSelectKernel::CLSelectKernel()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a3606ef6cca613307feb217e549e0d7f4',1,'arm_compute::CLSelectKernel::CLSelectKernel(const CLSelectKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#a3d0371c3887f3cc8cb50bd961b97d368',1,'arm_compute::CLSelectKernel::CLSelectKernel(CLSelectKernel &amp;&amp;)=default']]],
   ['clseparableconvolutionhorkernel',['CLSeparableConvolutionHorKernel',['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a94525a39744fe15630e1e9304042ca8f',1,'arm_compute::CLSeparableConvolutionHorKernel']]],
   ['clsetkernelarg',['clSetKernelArg',['../_open_c_l_8cpp.xhtml#a3945f28bb1b23afb00a87801136271e9',1,'OpenCL.cpp']]],
   ['clsobel3x3kernel',['CLSobel3x3Kernel',['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab7a2f7de3f6283829d5aa91b6389c369',1,'arm_compute::CLSobel3x3Kernel::CLSobel3x3Kernel()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#aa0f5e4ffb3f4e6fa1b60dbd8d85ac859',1,'arm_compute::CLSobel3x3Kernel::CLSobel3x3Kernel(const CLSobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a453a89015ac4f8c719f40d98a24de478',1,'arm_compute::CLSobel3x3Kernel::CLSobel3x3Kernel(CLSobel3x3Kernel &amp;&amp;)=default']]],
@@ -282,6 +298,8 @@
   ['clspacetobatchlayer',['CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#afe7ced01267faafc2625d945502f2048',1,'arm_compute::CLSpaceToBatchLayer::CLSpaceToBatchLayer()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a8adba619d5104e036b506335761bd267',1,'arm_compute::CLSpaceToBatchLayer::CLSpaceToBatchLayer(const CLSpaceToBatchLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#abd736910fb9a292fc8e87a981260558a',1,'arm_compute::CLSpaceToBatchLayer::CLSpaceToBatchLayer(CLSpaceToBatchLayer &amp;&amp;)=default']]],
   ['clspacetobatchlayerkernel',['CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a676bf60c6e27d4a74704b7a73aa87a26',1,'arm_compute::CLSpaceToBatchLayerKernel::CLSpaceToBatchLayerKernel()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#afd1bcae761a03e312a62b8895764b3d3',1,'arm_compute::CLSpaceToBatchLayerKernel::CLSpaceToBatchLayerKernel(const CLSpaceToBatchLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ac4aa015be14d46daf50110bf18eab7a9',1,'arm_compute::CLSpaceToBatchLayerKernel::CLSpaceToBatchLayerKernel(CLSpaceToBatchLayerKernel &amp;&amp;)=default']]],
   ['clsplit',['CLSplit',['../classarm__compute_1_1_c_l_split.xhtml#ae59f9d138dbdf40c64af3ff48862be10',1,'arm_compute::CLSplit']]],
+  ['clstacklayer',['CLStackLayer',['../classarm__compute_1_1_c_l_stack_layer.xhtml#a49e2045299f083fac967cad38df6e200',1,'arm_compute::CLStackLayer']]],
+  ['clstacklayerkernel',['CLStackLayerKernel',['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a7ee563bd8a0fd07f07df1d1f86ec5d2a',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel()'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a8980cefb7252a70a4d05dbc9ecc446d5',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel(const CLStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a45a5517dfee52acdf2ad2e95afe74b62',1,'arm_compute::CLStackLayerKernel::CLStackLayerKernel(CLStackLayerKernel &amp;&amp;)=default']]],
   ['clstridedslicekernel',['CLStridedSliceKernel',['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a4073cc8126201e3ad3d54953d7feb280',1,'arm_compute::CLStridedSliceKernel::CLStridedSliceKernel()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a0216724dde2ec2b1c02422105015a2ba',1,'arm_compute::CLStridedSliceKernel::CLStridedSliceKernel(const CLStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#aa5fd8bd6fd2f511237d7b02d0da747ad',1,'arm_compute::CLStridedSliceKernel::CLStridedSliceKernel(CLStridedSliceKernel &amp;&amp;)=default']]],
   ['clsubtensor',['CLSubTensor',['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a8eba94c1cb1d9ddf253b3d9594ac4355',1,'arm_compute::CLSubTensor::CLSubTensor()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a65fe9103d114c8677b9c62844f9d9b22',1,'arm_compute::CLSubTensor::CLSubTensor(ICLTensor *parent, const TensorShape &amp;tensor_shape, const Coordinates &amp;coords, bool extend_parent=false)'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a3770cb2663115441657ca172d0df5bc5',1,'arm_compute::CLSubTensor::CLSubTensor(const CLSubTensor &amp;)=delete'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a65c6e5ec2b8035889c3114462010b612',1,'arm_compute::CLSubTensor::CLSubTensor(CLSubTensor &amp;&amp;)=default']]],
   ['clsubtensorhandle',['CLSubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a086b550f3a652cb38ae22537f11f9134',1,'arm_compute::graph::backends::CLSubTensorHandle::CLSubTensorHandle(ITensorHandle *parent_handle, const TensorShape &amp;shape, const Coordinates &amp;coords, bool extend_parent=false)'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ae807b1d6f312ebf9a8d125a85b6b664b',1,'arm_compute::graph::backends::CLSubTensorHandle::CLSubTensorHandle(CLSubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ae857ca49e292ab2beb5ee63eafd5cdba',1,'arm_compute::graph::backends::CLSubTensorHandle::CLSubTensorHandle(const CLSubTensorHandle &amp;)=delete']]],
@@ -290,7 +308,9 @@
   ['cltensor',['CLTensor',['../classarm__compute_1_1_c_l_tensor.xhtml#a7fa2f475bb0d2ad03746bc814fea580e',1,'arm_compute::CLTensor']]],
   ['cltensorallocator',['CLTensorAllocator',['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a3eb6246839f0d541494d40991336ddf5',1,'arm_compute::CLTensorAllocator::CLTensorAllocator(CLTensor *owner=nullptr)'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6172726c0856dd159f491aa0c4c37022',1,'arm_compute::CLTensorAllocator::CLTensorAllocator(const CLTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a4b47d05b98222ee556784032d684637e',1,'arm_compute::CLTensorAllocator::CLTensorAllocator(CLTensorAllocator &amp;&amp;)=default']]],
   ['cltensorhandle',['CLTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ad9ea997f4d444fba90a4a9da923c32b7',1,'arm_compute::graph::backends::CLTensorHandle::CLTensorHandle(const ITensorInfo &amp;info)'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a25e465b23b018d2b07e221854e3a7a24',1,'arm_compute::graph::backends::CLTensorHandle::CLTensorHandle(CLTensorHandle &amp;&amp;)=default']]],
+  ['cltilekernel',['CLTileKernel',['../classarm__compute_1_1_c_l_tile_kernel.xhtml#adeb46e4b6bc797c296639064e8cd08d0',1,'arm_compute::CLTileKernel::CLTileKernel()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a8d7519aaf46683c5e164e8be0ad32478',1,'arm_compute::CLTileKernel::CLTileKernel(const CLTileKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a50b76d221841db92f9a87c9e3f1b446c',1,'arm_compute::CLTileKernel::CLTileKernel(CLTileKernel &amp;&amp;)=default']]],
   ['cltuner',['CLTuner',['../classarm__compute_1_1_c_l_tuner.xhtml#ad551ac5b533cac7908910085117f5ca8',1,'arm_compute::CLTuner']]],
+  ['clunstack',['CLUnstack',['../classarm__compute_1_1_c_l_unstack.xhtml#a8801e5eac99121513e3d3278f73ffd92',1,'arm_compute::CLUnstack']]],
   ['clupsamplelayer',['CLUpsampleLayer',['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a7bf54f72fe0aab0ceb385c846304a746',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a0e6e86536702d066b57a4f55795e9b0c',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a83f20f34d496b1a7cba8f5016ee00f9a',1,'arm_compute::CLUpsampleLayer::CLUpsampleLayer(CLUpsampleLayer &amp;&amp;)=default']]],
   ['clupsamplelayerkernel',['CLUpsampleLayerKernel',['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#ac27d4a69cbc7700bd7b76acdfdaf5d70',1,'arm_compute::CLUpsampleLayerKernel::CLUpsampleLayerKernel()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a9f3d4335775d3892c73d857ce177f077',1,'arm_compute::CLUpsampleLayerKernel::CLUpsampleLayerKernel(const CLUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a0710a764eabb3f14000019c1c5603c35',1,'arm_compute::CLUpsampleLayerKernel::CLUpsampleLayerKernel(CLUpsampleLayerKernel &amp;&amp;)=default']]],
   ['clwaitforevents',['clWaitForEvents',['../_open_c_l_8cpp.xhtml#ab01da83b3a9fcd7a69dda12cc721c8f8',1,'OpenCL.cpp']]],
@@ -304,6 +324,7 @@
   ['clwinogradinputtransformkernel',['CLWinogradInputTransformKernel',['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a2e105c0e233d4f84c517d97fd9f30cb3',1,'arm_compute::CLWinogradInputTransformKernel::CLWinogradInputTransformKernel()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a6fcbf86623540d0bbf282aba5d722f40',1,'arm_compute::CLWinogradInputTransformKernel::CLWinogradInputTransformKernel(const CLWinogradInputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a32f604b9d9fb4cad12e4791a9a7686b5',1,'arm_compute::CLWinogradInputTransformKernel::CLWinogradInputTransformKernel(CLWinogradInputTransformKernel &amp;&amp;)=default']]],
   ['clwinogradoutputtransformkernel',['CLWinogradOutputTransformKernel',['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#aacbd8b6e99575dc039d8e772a4e05ef1',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a1e79a8888f04297f285177757ba27328',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a8ff03a689e87f9c2449fc7265e4ba291',1,'arm_compute::CLWinogradOutputTransformKernel::CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &amp;&amp;)=default']]],
   ['clyololayerkernel',['CLYOLOLayerKernel',['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a388f5f03203b0315008239a71a92b610',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#ab32695271497fb7977438e51fdfd8d3f',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a79e1753daeacc2a92b89bfe25ed42805',1,'arm_compute::CLYOLOLayerKernel::CLYOLOLayerKernel(CLYOLOLayerKernel &amp;&amp;)=default']]],
+  ['code_5ftype',['code_type',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a025a49ad16e9d5d59d3919c25a17d1ae',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['col2im',['col2im',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a322ce5510f1325f02993132f5da68525',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b681fe3cdd1dc6d31137220dbd0307d',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae2dc7444c541764b71db241d2f37079a',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a483cdee93e3819f748aac690e0f5f5a7',1,'arm_compute::test::validation::reference::col2im(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;dst_shape, unsigned int num_groups)']]],
   ['collapse',['collapse',['../classarm__compute_1_1_dimensions.xhtml#a0c265a91027decdda59e5086c550d0f7',1,'arm_compute::Dimensions::collapse()'],['../classarm__compute_1_1_tensor_shape.xhtml#a8e15e87871211f98c2b566137e38ef99',1,'arm_compute::TensorShape::collapse()'],['../classarm__compute_1_1_window.xhtml#af6303f954929d2bdac13a4712ecf9711',1,'arm_compute::Window::collapse()']]],
   ['collapse_5ffrom',['collapse_from',['../classarm__compute_1_1_dimensions.xhtml#a112cc1d5093b7672bf11569659251a7c',1,'arm_compute::Dimensions']]],
@@ -327,13 +348,14 @@
   ['colorconvert_5fyuyv_5fto_5fiyuv',['colorconvert_yuyv_to_iyuv',['../namespacearm__compute.xhtml#ae43e8f0463c0289169025c3041688d36',1,'arm_compute::colorconvert_yuyv_to_iyuv()'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#abed1623fbc88721689817ef115e317f2',1,'arm_compute::test::colorconvert_helper::detail::colorconvert_yuyv_to_iyuv()']]],
   ['colorconvert_5fyuyv_5fto_5fnv12',['colorconvert_yuyv_to_nv12',['../namespacearm__compute.xhtml#a8ee13904a3f5ba84b28cb53d956021d7',1,'arm_compute::colorconvert_yuyv_to_nv12()'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a1fe7737fbf524eeb6811368867fece26',1,'arm_compute::test::colorconvert_helper::detail::colorconvert_yuyv_to_nv12()']]],
   ['colorconvert_5fyuyv_5fto_5frgb',['colorconvert_yuyv_to_rgb',['../namespacearm__compute.xhtml#a3c22c0d3494660b72b4fc04fec76f92d',1,'arm_compute::colorconvert_yuyv_to_rgb()'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#aab80900114531c21cf2260c5f61d7991',1,'arm_compute::test::colorconvert_helper::detail::colorconvert_yuyv_to_rgb()']]],
-  ['combine',['combine',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac637b6be52ec2d9a3671f493f8b71042',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3f772f5bb6c40d76afb279681cbb692b',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9728d5271886db3847c93b7353e18024',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36022ca36d33efd6a005963bc1546e5c',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a918f7c14afd727aa4f98d1866fe1a5e5',1,'arm_compute::test::benchmark::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411',1,'arm_compute::test::framework::dataset::combine()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a092f97d313b94fd7b22c461576328682',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49d71658e3ae20705d867499a3d0ce10',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9259ddd82654e624d31014aa995051da',1,'arm_compute::test::validation::combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38c68538739fe935a6d5ea0577705214',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf722f3f6aec87339661df73b8bcbf7d',1,'arm_compute::test::validation::combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b006d8500630b13b95bc0af0eb7e650',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af884e3ec179a8369da0c00b2c6e1fef2',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af95ef7db7f08fddf0a3241c5ecf2bd47',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff65498436121dba260e5db9434a86f1',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a875aa763b5fd3909d35d3fea01256bad',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9dd4a7f2215619d1752fef82d3e58538',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95b9d0fed97e0666dacc1706c46f1e3c',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9f1a4bf6f5bc236a0b8381c8d382a9',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc453c8f432b0cbe3f06536d56504a5e',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54c48914ca65f33018a38386b8ffa54',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefad470ff8ddc1042771a3e2a37f19d7',1,'arm_compute::test::validation::combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af122b52a460babe576a1f7d4ab82162a',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18752343fc789d4568a59f51e82a0ba',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22f898b88e5d89867095627860ca1552',1,'arm_compute::test::validation::combine(combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec13618c285e4e0a2abb1ef1b4535da0',1,'arm_compute::test::validation::combine(combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47be21a7b1fb5ff31e19297eb08fefa9',1,'arm_compute::test::validation::combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2c3964e8f8abe019b9787a1c5ea2b07',1,'arm_compute::test::validation::combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9cbe6e7e814cd8002d05be9343c34f',1,'arm_compute::test::validation::combine(combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8648561bac7276f1811068b1864e1df4',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c6b9d9c2494e45cb83313f09519dc4',1,'arm_compute::test::validation::combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab51aa22b4ba65c2b52a3cdd169462174',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24dc581f43efae1164a8d0f26ba91479',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a166bbfe267332742f88e771acc39ae01',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0842e4f9c5222a489ca76ac95208b69b',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac80f82e8dc7ce5ac80f1134cb662e0f1',1,'arm_compute::test::validation::combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a565b8a5d0d73770a130c01f6b5ae5c31',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d3151f4ad0a76decd76379ddfc5d832',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2063d1d3e5dde0f479bc1d96d9294de',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf46d39c97281c672f724cdae74d651e',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a416fc2009eae84996b15c051f768639b',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a886187093300f6e68ccf9e169a947dbf',1,'arm_compute::test::validation::combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e2fdc01e84e8649c6a68c595c44da01',1,'arm_compute::test::validation::combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0a0c1e6462644aeb761889b4459f3ad',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1881e4cae6cf25292d970e0f2ded112a',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0da8753b41de0791b2ffa57f7ed4273',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a094c58da0f697e52ecd84027d9818307',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd7fed36c634ec4594388128d2e40df',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cc070dbbb4e0732bf34e744e5c6e5ec',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274d2afc8082b3cdf926001c5969d317',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afde67aa3180e5d8eb8b877d1ab9e7c29',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f7aa6e700f239c03ff72acd6c468073',1,'arm_compute::test::validation::combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab89c7dbdbdf351721f4cf7410307aec9',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac6c1834877dc6343fafcbbbccb248ca',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a699d8158ba6ac3fc673b0666200898df',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afa3b306ad655a79447c4c58c3f1b5365',1,'arm_compute::test::validation::combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72469369faddce5a2b72fd4b875826d2',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e9d9315d4344276bde7f569a8d7f21d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a119463720cbcd7bfcd151298f8992ed3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefcb158a93abbadde32b46728afac489',1,'arm_compute::test::validation::combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a878d5d0f7475f4ccbfaa978fd4f0d3ac',1,'arm_compute::test::validation::combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab35736f0cb483539bcebbc70e73bbb1',1,'arm_compute::test::validation::combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d42fafc56066c33ab601d49878354bf',1,'arm_compute::test::validation::combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c3c8390f16bdd1f968df1ebf42215b1',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bee4ca70ee3abf47597a70b6ca62c87',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9d454f7804c88885185e6cc13c7b5b',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNHWC, LargeWinogradInputTransformDatasetNHWC), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5ea628b4a081b6d2700d4156d310f9',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6021ee102520188db2a83ec2f12dee82',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95ca00c382aae2f45c70de0fb13814ef',1,'arm_compute::test::validation::combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNHWC, LargeWinogradFilterTransformDatasetNHWC), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e78a26db7e40eca3c8c5ec97b428fe',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f41c5c5d8866efa09654fa7d88b8385',1,'arm_compute::test::validation::combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade3cccfc740829a3b6ed570a3c4efeec',1,'arm_compute::test::validation::combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNHWC, LargeWinogradOutputTransformDatasetNHWC), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ee42118447af556f4331dd4f17f5f59',1,'arm_compute::test::validation::combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5602e1cd6584ccc939c2ca3679039990',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f0f214d66d2f739ee19588ff6fd7439',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ac40477ae8f7b03422a403fc2d71b9f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15c95d740346575114adce3a7ea16acd',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a971bdaf9b1ef86d058b625feea852a05',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1a8238b9acf1f965276d6f186207bce',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5bc7204667015ef4a76b935e8788d9e3',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a3e828fa0a85f1998e4c183122d2ffa',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3215a45a825c27ea4058aa1be8c30e6a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2002f7b120345b22a50d2d17493405a1',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4e18f28f6c30a202693c855f14ab53',1,'arm_compute::test::validation::combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d833399fb18f15c15e8a78c8b4d09b',1,'arm_compute::test::validation::combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaf63c04a1cc347e32d54af646df589a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5dc36fe0848cf8263570cf02a5a6569',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a6b39c4e919ccb67029c24966da3318',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf6eb6c2cd25bec65d8c1981d044dc4f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f8883de8bcf15fa2f4609eb6d9c7686',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed250192de73300c8e4c05e77e66f87',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85dd0f7e03c6e9d992ef9b8f0751cf40',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7c994b02533988ca1192f1527373621',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad094e874a245764e0133c61a85e7d3a4',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a246ff6c535c53ebc0fed7a9a2ba8b3cf',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40cf8fe3a3c43782b0347ae818e5c798',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a547ec451bd92391b6fac0ec4b6daa8be',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43dac421227584910e1cf5fdc40e37bc',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a429340c0121881e7301e17804f50bb16',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a1bcc11395e1ae79eb8b7690755a659',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b1c766fcd694609051e4d7a8fdb0df1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a501df29d417ae1790160ebc1357d1717',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46c2c41e06d21c47f960505c9f49fa0d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af664738437237ceaafa84915b636396b',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ede0ad086ada8a19a26f3dcb19332f',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))']]],
+  ['combine',['combine',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac637b6be52ec2d9a3671f493f8b71042',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3f772f5bb6c40d76afb279681cbb692b',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9728d5271886db3847c93b7353e18024',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36022ca36d33efd6a005963bc1546e5c',1,'arm_compute::test::benchmark::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a918f7c14afd727aa4f98d1866fe1a5e5',1,'arm_compute::test::benchmark::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;FilterSize&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411',1,'arm_compute::test::framework::dataset::combine()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b472964f8df2137f3f7f92cf3dd8d9a',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a98903ef6ff2f77c0f4a909b4fc9654a5',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b560a2597afefb5b26dd93e2d8115d4',1,'arm_compute::test::validation::combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80452979e11d0c93a88a3005189601fa',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;ActivationInfo&quot;, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf722f3f6aec87339661df73b8bcbf7d',1,'arm_compute::test::validation::combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2712cb78fd081d3baebe261fa6dcd85b',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), datasets::ConvertPolicies())'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e77ed62c2a00d8d5107bd0c0f8aeb91',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ba5167b02b0536eda5cca1ee83baec4',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a946809cc2906af347ef293184cb734',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abba89d646c854e1f131ff7157dc90d0c',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7601b87848abb34e5778de0b80050dc5',1,'arm_compute::test::validation::combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c3a18d1cbba785c8b9a6a4fe983065',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae827914b6c18f445b17a29a75b05fea',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc041e4378cb3bb88e1b5827a38ab0c9',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ddb7444dc7ac33183908b29d319fa23',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52db18bf5ed7c8c89737bf30cea0aa70',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad24871457b52ed4026ca96d259fcab6e',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19c74c8eb965d15f4372d8a50f565718',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e9ebd0d3a9f8a0fe9f158005ef96529',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68deb4dc39595404f45ca1ed12ec3b8a',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61ea7d7b6ace9d9c3dac58ab36c0550d',1,'arm_compute::test::validation::combine(combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), ActivationFunctionsDataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc29e65bd656baad653f863c5045b2c7',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e72541241145dab4fed298d94de781e',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95b9d0fed97e0666dacc1706c46f1e3c',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9f1a4bf6f5bc236a0b8381c8d382a9',1,'arm_compute::test::validation::combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc453c8f432b0cbe3f06536d56504a5e',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54c48914ca65f33018a38386b8ffa54',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefad470ff8ddc1042771a3e2a37f19d7',1,'arm_compute::test::validation::combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af122b52a460babe576a1f7d4ab82162a',1,'arm_compute::test::validation::combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18752343fc789d4568a59f51e82a0ba',1,'arm_compute::test::validation::combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22f898b88e5d89867095627860ca1552',1,'arm_compute::test::validation::combine(combine(combine(data3x3_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec13618c285e4e0a2abb1ef1b4535da0',1,'arm_compute::test::validation::combine(combine(combine(data1x1, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe3738f19ffb6b80ec70d654df1ca295',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47be21a7b1fb5ff31e19297eb08fefa9',1,'arm_compute::test::validation::combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2c3964e8f8abe019b9787a1c5ea2b07',1,'arm_compute::test::validation::combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add9cbe6e7e814cd8002d05be9343c34f',1,'arm_compute::test::validation::combine(combine(combine(datasets::DirectConvolutionLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c50bb668191f259043b5af13613d74e',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a38f85fabf93842ecbe4abb77109932',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38c68b850b6b04a6988e6d93708026c2',1,'arm_compute::test::validation::combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab51aa22b4ba65c2b52a3cdd169462174',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24dc581f43efae1164a8d0f26ba91479',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a166bbfe267332742f88e771acc39ae01',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0842e4f9c5222a489ca76ac95208b69b',1,'arm_compute::test::validation::combine(combine(datasets::SmallGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14f32a493a8c50a72b43a89005c326e1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18211fd3513b81d71a8bd77cca990db3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc4c2c806a6782fb9e463d84d5be94ea',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0faa111a1a678595606d75138edda42',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e7540e33288f3b2f2c0eb59b0617fc7',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b12bac0f1a7b3f5f816eae4932178b5',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa27fd9f202d58fde912a90adbdf05441',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e17e0302f5aa82cab17e5baa110746a',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac80f82e8dc7ce5ac80f1134cb662e0f1',1,'arm_compute::test::validation::combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a565b8a5d0d73770a130c01f6b5ae5c31',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d3151f4ad0a76decd76379ddfc5d832',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2063d1d3e5dde0f479bc1d96d9294de',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf46d39c97281c672f724cdae74d651e',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2fb5fe73a5c8287a2b91c01e3de7b41a',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78bf42d4af24643d2b0d24cc6c70b361',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f016dd4dea349a6b71893528b493eb6',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1881e4cae6cf25292d970e0f2ded112a',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab32a186a61d3b064499f24bfd581e5fa',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4158672b44f3240f5d5be6bcde1a0dc6',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd7fed36c634ec4594388128d2e40df',1,'arm_compute::test::validation::combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cc070dbbb4e0732bf34e744e5c6e5ec',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274d2afc8082b3cdf926001c5969d317',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afde67aa3180e5d8eb8b877d1ab9e7c29',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ef14bfb7248e83b3b7478d0a82bf992',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8), start_dataset), step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.3457f, 120.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d13dea9ed8c6e8619b98a65aef7719c',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::S16), start_dataset), step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa449d4c4caf82ec2a8bf083e5d1cf3f',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::F16), start_dataset), float_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67e392360024f7106a814486c2d326d3',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::F32), start_dataset), float_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f7aa6e700f239c03ff72acd6c468073',1,'arm_compute::test::validation::combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab125e5eb4e3db5f4f0de846b3352c58d',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac6c1834877dc6343fafcbbbccb248ca',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a699d8158ba6ac3fc673b0666200898df',1,'arm_compute::test::validation::combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe7eae5bcad4e91c6dd8c1c31a7c17fb',1,'arm_compute::test::validation::combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afa3b306ad655a79447c4c58c3f1b5365',1,'arm_compute::test::validation::combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27d2376584b1bfbce2de6c046d119d00',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbd44e0826d692660d940f2f372aa60',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e6233f2d0f09f7b7fbacf36a191ffd6',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefcb158a93abbadde32b46728afac489',1,'arm_compute::test::validation::combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a878d5d0f7475f4ccbfaa978fd4f0d3ac',1,'arm_compute::test::validation::combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab35736f0cb483539bcebbc70e73bbb1',1,'arm_compute::test::validation::combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefbc705cede4006a11ee179b95d6468b',1,'arm_compute::test::validation::combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95f9925154f5f210469883d262e49dc6',1,'arm_compute::test::validation::combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8da287de456ed19c93c8b5a709918d35',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89ab711dabe38c42995449e94aa1424e',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f76a6b67e60b850d85ea69c252a41b0',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af87beef26b59d0160912c833cec89f50',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2867f5a73b7e0c3b68c3a89be30381bd',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52fe8bb7119d3a3d7c5aea7293f4237f',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d5eb8588c371e013cfdcd8b6518dc0',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1219d2e4e290d33e099239f53fb0c40d',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8606a2a9e3d21b4d4b78e031530062b8',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d42fafc56066c33ab601d49878354bf',1,'arm_compute::test::validation::combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22db211f74c1c04977333f7ba0152691',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b27d342b771bfb392ae65c171a0c319',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00c1ec08ac80772d046fd13067a9999f',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ee25c88710178128302d43ea628b5f9',1,'arm_compute::test::validation::combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f53cc4bdd82452e62d5785139816120',1,'arm_compute::test::validation::combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c3c8390f16bdd1f968df1ebf42215b1',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bee4ca70ee3abf47597a70b6ca62c87',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d0be8bc8237790230e8f4f95c413e63',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5ea628b4a081b6d2700d4156d310f9',1,'arm_compute::test::validation::combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6021ee102520188db2a83ec2f12dee82',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e42299b402cf9f505d5c5c89abec58',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0e78a26db7e40eca3c8c5ec97b428fe',1,'arm_compute::test::validation::combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635a4ed7493013bf8d4234f72baf301a',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9901ecbeb55fc31207079515cd5ec44d',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ca5544149138fa83702c9489e6ee1e',1,'arm_compute::test::validation::combine(combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc58e7b1ccb8c9b0abb9bcfa6e592c0c',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a6f542aa33954cc0c391ebc079bc0ef',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2bd84a2e27e9d1d931b54acdc1643bda',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4e091bdcad717b20f789c709baee90d',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6ac34c117469a1fea4f3749223fa00a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac782f10cf3f2d5e09d893218d5849e8e',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b374452891e5a2e155ae7801d032da7',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4c16ee2840b5b6fdad9101c4332ad14',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8cf8d715ef18d45732ebcfc216ac405',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92ea6ac2e4c17a8b8cb61325165e6d52',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4e18f28f6c30a202693c855f14ab53',1,'arm_compute::test::validation::combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba411b068011fef8b5aee5f371c6ad63',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AccumulateU8Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1784922b6d7f4fdc9326e331392b4155',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), AccumulateS16Dataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76db20584671358b337eb6def59b28a5',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c86876953e9b2b6a069d280d9ca1aa6',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03b3b6f20e32a8c2cd8307d4ed972565',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d833399fb18f15c15e8a78c8b4d09b',1,'arm_compute::test::validation::combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac567785492d3a7495c78188291d87b55',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2319681e31544fe36ff25d3a873f4181',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad46930ff07ad49746e01d43b64d289c7',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae84d170f93c503dac121d9c981b29f51',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dcea7d9d5fe5423f5cadfc41fa25f4d',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaac3f436c16c6f00f8f83c0656b320d3',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54f305400117bbf7cad88ebac67d862b',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c1944720b486bbca5c5399301ceb620',1,'arm_compute::test::validation::combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36263adadba8db90929387334b5f3ac',1,'arm_compute::test::validation::combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94b020f68b9d0c0aa237deee754ea5db',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95286bfdb22c26516b3498bf9cbd7246',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed4d109ba1a0f93407c83c4a2150c3d',1,'arm_compute::test::validation::combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8da384b56c2a7e0c32b5f35bd7b40014',1,'arm_compute::test::validation::combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaf63c04a1cc347e32d54af646df589a',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5dc36fe0848cf8263570cf02a5a6569',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a6b39c4e919ccb67029c24966da3318',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf6eb6c2cd25bec65d8c1981d044dc4f',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f8883de8bcf15fa2f4609eb6d9c7686',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed250192de73300c8e4c05e77e66f87',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85dd0f7e03c6e9d992ef9b8f0751cf40',1,'arm_compute::test::validation::combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7c994b02533988ca1192f1527373621',1,'arm_compute::test::validation::combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fdb116fa072ae44264324d851e07d68',1,'arm_compute::test::validation::combine(combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9821de6f29b858a714d008afa94e2c28',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae31f14a9033f41e7876f6e3afb244ad4',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9ff6c40937e4ff3d7d70bc1689c987c',1,'arm_compute::test::validation::combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a448acb498b3652544fe4ef2cd588b35a',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a91545b0a07163b98055bcb65de53eb20',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf771f23aadd1da1db7c7e00ef56429b',1,'arm_compute::test::validation::combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S16 }))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1575d9bcf13254129dab927c02ad5dd9',1,'arm_compute::test::validation::combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad094e874a245764e0133c61a85e7d3a4',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a246ff6c535c53ebc0fed7a9a2ba8b3cf',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40cf8fe3a3c43782b0347ae818e5c798',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a547ec451bd92391b6fac0ec4b6daa8be',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43dac421227584910e1cf5fdc40e37bc',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a429340c0121881e7301e17804f50bb16',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a1bcc11395e1ae79eb8b7690755a659',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b1c766fcd694609051e4d7a8fdb0df1',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a501df29d417ae1790160ebc1357d1717',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46c2c41e06d21c47f960505c9f49fa0d',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af664738437237ceaafa84915b636396b',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9629d98e36c1b8af8e76c14af3d6da3',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf063764cfff310dba70808a155b52d6',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a783c92d2df2f01e47aa1afcd9b14ab9e',1,'arm_compute::test::validation::combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af18cf9bb92f09f7ca4cb1da10a255b54',1,'arm_compute::test::validation::combine(combine(shapes_2d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdcc35d2d0dddbd37fc0c90e20acfb9b',1,'arm_compute::test::validation::combine(combine(shapes_3d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e19afe6ba0f04858dde440302c59feb',1,'arm_compute::test::validation::combine(combine(shapes_4d_small, data_types), n_values)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ede0ad086ada8a19a26f3dcb19332f',1,'arm_compute::test::validation::combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))']]],
   ['combine_5fgradients_5fl1',['combine_gradients_L1',['../canny_8cl.xhtml#a92f95668118a1bc6ef0eed965dfd570f',1,'canny.cl']]],
   ['combine_5fgradients_5fl2',['combine_gradients_L2',['../canny_8cl.xhtml#a7046357526e2f95a34e3ffa217752d9f',1,'canny.cl']]],
   ['commandlineparser',['CommandLineParser',['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml#a169ae39f7c9da9fee21c577ae5d7954f',1,'arm_compute::utils::CommandLineParser']]],
   ['common_5fnode_5fparams',['common_node_params',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a106f54af67828d3da9f8098397d3b4ea',1,'arm_compute::graph::INode']]],
   ['commongraphoptions',['CommonGraphOptions',['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aeea2bdaecbe56d3a5bed95161b14bd38',1,'arm_compute::utils::CommonGraphOptions::CommonGraphOptions(CommandLineParser &amp;parser)'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#adfe8a14089c6310f65b2f904f1a40dff',1,'arm_compute::utils::CommonGraphOptions::CommonGraphOptions(const CommonGraphOptions &amp;)=delete'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a966d75bfeec1505fcf8ae19ce7627828',1,'arm_compute::utils::CommonGraphOptions::CommonGraphOptions(CommonGraphOptions &amp;&amp;)=default']]],
   ['commonoptions',['CommonOptions',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a8662573f8e597136672eadf017f6b53c',1,'arm_compute::test::framework::CommonOptions::CommonOptions(arm_compute::utils::CommandLineParser &amp;parser)'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a20a9bb6edc108f6ee20c822b68531b5d',1,'arm_compute::test::framework::CommonOptions::CommonOptions(const CommonOptions &amp;)=delete']]],
+  ['compare',['compare',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7da5947996960e48cf958f1e722829ae',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; T &gt; &amp;src1, const SimpleTensor&lt; T &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb0925853b5ede7a77715e9c3494a0cc',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad1c2f04c530bae0379463c1414305a89',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; half &gt; &amp;src1, const SimpleTensor&lt; half &gt; &amp;src2)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9bfac7b9e4c2ff4299e279ae829791f',1,'arm_compute::test::validation::reference::compare(ComparisonOperation op, const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2)']]],
   ['compare_5fbase',['compare_base',['../structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml#a42c8a61b86fc900746fef0f1f70a9430',1,'arm_compute::test::validation::compare_base']]],
   ['compare_5fdetection_5fwindows',['compare_detection_windows',['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd649d3d886a5204684e110912835e',1,'arm_compute::test::validation']]],
   ['compare_5fdimension',['compare_dimension',['../classarm__compute_1_1detail_1_1compare__dimension.xhtml#afe99c6d8da678f7dce4e4a58ad1e0175',1,'arm_compute::detail::compare_dimension']]],
@@ -347,34 +369,41 @@
   ['compute_5fdeconvolution_5foutput_5fshape',['compute_deconvolution_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae270329cfe3dbab009b700318e8af8b4',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fdeconvolution_5fupsampled_5fshape',['compute_deconvolution_upsampled_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5c2e95d65407a26489ea38431ad851f5',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fdeep_5fconvolution_5fshape',['compute_deep_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5d320d308c16b8ddda3c9d3f60fad79c',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fdepthwise_5fconvolution_5fshape',['compute_depthwise_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab51afcfdb9caea9e8185ae6a42ba4779',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fdepthwise_5fconvolution_5fshape',['compute_depthwise_convolution_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab51afcfdb9caea9e8185ae6a42ba4779',1,'arm_compute::misc::shape_calculator::compute_depthwise_convolution_shape(const ITensorInfo &amp;input, const ITensorInfo &amp;weights, PadStrideInfo conv_info, unsigned int depth_multiplier)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a928f49376c42cf52fcff1d615034486f',1,'arm_compute::misc::shape_calculator::compute_depthwise_convolution_shape(const ITensorInfo &amp;input, int weights_width, int weights_height, PadStrideInfo conv_info, unsigned int depth_multiplier)']]],
   ['compute_5fflatten_5fshape',['compute_flatten_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a83efb6708574e67d13965bcd2059ad75',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5ffully_5fconnected_5freshaped_5fweights_5fshape',['compute_fully_connected_reshaped_weights_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a734391819bbd2b0fa8400c06b7956d9e',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fgather_5fshape',['compute_gather_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae6578c8df1088c90dfa0d1be6bca605d',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fim2col_5fconv_5fshape',['compute_im2col_conv_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a8a9286d053e9f3a958064e4f3cdd02f7',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5finterleave_5fcustom_5fshape',['compute_interleave_custom_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ac18940223de1db7f6ed6c49119be7cd8',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5finterleaved_5fshape',['compute_interleaved_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a8d52adbbcd2c53f837c96b5a3d15c4fb',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5flhs_5freshaped_5fshape',['compute_lhs_reshaped_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a389f89ab5121dad0906d0b7324fbf73d',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fmin_5fmax',['compute_min_max',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9585c7c2f19c8c051da1d927d3687e70',1,'arm_compute::test::validation::reference']]],
   ['compute_5fmin_5fmax_5fshape',['compute_min_max_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a1b843e3850ed7324d11f77882cc597ae',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fmm_5fshape',['compute_mm_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#adca241b012a5e00ddfcdc5a8db05a2a3',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5foutput_5fdescriptor',['compute_output_descriptor',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a78cd2cdd82038e9c3590cd182bf61127',1,'arm_compute::graph::ConcatenateLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::ConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DeconvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a93e83648d54591476e9757b3c2973339',1,'arm_compute::graph::FullyConnectedLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#ad887592cb4cdc3374806faf746ca9acd',1,'arm_compute::graph::PoolingLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a7ce797dcee923e64f870fa191634e731',1,'arm_compute::graph::PriorBoxLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#ad7492583a6f1f0f35f6e89829d4c379b',1,'arm_compute::graph::ReorgLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a1521316e452fc18391024f306ae389d5',1,'arm_compute::graph::SliceLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7',1,'arm_compute::graph::SplitLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a81730ee591fa0b1ec20e7adb17d44b5e',1,'arm_compute::graph::UpsampleLayerNode::compute_output_descriptor()']]],
+  ['compute_5fmm_5fshape',['compute_mm_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#adca241b012a5e00ddfcdc5a8db05a2a3',1,'arm_compute::misc::shape_calculator::compute_mm_shape(const ITensorInfo &amp;input0, const ITensorInfo &amp;input1, bool is_interleaved_transposed, const GEMMReshapeInfo &amp;reshape_info)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5076384fc9981ec1b497daab624a555b',1,'arm_compute::misc::shape_calculator::compute_mm_shape(const ITensorInfo &amp;input0, const ITensorInfo &amp;input1, const GEMMReshapeInfo &amp;gemm_info)']]],
+  ['compute_5foutput_5fdescriptor',['compute_output_descriptor',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a78cd2cdd82038e9c3590cd182bf61127',1,'arm_compute::graph::ConcatenateLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::ConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a727fa63cc2bca1a370f00eecfa64a530',1,'arm_compute::graph::DeconvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a1cf6004dfffcf18d6c31a1d4c9f64e26',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#aac21d610e55242cebcc343d9a004db71',1,'arm_compute::graph::DetectionOutputLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a93e83648d54591476e9757b3c2973339',1,'arm_compute::graph::FullyConnectedLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#ad887592cb4cdc3374806faf746ca9acd',1,'arm_compute::graph::PoolingLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a7ce797dcee923e64f870fa191634e731',1,'arm_compute::graph::PriorBoxLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#ad7492583a6f1f0f35f6e89829d4c379b',1,'arm_compute::graph::ReorgLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a1521316e452fc18391024f306ae389d5',1,'arm_compute::graph::SliceLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7',1,'arm_compute::graph::SplitLayerNode::compute_output_descriptor()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a81730ee591fa0b1ec20e7adb17d44b5e',1,'arm_compute::graph::UpsampleLayerNode::compute_output_descriptor()']]],
   ['compute_5foutput_5fstage_5fshape',['compute_output_stage_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a1d3b8af21d25d9e6871673565f9f7532',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpadded_5fshape',['compute_padded_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a4e7f3187350db69156c1026860ace4e5',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpermutation_5foutput_5fshape',['compute_permutation_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a593fb7ecc281425b190cd6f20164b1a3',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fpool_5fshape',['compute_pool_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fprior_5fbox_5fshape',['compute_prior_box_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae3f672f124e4228db364bb811e770226',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freduced_5fshape',['compute_reduced_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a0b0f2e38b65473f68561e0598c3107ff',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freduction_5foperation',['compute_reduction_operation',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aea574dd283dd023938212166d4ee8404',1,'arm_compute::test::validation::reference']]],
   ['compute_5freductiona_5fshape',['compute_reductionA_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a60ce6c017f70d978b48b101ce314969e',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5freductionb_5fshape',['compute_reductionB_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a69f9b3191aafc4905f9d029ff9d48fea',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5freorg_5foutput_5fshape',['compute_reorg_output_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#afbc83cd4145d161da4c026e1f5743e1d',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5freshaped_5fdepthwise_5fweights_5fshape',['compute_reshaped_depthwise_weights_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a3f10bc0f3e2a0126ce8c26e3d6a8fb96',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5frgb_5fvalue',['compute_rgb_value',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a99b8d9c2d8305c4d51da543c1f609299',1,'arm_compute::test::colorconvert_helper::detail']]],
+  ['compute_5frhs_5freshaped_5fshape',['compute_rhs_reshaped_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a09ad10a110d947fd9c444b2ea5e4c127',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5frnn_5fshape',['compute_rnn_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#af98bc3ef5c65dbb63bc79700ccdd043b',1,'arm_compute::misc::shape_calculator']]],
-  ['compute_5fslice_5foutput_5fshape',['compute_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a8102d4bb8d7cb6a4ccf5e5e422b2a751',1,'arm_compute::helpers::tensor_transform']]],
+  ['compute_5froi_5falign_5fshape',['compute_roi_align_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a3d3eaddfd85c16e7a9a385ba0e6a45b0',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fslice_5fshape',['compute_slice_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a30c67d11c15378ffe67ca3c31e848917',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fsoftmax_5fshape',['compute_softmax_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad16b366db486fec63b6d962937ec4545',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fspace_5fto_5fbatch_5fshape',['compute_space_to_batch_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a585529133e437dc5f935d33de17c4abb',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fsplit_5fshape',['compute_split_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#abe10cfa0b480704109fd1a925301f58b',1,'arm_compute::misc::shape_calculator']]],
+  ['compute_5fstack_5fshape',['compute_stack_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a32c692ab35f40f9ce6e27e1f4016e921',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fstrength',['compute_strength',['../fast__corners_8cl.xhtml#aea4e2a64dfdec6a9ecf62f8cd518fc17',1,'fast_corners.cl']]],
-  ['compute_5fstrided_5fslice_5foutput_5fshape',['compute_strided_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#af13ccc2d4ed13a513cf7d031233cbfdd',1,'arm_compute::helpers::tensor_transform']]],
+  ['compute_5fstrided_5fslice_5foutput_5fshape',['compute_strided_slice_output_shape',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174',1,'arm_compute::helpers::tensor_transform']]],
   ['compute_5fstrided_5fslice_5fshape',['compute_strided_slice_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ab288dc7ed664925c6f992b0e6aa3bc1b',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fstrides',['compute_strides',['../namespacearm__compute.xhtml#ac56739a30823647f7d86a0380a2ff62e',1,'arm_compute::compute_strides(const ITensorInfo &amp;info, T stride_x, Ts &amp;&amp;... fixed_strides)'],['../namespacearm__compute.xhtml#a8c35748731709927597cb5a2c227e682',1,'arm_compute::compute_strides(const ITensorInfo &amp;info)']]],
+  ['compute_5ftiled_5fshape',['compute_tiled_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a626cdfbacb377ee26462155d421717d3',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftranspose1xw_5fshape',['compute_transpose1xW_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a70a2ef9fd754b5798a0a92656f8b5fcf',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftranspose1xw_5fwith_5felement_5fsize_5fshape',['compute_transpose1xW_with_element_size_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5797726a8fbee3b11b92757c2f0031d6',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5ftransposed_5fshape',['compute_transposed_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a69cb11b5b37f94a6bea9eaad9d13cccf',1,'arm_compute::misc::shape_calculator']]],
@@ -388,20 +417,22 @@
   ['compute_5fwinograd_5finput_5ftransform_5fshape',['compute_winograd_input_transform_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a04249f91ec2964d21a91bb7038821000',1,'arm_compute::misc::shape_calculator']]],
   ['compute_5fwinograd_5foutput_5ftransform_5fshape',['compute_winograd_output_transform_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5699c316d27b41f0790827791e88ae26',1,'arm_compute::misc::shape_calculator']]],
   ['computeanchorsinfo',['ComputeAnchorsInfo',['../classarm__compute_1_1_compute_anchors_info.xhtml#a754fb667b78b7376c989a3923d172ff9',1,'arm_compute::ComputeAnchorsInfo']]],
-  ['concat',['concat',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7',1,'arm_compute::test::framework::dataset::concat()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af88100056fa341e6cb1b2fe3a2d520e7',1,'arm_compute::test::validation::concat()']]],
+  ['concat',['concat',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7',1,'arm_compute::test::framework::dataset']]],
   ['concatenatelayernode',['ConcatenateLayerNode',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3fd97b1634e46fabfaf9ec285fa0d3dc',1,'arm_compute::graph::ConcatenateLayerNode']]],
   ['concatenation_5faxis',['concatenation_axis',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a051cd2a8d15cf783e9ab9a00451c77f6',1,'arm_compute::graph::ConcatenateLayerNode']]],
   ['concatlayer',['ConcatLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#ab92fa4522a5f22a09ebcc4056c20feff',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(SubStream &amp;&amp;sub_stream1, SubStream &amp;&amp;sub_stream2, Ts &amp;&amp;... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a33627d6868c85c98f796ba375f07ce30',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(DataLayoutDimension axis, SubStream &amp;&amp;sub_stream1, SubStream &amp;&amp;sub_stream2, Ts &amp;&amp;... rest_sub_streams)'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a3a157200f2d59f07ad6acb50423d6d28',1,'arm_compute::graph::frontend::ConcatLayer::ConcatLayer(SubStream &amp;&amp;sub_stream)']]],
+  ['confidence_5fthreshold',['confidence_threshold',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a47c941c24980e6f61a74986c4a16c16c',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['config',['config',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a9c24c14abfd0ab9d1f4ce8cd5cc20819',1,'arm_compute::graph::GraphContext']]],
   ['config_5fid',['config_id',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb',1,'arm_compute::ICLKernel']]],
-  ['configure',['configure',['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a1a4031af60bf9aff1b58a3acf3c95fae',1,'arm_compute::ICLSimpleKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_kernel.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulateKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted_kernel.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared_kernel.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a1048af0714f442881a9232395107e963',1,'arm_compute::CLArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLArithmeticDivisionKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a1048af0714f442881a9232395107e963',1,'arm_compute::CLArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a594b089aecb32029f92043028d98cb9a',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAndKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_not_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNotKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOrKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXorKernel::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransformKernel::configure()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLBox3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#ad67340e556964fbc6aee83f7b2ff8101',1,'arm_compute::CLGradientKernel::configure()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a209e05c2e2bf4d5fb2b9e3f75c7d79aa',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#af4b40677259a11edd3e83e82c1c6dd9d',1,'arm_compute::CLEdgeTraceKernel::configure()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombineKernel::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombineKernel::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtractKernel::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtractKernel::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a109e7bd51a51a6aecaa2402a06deb3a7',1,'arm_compute::CLCol2ImKernel::configure()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvertKernel::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvertKernel::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb',1,'arm_compute::CLConvolutionKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f',1,'arm_compute::CLSeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436',1,'arm_compute::CLSeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#abcf9df2e9d1da8abf27ca1678951673f',1,'arm_compute::CLConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a9b9e5f5eda4acf7ca7c94e281dff7a34',1,'arm_compute::CLCopyKernel::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a6f53fcc87865ecf2868305b85ec7460b',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a96671071c32559313f5827c5487f9f72',1,'arm_compute::CLDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#ac8fd96dc84b439ae650ee005b8fa6455',1,'arm_compute::CLDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a0958dbd0887df9802a2433316e8fc6b7',1,'arm_compute::CLDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#ab4ce8dea224953952665e2b0d3e0ece7',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLDerivativeKernel::configure()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLDilateKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a5fcbc12271b2180b57b5a74d421d0448',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLErodeKernel::configure()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a84deccfff9f686445194594e058284bf',1,'arm_compute::CLFastCornersKernel::configure()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a1d8f06853b678915058ff9e8259948b3',1,'arm_compute::CLCopyToArrayKernel::configure()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06',1,'arm_compute::CLFillBorderKernel::configure()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayerKernel::configure()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloorKernel::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#afd2d183e25b5152a0cfbd899018ec3cf',1,'arm_compute::CLGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a4ed20a874d049cc5042bfbe7f81733a3',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a094cc43211df267051139e766f002d77',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a33fe5175eae0e28983aad913a69fb136',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#afac9564563d8a9c3219cf20e81d29314',1,'arm_compute::ICLGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a613f25e524dbabbff55ea9d7df53c7f6',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#aa526095c6ddce38f2ef22d45e18e2fe2',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#acd42d73bdf14e61d6414450f134e9651',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a00ca198bac061a1fdfbb4246e7048e63',1,'arm_compute::CLGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a402bc3f15cdaa56d105f3954fb4ea876',1,'arm_compute::CLGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a9718c86f3b9141ca3f05ede073e17d12',1,'arm_compute::CLGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchorsKernel::configure()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#aab77e3e19e73caf469b27792d710a3be',1,'arm_compute::CLHarrisScoreKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramBorderKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#aee747cfad262c60d10befc32e5315e4e',1,'arm_compute::CLHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae2df93f92808deb66ddc274ee9b27307',1,'arm_compute::CLHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ad2a21fbefb021552240795ae5b7e8095',1,'arm_compute::CLHOGDetectorKernel::configure()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a6bc1be5100f77f4a136d8935b06d5ac6',1,'arm_compute::CLIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImageHorKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a2ee43bea6ad1257f88be93bdd4fff2cf',1,'arm_compute::CLIntegralImageVertKernel::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ad7ee2c6ba4a132418b0c5d76809c1b8d',1,'arm_compute::CLL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#adc3ba3031b85b80ceacde189d1ebe2aa',1,'arm_compute::CLLKTrackerInitKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5',1,'arm_compute::CLLKTrackerFinalizeKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#af50d75c9037fab52ec75dd9be62103a3',1,'arm_compute::CLLKTrackerStage0Kernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#ad4e047471bcabdeae5c07e1ed627ce64',1,'arm_compute::CLLKTrackerStage1Kernel::configure()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a97c0a4edbeca3c32dda036b81446a4d9',1,'arm_compute::CLMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082',1,'arm_compute::CLMeanStdDevKernel::configure()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLMedian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#aebb9f67d374f696f9b064422b055072f',1,'arm_compute::CLMemsetKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#abc0a058391c8944b83257ec47b0211b9',1,'arm_compute::CLMinMaxKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#aaac9d68119e223b67847deb43021630f',1,'arm_compute::CLMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a09ed8b2a062c440ad00a290624c39319',1,'arm_compute::CLNonLinearFilterKernel::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a63cacfe183fc86f74c1f3788b14f88da',1,'arm_compute::CLNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermuteKernel::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a3e0a2f39d9dc0f7083aef3b37335afff',1,'arm_compute::CLPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a13226200322fb9ca881174695946705c',1,'arm_compute::CLPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a011d273b10af543a37a8d27a8267e1f2',1,'arm_compute::CLPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a33657445d6cf5905c0b74e566f769069',1,'arm_compute::CLQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#aa895004d9c98611ee8b77a512bd85b82',1,'arm_compute::CLReductionOperationKernel::configure()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#ad55d92eda4737d79e57dfdf99e447fb3',1,'arm_compute::CLRemapKernel::configure()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#afde206f970de174fc68395757ff451a9',1,'arm_compute::CLReorgLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#afb23d18dd11dece42afaf022216d3056',1,'arm_compute::CLROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aa6d582c489816426715ac5cdcf079334',1,'arm_compute::CLScaleKernel::configure()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLScharr3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel7x7HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel7x7VertKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a',1,'arm_compute::CLLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794',1,'arm_compute::CLLogits1DNormKernel::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a204b850eee892b4b6e0cccc160327b34',1,'arm_compute::CLStridedSliceKernel::configure()'],['../classarm__compute_1_1_c_l_table_lookup_kernel.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookupKernel::configure()'],['../classarm__compute_1_1_c_l_threshold_kernel.xhtml#af95973be8cc372e60a6872e18176d1de',1,'arm_compute::CLThresholdKernel::configure()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTransposeKernel::configure()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a96684c902f976541178bf6fee2342c2b',1,'arm_compute::CLUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpAffineKernel::configure()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpPerspectiveKernel::configure()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a32630202628891fb30458ef84581ad2a',1,'arm_compute::CLWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLWidthConcatenate2TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#ab830c43458598cdfd7d2f8751e2009b0',1,'arm_compute::CLWidthConcatenate4TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a055116cefc341baaeba1dd9fb25e0432',1,'arm_compute::CLWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradFilterTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradInputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a87b8490ebd6249b86c82146c81814fbd',1,'arm_compute::CLWinogradOutputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayerKernel::configure()'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ab60ae5748eb0078dc0c69f57f5ead044',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::configure()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a4a5bcfcb1a9a25daecc442af866f0632',1,'arm_compute::CPPCornerCandidatesKernel::configure()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ad56ff9909955d92abeabbe43c1a21bd9',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::configure()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::CPPFlipWeightsKernel::configure()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermuteKernel::configure()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a5bcc803e3a8b159ba7f09acb25dba452',1,'arm_compute::CPPSortEuclideanDistanceKernel::configure()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsampleKernel::configure()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a86c574f15dfe0d3176db14c5b61e93c8',1,'arm_compute::IGCSimpleKernel::configure()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a532d29716a4ea6315294f4d892ce34ce',1,'arm_compute::GCBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a1aebc8a9a10fb43c9a39d241d0c11338',1,'arm_compute::GCCol2ImKernel::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#aa304f590ac74910d1b8fd316c3011f10',1,'arm_compute::GCDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a7f6e3974ca16d20064fe794c5334c410',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab904c60f24f8f8f44e24d71f337c86a9',1,'arm_compute::GCDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayerKernel::configure()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a148acc5bac0dddc8d512b4d91bd2a7ba',1,'arm_compute::GCFillBorderKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#ad9780f8be8833600c97e756bf6d5082b',1,'arm_compute::GCGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ada3b192e7f6ec5a8950b57fae93e9166',1,'arm_compute::GCGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a2461b3d633deab1e051da8170c959b2a',1,'arm_compute::GCIm2ColKernel::configure()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a0fe8c14c103310596d49a4418852a1d8',1,'arm_compute::GCNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad55c5127caaf1bfa070bf696912c2605',1,'arm_compute::GCPoolingLayerKernel::configure()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#afeaa46f1b40b37692d80cb38c426e4d6',1,'arm_compute::GCScaleKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_max_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a9b315185b36dd900eb209d005d630310',1,'arm_compute::GCLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#adeaa28cbd0f25f372fca145853a763ad',1,'arm_compute::GCLogits1DNormKernel::configure()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShiftKernel::configure()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTransposeKernel::configure()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a2ea575697d78a178f34e75ae9b410069',1,'arm_compute::GCWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#aed51cd474d496c265ab8e929f39dc01b',1,'arm_compute::NEAccumulateKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ad3a581db799a5767c08d8f35a4a6a39a',1,'arm_compute::NEAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ae228f773f5a010373010a0851ab18663',1,'arm_compute::NEAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAndKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNotKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOrKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXorKernel::configure()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEBox3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a0c6175a719b3ef4c20d8e2fc45d6990d',1,'arm_compute::NEGradientKernel::configure()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a57a36344e261edfdfa97b19ac40b7c30',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NEEdgeTraceKernel::configure()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombineKernel::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombineKernel::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtractKernel::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtractKernel::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2ImKernel::configure()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvertKernel::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvertKernel::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222',1,'arm_compute::NEConvolutionKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625',1,'arm_compute::NESeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22',1,'arm_compute::NESeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9',1,'arm_compute::NEConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NECopyKernel::configure()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a46fb538865fc693f55ec7ab7a5e5f833',1,'arm_compute::NECumulativeDistributionKernel::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aae09154c5d796f6db2488902c18a9085',1,'arm_compute::NEDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abdb04567f7268ac53524f539ac95e6ab',1,'arm_compute::NEDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a29d3078f38e36beb0ceb70defdc2fae4',1,'arm_compute::NEDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a95a64af5eae0984b395d5fbebff9601c',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEDerivativeKernel::configure()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEDilateKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a537ba0d35bcc8d5488da55d1a27c89a3',1,'arm_compute::NEDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a470bdfe5ac891c030b8d196574ba17ef',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEErodeKernel::configure()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a39d3a9d0c6485af41190686e323b77cc',1,'arm_compute::NEFastCornersKernel::configure()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#afa45181af3fb6daaa8aa5627c1ae6c43',1,'arm_compute::NEFillArrayKernel::configure()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a12f5fc5a4fc18544922aebb0fcbf4eb6',1,'arm_compute::NEFillBorderKernel::configure()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a20f5ced683d0dee51545a9df41f0080a',1,'arm_compute::NEFillInnerBorderKernel::configure()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayerKernel::configure()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a5c38898607a293553b7eb9400bcf47c4',1,'arm_compute::NEGEMMAssemblyBaseKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ac2d2c3aba01ee0bb08be57a5997f1cab',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a21be396e5269651901fc70aad74cfafb',1,'arm_compute::INEGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a337aaba1994da7f890b56198dced037d',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a673dafe3735e42124b5104dfe64745ff',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aed1adf983092c2f8af29eba1dc29920c',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#abd3df2f9251266926538e4c020652996',1,'arm_compute::NEGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a4ee07709711414457834cc5d1c2c6cdb',1,'arm_compute::NEGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a78f06197fd4f4fb471c21257252031ec',1,'arm_compute::INEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ae3278fce9a66ca7603efcb367e6b3816',1,'arm_compute::NEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aa6f4a855483e2d24a509181faa893b75',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output, uint32_t *local_hist, uint32_t *window_lut)'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output)'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a1ca4abc9d169a56f8469b31bba439f05',1,'arm_compute::NEHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#abe08b9f8d4a3bd083ebae3d1cb65a2b5',1,'arm_compute::NEHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab30727bb790077928853eb3c617bb632',1,'arm_compute::NEHOGDetectorKernel::configure()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImageKernel::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a7b9a0d39ba4aa3e6feba587a149d69e5',1,'arm_compute::NEL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a9db04388927168bc8d9423087dfa8a6d',1,'arm_compute::NELKTrackerKernel::configure()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a885b754efced9144226ada4c202574b6',1,'arm_compute::NEMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a22fb6b7d1bd5ce8a90c61780c94cebbb',1,'arm_compute::NEMeanStdDevKernel::configure()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEMedian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#aa977f349fb2c7d5ae7cd41fee339668a',1,'arm_compute::NEMinMaxKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab85de2b20def413700f940020fe8d7e3',1,'arm_compute::NENonLinearFilterKernel::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NENonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7b1cd624e23b7144b6962c19f426a166',1,'arm_compute::NENormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermuteKernel::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab214c0eb5acd40bde3f8a3fb6c0a6613',1,'arm_compute::NEPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#acfc7162ac184ca219f917d039c58233c',1,'arm_compute::NEPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a84481fca3a7ab8e4b5035ba8b8170de3',1,'arm_compute::NEReductionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a24cf804e6bcb60737bf447693c87d616',1,'arm_compute::NERemapKernel::configure()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#adeb567b082b0ce7612d13bc1068db5d8',1,'arm_compute::NEROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa13b6f52790e5ec90e37a9834611c1c8',1,'arm_compute::NEScaleKernel::configure()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEScharr3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a1aea9496b59f665829dfebcac7c6e8f3',1,'arm_compute::NESobel5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel7x7HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ad97cc0c4d977253aa096953ff5aefcae',1,'arm_compute::NESobel7x7VertKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NELogits1DMaxKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ad7a5f63cd7550fd2712d6c0e1e677419',1,'arm_compute::NELogits1DSoftmaxKernel::configure()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookupKernel::configure()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d39d8cd067212d4e6d93d5619acb59e',1,'arm_compute::NEThresholdKernel::configure()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETransposeKernel::configure()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ac96f4300f1def899a8e029d7ea9dc050',1,'arm_compute::NEUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a1aad3191e6d0d90fa0114a355ac52991',1,'arm_compute::INEWarpKernel::configure()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a82ef5733f0c6bf93473ec5f12c067338',1,'arm_compute::NEWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a3b79db59a7b23f2d26d21c618343f40c',1,'arm_compute::NEWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a75659fbb7d7929b4494bee1969fd4b9e',1,'arm_compute::INEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a326ad83c687d67a9e7cd36d1d03f7d9b',1,'arm_compute::NEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a4e3a05a0aa351da358238d945fbc4de7',1,'arm_compute::INEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a2b01c230c011d65c44f8e4cb316be002',1,'arm_compute::NEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayerKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifference::configure()'],['../classarm__compute_1_1_c_l_accumulate.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulate::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeighted::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquared::configure()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayer::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticAddition::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLArithmeticDivision::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticSubtraction::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a8f62be2862965a1c3c81b683ad679170',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, int32_t block_shape_x, int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAnd::configure()'],['../classarm__compute_1_1_c_l_bitwise_not.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNot::configure()'],['../classarm__compute_1_1_c_l_bitwise_or.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOr::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXor::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransform::configure()'],['../classarm__compute_1_1_c_l_box3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLBox3x3::configure()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#aa874f9e002bdb799f38411a5fef07b1d',1,'arm_compute::CLCannyEdge::configure()'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombine::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombine::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtract::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtract::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayer::configure()'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvert::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvert::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchors::configure()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#af2697561aa0a29dc989880d72a14e2e2',1,'arm_compute::CLConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolution3x3::configure()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolutionSquare::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2',1,'arm_compute::CLConvolutionRectangle::configure()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ae0c61dabbcfeda5c7f01a7ae66e58b2c',1,'arm_compute::CLConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_copy.xhtml#ad1a757fab7094ad4f38bdd11d369f6ae',1,'arm_compute::CLCopy::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a68de418b8175bca40450f63405172bd1',1,'arm_compute::CLDeconvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#afefc21cb9bbf278c5110778f28960b10',1,'arm_compute::CLDeconvolutionLayerUpsample::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a83ae088f4aecbc4c16f279352448d845',1,'arm_compute::CLDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ae536ece130ddb5e22e7f11e6b67f1673',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#af82e4a3d1702751e2d6aca04702adf26',1,'arm_compute::CLDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#af7ca3f45f6dbfc7737c75fbf91fcc4c5',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayer::configure()'],['../classarm__compute_1_1_c_l_derivative.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLDerivative::configure()'],['../classarm__compute_1_1_c_l_dilate.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLDilate::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c',1,'arm_compute::CLDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#a78c50e58e4c8be6de11ac6e78ca02eff',1,'arm_compute::CLEqualizeHistogram::configure()'],['../classarm__compute_1_1_c_l_erode.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLErode::configure()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ac519f19806984be1fddf6c04ea508626',1,'arm_compute::CLFastCorners::configure()'],['../classarm__compute_1_1_c_l_fill_border.xhtml#acd47b636ec90ab214e6f194989ea7af5',1,'arm_compute::CLFillBorder::configure()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayer::configure()'],['../classarm__compute_1_1_c_l_floor.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloor::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ab205e8e07c4eff3197d0c8cc85a4488d',1,'arm_compute::CLFullyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalization::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian3x3::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian5x5::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#ae518f24b88a33e296030407e1a42d5fb',1,'arm_compute::CLGaussianPyramid::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5',1,'arm_compute::CLGEMM::configure()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ace0b4143d0ca4435da8123ac9073e59c',1,'arm_compute::CLConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ac485da01d91da9e1c97a7da2b9b91ad5',1,'arm_compute::CLGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a01a8a849ea1f7fb96263093b7d6978a9',1,'arm_compute::CLGenerateProposalsLayer::configure()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#a1c35ef0fadb16911061a0a54be3c17af',1,'arm_compute::CLHarrisCorners::configure()'],['../classarm__compute_1_1_c_l_histogram.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogram::configure()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#aa13cb80b9e2387f342aa75b205529a10',1,'arm_compute::CLHOGDescriptor::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#af3f7d04fe1de62ddbed7bf165c9d7ec8',1,'arm_compute::CLHOGDetector::configure()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#a229bdf53bc1dad3b2408d48db8bcaa96',1,'arm_compute::CLHOGGradient::configure()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ab5d20af02c277cdfdb18dc5ead27ffb7',1,'arm_compute::CLHOGMultiDetection::configure()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImage::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a38db42f03d3dad52b9ddc3fab7cbfa1e',1,'arm_compute::CLL2NormalizeLayer::configure()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#affa012258b464b065d72cc26657119d4',1,'arm_compute::CLLaplacianPyramid::configure()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#a129d848ae0d03b4d4dcbc5e3763623cf',1,'arm_compute::CLLaplacianReconstruct::configure()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLLocallyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa0f7635e5dffc50c235e8879637f7462',1,'arm_compute::CLLSTMLayer::configure()'],['../classarm__compute_1_1_c_l_magnitude.xhtml#a1741c99b2bc2b77bb719d185d52968e2',1,'arm_compute::CLMagnitude::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c',1,'arm_compute::CLMeanStdDev::configure()'],['../classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLMedian3x3::configure()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a8ddb1ad6ae46202fbdc5fb1034b1abd3',1,'arm_compute::CLMinMaxLocation::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter.xhtml#a53cae19fbb200bd9479868919e9045ee',1,'arm_compute::CLNonLinearFilter::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3.xhtml#a1a3dfd8c194044e7aafeafe5ca8dce59',1,'arm_compute::CLNonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ab1b1b768d23eaf10f5f810436c4c856e',1,'arm_compute::CLNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601',1,'arm_compute::CLOpticalFlow::configure()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a636e98cb50c051f148f7a811f5000bf3',1,'arm_compute::CLPadLayer::configure()'],['../classarm__compute_1_1_c_l_permute.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermute::configure()'],['../classarm__compute_1_1_c_l_phase.xhtml#ac64385feb4cfd5ea1f7e2dc4414392aa',1,'arm_compute::CLPhase::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#ab49eaee7b0a9443f7cbd3a73fd0bf2b2',1,'arm_compute::CLPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#a18f66b53b41f27ca9942695488d8c7aa',1,'arm_compute::CLPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a2620e3db79dcdb5c7596de1c9bb5d8dd',1,'arm_compute::CLPriorBoxLayer::configure()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLQuantizationLayer::configure()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ac43ed2b0714a5af0ce1916c03e60cb40',1,'arm_compute::CLReduceMean::configure()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a01cf6dddf3f8768da106527d2f1ee7c5',1,'arm_compute::CLReductionOperation::configure()'],['../classarm__compute_1_1_c_l_remap.xhtml#ac1eb01546c2f93af14ee04f4a0f8c30a',1,'arm_compute::CLRemap::configure()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#a11c13a920a4b8c61aaf6a92bd2ece880',1,'arm_compute::CLReorgLayer::configure()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayer::configure()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a',1,'arm_compute::CLRNNLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml#afb23d18dd11dece42afaf022216d3056',1,'arm_compute::CLROIPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa5f9a9b25bd6f529c29939f6269d59f5',1,'arm_compute::CLScale::configure()'],['../classarm__compute_1_1_c_l_scharr3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLScharr3x3::configure()'],['../classarm__compute_1_1_c_l_slice.xhtml#ae883a7cb96f6111b0e8bf3a64842c438',1,'arm_compute::CLSlice::configure()'],['../classarm__compute_1_1_c_l_sobel3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel3x3::configure()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel5x5::configure()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel7x7::configure()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ae3fdd368418ef45db831786e741ea1bb',1,'arm_compute::CLSoftmaxLayer::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_split.xhtml#afcb41f18e93cefd65fe2e1ba5abce65f',1,'arm_compute::CLSplit::configure()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a5d801cf9e04174c1898753ef8efb004f',1,'arm_compute::CLStridedSlice::configure()'],['../classarm__compute_1_1_c_l_table_lookup.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookup::configure()'],['../classarm__compute_1_1_c_l_threshold.xhtml#a62c37ae969be3b04e0bdceffb4a1dadb',1,'arm_compute::CLThreshold::configure()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTranspose::configure()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#aff07d307883c8ef914c2fac1ec8bfbb8',1,'arm_compute::CLUpsampleLayer::configure()'],['../classarm__compute_1_1_c_l_warp_affine.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpAffine::configure()'],['../classarm__compute_1_1_c_l_warp_perspective.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpPerspective::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#af4ddbd4c29dde0d597d24b4e437a0474',1,'arm_compute::CLWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a795a5e806f4334092fc9f491fe794998',1,'arm_compute::CLWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a703fa268e40647a42ebded33750fe74e',1,'arm_compute::CLWinogradInputTransform::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayer::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimit::configure()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermute::configure()'],['../classarm__compute_1_1_c_p_p_upsample.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsample::configure()'],['../classarm__compute_1_1_g_c_absolute_difference.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifference::configure()'],['../classarm__compute_1_1_g_c_activation_layer.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayer::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAddition::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ab66d55b5fca2d08c253e4e9a37f9c6bc',1,'arm_compute::GCBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#a35aacc414eddf01fa5ae44483c110a33',1,'arm_compute::GCConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a9d4bf10fbda1b7ca0b4c205512dc5a93',1,'arm_compute::GCConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a23b17ec4756c9c9ab563617773e01f3a',1,'arm_compute::GCDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#aeb446e905def41593c0d479215fd32a3',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a17f216ad80126a2e84cd8c1210b9d1da',1,'arm_compute::GCDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayer::configure()'],['../classarm__compute_1_1_g_c_fill_border.xhtml#af8e3f0c5652d8264b400eac38324e3bc',1,'arm_compute::GCFillBorder::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0effb36388142226203c802f31614634',1,'arm_compute::GCFullyConnectedLayer::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a8184f9bf2e8f4fdc16cfe7812e229d95',1,'arm_compute::GCGEMM::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#a8d636dd5daa60351d1c2b941a9260ed6',1,'arm_compute::GCNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ab012a57f810664a63407e5ffa21bbf5c',1,'arm_compute::GCPoolingLayer::configure()'],['../classarm__compute_1_1_g_c_scale.xhtml#a8a339354a1e4d09de5a3022e4f20d0d2',1,'arm_compute::GCScale::configure()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#a87e0f86361e9b6d237464d91ce76fbfa',1,'arm_compute::GCSoftmaxLayer::configure()'],['../classarm__compute_1_1_g_c_tensor_shift.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShift::configure()'],['../classarm__compute_1_1_g_c_transpose.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTranspose::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#a94f886defb7bb45794dffcabc41f9df3',1,'arm_compute::NEGEMMInterleavedWrapper::configure()'],['../classarm__compute_1_1_n_e_absolute_difference.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifference::configure()'],['../classarm__compute_1_1_n_e_accumulate.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEAccumulate::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted.xhtml#a801bafb0db80b93605302dac80a59844',1,'arm_compute::NEAccumulateWeighted::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08',1,'arm_compute::NEAccumulateSquared::configure()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayer::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticAddition::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticSubtraction::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_bitwise_and.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAnd::configure()'],['../classarm__compute_1_1_n_e_bitwise_not.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNot::configure()'],['../classarm__compute_1_1_n_e_bitwise_or.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOr::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXor::configure()'],['../classarm__compute_1_1_n_e_box3x3.xhtml#a61457d73c8ae60ad9f4cc00089e282c7',1,'arm_compute::NEBox3x3::configure()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a0626bbb35eb3e06a00802bbfeecf4f47',1,'arm_compute::NECannyEdge::configure()'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombine::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombine::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtract::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtract::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayer::configure()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2Im::configure()'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvert::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvert::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#ab70441cdeeff00a0b3d22b74ded95251',1,'arm_compute::NEConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolution3x3::configure()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolutionSquare::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle.xhtml#ac230ba3519565b12566edfdd99859ed0',1,'arm_compute::NEConvolutionRectangle::configure()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a267ccefe12296abe0f816cc9456a519a',1,'arm_compute::NEConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_copy.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NECopy::configure()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af7844db7c841f3f117547b7bd6ccfc55',1,'arm_compute::NEDeconvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#a9b66b91468f1f0d9c49b68a773530482',1,'arm_compute::NEDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#a1d1923da1e9f49c28bf0b38c27b7eb8c',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayer::configure()'],['../classarm__compute_1_1_n_e_derivative.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEDerivative::configure()'],['../classarm__compute_1_1_n_e_dilate.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEDilate::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#af63dd2106fa1a4083e57d8816b4b2048',1,'arm_compute::NEDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#acbd66cc67e7dedcc3d94a7ab0be5781c',1,'arm_compute::NEEqualizeHistogram::configure()'],['../classarm__compute_1_1_n_e_erode.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEErode::configure()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#a182eb968f1c107bf5ee575cb1b7f031c',1,'arm_compute::NEFastCorners::configure()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ab2db56d349cee3849dbfac825d916fd6',1,'arm_compute::NEFillBorder::configure()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayer::configure()'],['../classarm__compute_1_1_n_e_floor.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloor::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49',1,'arm_compute::NEFullyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian3x3::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian5x5::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a569064c220a3a2bf4b7af719b8d54cba',1,'arm_compute::NEGaussianPyramid::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a385241dcc5062af6ecac8bdafe01bb2a',1,'arm_compute::NEGEMM::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aeaf9e7d6e24ea7e4de46ed92a0c4aa3d',1,'arm_compute::NEGEMMAssemblyDispatch::configure()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a61ca4e4a2e1326e12855748838eab503',1,'arm_compute::NEConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a97f4fd717623515cacaa206a889933ce',1,'arm_compute::NEGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ab6b3c14dd280e6af9d37e4347a56417e',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ae939cbc6a8a6747f193bfe8b54a7881c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#aa74c5caac74b27db3319b4a5710f7a98',1,'arm_compute::NEHarrisCorners::configure()'],['../classarm__compute_1_1_n_e_histogram.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogram::configure()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#af3e91dd25d2bd7d3f3a0c74cdc77d7c4',1,'arm_compute::NEHOGDescriptor::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector.xhtml#aec1e0dba94a632dc99953a9015684115',1,'arm_compute::NEHOGDetector::configure()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ac6ae2d00f75c768927d9529998608aaa',1,'arm_compute::NEHOGGradient::configure()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a8fa7fa549af77189982f584036c14271',1,'arm_compute::NEHOGMultiDetection::configure()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2Col::configure()'],['../classarm__compute_1_1_n_e_integral_image.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImage::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a0d248571810a368dcd004e928bd77345',1,'arm_compute::NEL2NormalizeLayer::configure()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a57e777ebd638595cbcaff4c45dbaa351',1,'arm_compute::NELaplacianPyramid::configure()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae',1,'arm_compute::NELaplacianReconstruct::configure()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a38198731404a741d75225ae36baf100a',1,'arm_compute::NELocallyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa899feaf94d69eb04afb0cd412869548',1,'arm_compute::NELSTMLayer::configure()'],['../classarm__compute_1_1_n_e_magnitude.xhtml#a1aa524e83bd73b149831dc0bb6e39e7e',1,'arm_compute::NEMagnitude::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#a95812d053b0216b1d9c1f5131db6e880',1,'arm_compute::NEMeanStdDev::configure()'],['../classarm__compute_1_1_n_e_median3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEMedian3x3::configure()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocation::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter.xhtml#ae2e668c3765731c5f71a324e15f131b8',1,'arm_compute::NENonLinearFilter::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3.xhtml#a6c9ef0526118071156055c1e2c2ca0c4',1,'arm_compute::NENonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a89681b033dd94cd53456d7365a91f7cd',1,'arm_compute::NENormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c',1,'arm_compute::NEOpticalFlow::configure()'],['../classarm__compute_1_1_n_e_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermute::configure()'],['../classarm__compute_1_1_n_e_phase.xhtml#adcb14816dc8d62ecdc185f4d3f1cd4d4',1,'arm_compute::NEPhase::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a080bc209f47babf3bc587f49b4286e53',1,'arm_compute::NEPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#a6fa6e4b65796fd0bf43da9b4d617d568',1,'arm_compute::NEPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayer::configure()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEQuantizationLayer::configure()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ac741a3edd9fdd407099870bbb27925d7',1,'arm_compute::NEReduceMean::configure()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434',1,'arm_compute::NEReductionOperation::configure()'],['../classarm__compute_1_1_n_e_remap.xhtml#a7570555ae5933bef168425e55a1a11a9',1,'arm_compute::NERemap::configure()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayer::configure()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayer::configure()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a23ed39a3f37b8b100cec84427d55f9cf',1,'arm_compute::NERNNLayer::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#adeb567b082b0ce7612d13bc1068db5d8',1,'arm_compute::NEROIPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_scale.xhtml#aca08ed3f0e23d0eb32f60dc8a468bb4b',1,'arm_compute::NEScale::configure()'],['../classarm__compute_1_1_n_e_scharr3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEScharr3x3::configure()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a5cd27b57fe542fb50f512bb55b7a2cdc',1,'arm_compute::NESimpleAssemblyFunction::configure()'],['../classarm__compute_1_1_n_e_sobel3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel3x3::configure()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel5x5::configure()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel7x7::configure()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#aa4aee9a6c9abb0cfbcbf1727de23070c',1,'arm_compute::NESoftmaxLayer::configure()'],['../classarm__compute_1_1_n_e_table_lookup.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookup::configure()'],['../classarm__compute_1_1_n_e_threshold.xhtml#ad5e6dc9965405ea5d7d1cda26a14644c',1,'arm_compute::NEThreshold::configure()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETranspose::configure()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#af08de360b50a6fe2243fc1158433897f',1,'arm_compute::NEUpsampleLayer::configure()'],['../classarm__compute_1_1_n_e_warp_affine.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpAffine::configure()'],['../classarm__compute_1_1_n_e_warp_perspective.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpPerspective::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#aca6848c68c65ecb22b22395c41ea1701',1,'arm_compute::NEWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a49b542b1a17cd73034736acfa562a8ec',1,'arm_compute::NEWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayer::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::CLSynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::CLSynthetizeFunctionWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::NESynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::NESynthetizeFunctionWithZeroConstantBorder::configure()']]],
+  ['configure',['configure',['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a1a4031af60bf9aff1b58a3acf3c95fae',1,'arm_compute::ICLSimpleKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_kernel.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulateKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted_kernel.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared_kernel.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a594b089aecb32029f92043028d98cb9a',1,'arm_compute::CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAndKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_not_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNotKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOrKernel::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXorKernel::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransformKernel::configure()'],['../classarm__compute_1_1_c_l_box3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLBox3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#ad67340e556964fbc6aee83f7b2ff8101',1,'arm_compute::CLGradientKernel::configure()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a209e05c2e2bf4d5fb2b9e3f75c7d79aa',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#af4b40677259a11edd3e83e82c1c6dd9d',1,'arm_compute::CLEdgeTraceKernel::configure()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombineKernel::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombineKernel::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtractKernel::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtractKernel::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a109e7bd51a51a6aecaa2402a06deb3a7',1,'arm_compute::CLCol2ImKernel::configure()'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvertKernel::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvertKernel::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvertKernel::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a9eb86fbe4825b43b638171bb6dd398c3',1,'arm_compute::CLComparisonKernel::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb',1,'arm_compute::CLConvolutionKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f',1,'arm_compute::CLSeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436',1,'arm_compute::CLSeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#abcf9df2e9d1da8abf27ca1678951673f',1,'arm_compute::CLConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a9b9e5f5eda4acf7ca7c94e281dff7a34',1,'arm_compute::CLCopyKernel::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a6f53fcc87865ecf2868305b85ec7460b',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a96671071c32559313f5827c5487f9f72',1,'arm_compute::CLDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer_kernel.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NCHWKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a80ef2daf9e40f7b6d947b4ce8e35a0fb',1,'arm_compute::CLDepthwiseConvolutionLayer3x3NHWCKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#ab4ce8dea224953952665e2b0d3e0ece7',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a49b7bf6e6b7fc07e9fcbca39c7f77715',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#ac8fd96dc84b439ae650ee005b8fa6455',1,'arm_compute::CLDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a0958dbd0887df9802a2433316e8fc6b7',1,'arm_compute::CLDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLDerivativeKernel::configure()'],['../classarm__compute_1_1_c_l_dilate_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLDilateKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a5fcbc12271b2180b57b5a74d421d0448',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml#ad09d2ed1f19a1df9b87da20af7efaff9',1,'arm_compute::CLSaturatedArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_c_l_arithmetic_operation_kernel.xhtml#a498e5769090f1436cc0191dfa5580c2e',1,'arm_compute::CLArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_c_l_element_wise_unary_layer_kernel.xhtml#aaa37b1a72550a67d868895310b5aba7b',1,'arm_compute::CLElementWiseUnaryLayerKernel::configure()'],['../classarm__compute_1_1_c_l_erode_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLErodeKernel::configure()'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a84deccfff9f686445194594e058284bf',1,'arm_compute::CLFastCornersKernel::configure()'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a1d8f06853b678915058ff9e8259948b3',1,'arm_compute::CLCopyToArrayKernel::configure()'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#ae1b9fe62ed42f469f1de879c33d75c06',1,'arm_compute::CLFillBorderKernel::configure()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayerKernel::configure()'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloorKernel::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a290dbeba031997a9d489f235e921bee7',1,'arm_compute::CLGatherKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#afd2d183e25b5152a0cfbd899018ec3cf',1,'arm_compute::CLGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a4ed20a874d049cc5042bfbe7f81733a3',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#aa7967bee001197b8642e30d4efaa96cc',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a094cc43211df267051139e766f002d77',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a33fe5175eae0e28983aad913a69fb136',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#afac9564563d8a9c3219cf20e81d29314',1,'arm_compute::ICLGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a613f25e524dbabbff55ea9d7df53c7f6',1,'arm_compute::CLGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#aa526095c6ddce38f2ef22d45e18e2fe2',1,'arm_compute::CLGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#acd42d73bdf14e61d6414450f134e9651',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a00ca198bac061a1fdfbb4246e7048e63',1,'arm_compute::CLGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a0942a675b9d4670f019d2c538eb46f2d',1,'arm_compute::CLGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a4724e2ca299180476c2fd66bb92d3ba5',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#aa65a9cf45dc5c7c2c96fd57ecc8d2ec8',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aa0b0eaffc9a83e1a6495d957b63bbccc',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w_kernel.xhtml#a9718c86f3b9141ca3f05ede073e17d12',1,'arm_compute::CLGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchorsKernel::configure()'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#aab77e3e19e73caf469b27792d710a3be',1,'arm_compute::CLHarrisScoreKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramKernel::configure()'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogramBorderKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#aee747cfad262c60d10befc32e5315e4e',1,'arm_compute::CLHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae2df93f92808deb66ddc274ee9b27307',1,'arm_compute::CLHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ad2a21fbefb021552240795ae5b7e8095',1,'arm_compute::CLHOGDetectorKernel::configure()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a6bc1be5100f77f4a136d8935b06d5ac6',1,'arm_compute::CLIm2ColKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_hor_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImageHorKernel::configure()'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a2ee43bea6ad1257f88be93bdd4fff2cf',1,'arm_compute::CLIntegralImageVertKernel::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ad7ee2c6ba4a132418b0c5d76809c1b8d',1,'arm_compute::CLL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_init_kernel.xhtml#adc3ba3031b85b80ceacde189d1ebe2aa',1,'arm_compute::CLLKTrackerInitKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5',1,'arm_compute::CLLKTrackerFinalizeKernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#af50d75c9037fab52ec75dd9be62103a3',1,'arm_compute::CLLKTrackerStage0Kernel::configure()'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#ad4e047471bcabdeae5c07e1ed627ce64',1,'arm_compute::CLLKTrackerStage1Kernel::configure()'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a083cbb32c94ef493098ee169dc36c486',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a97c0a4edbeca3c32dda036b81446a4d9',1,'arm_compute::CLMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#a85a25a050f0ff16c3081048085a7d082',1,'arm_compute::CLMeanStdDevKernel::configure()'],['../classarm__compute_1_1_c_l_median3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLMedian3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#aebb9f67d374f696f9b064422b055072f',1,'arm_compute::CLMemsetKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#abc0a058391c8944b83257ec47b0211b9',1,'arm_compute::CLMinMaxKernel::configure()'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#aaac9d68119e223b67847deb43021630f',1,'arm_compute::CLMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter_kernel.xhtml#a09ed8b2a062c440ad00a290624c39319',1,'arm_compute::CLNonLinearFilterKernel::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8',1,'arm_compute::CLNonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#a63cacfe183fc86f74c1f3788b14f88da',1,'arm_compute::CLNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermuteKernel::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a3e0a2f39d9dc0f7083aef3b37335afff',1,'arm_compute::CLPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a13226200322fb9ca881174695946705c',1,'arm_compute::CLPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a011d273b10af543a37a8d27a8267e1f2',1,'arm_compute::CLPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a33657445d6cf5905c0b74e566f769069',1,'arm_compute::CLQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a7efd0212f49bff0c4b5e1319ff63c14d',1,'arm_compute::CLRangeKernel::configure()'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#aa895004d9c98611ee8b77a512bd85b82',1,'arm_compute::CLReductionOperationKernel::configure()'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#ad55d92eda4737d79e57dfdf99e447fb3',1,'arm_compute::CLRemapKernel::configure()'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#afde206f970de174fc68395757ff451a9',1,'arm_compute::CLReorgLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayerKernel::configure()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#afab29173f38632af6e8dbb9b34c03e9c',1,'arm_compute::CLReverseKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayerKernel::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_c_l_scale_kernel.xhtml#aa6d582c489816426715ac5cdcf079334',1,'arm_compute::CLScaleKernel::configure()'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLScharr3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#afb3c068b9a3cd4c394055bd28a3df6f8',1,'arm_compute::CLSelectKernel::configure()'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel3x3Kernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel5x5HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel5x5VertKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ab24f49526202babfe7df925cd326427b',1,'arm_compute::CLSobel7x7HorKernel::configure()'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a3f047ae95fab233f3385d6ddbd590383',1,'arm_compute::CLSobel7x7VertKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa907109679201f35839ab17cbb8cb84a',1,'arm_compute::CLLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac168c44d948adca330a511f2c5c5664e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::configure()'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a9bca697c45946b4c488e500103836794',1,'arm_compute::CLLogits1DNormKernel::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayerKernel::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a353c02b0b3175ec9b7fa6c40423e7223',1,'arm_compute::CLStackLayerKernel::configure()'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a204b850eee892b4b6e0cccc160327b34',1,'arm_compute::CLStridedSliceKernel::configure()'],['../classarm__compute_1_1_c_l_table_lookup_kernel.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookupKernel::configure()'],['../classarm__compute_1_1_c_l_threshold_kernel.xhtml#af95973be8cc372e60a6872e18176d1de',1,'arm_compute::CLThresholdKernel::configure()'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#a6a8a67b9d11870b083b5c7e233d10764',1,'arm_compute::CLTileKernel::configure()'],['../classarm__compute_1_1_c_l_transpose_kernel.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTransposeKernel::configure()'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a96684c902f976541178bf6fee2342c2b',1,'arm_compute::CLUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_c_l_warp_affine_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpAffineKernel::configure()'],['../classarm__compute_1_1_c_l_warp_perspective_kernel.xhtml#aa6f6097800a87984c4fab8ab1fffd65e',1,'arm_compute::CLWarpPerspectiveKernel::configure()'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a32630202628891fb30458ef84581ad2a',1,'arm_compute::CLWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLWidthConcatenate2TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#ab830c43458598cdfd7d2f8751e2009b0',1,'arm_compute::CLWidthConcatenate4TensorsKernel::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a055116cefc341baaeba1dd9fb25e0432',1,'arm_compute::CLWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradFilterTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#add649717b97789f69133093fe9852bb2',1,'arm_compute::CLWinogradInputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a9cbb2ce5deb94bb5e67aaf7bb2c71e73',1,'arm_compute::CLWinogradOutputTransformKernel::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayerKernel::configure()'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ab60ae5748eb0078dc0c69f57f5ead044',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::configure()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a4a5bcfcb1a9a25daecc442af866f0632',1,'arm_compute::CPPCornerCandidatesKernel::configure()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ad56ff9909955d92abeabbe43c1a21bd9',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::configure()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::CPPFlipWeightsKernel::configure()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermuteKernel::configure()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a5bcc803e3a8b159ba7f09acb25dba452',1,'arm_compute::CPPSortEuclideanDistanceKernel::configure()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ac886f64c915621a8a213f760bc0d9134',1,'arm_compute::CPPTopKVKernel::configure()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsampleKernel::configure()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a86c574f15dfe0d3176db14c5b61e93c8',1,'arm_compute::IGCSimpleKernel::configure()'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a532d29716a4ea6315294f4d892ce34ce',1,'arm_compute::GCBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a1aebc8a9a10fb43c9a39d241d0c11338',1,'arm_compute::GCCol2ImKernel::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#aa304f590ac74910d1b8fd316c3011f10',1,'arm_compute::GCDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a7f6e3974ca16d20064fe794c5334c410',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab904c60f24f8f8f44e24d71f337c86a9',1,'arm_compute::GCDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayerKernel::configure()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a148acc5bac0dddc8d512b4d91bd2a7ba',1,'arm_compute::GCFillBorderKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aebd765d07fc0c9401ec83025aa0e13de',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#ad9780f8be8833600c97e756bf6d5082b',1,'arm_compute::GCGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ada3b192e7f6ec5a8950b57fae93e9166',1,'arm_compute::GCGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a2461b3d633deab1e051da8170c959b2a',1,'arm_compute::GCIm2ColKernel::configure()'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a0fe8c14c103310596d49a4418852a1d8',1,'arm_compute::GCNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#ad55c5127caaf1bfa070bf696912c2605',1,'arm_compute::GCPoolingLayerKernel::configure()'],['../classarm__compute_1_1_g_c_scale_kernel.xhtml#afeaa46f1b40b37692d80cb38c426e4d6',1,'arm_compute::GCScaleKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_max_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCLogits1DMaxKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a9b315185b36dd900eb209d005d630310',1,'arm_compute::GCLogits1DShiftExpSumKernel::configure()'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#adeaa28cbd0f25f372fca145853a763ad',1,'arm_compute::GCLogits1DNormKernel::configure()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShiftKernel::configure()'],['../classarm__compute_1_1_g_c_transpose_kernel.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTransposeKernel::configure()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a2ea575697d78a178f34e75ae9b410069',1,'arm_compute::GCWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifferenceKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#aed51cd474d496c265ab8e929f39dc01b',1,'arm_compute::NEAccumulateKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ad3a581db799a5767c08d8f35a4a6a39a',1,'arm_compute::NEAccumulateWeightedKernel::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ae228f773f5a010373010a0851ab18663',1,'arm_compute::NEAccumulateSquaredKernel::configure()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ae549ed675eab6d763ac6ffd18d226c27',1,'arm_compute::NEArithmeticSubtractionKernel::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAndKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNotKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOrKernel::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXorKernel::configure()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEBox3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a0c6175a719b3ef4c20d8e2fc45d6990d',1,'arm_compute::NEGradientKernel::configure()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a57a36344e261edfdfa97b19ac40b7c30',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::configure()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NEEdgeTraceKernel::configure()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombineKernel::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombineKernel::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtractKernel::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtractKernel::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayerKernel::configure()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2ImKernel::configure()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvertKernel::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvertKernel::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvertKernel::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222',1,'arm_compute::NEConvolutionKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625',1,'arm_compute::NESeparableConvolutionHorKernel::configure()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22',1,'arm_compute::NESeparableConvolutionVertKernel::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9',1,'arm_compute::NEConvolutionRectangleKernel::configure()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NECopyKernel::configure()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a46fb538865fc693f55ec7ab7a5e5f833',1,'arm_compute::NECumulativeDistributionKernel::configure()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aae09154c5d796f6db2488902c18a9085',1,'arm_compute::NEDepthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayerKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abdb04567f7268ac53524f539ac95e6ab',1,'arm_compute::NEDepthwiseIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a29d3078f38e36beb0ceb70defdc2fae4',1,'arm_compute::NEDepthwiseVectorToTensorKernel::configure()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a95a64af5eae0984b395d5fbebff9601c',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEDerivativeKernel::configure()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEDilateKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a537ba0d35bcc8d5488da55d1a27c89a3',1,'arm_compute::NEDirectConvolutionLayerKernel::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a470bdfe5ac891c030b8d196574ba17ef',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::configure()'],['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#ada5fe786261e1a1a8e84d1cd6ec557a5',1,'arm_compute::NEArithmeticOperationKernel::configure()'],['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEDivisionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#a800127190e2c741812159a46f38600ef',1,'arm_compute::NEComparisonOperationKernel::configure()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a226d0e7ab004779cc365cff252d7ee37',1,'arm_compute::NEElementwiseUnaryKernel::configure()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEErodeKernel::configure()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a39d3a9d0c6485af41190686e323b77cc',1,'arm_compute::NEFastCornersKernel::configure()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#afa45181af3fb6daaa8aa5627c1ae6c43',1,'arm_compute::NEFillArrayKernel::configure()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a12f5fc5a4fc18544922aebb0fcbf4eb6',1,'arm_compute::NEFillBorderKernel::configure()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a20f5ced683d0dee51545a9df41f0080a',1,'arm_compute::NEFillInnerBorderKernel::configure()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayerKernel::configure()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloorKernel::configure()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a8e03d687365df886b982e25db689df71',1,'arm_compute::NEFuseBatchNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#ac54444a80c4fc9141ca52479ea7650a2',1,'arm_compute::NEGatherKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEGaussian5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidHorKernel::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGaussianPyramidVertKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a5c38898607a293553b7eb9400bcf47c4',1,'arm_compute::NEGEMMAssemblyBaseKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4Kernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ac2d2c3aba01ee0bb08be57a5997f1cab',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure()'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a21be396e5269651901fc70aad74cfafb',1,'arm_compute::INEGEMMLowpReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a337aaba1994da7f890b56198dced037d',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a673dafe3735e42124b5104dfe64745ff',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aed1adf983092c2f8af29eba1dc29920c',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#abd3df2f9251266926538e4c020652996',1,'arm_compute::NEGEMMMatrixAdditionKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a4ee07709711414457834cc5d1c2c6cdb',1,'arm_compute::NEGEMMMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xWKernel::configure()'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a78f06197fd4f4fb471c21257252031ec',1,'arm_compute::INEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ae3278fce9a66ca7603efcb367e6b3816',1,'arm_compute::NEHarrisScoreKernel::configure()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aa6f4a855483e2d24a509181faa893b75',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output, uint32_t *local_hist, uint32_t *window_lut)'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogramKernel::configure(const IImage *input, IDistribution1D *output)'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a1ca4abc9d169a56f8469b31bba439f05',1,'arm_compute::NEHOGOrientationBinningKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#abe08b9f8d4a3bd083ebae3d1cb65a2b5',1,'arm_compute::NEHOGBlockNormalizationKernel::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab30727bb790077928853eb3c617bb632',1,'arm_compute::NEHOGDetectorKernel::configure()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2ColKernel::configure()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImageKernel::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a7b9a0d39ba4aa3e6feba587a149d69e5',1,'arm_compute::NEL2NormalizeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a9db04388927168bc8d9423087dfa8a6d',1,'arm_compute::NELKTrackerKernel::configure()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a00d5b673b5a22ab77fde751ff5330411',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::configure()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a885b754efced9144226ada4c202574b6',1,'arm_compute::NEMagnitudePhaseKernel::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a22fb6b7d1bd5ce8a90c61780c94cebbb',1,'arm_compute::NEMeanStdDevKernel::configure()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NEMedian3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ad2475dd7f19a14f9bf0a602ec33f3631',1,'arm_compute::NEMemsetKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEMinMaxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#aa977f349fb2c7d5ae7cd41fee339668a',1,'arm_compute::NEMinMaxKernel::configure()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocationKernel::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab85de2b20def413700f940020fe8d7e3',1,'arm_compute::NENonLinearFilterKernel::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a165cde4f51d6dc5cb425237cdf7535a4',1,'arm_compute::NENonMaximaSuppression3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7b1cd624e23b7144b6962c19f426a166',1,'arm_compute::NENormalizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermuteKernel::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab214c0eb5acd40bde3f8a3fb6c0a6613',1,'arm_compute::NEPixelWiseMultiplicationKernel::configure()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#acfc7162ac184ca219f917d039c58233c',1,'arm_compute::NEPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayerKernel::configure()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEQuantizationLayerKernel::configure()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a5813dd1e3e37f5741b60d557d2693988',1,'arm_compute::NERangeKernel::configure()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a84481fca3a7ab8e4b5035ba8b8170de3',1,'arm_compute::NEReductionOperationKernel::configure()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a24cf804e6bcb60737bf447693c87d616',1,'arm_compute::NERemapKernel::configure()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayerKernel::configure()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#abaed98d5f33f212b61484a7ef0c53874',1,'arm_compute::NEReverseKernel::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b',1,'arm_compute::NEROIPoolingLayerKernel::configure()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa13b6f52790e5ec90e37a9834611c1c8',1,'arm_compute::NEScaleKernel::configure()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NEScharr3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a1d6424a6b10d91683475029a748ea4a3',1,'arm_compute::NESelectKernel::configure()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel3x3Kernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel5x5HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a1aea9496b59f665829dfebcac7c6e8f3',1,'arm_compute::NESobel5x5VertKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ace7523f9c3073ad82b77e46318a1ea77',1,'arm_compute::NESobel7x7HorKernel::configure()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ad97cc0c4d977253aa096953ff5aefcae',1,'arm_compute::NESobel7x7VertKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NELogits1DMaxKernel::configure()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ad7a5f63cd7550fd2712d6c0e1e677419',1,'arm_compute::NELogits1DSoftmaxKernel::configure()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a2d28b1667b7be3e16a3ff67596f6d62b',1,'arm_compute::NEStackLayerKernel::configure()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ac6f8337063f797e032a0dd6977b12d0c',1,'arm_compute::NEStridedSliceKernel::configure()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookupKernel::configure()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d39d8cd067212d4e6d93d5619acb59e',1,'arm_compute::NEThresholdKernel::configure()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#ad226085cfab135a5367504930fdd189b',1,'arm_compute::NETileKernel::configure()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETransposeKernel::configure()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ac96f4300f1def899a8e029d7ea9dc050',1,'arm_compute::NEUpsampleLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a1aad3191e6d0d90fa0114a355ac52991',1,'arm_compute::INEWarpKernel::configure()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a82ef5733f0c6bf93473ec5f12c067338',1,'arm_compute::NEWeightsReshapeKernel::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a3b79db59a7b23f2d26d21c618343f40c',1,'arm_compute::NEWidthConcatenateLayerKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a75659fbb7d7929b4494bee1969fd4b9e',1,'arm_compute::INEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a326ad83c687d67a9e7cd36d1d03f7d9b',1,'arm_compute::NEWinogradLayerTransformInputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a4e3a05a0aa351da358238d945fbc4de7',1,'arm_compute::INEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a2b01c230c011d65c44f8e4cb316be002',1,'arm_compute::NEWinogradLayerTransformOutputKernel::configure()'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a779dc9599bd3a0aa390ba9d3a1d8d6d1',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayerKernel::configure()'],['../classarm__compute_1_1_c_l_absolute_difference.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLAbsoluteDifference::configure()'],['../classarm__compute_1_1_c_l_accumulate.xhtml#a04e027a7698e425da35a2d1a4adf6c3c',1,'arm_compute::CLAccumulate::configure()'],['../classarm__compute_1_1_c_l_accumulate_weighted.xhtml#a480232581dba02e630dd045e2f80ae87',1,'arm_compute::CLAccumulateWeighted::configure()'],['../classarm__compute_1_1_c_l_accumulate_squared.xhtml#ade36d9a0c92807caac072618a6d9a643',1,'arm_compute::CLAccumulateSquared::configure()'],['../classarm__compute_1_1_c_l_activation_layer.xhtml#a239fea32ba46d038ba350dba58026c45',1,'arm_compute::CLActivationLayer::configure()'],['../classarm__compute_1_1_c_l_arg_min_max_layer.xhtml#a331ee82f6186da06d42766e3c8ad7a7a',1,'arm_compute::CLArgMinMaxLayer::configure()'],['../classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#a2b8fc7ef9b53c8a4e6b13995109ebf18',1,'arm_compute::CLBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a6dcb3fb08a1947b68158ed175d0b60c3',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)'],['../classarm__compute_1_1_c_l_batch_to_space_layer.xhtml#a8f62be2862965a1c3c81b683ad679170',1,'arm_compute::CLBatchToSpaceLayer::configure(const ICLTensor *input, int32_t block_shape_x, int32_t block_shape_y, ICLTensor *output)'],['../classarm__compute_1_1_c_l_bitwise_and.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseAnd::configure()'],['../classarm__compute_1_1_c_l_bitwise_not.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLBitwiseNot::configure()'],['../classarm__compute_1_1_c_l_bitwise_or.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseOr::configure()'],['../classarm__compute_1_1_c_l_bitwise_xor.xhtml#af53d66a8f8dd368d3c06b43c0c6a12f1',1,'arm_compute::CLBitwiseXor::configure()'],['../classarm__compute_1_1_c_l_bounding_box_transform.xhtml#ab70ebf089f4e98eaacb33e43122162f2',1,'arm_compute::CLBoundingBoxTransform::configure()'],['../classarm__compute_1_1_c_l_box3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLBox3x3::configure()'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#aa874f9e002bdb799f38411a5fef07b1d',1,'arm_compute::CLCannyEdge::configure()'],['../classarm__compute_1_1_c_l_cast.xhtml#a055972f8fd1839d8f629808ad7ac8690',1,'arm_compute::CLCast::configure()'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a58e6a56bbed6249ac14e412178c36db1',1,'arm_compute::CLChannelCombine::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_combine.xhtml#a6d6c8541b868e784d3be385087911451',1,'arm_compute::CLChannelCombine::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#a359fed4a61e4568d258d27aee9bc20c4',1,'arm_compute::CLChannelExtract::configure(const ICLTensor *input, Channel channel, ICLTensor *output)'],['../classarm__compute_1_1_c_l_channel_extract.xhtml#af360eaecbadc6e66e1de099aa50c584d',1,'arm_compute::CLChannelExtract::configure(const ICLMultiImage *input, Channel channel, ICLImage *output)'],['../classarm__compute_1_1_c_l_channel_shuffle_layer.xhtml#ac3565f1b98fd3ebfdbe0fa2ff727759a',1,'arm_compute::CLChannelShuffleLayer::configure()'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLColorConvert::configure(const ICLTensor *input, ICLTensor *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a59adec8460b6acba66ff43833ff4d776',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a0240dc06ada517594f39f25d5228b9c7',1,'arm_compute::CLColorConvert::configure(const ICLImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_color_convert.xhtml#a929e4dc37962a830cfa2a20da4470cfa',1,'arm_compute::CLColorConvert::configure(const ICLMultiImage *input, ICLMultiImage *output)'],['../classarm__compute_1_1_c_l_comparison.xhtml#a1b96928290ab87d627ad33755e6e262c',1,'arm_compute::CLComparison::configure()'],['../classarm__compute_1_1_c_l_comparison_static.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLComparisonStatic::configure()'],['../classarm__compute_1_1_c_l_compute_all_anchors.xhtml#a4475c404f4bc3140b493a987d1fa0fc6',1,'arm_compute::CLComputeAllAnchors::configure()'],['../classarm__compute_1_1_c_l_concatenate_layer.xhtml#a460a0e2af35df8734a90d21a0ed42132',1,'arm_compute::CLConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml#a52184fd44c124af2e50bdb1649781782',1,'arm_compute::CLConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolution3x3::configure()'],['../classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82',1,'arm_compute::CLConvolutionSquare::configure()'],['../classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2',1,'arm_compute::CLConvolutionRectangle::configure()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#ae0c61dabbcfeda5c7f01a7ae66e58b2c',1,'arm_compute::CLConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_copy.xhtml#ad1a757fab7094ad4f38bdd11d369f6ae',1,'arm_compute::CLCopy::configure()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a68de418b8175bca40450f63405172bd1',1,'arm_compute::CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ada7beb051c3fd2d8422a786f2cecac5c',1,'arm_compute::CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &amp;info, const WeightsInfo &amp;weights_info=WeightsInfo())'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#afefc21cb9bbf278c5110778f28960b10',1,'arm_compute::CLDeconvolutionLayerUpsample::configure()'],['../classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#a6c12a28f5554ed633343956f3127c50d',1,'arm_compute::CLDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_depth_convert_layer.xhtml#a536f0de1a70ea80d40b0a24657ac5290',1,'arm_compute::CLDepthConvertLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ae536ece130ddb5e22e7f11e6b67f1673',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#af82e4a3d1702751e2d6aca04702adf26',1,'arm_compute::CLDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#af7ca3f45f6dbfc7737c75fbf91fcc4c5',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a6b14fa2a92543bff4d379cafc689ba54',1,'arm_compute::CLDequantizationLayer::configure()'],['../classarm__compute_1_1_c_l_derivative.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLDerivative::configure()'],['../classarm__compute_1_1_c_l_dilate.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLDilate::configure()'],['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c',1,'arm_compute::CLDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticAddition::configure()'],['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml#a7af75ca77a6e9eb53532e7ab1317bdc3',1,'arm_compute::CLArithmeticSubtraction::configure()'],['../classarm__compute_1_1_c_l_arithmetic_division.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLArithmeticDivision::configure()'],['../classarm__compute_1_1_c_l_elementwise_max.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseMax::configure()'],['../classarm__compute_1_1_c_l_elementwise_min.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseMin::configure()'],['../classarm__compute_1_1_c_l_elementwise_squared_diff.xhtml#aa08e0c678275eb37e8de42be52d76e35',1,'arm_compute::CLElementwiseSquaredDiff::configure()'],['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLRsqrtLayer::configure()'],['../classarm__compute_1_1_c_l_exp_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLExpLayer::configure()'],['../classarm__compute_1_1_c_l_equalize_histogram.xhtml#a78c50e58e4c8be6de11ac6e78ca02eff',1,'arm_compute::CLEqualizeHistogram::configure()'],['../classarm__compute_1_1_c_l_erode.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLErode::configure()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#ac519f19806984be1fddf6c04ea508626',1,'arm_compute::CLFastCorners::configure()'],['../classarm__compute_1_1_c_l_fill_border.xhtml#acd47b636ec90ab214e6f194989ea7af5',1,'arm_compute::CLFillBorder::configure()'],['../classarm__compute_1_1_c_l_flatten_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFlattenLayer::configure()'],['../classarm__compute_1_1_c_l_floor.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFloor::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ab205e8e07c4eff3197d0c8cc85a4488d',1,'arm_compute::CLFullyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a9318443da4a42b12d5b7ecb60d9fe14a',1,'arm_compute::CLFuseBatchNormalization::configure()'],['../classarm__compute_1_1_c_l_gather.xhtml#a290dbeba031997a9d489f235e921bee7',1,'arm_compute::CLGather::configure()'],['../classarm__compute_1_1_c_l_gaussian3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian3x3::configure()'],['../classarm__compute_1_1_c_l_gaussian5x5.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLGaussian5x5::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#ae518f24b88a33e296030407e1a42d5fb',1,'arm_compute::CLGaussianPyramid::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_half.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_c_l_gaussian_pyramid_orb.xhtml#a9f1c2312374125fd95ee145a4f07515c',1,'arm_compute::CLGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5',1,'arm_compute::CLGEMM::configure()'],['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ace0b4143d0ca4435da8123ac9073e59c',1,'arm_compute::CLConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#ac485da01d91da9e1c97a7da2b9b91ad5',1,'arm_compute::CLGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float.xhtml#a49bf33836c645a5b5aa385411ab56964',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::configure()'],['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a01a8a849ea1f7fb96263093b7d6978a9',1,'arm_compute::CLGenerateProposalsLayer::configure()'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#a1c35ef0fadb16911061a0a54be3c17af',1,'arm_compute::CLHarrisCorners::configure()'],['../classarm__compute_1_1_c_l_histogram.xhtml#a406ea1342bf3679752ba91525c59aaf6',1,'arm_compute::CLHistogram::configure()'],['../classarm__compute_1_1_c_l_h_o_g_descriptor.xhtml#aa13cb80b9e2387f342aa75b205529a10',1,'arm_compute::CLHOGDescriptor::configure()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#af3f7d04fe1de62ddbed7bf165c9d7ec8',1,'arm_compute::CLHOGDetector::configure()'],['../classarm__compute_1_1_c_l_h_o_g_gradient.xhtml#a229bdf53bc1dad3b2408d48db8bcaa96',1,'arm_compute::CLHOGGradient::configure()'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#ab5d20af02c277cdfdb18dc5ead27ffb7',1,'arm_compute::CLHOGMultiDetection::configure()'],['../classarm__compute_1_1_c_l_integral_image.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLIntegralImage::configure()'],['../classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#a38db42f03d3dad52b9ddc3fab7cbfa1e',1,'arm_compute::CLL2NormalizeLayer::configure()'],['../classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#affa012258b464b065d72cc26657119d4',1,'arm_compute::CLLaplacianPyramid::configure()'],['../classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#a129d848ae0d03b4d4dcbc5e3763623cf',1,'arm_compute::CLLaplacianReconstruct::configure()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a0e2cfb6fb263bd6f761756c816574345',1,'arm_compute::CLLocallyConnectedLayer::configure()'],['../classarm__compute_1_1_c_l_l_s_t_m_layer.xhtml#aa0f7635e5dffc50c235e8879637f7462',1,'arm_compute::CLLSTMLayer::configure()'],['../classarm__compute_1_1_c_l_magnitude.xhtml#a1741c99b2bc2b77bb719d185d52968e2',1,'arm_compute::CLMagnitude::configure()'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#aa7a32280401c276aed328658046abc4c',1,'arm_compute::CLMeanStdDev::configure()'],['../classarm__compute_1_1_c_l_median3x3.xhtml#a2a829a721f585b9028e9712e71698e69',1,'arm_compute::CLMedian3x3::configure()'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a8ddb1ad6ae46202fbdc5fb1034b1abd3',1,'arm_compute::CLMinMaxLocation::configure()'],['../classarm__compute_1_1_c_l_non_linear_filter.xhtml#a53cae19fbb200bd9479868919e9045ee',1,'arm_compute::CLNonLinearFilter::configure()'],['../classarm__compute_1_1_c_l_non_maxima_suppression3x3.xhtml#a1a3dfd8c194044e7aafeafe5ca8dce59',1,'arm_compute::CLNonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_c_l_normalization_layer.xhtml#ab1b1b768d23eaf10f5f810436c4c856e',1,'arm_compute::CLNormalizationLayer::configure()'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer.xhtml#afda135e29153ae1cc8946bf974427189',1,'arm_compute::CLNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601',1,'arm_compute::CLOpticalFlow::configure()'],['../classarm__compute_1_1_c_l_pad_layer.xhtml#a941ae5a1e5ba542d8e39ce490968d7e0',1,'arm_compute::CLPadLayer::configure()'],['../classarm__compute_1_1_c_l_permute.xhtml#af1f5e1b7e8bbf0768c406be880387a0d',1,'arm_compute::CLPermute::configure()'],['../classarm__compute_1_1_c_l_phase.xhtml#ac64385feb4cfd5ea1f7e2dc4414392aa',1,'arm_compute::CLPhase::configure()'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication.xhtml#ab49eaee7b0a9443f7cbd3a73fd0bf2b2',1,'arm_compute::CLPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_c_l_pooling_layer.xhtml#a18f66b53b41f27ca9942695488d8c7aa',1,'arm_compute::CLPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_prior_box_layer.xhtml#a2620e3db79dcdb5c7596de1c9bb5d8dd',1,'arm_compute::CLPriorBoxLayer::configure()'],['../classarm__compute_1_1_c_l_quantization_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLQuantizationLayer::configure()'],['../classarm__compute_1_1_c_l_range.xhtml#aabe5fc48738f43b4b19fa05f460c1044',1,'arm_compute::CLRange::configure()'],['../classarm__compute_1_1_c_l_reduce_mean.xhtml#ac43ed2b0714a5af0ce1916c03e60cb40',1,'arm_compute::CLReduceMean::configure()'],['../classarm__compute_1_1_c_l_reduction_operation.xhtml#a01cf6dddf3f8768da106527d2f1ee7c5',1,'arm_compute::CLReductionOperation::configure()'],['../classarm__compute_1_1_c_l_remap.xhtml#ac1eb01546c2f93af14ee04f4a0f8c30a',1,'arm_compute::CLRemap::configure()'],['../classarm__compute_1_1_c_l_reorg_layer.xhtml#a11c13a920a4b8c61aaf6a92bd2ece880',1,'arm_compute::CLReorgLayer::configure()'],['../classarm__compute_1_1_c_l_reshape_layer.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLReshapeLayer::configure()'],['../classarm__compute_1_1_c_l_reverse.xhtml#afab29173f38632af6e8dbb9b34c03e9c',1,'arm_compute::CLReverse::configure()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#ac30701352d51542a3f4923b210d3200a',1,'arm_compute::CLRNNLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_align_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIAlignLayer::configure()'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml#a630dcd657ddee2ac7769b194a44a728b',1,'arm_compute::CLROIPoolingLayer::configure()'],['../classarm__compute_1_1_c_l_scale.xhtml#aa5f9a9b25bd6f529c29939f6269d59f5',1,'arm_compute::CLScale::configure()'],['../classarm__compute_1_1_c_l_scharr3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLScharr3x3::configure()'],['../classarm__compute_1_1_c_l_select.xhtml#afb3c068b9a3cd4c394055bd28a3df6f8',1,'arm_compute::CLSelect::configure()'],['../classarm__compute_1_1_c_l_slice.xhtml#ae883a7cb96f6111b0e8bf3a64842c438',1,'arm_compute::CLSlice::configure()'],['../classarm__compute_1_1_c_l_sobel3x3.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel3x3::configure()'],['../classarm__compute_1_1_c_l_sobel5x5.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel5x5::configure()'],['../classarm__compute_1_1_c_l_sobel7x7.xhtml#a62d1b655e7211f3ab44ed1a9c81a1336',1,'arm_compute::CLSobel7x7::configure()'],['../classarm__compute_1_1_c_l_softmax_layer.xhtml#ae3fdd368418ef45db831786e741ea1bb',1,'arm_compute::CLSoftmaxLayer::configure()'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#ac50f3f99ed5752f8be84fde8fbfc08b7',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a948804ad61ca2c4d419876e6dec1c024',1,'arm_compute::CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &amp;padding_left, const Size2D &amp;padding_right, ICLTensor *output)'],['../classarm__compute_1_1_c_l_split.xhtml#a7680bd176a47f2414d6a3192d5e52dd6',1,'arm_compute::CLSplit::configure()'],['../classarm__compute_1_1_c_l_stack_layer.xhtml#ae3ded99bcaf22b5c6493174aaf7e9869',1,'arm_compute::CLStackLayer::configure()'],['../classarm__compute_1_1_c_l_strided_slice.xhtml#a5d801cf9e04174c1898753ef8efb004f',1,'arm_compute::CLStridedSlice::configure()'],['../classarm__compute_1_1_c_l_table_lookup.xhtml#af765d82c1c526320140a20792f132fed',1,'arm_compute::CLTableLookup::configure()'],['../classarm__compute_1_1_c_l_threshold.xhtml#a62c37ae969be3b04e0bdceffb4a1dadb',1,'arm_compute::CLThreshold::configure()'],['../classarm__compute_1_1_c_l_tile.xhtml#a6a8a67b9d11870b083b5c7e233d10764',1,'arm_compute::CLTile::configure()'],['../classarm__compute_1_1_c_l_transpose.xhtml#a074e10cfb217e657b9e81adeca2abc68',1,'arm_compute::CLTranspose::configure()'],['../classarm__compute_1_1_c_l_unstack.xhtml#a605011e32722e6a9372537d998f9b1b0',1,'arm_compute::CLUnstack::configure()'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#aff07d307883c8ef914c2fac1ec8bfbb8',1,'arm_compute::CLUpsampleLayer::configure()'],['../classarm__compute_1_1_c_l_warp_affine.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpAffine::configure()'],['../classarm__compute_1_1_c_l_warp_perspective.xhtml#aa49a3628db3443398f6041fe8b4dec05',1,'arm_compute::CLWarpPerspective::configure()'],['../classarm__compute_1_1_c_l_width_concatenate_layer.xhtml#ae1e594a6c6605fb33245f84722039eab',1,'arm_compute::CLWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a795a5e806f4334092fc9f491fe794998',1,'arm_compute::CLWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a703fa268e40647a42ebded33750fe74e',1,'arm_compute::CLWinogradInputTransform::configure()'],['../classarm__compute_1_1_c_l_y_o_l_o_layer.xhtml#a0d0e2b5ca54005ddc700e5043725151f',1,'arm_compute::CLYOLOLayer::configure()'],['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_bifrost.xhtml#ab6d0980d5c4bff1c0e3284b895c36248',1,'arm_compute::cl_gemm::CLGEMMReshapedConfigurationBifrost::configure()'],['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml#a3de8fc470058fc692494e9885d8f114c',1,'arm_compute::ICLGEMMReshapedConfiguration::configure()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit.xhtml#a014205af76eea5e1ba768fc10b60222a',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimit::configure()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ad8387a0ef4a1e0f7382c06146857e4be',1,'arm_compute::CPPNonMaximumSuppression::configure()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a4c87b215abac33e28e279fd7277e2126',1,'arm_compute::CPPDetectionOutputLayer::configure()'],['../classarm__compute_1_1_c_p_p_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::CPPPermute::configure()'],['../classarm__compute_1_1_c_p_p_top_k_v.xhtml#ac886f64c915621a8a213f760bc0d9134',1,'arm_compute::CPPTopKV::configure()'],['../classarm__compute_1_1_c_p_p_upsample.xhtml#a84b9f39cc1a119dc9da89cf2ccbdf7b7',1,'arm_compute::CPPUpsample::configure()'],['../classarm__compute_1_1_g_c_absolute_difference.xhtml#ae5c39de30616d2572a54ad4013004ac5',1,'arm_compute::GCAbsoluteDifference::configure()'],['../classarm__compute_1_1_g_c_activation_layer.xhtml#a0fdcd48f36eb1310d56f0f0d5ce9ab00',1,'arm_compute::GCActivationLayer::configure()'],['../classarm__compute_1_1_g_c_arithmetic_addition.xhtml#a77d4c38915be03f7fa7031c73470b0c6',1,'arm_compute::GCArithmeticAddition::configure()'],['../classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ab66d55b5fca2d08c253e4e9a37f9c6bc',1,'arm_compute::GCBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#a35aacc414eddf01fa5ae44483c110a33',1,'arm_compute::GCConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a9d4bf10fbda1b7ca0b4c205512dc5a93',1,'arm_compute::GCConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a1ff6a6e16845bcbe607a5b766be13e14',1,'arm_compute::GCDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#aeb446e905def41593c0d479215fd32a3',1,'arm_compute::GCDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a17f216ad80126a2e84cd8c1210b9d1da',1,'arm_compute::GCDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_g_c_dropout_layer.xhtml#a03febcf2730ff389e09fc47672e4fac7',1,'arm_compute::GCDropoutLayer::configure()'],['../classarm__compute_1_1_g_c_fill_border.xhtml#af8e3f0c5652d8264b400eac38324e3bc',1,'arm_compute::GCFillBorder::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0effb36388142226203c802f31614634',1,'arm_compute::GCFullyConnectedLayer::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a8184f9bf2e8f4fdc16cfe7812e229d95',1,'arm_compute::GCGEMM::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_g_c_normalization_layer.xhtml#a8d636dd5daa60351d1c2b941a9260ed6',1,'arm_compute::GCNormalizationLayer::configure()'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#aedd93bc2e52cd0b39478118d342df2f8',1,'arm_compute::GCNormalizePlanarYUVLayer::configure()'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication.xhtml#aa25f544c6db153a027c896cb45f24dc6',1,'arm_compute::GCPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_g_c_pooling_layer.xhtml#ab012a57f810664a63407e5ffa21bbf5c',1,'arm_compute::GCPoolingLayer::configure()'],['../classarm__compute_1_1_g_c_scale.xhtml#a8a339354a1e4d09de5a3022e4f20d0d2',1,'arm_compute::GCScale::configure()'],['../classarm__compute_1_1_g_c_softmax_layer.xhtml#a87e0f86361e9b6d237464d91ce76fbfa',1,'arm_compute::GCSoftmaxLayer::configure()'],['../classarm__compute_1_1_g_c_tensor_shift.xhtml#a2a2ddfadb250e8a4c4d5db67f048f2e8',1,'arm_compute::GCTensorShift::configure()'],['../classarm__compute_1_1_g_c_transpose.xhtml#aa029e9740bc43eb3301316be76be3b7e',1,'arm_compute::GCTranspose::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aec7a76f285895651e97c43e56b729900',1,'arm_compute::NEGEMMInterleavedWrapper::configure()'],['../classarm__compute_1_1_n_e_absolute_difference.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEAbsoluteDifference::configure()'],['../classarm__compute_1_1_n_e_accumulate.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEAccumulate::configure()'],['../classarm__compute_1_1_n_e_accumulate_weighted.xhtml#a801bafb0db80b93605302dac80a59844',1,'arm_compute::NEAccumulateWeighted::configure()'],['../classarm__compute_1_1_n_e_accumulate_squared.xhtml#a0b9649281a450bbb458d5d5ccde89d08',1,'arm_compute::NEAccumulateSquared::configure()'],['../classarm__compute_1_1_n_e_activation_layer.xhtml#adfb5ef37594fc9371c4a2b95e3d5e31b',1,'arm_compute::NEActivationLayer::configure()'],['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#aa49786cfd9dfeccd7c99c4e373320e05',1,'arm_compute::NEArgMinMaxLayer::configure()'],['../classarm__compute_1_1_n_e_arithmetic_addition.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticAddition::configure()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction.xhtml#a17b1a968874510a32f0bdcc78e0cb360',1,'arm_compute::NEArithmeticSubtraction::configure()'],['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a8f98f383f8998195408b570534483536',1,'arm_compute::NEBatchNormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_bitwise_and.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseAnd::configure()'],['../classarm__compute_1_1_n_e_bitwise_not.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEBitwiseNot::configure()'],['../classarm__compute_1_1_n_e_bitwise_or.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseOr::configure()'],['../classarm__compute_1_1_n_e_bitwise_xor.xhtml#a837b139cf977a6c4530e3d574fcceef2',1,'arm_compute::NEBitwiseXor::configure()'],['../classarm__compute_1_1_n_e_box3x3.xhtml#a61457d73c8ae60ad9f4cc00089e282c7',1,'arm_compute::NEBox3x3::configure()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a0626bbb35eb3e06a00802bbfeecf4f47',1,'arm_compute::NECannyEdge::configure()'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a39ee07b7b99e5ede71d07248b2c8ec76',1,'arm_compute::NEChannelCombine::configure(const ITensor *plane0, const ITensor *plane1, const ITensor *plane2, const ITensor *plane3, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_combine.xhtml#a2152066cff4fb48815bb07a360086ddc',1,'arm_compute::NEChannelCombine::configure(const IImage *plane0, const IImage *plane1, const IImage *plane2, IMultiImage *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#a1a476489d90e34953d0d76112a42ad2a',1,'arm_compute::NEChannelExtract::configure(const ITensor *input, Channel channel, ITensor *output)'],['../classarm__compute_1_1_n_e_channel_extract.xhtml#aa9055d30c3643f63cbf4af54f174505e',1,'arm_compute::NEChannelExtract::configure(const IMultiImage *input, Channel channel, IImage *output)'],['../classarm__compute_1_1_n_e_channel_shuffle_layer.xhtml#a2a36146a04397f2f7e22c940178894f8',1,'arm_compute::NEChannelShuffleLayer::configure()'],['../classarm__compute_1_1_n_e_col2_im.xhtml#a5617685de2460c02aa189c0134880c9e',1,'arm_compute::NECol2Im::configure()'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEColorConvert::configure(const ITensor *input, ITensor *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a362afd30d2fdc9eb1d09bf1c599aefe2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a70de58654d68781741900307d970912a',1,'arm_compute::NEColorConvert::configure(const IImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_color_convert.xhtml#a0bfe568a4d43a9be6db3210cdc69e6c2',1,'arm_compute::NEColorConvert::configure(const IMultiImage *input, IMultiImage *output)'],['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#a2e7b79e3cbe960a81e64eb4fa47c356e',1,'arm_compute::NEConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#ac0cfd5b64b24f3dfae04ee3d0f258624',1,'arm_compute::NEConvertFullyConnectedWeights::configure()'],['../classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolution3x3::configure()'],['../classarm__compute_1_1_n_e_convolution_square.xhtml#a58d050865536a28b56a92eeaf3ac478e',1,'arm_compute::NEConvolutionSquare::configure()'],['../classarm__compute_1_1_n_e_convolution_rectangle.xhtml#ac230ba3519565b12566edfdd99859ed0',1,'arm_compute::NEConvolutionRectangle::configure()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a267ccefe12296abe0f816cc9456a519a',1,'arm_compute::NEConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_copy.xhtml#a9daf8026e68559806afe7d0aa12693d6',1,'arm_compute::NECopy::configure()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af7844db7c841f3f117547b7bd6ccfc55',1,'arm_compute::NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &amp;info, unsigned int inner_border_right, unsigned int inner_border_top)'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ae7c4c1b127b941d0febd36961384f772',1,'arm_compute::NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &amp;info)'],['../classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#af0e1f0ef4775a514725b832447cd1962',1,'arm_compute::NEDepthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a6c194a42a8dd821d34a6166b5f61a7f6',1,'arm_compute::NEDepthConvertLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer3x3::configure()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a10dc43a88a0b746454da01ea1377a8a4',1,'arm_compute::NEDepthwiseConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#a1d1923da1e9f49c28bf0b38c27b7eb8c',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_dequantization_layer.xhtml#a644ff49365300e418f2343f112753b74',1,'arm_compute::NEDequantizationLayer::configure()'],['../classarm__compute_1_1_n_e_derivative.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEDerivative::configure()'],['../classarm__compute_1_1_n_e_dilate.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEDilate::configure()'],['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#af63dd2106fa1a4083e57d8816b4b2048',1,'arm_compute::NEDirectConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_elementwise_max.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseMax::configure()'],['../classarm__compute_1_1_n_e_elementwise_min.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseMin::configure()'],['../classarm__compute_1_1_n_e_elementwise_squared_diff.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseSquaredDiff::configure()'],['../classarm__compute_1_1_n_e_elementwise_division.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseDivision::configure()'],['../classarm__compute_1_1_n_e_elementwise_comparison.xhtml#ace1b1f04b180068d7c3f183038a66134',1,'arm_compute::NEElementwiseComparison::configure()'],['../classarm__compute_1_1_n_e_elementwise_comparison_static.xhtml#a151f73d8df86064f806f8b3256571b0a',1,'arm_compute::NEElementwiseComparisonStatic::configure()'],['../classarm__compute_1_1_n_e_rsqrt_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NERsqrtLayer::configure()'],['../classarm__compute_1_1_n_e_exp_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEExpLayer::configure()'],['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#acbd66cc67e7dedcc3d94a7ab0be5781c',1,'arm_compute::NEEqualizeHistogram::configure()'],['../classarm__compute_1_1_n_e_erode.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEErode::configure()'],['../classarm__compute_1_1_n_e_fast_corners.xhtml#a182eb968f1c107bf5ee575cb1b7f031c',1,'arm_compute::NEFastCorners::configure()'],['../classarm__compute_1_1_n_e_fill_border.xhtml#ab2db56d349cee3849dbfac825d916fd6',1,'arm_compute::NEFillBorder::configure()'],['../classarm__compute_1_1_n_e_flatten_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFlattenLayer::configure()'],['../classarm__compute_1_1_n_e_floor.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFloor::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEFullyConnectedLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a91fb7694ae938cfec69ff6474451de49',1,'arm_compute::NEFullyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a8e03d687365df886b982e25db689df71',1,'arm_compute::NEFuseBatchNormalization::configure()'],['../classarm__compute_1_1_n_e_gather.xhtml#ac54444a80c4fc9141ca52479ea7650a2',1,'arm_compute::NEGather::configure()'],['../classarm__compute_1_1_n_e_gaussian3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian3x3::configure()'],['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEGaussian5x5::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a569064c220a3a2bf4b7af719b8d54cba',1,'arm_compute::NEGaussianPyramid::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidHalf::configure()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a7983aea517b8777e7ef6800cfa41d6ab',1,'arm_compute::NEGaussianPyramidOrb::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a385241dcc5062af6ecac8bdafe01bb2a',1,'arm_compute::NEGEMM::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aeaf9e7d6e24ea7e4de46ed92a0c4aa3d',1,'arm_compute::NEGEMMAssemblyDispatch::configure()'],['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a61ca4e4a2e1326e12855748838eab503',1,'arm_compute::NEConvolutionLayerReshapeWeights::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a97f4fd717623515cacaa206a889933ce',1,'arm_compute::NEGEMMConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMInterleave4x4::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ab6b3c14dd280e6af9d37e4347a56417e',1,'arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ae939cbc6a8a6747f193bfe8b54a7881c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#a8ea2bdc2c3cf1d4c2ac07e10dccdaab2',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a888c69fe3d880ac8001eb92ab74cffb7',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEGEMMTranspose1xW::configure()'],['../classarm__compute_1_1_n_e_harris_corners.xhtml#aa74c5caac74b27db3319b4a5710f7a98',1,'arm_compute::NEHarrisCorners::configure()'],['../classarm__compute_1_1_n_e_histogram.xhtml#aaae5b09830704e2ed3cf7d09fe01bfc9',1,'arm_compute::NEHistogram::configure()'],['../classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#af3e91dd25d2bd7d3f3a0c74cdc77d7c4',1,'arm_compute::NEHOGDescriptor::configure()'],['../classarm__compute_1_1_n_e_h_o_g_detector.xhtml#aec1e0dba94a632dc99953a9015684115',1,'arm_compute::NEHOGDetector::configure()'],['../classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ac6ae2d00f75c768927d9529998608aaa',1,'arm_compute::NEHOGGradient::configure()'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a8fa7fa549af77189982f584036c14271',1,'arm_compute::NEHOGMultiDetection::configure()'],['../classarm__compute_1_1_n_e_im2_col.xhtml#a585edc13576fe5f51f7cc493751fef52',1,'arm_compute::NEIm2Col::configure()'],['../classarm__compute_1_1_n_e_integral_image.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEIntegralImage::configure()'],['../classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#a0d248571810a368dcd004e928bd77345',1,'arm_compute::NEL2NormalizeLayer::configure()'],['../classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a57e777ebd638595cbcaff4c45dbaa351',1,'arm_compute::NELaplacianPyramid::configure()'],['../classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ae29fe7b87d0a15745423fa3e3301adae',1,'arm_compute::NELaplacianReconstruct::configure()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a38198731404a741d75225ae36baf100a',1,'arm_compute::NELocallyConnectedLayer::configure()'],['../classarm__compute_1_1_n_e_l_s_t_m_layer.xhtml#aa899feaf94d69eb04afb0cd412869548',1,'arm_compute::NELSTMLayer::configure()'],['../classarm__compute_1_1_n_e_magnitude.xhtml#a1aa524e83bd73b149831dc0bb6e39e7e',1,'arm_compute::NEMagnitude::configure()'],['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#a95812d053b0216b1d9c1f5131db6e880',1,'arm_compute::NEMeanStdDev::configure()'],['../classarm__compute_1_1_n_e_median3x3.xhtml#ac735b829e93802466145844b04d1ab48',1,'arm_compute::NEMedian3x3::configure()'],['../classarm__compute_1_1_n_e_min_max_location.xhtml#ab996eedb0d719f5faa091726e69e73c3',1,'arm_compute::NEMinMaxLocation::configure()'],['../classarm__compute_1_1_n_e_non_linear_filter.xhtml#ae2e668c3765731c5f71a324e15f131b8',1,'arm_compute::NENonLinearFilter::configure()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3.xhtml#a6c9ef0526118071156055c1e2c2ca0c4',1,'arm_compute::NENonMaximaSuppression3x3::configure()'],['../classarm__compute_1_1_n_e_normalization_layer.xhtml#a89681b033dd94cd53456d7365a91f7cd',1,'arm_compute::NENormalizationLayer::configure()'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c',1,'arm_compute::NEOpticalFlow::configure()'],['../classarm__compute_1_1_n_e_pad_layer.xhtml#a24a5fb11cb36e335b311e2c6f3f009e7',1,'arm_compute::NEPadLayer::configure()'],['../classarm__compute_1_1_n_e_permute.xhtml#a93c836ab36443b23753d99495761daf7',1,'arm_compute::NEPermute::configure()'],['../classarm__compute_1_1_n_e_phase.xhtml#adcb14816dc8d62ecdc185f4d3f1cd4d4',1,'arm_compute::NEPhase::configure()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication.xhtml#a080bc209f47babf3bc587f49b4286e53',1,'arm_compute::NEPixelWiseMultiplication::configure()'],['../classarm__compute_1_1_n_e_pooling_layer.xhtml#a6fa6e4b65796fd0bf43da9b4d617d568',1,'arm_compute::NEPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_prior_box_layer.xhtml#a248cdd16a97b29541228d3e775ac4e01',1,'arm_compute::NEPriorBoxLayer::configure()'],['../classarm__compute_1_1_n_e_quantization_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEQuantizationLayer::configure()'],['../classarm__compute_1_1_n_e_range.xhtml#a8a54125934cd02a77f2baef43e6e62bf',1,'arm_compute::NERange::configure()'],['../classarm__compute_1_1_n_e_reduce_mean.xhtml#ac741a3edd9fdd407099870bbb27925d7',1,'arm_compute::NEReduceMean::configure()'],['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a5a8b455c425ea5b09a3ad7686c619434',1,'arm_compute::NEReductionOperation::configure()'],['../classarm__compute_1_1_n_e_remap.xhtml#a7570555ae5933bef168425e55a1a11a9',1,'arm_compute::NERemap::configure()'],['../classarm__compute_1_1_n_e_reorg_layer.xhtml#aeaccf2356bf5ae491b7da58e3e6d0628',1,'arm_compute::NEReorgLayer::configure()'],['../classarm__compute_1_1_n_e_reshape_layer.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NEReshapeLayer::configure()'],['../classarm__compute_1_1_n_e_reverse.xhtml#abaed98d5f33f212b61484a7ef0c53874',1,'arm_compute::NEReverse::configure()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a23ed39a3f37b8b100cec84427d55f9cf',1,'arm_compute::NERNNLayer::configure()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a6ad8fb0b46705c4a03f20ecfed39c99b',1,'arm_compute::NEROIPoolingLayer::configure()'],['../classarm__compute_1_1_n_e_scale.xhtml#aca08ed3f0e23d0eb32f60dc8a468bb4b',1,'arm_compute::NEScale::configure()'],['../classarm__compute_1_1_n_e_scharr3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NEScharr3x3::configure()'],['../classarm__compute_1_1_n_e_select.xhtml#a1d6424a6b10d91683475029a748ea4a3',1,'arm_compute::NESelect::configure()'],['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#a5cd27b57fe542fb50f512bb55b7a2cdc',1,'arm_compute::NESimpleAssemblyFunction::configure()'],['../classarm__compute_1_1_n_e_slice.xhtml#a5c2f378cb28b6c33a699fcf3d24b7ab3',1,'arm_compute::NESlice::configure()'],['../classarm__compute_1_1_n_e_sobel3x3.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel3x3::configure()'],['../classarm__compute_1_1_n_e_sobel5x5.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel5x5::configure()'],['../classarm__compute_1_1_n_e_sobel7x7.xhtml#accd52dcca79320a1a6e6a804b7b91fb0',1,'arm_compute::NESobel7x7::configure()'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#aa4aee9a6c9abb0cfbcbf1727de23070c',1,'arm_compute::NESoftmaxLayer::configure()'],['../classarm__compute_1_1_n_e_split.xhtml#a5bd6b3bb4aff01d28a839733a5590121',1,'arm_compute::NESplit::configure()'],['../classarm__compute_1_1_n_e_stack_layer.xhtml#a85de06a39d55351708d5015bb75c7aa5',1,'arm_compute::NEStackLayer::configure()'],['../classarm__compute_1_1_n_e_strided_slice.xhtml#a801a64303e04b0d7800b726735caa0f8',1,'arm_compute::NEStridedSlice::configure()'],['../classarm__compute_1_1_n_e_table_lookup.xhtml#a31cbc1ac2194f015e1b7e3cfd44a2250',1,'arm_compute::NETableLookup::configure()'],['../classarm__compute_1_1_n_e_threshold.xhtml#ad5e6dc9965405ea5d7d1cda26a14644c',1,'arm_compute::NEThreshold::configure()'],['../classarm__compute_1_1_n_e_tile.xhtml#ad226085cfab135a5367504930fdd189b',1,'arm_compute::NETile::configure()'],['../classarm__compute_1_1_n_e_transpose.xhtml#a83a344e60eb7db895953a942abf16628',1,'arm_compute::NETranspose::configure()'],['../classarm__compute_1_1_n_e_unstack.xhtml#a641a5040bc4edb196b8c4e60013f582b',1,'arm_compute::NEUnstack::configure()'],['../classarm__compute_1_1_n_e_upsample_layer.xhtml#af08de360b50a6fe2243fc1158433897f',1,'arm_compute::NEUpsampleLayer::configure()'],['../classarm__compute_1_1_n_e_warp_affine.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpAffine::configure()'],['../classarm__compute_1_1_n_e_warp_perspective.xhtml#aaeb1225b54ccbebb4e0d5ee988da10e7',1,'arm_compute::NEWarpPerspective::configure()'],['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml#a76335aeca633fd0ec9e787315e0d4487',1,'arm_compute::NEWidthConcatenateLayer::configure()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#a49b542b1a17cd73034736acfa562a8ec',1,'arm_compute::NEWinogradConvolutionLayer::configure()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer.xhtml#a117e23eab202b2b2162b402826adb641',1,'arm_compute::NEYOLOLayer::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::CLSynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::CLSynthetizeFunctionWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml#a9e209999d5fe228d1483ef56b704d427',1,'arm_compute::test::CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function.xhtml#a1bb4c9ebe62c1b18326b3aed78b1e484',1,'arm_compute::test::NESynthetizeFunction::configure()'],['../classarm__compute_1_1test_1_1_n_e_synthetize_function_with_zero_constant_border.xhtml#a3c585dd8a650e6194b40c7aac6701a6f',1,'arm_compute::test::NESynthetizeFunctionWithZeroConstantBorder::configure()']]],
   ['configure_5fall_5fnodes',['configure_all_nodes',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a82d07d3d612bee8ff703226ff9d5d452',1,'arm_compute::graph::detail']]],
   ['configure_5fall_5ftensors',['configure_all_tensors',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a68c7ebb89adc0c2b21449cd15f6e8eba',1,'arm_compute::graph::detail']]],
   ['configure_5fnode',['configure_node',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::CLDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::GCDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ad47ca77f85641c7e74f75986a28682e6',1,'arm_compute::graph::backends::NEDeviceBackend::configure_node()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#af989fb4cdd6783b776e6b3feceb9fdcb',1,'arm_compute::graph::backends::IDeviceBackend::configure_node()']]],
-  ['configure_5foutput',['configure_output',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9',1,'arm_compute::graph::INode::configure_output()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ActivationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BatchNormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BoundingBoxTransformLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ChannelShuffleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConcatenateLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConstNode::configure_output()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DeconvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DummyNode::configure_output()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::EltwiseLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FlattenLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FullyConnectedLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::GenerateProposalsLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::InputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::OutputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PadLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PermuteLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PoolingLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PriorBoxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReorgLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReshapeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ResizeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ROIAlignLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SliceLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SoftmaxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SplitLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::UpsampleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::YOLOLayerNode::configure_output()']]],
+  ['configure_5foutput',['configure_output',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a98dd474c332ea76a71bd81b790d7e0d9',1,'arm_compute::graph::INode::configure_output()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ActivationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BatchNormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::BoundingBoxTransformLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ChannelShuffleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConcatenateLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConstNode::configure_output()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DeconvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DetectionOutputLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::DummyNode::configure_output()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::EltwiseLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FlattenLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::FullyConnectedLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::GenerateProposalsLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::InputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizationLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::OutputNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PadLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PermuteLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PoolingLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::PriorBoxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReorgLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ReshapeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ResizeLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::ROIAlignLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SliceLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SoftmaxLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::SplitLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::UpsampleLayerNode::configure_output()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710',1,'arm_compute::graph::YOLOLayerNode::configure_output()']]],
   ['configure_5ftensor',['configure_tensor',['../namespacearm__compute_1_1graph.xhtml#a36fd3cfa2e1d33e59e1d3e95664d8b9c',1,'arm_compute::graph']]],
   ['configure_5ftransition_5fmanager',['configure_transition_manager',['../namespacearm__compute_1_1graph_1_1detail.xhtml#aa94e771d284b85d820f94b797eecee98',1,'arm_compute::graph::detail']]],
   ['constnode',['ConstNode',['../classarm__compute_1_1graph_1_1_const_node.xhtml#a764430de6c64e778b59b0648109c318b',1,'arm_compute::graph::ConstNode']]],
+  ['construct_5fslice_5fend_5fmask',['construct_slice_end_mask',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191',1,'arm_compute::helpers::tensor_transform']]],
   ['consume_5fcommon_5fgraph_5fparameters',['consume_common_graph_parameters',['../namespacearm__compute_1_1utils.xhtml#a04125f2e4cecaffad8724cee7e1c19b0',1,'arm_compute::utils']]],
   ['consumer',['consumer',['../classarm__compute_1_1graph_1_1_edge.xhtml#a592a2c76b00960964a3f6f2ef792a7f0',1,'arm_compute::graph::Edge']]],
   ['consumer_5fid',['consumer_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#ad00e584f78c622e5ee9ec9613f6d6633',1,'arm_compute::graph::Edge']]],
@@ -410,11 +441,12 @@
   ['contains',['contains',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#aaacd907a06b819a33edf3c2c927aad46',1,'arm_compute::graph::backends::BackendRegistry']]],
   ['context',['context',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a252f5440564c77d68459f2baa978f86a',1,'arm_compute::CLKernelLibrary::context()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a252f5440564c77d68459f2baa978f86a',1,'arm_compute::CLScheduler::context()']]],
   ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#a53eb4ea4aa2d9cf0eb82098af40dc105',1,'arm_compute::test::validation']]],
-  ['convert_5fdepth_5fdown',['convert_depth_down',['../depth__convert_8cl.xhtml#aab970e69ff53ae814fae772df4ae9c2d',1,'depth_convert.cl']]],
-  ['convert_5fdepth_5fup',['convert_depth_up',['../depth__convert_8cl.xhtml#ae2f96efadb55c92fe506140c36b6b25d',1,'depth_convert.cl']]],
+  ['convert_5fdepth_5fdown',['convert_depth_down',['../depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e',1,'depth_convert.cl']]],
+  ['convert_5fdepth_5fup',['convert_depth_up',['../depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3',1,'depth_convert.cl']]],
   ['convert_5ffrom_5fasymmetric',['convert_from_asymmetric',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7',1,'arm_compute::test::validation']]],
   ['convert_5ffully_5fconnected_5fweights',['convert_fully_connected_weights',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6e2c47772be91252ef78e8c7fe67ef12',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af26eb814a56ed238d734b476a08a36ec',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; uint8_t &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad72a6f02d381cf4fb42ef050f4de0793',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af731f5f25a5302adac2184118e6fc094',1,'arm_compute::test::validation::reference::convert_fully_connected_weights(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;original_input_shape, const DataLayout training_data_layout)']]],
   ['convert_5fpolicy',['convert_policy',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#aa7b3781f10fc0ac73a9a4f748e22d3d4',1,'arm_compute::graph::EltwiseLayerNode']]],
+  ['convert_5frange_5fpair',['convert_range_pair',['../namespacearm__compute_1_1test_1_1detail.xhtml#a8f88ff91d07f88724302b134e4cd7eac',1,'arm_compute::test::detail']]],
   ['convert_5fto_5fasymmetric',['convert_to_asymmetric',['../namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a',1,'arm_compute::test::validation']]],
   ['convert_5fwindow_5fcoord_5fto_5fposition',['convert_window_coord_to_position',['../namespacearm__compute.xhtml#afe3b7128bf77dd12c85eed944fe5b3d4',1,'arm_compute']]],
   ['convolution',['convolution',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a01a7620e1490bfee842dd8ab9bd0ea4c',1,'arm_compute::test::validation::reference']]],
@@ -465,15 +497,18 @@
   ['correct_5ftransform_5fcoords',['correct_transform_coords',['../classarm__compute_1_1_bounding_box_transform_info.xhtml#a4a0745ad0a3b87c22a1997bcf0bc92b6',1,'arm_compute::BoundingBoxTransformInfo']]],
   ['cppboxwithnonmaximasuppressionlimitkernel',['CPPBoxWithNonMaximaSuppressionLimitKernel',['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a2db2f717ca636c4f12fd5651d71f03a8',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::CPPBoxWithNonMaximaSuppressionLimitKernel()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a686ed0bcee9015d74bc8fcca2a3a80e1',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::CPPBoxWithNonMaximaSuppressionLimitKernel(const CPPBoxWithNonMaximaSuppressionLimitKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#abed7dfd17e9dcb4c03636e555c700c5f',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::CPPBoxWithNonMaximaSuppressionLimitKernel(CPPBoxWithNonMaximaSuppressionLimitKernel &amp;&amp;)=default']]],
   ['cppcornercandidateskernel',['CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#abb90b47d993e5d8d96bba4e907926126',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#af988c4afc4ef09f2ed1f5baf6ac01aee',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ad92b8672298f7675cccee2e683f2f6a6',1,'arm_compute::CPPCornerCandidatesKernel::CPPCornerCandidatesKernel(CPPCornerCandidatesKernel &amp;&amp;)=default']]],
+  ['cppdetectionoutputlayer',['CPPDetectionOutputLayer',['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a0c04f240b8b260665440c161d9a7fae9',1,'arm_compute::CPPDetectionOutputLayer::CPPDetectionOutputLayer()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a48f2354fc7b04280d6b88ae2d56a1ba0',1,'arm_compute::CPPDetectionOutputLayer::CPPDetectionOutputLayer(const CPPDetectionOutputLayer &amp;)=delete']]],
   ['cppdetectionwindownonmaximasuppressionkernel',['CPPDetectionWindowNonMaximaSuppressionKernel',['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a8058341d64fa8dd14cac28d6ceea657c',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a88722c520f6e69c0155b0dea15f6c3a4',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a75a7146dda6f8b2025ae5fe2bbd5bec4',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default']]],
   ['cppflipweightskernel',['CPPFlipWeightsKernel',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a669938cb70ce415bb02f2c75f5a478d3',1,'arm_compute::CPPFlipWeightsKernel::CPPFlipWeightsKernel()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a3fec9472b874ccb94195094541bb14b4',1,'arm_compute::CPPFlipWeightsKernel::CPPFlipWeightsKernel(const CPPFlipWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4e9100f26eb37d4e9f11aee6c1b5f362',1,'arm_compute::CPPFlipWeightsKernel::CPPFlipWeightsKernel(CPPFlipWeightsKernel &amp;&amp;)=default']]],
+  ['cppnonmaximumsuppression',['CPPNonMaximumSuppression',['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#ae19bfdeb3b571b9514011b10a2ed5adc',1,'arm_compute::CPPNonMaximumSuppression::CPPNonMaximumSuppression()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a61b6aa95e45069965a365837ca3347a1',1,'arm_compute::CPPNonMaximumSuppression::CPPNonMaximumSuppression(const CPPNonMaximumSuppression &amp;)=delete']]],
   ['cpppermutekernel',['CPPPermuteKernel',['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ad95ff8fce8fe09a6b8f7d54d746e38fb',1,'arm_compute::CPPPermuteKernel::CPPPermuteKernel()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a34c3007dbd5acec7d1d1d9b49ebc461a',1,'arm_compute::CPPPermuteKernel::CPPPermuteKernel(const CPPPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a67c68efcc0e4c376502c9f014c5ecd27',1,'arm_compute::CPPPermuteKernel::CPPPermuteKernel(CPPPermuteKernel &amp;&amp;)=default']]],
   ['cppsorteuclideandistancekernel',['CPPSortEuclideanDistanceKernel',['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a2a7a5f9ca6b6738a340938d5ea7b20b8',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a9c1505ea86b0f053bad9e7a595c30f82',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aacec9eede61860a3971a85c54b6a5066',1,'arm_compute::CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel(CPPSortEuclideanDistanceKernel &amp;&amp;)=default']]],
+  ['cpptopkvkernel',['CPPTopKVKernel',['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a9786e51541427eddb8a14214d70ef8cf',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#aeae0ca26d926822e4c3ddcbdd890781c',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel(const CPPTopKVKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a5da53490e64670ebf51e267bcc89ab35',1,'arm_compute::CPPTopKVKernel::CPPTopKVKernel(CPPTopKVKernel &amp;&amp;)=default']]],
   ['cppupsamplekernel',['CPPUpsampleKernel',['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a772b3a997dafa6c7639ddb86223125c5',1,'arm_compute::CPPUpsampleKernel::CPPUpsampleKernel()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ade0b22ebd85d13fa476cbb3260b675b8',1,'arm_compute::CPPUpsampleKernel::CPPUpsampleKernel(const CPPUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a38b5fc616bb3800be24e8ac5c1016eaa',1,'arm_compute::CPPUpsampleKernel::CPPUpsampleKernel(CPPUpsampleKernel &amp;&amp;)=default']]],
   ['cpu_5finfo',['cpu_info',['../classarm__compute_1_1_i_scheduler.xhtml#ab0fd9e7b4f6240c55b4fe6a54d4418b5',1,'arm_compute::IScheduler']]],
   ['cpu_5fmodel_5fto_5fstring',['cpu_model_to_string',['../namespacearm__compute.xhtml#a5516ba576a612c73954609522347b576',1,'arm_compute']]],
   ['cpuinfo',['CPUInfo',['../classarm__compute_1_1_c_p_u_info.xhtml#ac10ab8f6db7ac07935466d38350e7c9b',1,'arm_compute::CPUInfo::CPUInfo()'],['../classarm__compute_1_1_c_p_u_info.xhtml#a0efc7dde750cb74d8377fbb439bc4892',1,'arm_compute::CPUInfo::CPUInfo(const CPUInfo &amp;cpuinfo)=delete'],['../classarm__compute_1_1_c_p_u_info.xhtml#a3ec830b104ae38449814a489ec9ea11c',1,'arm_compute::CPUInfo::CPUInfo(const CPUInfo &amp;&amp;cpuinfo)=delete']]],
-  ['create',['create',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::CLFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::GCFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::NEFunctionFactory::create()'],['../classarm__compute_1_1utils_1_1_image_loader_factory.xhtml#ada8c92fe057e34525e7f8c4e8e422179',1,'arm_compute::utils::ImageLoaderFactory::create()']]],
+  ['create',['create',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::CLFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::GCFunctionFactory::create()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79',1,'arm_compute::graph::backends::NEFunctionFactory::create()'],['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml#add9adb2d4e6b12ac04f461bcbf0a17d2',1,'arm_compute::cl_gemm::CLGEMMReshapedConfigurationFactory::create()'],['../classarm__compute_1_1utils_1_1_image_loader_factory.xhtml#ada8c92fe057e34525e7f8c4e8e422179',1,'arm_compute::utils::ImageLoaderFactory::create()']]],
   ['create_5factivation_5flayer',['create_activation_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a0f5afb0ddd5aec3a8e4df3c56d7d91f4',1,'arm_compute::graph::backends::detail']]],
   ['create_5fbatch_5fnormalization_5flayer',['create_batch_normalization_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5d1a73ab4a0b267033a569c46813b9d5',1,'arm_compute::graph::backends::detail']]],
   ['create_5fbounding_5fbox_5ftransform_5flayer',['create_bounding_box_transform_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab3787ac008a709edda8d347370bbad61',1,'arm_compute::graph::backends::detail']]],
@@ -488,6 +523,8 @@
   ['create_5fdefault_5fpass_5fmanager',['create_default_pass_manager',['../namespacearm__compute_1_1graph.xhtml#a1d56c5f246a7ed8c16f5eefa59bb587f',1,'arm_compute::graph']]],
   ['create_5fdepthwise_5fconvolution_5flayer',['create_depthwise_convolution_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab8ff2a40f95b76ec10ac2a98d1a8d594',1,'arm_compute::graph::backends::detail']]],
   ['create_5fdepthwise_5fconvolution_5flayer_3c_20gcdepthwiseconvolutionlayerfunctions_2c_20gctargetinfo_20_3e',['create_depthwise_convolution_layer&lt; GCDepthwiseConvolutionLayerFunctions, GCTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a08ab53b1d15e738a39f29d778a91a512',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fdetection_5foutput_5flayer',['create_detection_output_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#afce1d2d783bb97a3a8c3c406c8cf6b9c',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fdetection_5foutput_5flayer_3c_20cppdetectionoutputlayer_2c_20cltargetinfo_20_3e',['create_detection_output_layer&lt; CPPDetectionOutputLayer, CLTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9',1,'arm_compute::graph::backends::detail']]],
   ['create_5feltwise_5flayer',['create_eltwise_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa37faf92f78c0f5cefe2d43c8bf07f18',1,'arm_compute::graph::backends::detail']]],
   ['create_5feltwise_5flayer_3c_20gceltwisefunctions_2c_20gctargetinfo_20_3e',['create_eltwise_layer&lt; GCEltwiseFunctions, GCTargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a863bcac2c361e883edf7f9abb4abd9a7',1,'arm_compute::graph::backends::detail']]],
   ['create_5ferror',['create_error',['../namespacearm__compute.xhtml#a439338e8e5a7c76a079aca52e16cff79',1,'arm_compute']]],
@@ -497,7 +534,7 @@
   ['create_5fgenerate_5fproposals_5flayer',['create_generate_proposals_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1a18725e5da4a7ae62c9a3b731ab8fe1',1,'arm_compute::graph::backends::detail']]],
   ['create_5fhog',['create_HOG',['../namespacearm__compute_1_1test.xhtml#a2e6c79aeedb1c5c9482568562e310fba',1,'arm_compute::test']]],
   ['create_5fkernel',['create_kernel',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a8c2942ccd8b3f3b82e3edb7950a9e414',1,'arm_compute::CLKernelLibrary::create_kernel()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a622a42cbd9eefe938d3bf87869f0b6be',1,'arm_compute::GCKernelLibrary::create_kernel()'],['../namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574',1,'arm_compute::create_kernel()']]],
-  ['create_5flayer',['create_layer',['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#afd0f42ef97e62ef3b6849bcbb8a7533a',1,'arm_compute::graph::frontend::ILayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::InputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::OutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ActivationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BatchNormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_bounding_box_transform_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BoundingBoxTransformLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ChannelShuffleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConcatLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DeconvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DummyLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::EltwiseLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FlattenLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FullyConnectedLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::GenerateProposalsLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizePlanarYUVLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PadLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PermuteLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PoolingLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_prior_box_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PriorBoxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReorgLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReshapeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ResizeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ROIAlignLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ScaleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SliceLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SoftmaxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::UpsampleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_y_o_l_o_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::YOLOLayer::create_layer()']]],
+  ['create_5flayer',['create_layer',['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#afd0f42ef97e62ef3b6849bcbb8a7533a',1,'arm_compute::graph::frontend::ILayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_input_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::InputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::OutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ActivationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BatchNormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_bounding_box_transform_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::BoundingBoxTransformLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ChannelShuffleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConcatLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DeconvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DetectionOutputLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::DummyLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::EltwiseLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FlattenLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::FullyConnectedLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::GenerateProposalsLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizationLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_normalize_planar_y_u_v_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::NormalizePlanarYUVLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pad_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PadLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PermuteLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_pooling_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PoolingLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_prior_box_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::PriorBoxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReorgLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ReshapeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ResizeLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ROIAlignLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::ScaleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SliceLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::SoftmaxLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_upsample_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::UpsampleLayer::create_layer()'],['../classarm__compute_1_1graph_1_1frontend_1_1_y_o_l_o_layer.xhtml#a225fb162b43cbef27d5a1dbd7a51c60d',1,'arm_compute::graph::frontend::YOLOLayer::create_layer()']]],
   ['create_5flogger',['create_logger',['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a12c01aa87c5962d33fc54012a57e37e8',1,'arm_compute::logging::LoggerRegistry']]],
   ['create_5fmemory_5fmanager',['create_memory_manager',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::CLDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::GCDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#ad02dea2a998dcd64725620b72022ba56',1,'arm_compute::graph::backends::NEDeviceBackend::create_memory_manager()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#aa42b584f7715675c47b7ecb70d494e9c',1,'arm_compute::graph::backends::IDeviceBackend::create_memory_manager()']]],
   ['create_5fmulti_5fimage',['create_multi_image',['../namespacearm__compute_1_1test.xhtml#a764bac61748afaf8fd0468b2a4cb09be',1,'arm_compute::test']]],
@@ -506,6 +543,7 @@
   ['create_5fnormalization_5flayer',['create_normalization_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a2dfc97df083b68f8409ba21d8a0110d8',1,'arm_compute::graph::backends::detail']]],
   ['create_5fnormalization_5flayer_3c_20nenormalizationlayer_2c_20netargetinfo_20_3e',['create_normalization_layer&lt; NENormalizationLayer, NETargetInfo &gt;',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab68902cd2bb95bf47f5967718015343c',1,'arm_compute::graph::backends::detail']]],
   ['create_5fnormalize_5fplanar_5fyuv_5flayer',['create_normalize_planar_yuv_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a92b35a365f58606a13baaf4501d78d9e',1,'arm_compute::graph::backends::detail']]],
+  ['create_5fopencl_5fcontext_5fand_5fdevice',['create_opencl_context_and_device',['../namespacearm__compute.xhtml#aca9062d049299f125a442eac466402fd',1,'arm_compute']]],
   ['create_5fpad_5flayer',['create_pad_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a127d0cce11ed3d411eaa5bd25c7a3ac1',1,'arm_compute::graph::backends::detail']]],
   ['create_5fpermute_5flayer',['create_permute_layer',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aa65a1becdfa5fc3533d79bba0cd4095c',1,'arm_compute::graph::backends::detail']]],
   ['create_5fpool',['create_pool',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab414c062d699e4a5a729a9221cb02e2b',1,'arm_compute::BlobLifetimeManager::create_pool()'],['../classarm__compute_1_1_i_lifetime_manager.xhtml#ab14145b312cf5bf366bc9d7c143f85a1',1,'arm_compute::ILifetimeManager::create_pool()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ab414c062d699e4a5a729a9221cb02e2b',1,'arm_compute::OffsetLifetimeManager::create_pool()']]],
diff --git a/documentation/search/functions_3.html b/documentation/search/functions_3.html
index 15f06ab..3dca367 100644
--- a/documentation/search/functions_3.html
+++ b/documentation/search/functions_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_3.js b/documentation/search/functions_3.js
index 0455df5..bc90c15 100644
--- a/documentation/search/functions_3.js
+++ b/documentation/search/functions_3.js
@@ -4,7 +4,7 @@
   ['data_5flayout',['data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::ITensorInfo::data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::SubTensorInfo::data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::TensorInfo::data_layout()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::CLAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::GCAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::test::IAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::Accessor::data_layout()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::SimpleTensor::data_layout()']]],
   ['data_5flayout_5ffrom_5fname',['data_layout_from_name',['../namespacearm__compute.xhtml#a834b76c7d21af898f39def3b787d7530',1,'arm_compute']]],
   ['data_5fsize_5ffrom_5ftype',['data_size_from_type',['../namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab',1,'arm_compute']]],
-  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab71f703bd3f185e8d06c405e0d15d52a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ca1814eff79e9a3d6d693849683d8f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateS16Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77a7b07127f4aa5d92f20e6014db8867',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateU8Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67f6d1602011afbc2ccef6f90a774c16',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2688678165d426def947a6240127b12b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, false, false })), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bcdcdf3e14fa211e3df60f1bcb8bc36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad20fc64935af732f862cfd448fb0436d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae948880eae2d3491e8cc417fb6af0d36',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecb5da7dbdc0508399748704378c4639',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae74027b0c94f3b7cc2affa94a9d9ab3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_gamma, use_beta, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25e2030754af10983828182e0deaeed',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe9d26603a71b3c45ebf1d4ac0e3bee',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, block_shape_shape, output_shape, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab486c194d8d408aefb3eae9cca4c2563',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb242fc7a08cc518edaee5c36262f8cb',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2 })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1767a5d935fd8a46e9c006e3782c3bb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;BoxesInfo&quot;, { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), framework::dataset::make(&quot;PredBoxesInfo&quot;,{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;DeltasInfo&quot;, { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;BoundingBoxTransofmInfo&quot;, { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dd1febe605b2db8324655e5c693abd4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0324d8b990822bf5a4198dbd314c3bb6',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95cb3ec331c9716238f345cf079ebb63',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4718e06b14b31bf5ee5327d5d7bd01d4',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;, { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1c198082b24a308f1d479a64634a6dc',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9adefa93f6a8d40b690373c0d3b697c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab17d85ca94ce27b1318a258babe9f0c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af01e7379b497c6925355012544f57008',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89dea49d6442ce20e618d1a736c8f854',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4 })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 1, 1, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c6289eccdc5762de725d4af56dc8db7',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4bbb1df52cf725ee2fba20efe08d6b1',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a471573534197b2ed91dce9bd8f2e12c1',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBtoU8, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGB_to_U8), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac84cb1a81d28c2872457ba2d6741f399',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68ece19a4b3449b89b4e0775c7f118a3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a04f63f20e265174810a33393d25928',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a12a78eeb0beb40cd2a4f93a4e50dd7ed',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6024ddbc49ec8e38f10ccb62e1796431',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9ae10d09097adac5ab02eb69db2450b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82ec923626279db3a90687b43a7724aa',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make(&quot;EnableFastMath&quot;, { false, false, false, false, false, false, true, true })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a420888ddfd7ba583d4bd113a72bec70f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378731124b458a89a8e501b813d55870',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe95cd0bbd0e16272be4bf41d7a17ad5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87c63bcb10f8d9d2dd3b697117f9de66',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3afcbc3a0df0d3476169ad0d536550da',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae19ae5ebfc0561f46de271fc37f13c77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af535cbe0bc5bbe1318f4719bacdd4fd2',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3be02a001fd0ea7533670a5bc4bbfbff',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60bce01d83538dd27cddcbea97046c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae408ebf375fe9401ddb3fc30be6ee254',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7abb3c5ef69509a8a8c2ec8e7dea242',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70d260ea6070965cb0bab9d6559abb28',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;scores&quot;, { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make(&quot;deltas&quot;,{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make(&quot;anchors&quot;, { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make(&quot;proposals&quot;, { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;scores_out&quot;, { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;num_valid_proposals&quot;, { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make(&quot;generate_proposals_info&quot;, { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8cbbd68453259f0c10bde13e03bde34',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abbf29c3196014ae38a994e8278407bc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01c920f4e14bcf0df015004b0e73691',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 4U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02f7704050bf75595bbb4009a6bd12c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15221160dbe648335c35231c529f65d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;InputWeightsInfo&quot;, { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;ProjectionBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellStateInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ScratchInfo&quot;, { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6475de3c912574ea8dbf02addf6cfe00',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7240e6d673468111723e7b4a20145aeb',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a07f8a03ee00da37a5ba6b89c7e748d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a815667e6214a460ca2b32b8a3d2991b8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, true, true })), input_info, output_info, padding, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09dc286bdc4ddde0d0d7914ad026346',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::U16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 5U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(21U, 64U, 2U, 128U), 1, DataType::F32), TensorInfo(TensorShape(2U, 21U, 64U, 128U), 1, DataType::U16), })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(1U, 1U, 1U, 1U), PermutationVector(2U, 1U, 3U, 0U), PermutationVector(3U, 2U, 1U, 0U), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true, true, false, false, false, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Scale&quot;,{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d47360b71b942aa8a57912b3b1d7d3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PriorBoxInfo&quot;,{ PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), })), framework::dataset::make(&quot;Expected&quot;, { true, false})), input1_info, input2_info, output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0c3565b30f4234d850c64a2a6ea89',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { Coordinates(4), Coordinates(0, 2), Coordinates(2) })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a259fed1b314963b2646ab1d9fda3d0d5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25f2ef65d5bc1365c06e9a12b64a9f4f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0f1d245d54dbf144b789d5917838329',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb0b52b4f9be21c5363b9843ba2b496e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64), TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;Stride&quot;, { 2, 2, 4, 3 })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, true, false })), input_info, output_info, stride, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3966da5462e4f9aeff9a4c5c766a971',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallReorgLayerDataset(), datasets::LargeReorgLayerDataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8870dc8041b8433f43da5ec26e5dada',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9a599036cbe43ea19a36c05257d5f87',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1a7b6a03b15da9425ba83e29e8743ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;RoisInfo&quot;, { TensorInfo(TensorShape(5, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 3U), 1, DataType::F16), TensorInfo(TensorShape(5, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 3U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 2U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e5b7cad90ebb803b5134d7577b34bc1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32), TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16), TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32), TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Policy&quot;,{ InterpolationPolicy::BILINEAR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA, })), framework::dataset::make(&quot;BorderMode&quot;,{ BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, true, false, false, false })), input_info, output_info, policy, border_mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abddf84b23fdba6315be03f17307b0e14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa465d22edcd658d50ade39d52334aa3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, starts, ends, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a771a5631851d0b049d2c941a4f22ecd5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa43a1389ad43d3659384478c104f81e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4e6afca4acace0df44e4dbdbbb6b64a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, block_shape_shape, paddings_shape, output_shape, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0678383baafa372656f23d66712fe5af',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;PaddingsShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, paddings_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f596a5c3403238c30607e64d9fbb3d1',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2, 2 })), framework::dataset::make(&quot;PadLeft&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;PadRight&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49277b316cc621ed0e9fd829cbc21077',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Axis&quot;, { 4, 2, 2 })), framework::dataset::make(&quot;Splits&quot;, { 4, 5, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, axis, splits, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed1389e2305dbba938bf6b9b95b0e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea9ce98d4af597ef7dfed976563a53dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Strides&quot;, { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, starts, ends, strides, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3e78a742ac6ca0a855fad18d4f3cdb3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68ac79ae9ec2d2d1941c30cb23c5124c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87d14ef9b0840f83d5e9451ea8e9f037',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad941eafe31aa908e4c39405990a6e148',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778b3df465ed2c9457feb9ea872f0ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, upsampling_policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79f123bc8a8556c3147f80b968ba2d38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93528474c38e7f0a40c7668b34e4c45a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0806d3aa5c8a059553ad93b573e4b82c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55409bde5927424cc29466f6c088a33a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNCHW, LargeWinogradInputTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_in, winograd_info, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d5502c66cceb459f5e78210c455bbdf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNCHW, LargeWinogradFilterTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_a, output_tile, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31ec28b5ef4440724706cde4709bef0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNCHW, LargeWinogradOutputTransformDatasetNCHW), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16 })), shape_a, winograd_info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72aab74351767515bdc1e6cc4d2bf516',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4104fbe4e32e1f40aef2ef215385cfc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerReducedDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a539c8825b54233673d99ba188a6bcc49',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a6be9a28cd340cd10813b2be8d1a6ef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae904c8bf0b18987aa7ed5dba0d3c60d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21aee323ab2c48634afcdaa5d1d87901',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e109b3ab75f2113c4158b7187f899c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cf9c539b52f835653e100d3f309856e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29fea97db54d4560d46d8752ec59eb07',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae27f97a73d36293a94307d382e27c9b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab62d37f727e4d9bcafb222b2d203acf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62d4f856c1a8891d8461f191eed5bd9d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6febcfe6c8584f2def828a3cd49d1531',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8b8b22086f107a6db937157bbaa9647',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;FastMath&quot;, { true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb65b429d8bb356a6aea3a366ef56e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e5db1c898c389b185d215fbced2715a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ 0, 8, 13, })), framework::dataset::make(&quot;Max&quot;,{ 205, 300, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb90caff595b774fc86cc53bd5023e58',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d2f5d2790a1491bfa9b326bb93a90c6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d93fd83742ad7467793fd97fa86fa3f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true, false, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d1ab5d9aeab4c3c99c04cc8ff15bc77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Scale&quot;,{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false })), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed08bc1c9d8813e8b3e6d7da9c892ad1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3fde559e0fbcf7d84408f87ce108d14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6e17cb959b8c376db868f6154a483e3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3830d4e647f546ac6d38972d094d8b5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;BorderMode&quot;, { BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE, })), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER, SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6f344fd1ac7dd22a492166e451be5c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbaf14fbeb0b6de2b5c79a3186e281b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274bed0845c8fb1e2e56d175d82efe52',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U16), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3a9be28851ffe70ea37f1da42c13ac1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c9d222c8e5c1ef02fa9f4b343f0a976',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 10U }, TensorShape{ 10U, 10U }, TensorShape{ 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U, 10U }}), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingSize{ 0, 0, 0, 0 }, PaddingSize{ 0, 36, 0, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }})), framework::dataset::make(&quot;Strides&quot;, { Strides{}, Strides{ 1U, 50U }, Strides{ 1U, 50U }, Strides{ 1U, 50U, 900U }, Strides{ 1U, 50U, 900U, 9000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U, 900000U }})), framework::dataset::make(&quot;Offset&quot;, { 0U, 4U, 204U, 204U, 204U, 204U, 204U })), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff7b127bdccdb0be89b5f18bf4fbf777',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U }, TensorShape{ 2U, 3U, 5U }, TensorShape{ 2U, 3U, 5U, 7U }, TensorShape{ 2U, 3U, 5U, 7U, 11U }, TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}), framework::dataset::make(&quot;NumDimensions&quot;, { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })), framework::dataset::make(&quot;TotalSize&quot;, { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a27db011848222cd739c833cd57537632',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -3.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a6ef92b04d435ab565a26eeebcdced806',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 2.f, 3.f, -3.f, -4.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4eaacf0c251a42054ef98ad17828ea1a',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a1168f71fb63650656eed1a480243762d',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 1.f, 2.f, 2.f, -3.f, -3.f, -3.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a627a856fabfe1b44438ed3cf5b741482',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -4.f, -4.f, -4.f, -5.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a694e9cd4762973da6bfc01e10c9e5313',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), shape, coordinate, ref_index):&#160;Utils.cpp'],['../_window_iterator_8cpp.xhtml#acd2ef152b1743c15de3f67238d0eac43',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;Window&quot;, { create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2)) }), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(0, 0) }), create_vector({ Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4) }), create_vector({ Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1) }) })), window, expected):&#160;WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a73168adf798e300ad06a0341c1c9bd59',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make(&quot;Window&quot;, create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make(&quot;Start&quot;, { 0, 1, 3, 2, 4 })), framework::dataset::make(&quot;End&quot;, { 0, 2, 5, 8, 7 })), framework::dataset::make(&quot;RowSize&quot;, { create_vector({ 4 }), create_vector({ 8, 8 }), create_vector({ 4, 8, 8 }), create_vector({ 8, 8, 16, 16, 16, 16, 4 }), create_vector({ 16, 16, 16, 16 }), })), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
+  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ece0381b862c0380738c6a20ba6fa9f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cf751456bb23643402494b0d60e896c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateU8Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7953698326d53bf5c662c6c3f53347',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2688678165d426def947a6240127b12b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, false, false })), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a849706f06089adc69a74d78ad6609474',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 4, 0, 2, 0 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, false })), input_info, output_info, axis, operation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae9207ebcb35e993edcc60ae989e28d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bcdcdf3e14fa211e3df60f1bcb8bc36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae87c36e25c2842550c96bcd0c2ae64b8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae06592c37d758618a2453ba531d44f3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), shape, data_type, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af704b1c4e364329320f5aab76722a5e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bf71df22cf01e4368b66a37c47cc1bd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee8fff2abe7ddefd3ec1df377eea2c84',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_gamma, use_beta, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25e2030754af10983828182e0deaeed',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab486c194d8d408aefb3eae9cca4c2563',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb242fc7a08cc518edaee5c36262f8cb',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2 })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a984b5038e80bd536684ca2ae23cc567d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1767a5d935fd8a46e9c006e3782c3bb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;BoxesInfo&quot;, { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), framework::dataset::make(&quot;PredBoxesInfo&quot;,{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;DeltasInfo&quot;, { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), framework::dataset::make(&quot;BoundingBoxTransofmInfo&quot;, { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb226ba1db8489dcf15c6af89835f61',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04582bdd10e46245471f749ce701a35b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17a8f5af696f2a516279c6a9ed7c8c82',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;NumGroups&quot;,{ 1, 2, 2, 4, 3, 2, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af01e7379b497c6925355012544f57008',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89dea49d6442ce20e618d1a736c8f854',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4 })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 1, 1, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63e53b554dd67e816487c7313f7a0b99',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c6e504f8c7a20e65a54ec87fb1a6587',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ff15f7408a55dffbf9aa6c956805cf0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBtoU8, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac65df939da2cfd7e0afd5f8c69e24cc9',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3672b13658f3d8fc31be77f9c121fc3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cb6baaad52a436770c6e1fe25443b33',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afbb8b943e957bb805a291dfab75617c6',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad66aa3197275df9b5ad79f3bb111f3fa',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ffd8a361da1357b6142d3858ca1b76e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99099c34e332efb70e1685e0f35833a4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configure_dataset, shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a482f48e436d396077b8b6eef81b05dd8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 42U), 1, DataType::F16), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), })), framework::dataset::make(&quot;OriginalInput&quot;, { TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NCHW, DataLayout::UNKNOWN, })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, false})), input_info, output_info, original_input_shape, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173d919e5152583a4b2b0ea82f937d47',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20c992ef5f3ed415c1e5a5a3ab19287d',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make(&quot;EnableFastMath&quot;, { false, false, false, false, false, false, true, true })), framework::dataset::make(&quot;Expected&quot;,{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb065a41d5c0bce8f2e6434d622d1b0d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee35477d880f96a3452748151cef29ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f63ffde26ef561824136f3ed5ce5626',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 0U, 0U, 0U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 0U, 0U, 0U, 0U, 1U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae19ae5ebfc0561f46de271fc37f13c77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af535cbe0bc5bbe1318f4719bacdd4fd2',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a298d57f0fde19b5f0952a70be306e134',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;MinMax&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, min_max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d12512b7fe4d897c48b9963cc192515',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b5e91ed93508f02f0d84f8647d70545',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3be02a001fd0ea7533670a5bc4bbfbff',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44b43a2397a2845c12d9d56b727ef233',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make(&quot;IndicesInfo&quot;, { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(10U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ccc6ea082b6287dae84dde7ef79b14c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b2e02f12273c1b7a724328e3912a9cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallGEMMLowpDataset(), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0d31acbe1344cd7c3a52388a20dd06e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add0fceafa27f807388430edba8dc6ca3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab87a4db4c169d4c9db1f6b5e18048f0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, v0_value, h0_value, i_value_lhs, i_value_rhs)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb8ee580efcdf567d6a4dae88c475000',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationSmall, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7f83bdb36e6941d35892103ce3efe9',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4f254c02834487267671c337e62f0e0',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcadccb845be881a26d1255fd80c3e08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration0, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b5d13a6ee6b773fc732ec5579bf6132',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration1, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70d260ea6070965cb0bab9d6559abb28',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;scores&quot;, { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make(&quot;deltas&quot;,{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make(&quot;anchors&quot;, { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make(&quot;proposals&quot;, { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;scores_out&quot;, { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;num_valid_proposals&quot;, { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make(&quot;generate_proposals_info&quot;, { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0d8f91f0b1c186d8af5621eacd01594',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a52a920e879bf84c11e62764a9500c9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab643382ce12afed7780a6707991da1dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48af4ac179552d400582f2f4178318f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 3U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15221160dbe648335c35231c529f65d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;InputWeightsInfo&quot;, { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;ProjectionBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellStateInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ScratchInfo&quot;, { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a327ea02cf18e7b8abed280f64b6e6d07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d285112d4d773d616f899d4575d8abf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a276598901fe9b24094975116ac66d5e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, true, true })), input_info, output_info, padding, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Scale&quot;,{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d47360b71b942aa8a57912b3b1d7d3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PriorBoxInfo&quot;,{ PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), })), framework::dataset::make(&quot;Expected&quot;, { true, false})), input1_info, input2_info, output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a228e1979c76863f97ffdea7be59fda69',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae54270fd6f7436ab14dfef4910984a5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::F32), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(10U), 1, DataType::U8), }), framework::dataset::make(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f})), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0c3565b30f4234d850c64a2a6ea89',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { Coordinates(4), Coordinates(0, 2), Coordinates(2) })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25f2ef65d5bc1365c06e9a12b64a9f4f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2468a9d9dc7b6450258bbb8eff28390',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb0b52b4f9be21c5363b9843ba2b496e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64), TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;Stride&quot;, { 2, 2, 4, 3 })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, true, false })), input_info, output_info, stride, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5551196e8727559372e22f031924b920',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8870dc8041b8433f43da5ec26e5dada',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affdcdb0eb8b772707770affb973a6efe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;AxisInfo&quot;,{ TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9a599036cbe43ea19a36c05257d5f87',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53125733acb5d4157ebb4b2f191433b3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;RoisInfo&quot;, { TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F16), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1191ea29766e411ab8173ae62e84a69e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e5b7cad90ebb803b5134d7577b34bc1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32), TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16), TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32), TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Policy&quot;,{ InterpolationPolicy::BILINEAR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA, })), framework::dataset::make(&quot;BorderMode&quot;,{ BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, true, false, false, false })), input_info, output_info, policy, border_mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97e496b2dd035ddb737c9e2d3c71a381',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::MediumShapes(), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebc10ebaa1aa56ca405a5bc8b7e11026',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;CInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(13U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;XInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;YInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), c_info, x_info, y_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb8fd2b1ee77b9b379853485bb429217',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, shape, same_rank)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87d9f386f53d15a1403514f8dcc059bd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, starts, ends, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a771a5631851d0b049d2c941a4f22ecd5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4c6b8066352bd78793a4673ccedfb8c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SoftmaxLayerSmallShapes(), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa43a1389ad43d3659384478c104f81e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ec0204e16e156843a46d670618baa25',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::S32), })), framework::dataset::make(&quot;PaddingsShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, paddings_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f596a5c3403238c30607e64d9fbb3d1',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2, 2 })), framework::dataset::make(&quot;PadLeft&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;PadRight&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0b36b976c5b2f378f229b4c9db95170',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Axis&quot;, { 4, 2, 2 })), framework::dataset::make(&quot;Splits&quot;, { 4, 5, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, axis, splits, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed1389e2305dbba938bf6b9b95b0e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa592247e90b4ec742ec8d73842c391e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), })), framework::dataset::make(&quot;Axis&quot;, { -3, 1, -4, -3, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdb062eabf45af9f84aa11d0f74dc6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Strides&quot;, { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, starts, ends, strides, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3e78a742ac6ca0a855fad18d4f3cdb3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302f7eee312512ab90d7ae61eeaff396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e33546f75c1de3f66b180c270465d66',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F16), TensorInfo(TensorShape(10, 10), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F32)})), framework::dataset::make(&quot;Multiples&quot;,{ Multiples{1, 2}, Multiples{1, 2}, Multiples{0, 1} })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false })), input_info, output_info, multiples, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36db9499786f252198703486e5d1cd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ceb73ac4972a242438dc2ada29ecb2d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ccbbd6a9efa693cbd9ad13cafef40f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, })), framework::dataset::make(&quot;Axis&quot;, { -3, 3, -4, -3, 1, 1 })), framework::dataset::make(&quot;Num&quot;, { 1, 1, 1, 1, 0, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, false })), input_info, output_info, axis, num, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778b3df465ed2c9457feb9ea872f0ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, upsampling_policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79f123bc8a8556c3147f80b968ba2d38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93528474c38e7f0a40c7668b34e4c45a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0806d3aa5c8a059553ad93b573e4b82c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45b09270b4877361f007dd6f4320d2f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), })), framework::dataset::make(&quot;Numclasses&quot;, { 1, 1, 1, 0, 1, 1, 1, 1 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true})), input_info, output_info, act_info, num_classes, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c04187b148810b65acce6528c9b83be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;BoundingBox&quot;,{ TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), }), framework::dataset::make(&quot;Scores&quot;, { TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(66U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), })), framework::dataset::make(&quot;Indices&quot;, { TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(3U), 1, DataType::S32), TensorInfo(TensorShape(200U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), })), framework::dataset::make(&quot;max_output&quot;, { 10U, 2U, 4U, 3U, 66U, 1U, 0U, 10000U, 100U, 10U, })), framework::dataset::make(&quot;score_threshold&quot;, { 0.1f, 0.4f, 0.2f, 0.8f, 0.3f, 0.01f, 0.5f, 0.45f, -1.f, 0.5f, })), framework::dataset::make(&quot;nms_threshold&quot;, { 0.3f, 0.7f, 0.1f, 0.13f, 0.2f, 0.97f, 0.76f, 0.87f, 0.1f, 10.f, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, false, false, true, false, false })), bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a822e5814a7ccc966d5bac4d5f2fb0ebe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;PredictionsInfo&quot;, { TensorInfo(TensorShape(20, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F16), TensorInfo(TensorShape(20, 10), 1, DataType::S8), TensorInfo(TensorShape(10, 10, 10), 1, DataType::F32), TensorInfo(TensorShape(20, 10), 1, DataType::F32)}), framework::dataset::make(&quot;TargetsInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32)})), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(1), 1, DataType::U8)})), framework::dataset::make(&quot;k&quot;,{ 0, 1, 2, 3, 4 })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false, false })), prediction_info, targets_info, output_info, k, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7adca64f0e6de4b6f9ce64c45412fe6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe83a791686e736dc7955008a7cf5879',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4104fbe4e32e1f40aef2ef215385cfc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerReducedDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cfdd05c16dfa9aa56d6db3d3d58bab3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a539c8825b54233673d99ba188a6bcc49',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a6be9a28cd340cd10813b2be8d1a6ef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae904c8bf0b18987aa7ed5dba0d3c60d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21aee323ab2c48634afcdaa5d1d87901',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a2ea332437f7dbd127adafbdb4d86b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e109b3ab75f2113c4158b7187f899c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29fea97db54d4560d46d8752ec59eb07',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ed8b4681b5e026cbac93b871e7ade81',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a941173879bda166e543430ccddfcd4e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88360f5eb70b5f76d59e02b0f36d7b08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab62d37f727e4d9bcafb222b2d203acf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dfffa3ac67a2f59c9a5baee840651fd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), weights_info, mvbg_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14bcbfe5c0034af367cd66e4880f7e07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4f1e8c8d3eef49fdc3b0afd81c15ba0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefb03bbb428b161af375b97d075c9a13',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae6e852b77301ed37776a2f7cd93b064',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d3d6603060724a479df2b5e1a24e3e9',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a495f878ba4ab95e9d3f8a151b502f059',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a408064ad787f5a169b92c8bc6a88488a',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62d4f856c1a8891d8461f191eed5bd9d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6febcfe6c8584f2def828a3cd49d1531',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29cffdb4cc566d262e1150a4e8375d49',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac16ee018eeceda8c06745acee046d421',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6abee4ae21d2aaf1c234617ac5bca19',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;FastMath&quot;, { true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b2bcfadb2d0be741a44200a2940692',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e5db1c898c389b185d215fbced2715a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ax&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;ay&quot;, { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a925ebbdb984bd7de1e60ca47eb30502d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a542f3ac6e2b72fc1990b27519c9cf3f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73f99bf66a67a857145c0797dba93c50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94eefbc94d13bbab00525b3b14e66971',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af459dd90146584546f740bbb6975d125',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a414d3a4c353831843e82d283efbae250',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make(&quot;IndicesInfo&quot;, { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2492479cb961e36976a096e29d2b9d4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ 0, 8, 13, })), framework::dataset::make(&quot;Max&quot;,{ 205, 300, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2631171dcf2992c9af515b0451018d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6498b224c9fcde95311d04ab92e9ecf1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d89f8b6714c942b5d8f0c363b863a2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d2f5d2790a1491bfa9b326bb93a90c6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d1ab5d9aeab4c3c99c04cc8ff15bc77',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Scale&quot;,{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false })), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed08bc1c9d8813e8b3e6d7da9c892ad1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c57370131786b1f37e040ffd06bf477',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::F32), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(10U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U), 1, DataType::U8), }), framework::dataset::make(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2021ddb32c83c8e932f5a5d7d315c87c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec29421fa24c95cf9c740944a70e76b4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6e35f864b13d57f8f40dc86931405f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallReorgLayerDataset(), datasets::LargeReorgLayerDataset()), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5f537351eac7d53069515570e9f600f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make(&quot;AxisInfo&quot;, { TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a614bc7d280f8e91c5d60e5794bdaaaec',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;BorderMode&quot;, { BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE, })), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e82562ed5b5aff773e44abff48b5965',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ba4f69454fa7a89821287ee35b448f0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb2afad9a946e9aaf8a2ab7c5429d126',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configuration_dataset, shape, same_rank)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37f7baff1b11a12013415b19f775ac0b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbb047b281e11542f522879a59b6c310',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Medium2DShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75be06f45679b13a90cc51e5ac861018',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;beta&quot;, { 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, })), framework::dataset::make(&quot;axis&quot;, { 1, 1, 1, 1, 1, 1, 1, 0, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true, false })), input_info, output_info, beta, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3820b1ae0dc6219a42e29d9f41903dd0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa592247e90b4ec742ec8d73842c391e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), })), framework::dataset::make(&quot;Axis&quot;, { -3, 1, -4, -3, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a665eb0030e48bccfbcf69ff639da9db6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, data_types), n_values), shape_in, axis, data_type, num_tensors)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1407acae2346c31f76d692cfded640fc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a274bed0845c8fb1e2e56d175d82efe52',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U16), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec1cccf6a6f5355142fa7e94e682f939',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3a9be28851ffe70ea37f1da42c13ac1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab780bab1614f2fd0b354a0905e897c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c9d222c8e5c1ef02fa9f4b343f0a976',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 10U }, TensorShape{ 10U, 10U }, TensorShape{ 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U }, TensorShape{ 10U, 10U, 10U, 10U, 10U, 10U }}), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingSize{ 0, 0, 0, 0 }, PaddingSize{ 0, 36, 0, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }, PaddingSize{ 4, 36, 4, 4 }})), framework::dataset::make(&quot;Strides&quot;, { Strides{}, Strides{ 1U, 50U }, Strides{ 1U, 50U }, Strides{ 1U, 50U, 900U }, Strides{ 1U, 50U, 900U, 9000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U }, Strides{ 1U, 50U, 900U, 9000U, 90000U, 900000U }})), framework::dataset::make(&quot;Offset&quot;, { 0U, 4U, 204U, 204U, 204U, 204U, 204U })), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff7b127bdccdb0be89b5f18bf4fbf777',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;, { TensorShape{}, TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U }, TensorShape{ 2U, 3U, 5U }, TensorShape{ 2U, 3U, 5U, 7U }, TensorShape{ 2U, 3U, 5U, 7U, 11U }, TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}), framework::dataset::make(&quot;NumDimensions&quot;, { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })), framework::dataset::make(&quot;TotalSize&quot;, { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a27db011848222cd739c833cd57537632',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -3.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a6ef92b04d435ab565a26eeebcdced806',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 2.f, 3.f, -3.f, -4.f, -4.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4eaacf0c251a42054ef98ad17828ea1a',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a1168f71fb63650656eed1a480243762d',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 1.f, 2.f, 2.f, -3.f, -3.f, -3.f, -4.f, -4.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a627a856fabfe1b44438ed3cf5b741482',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;, { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make(&quot;FloatOut&quot;, { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -4.f, -4.f, -4.f, -5.f })), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a694e9cd4762973da6bfc01e10c9e5313',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;, { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make(&quot;Coordinates&quot;, { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), framework::dataset::make(&quot;Index&quot;, { 0, 1, 2 })), shape, coordinate, ref_index):&#160;Utils.cpp'],['../_window_iterator_8cpp.xhtml#acd2ef152b1743c15de3f67238d0eac43',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;Window&quot;, { create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2)) }), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(0, 0) }), create_vector({ Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4) }), create_vector({ Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1) }) })), window, expected):&#160;WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a73168adf798e300ad06a0341c1c9bd59',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make(&quot;Window&quot;, create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make(&quot;Start&quot;, { 0, 1, 3, 2, 4 })), framework::dataset::make(&quot;End&quot;, { 0, 2, 5, 8, 7 })), framework::dataset::make(&quot;RowSize&quot;, { create_vector({ 4 }), create_vector({ 8, 8 }), create_vector({ 4, 8, 8 }), create_vector({ 8, 8, 16, 16, 16, 16, 4 }), create_vector({ 16, 16, 16, 16 }), })), framework::dataset::make(&quot;Expected&quot;, { create_vector({ Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
   ['data_5ftype',['data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::ITensorInfo::data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::SubTensorInfo::data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::TensorInfo::data_type()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::CLAccessor::data_type()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::GCAccessor::data_type()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::test::IAccessor::data_type()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::Accessor::data_type()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::SimpleTensor::data_type()']]],
   ['data_5ftype_5ffor_5fconvolution',['data_type_for_convolution',['../namespacearm__compute.xhtml#a01adc12d8e07c06cdb0f03c56a455bf3',1,'arm_compute']]],
   ['data_5ftype_5ffor_5fconvolution_5fmatrix',['data_type_for_convolution_matrix',['../namespacearm__compute.xhtml#a3992df9e8723140a53e49dc194d89ef5',1,'arm_compute']]],
@@ -14,26 +14,29 @@
   ['dataset_5fmode_5ffrom_5fname',['dataset_mode_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#a1afd1c498fb3a1d2315e4c6d87d15754',1,'arm_compute::test::framework']]],
   ['datatestcasefactory',['DataTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#aacdf355fbfb7579c36e50c757809c148',1,'arm_compute::test::framework::DataTestCaseFactory']]],
   ['deconvolution_5finfo',['deconvolution_info',['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#ae304796bd723ec2b2d50b88236498bd1',1,'arm_compute::graph::DeconvolutionLayerNode']]],
-  ['deconvolution_5flayer',['deconvolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a40e377ea8451d7320317ced1b2b687d9',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6e3fca6996ef6ceb9d94cd23389cd537',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;weights, const SimpleTensor&lt; int32_t &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad2dbe8fb35f3482d2e038b8a28f25031',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac3cb1b3d19e3cb12db85561dcb19c176',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)']]],
+  ['deconvolution_5flayer',['deconvolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12bc62165f6277d6196148ce46260d1a',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af7af6f74771afcdb9fee7b948afc4af6',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;weights, const SimpleTensor&lt; int32_t &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a402696fc0412e9052f1d30d6331dfdef',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0d2ea6a35e80f768e55935e819912505',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)']]],
   ['deconvolution_5foutput_5fdimensions',['deconvolution_output_dimensions',['../namespacearm__compute.xhtml#a49d307dcc8f16084a061e1b6e8140eb7',1,'arm_compute']]],
   ['deconvolution_5fupsample',['deconvolution_upsample',['../deconvolution__layer_8cl.xhtml#ad247ccd3e1ca89af642c2b453db71dce',1,'deconvolution_layer.cl']]],
   ['deconvolutionlayer',['DeconvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml#a9215f4450945459837b421c33956f239',1,'arm_compute::graph::frontend::DeconvolutionLayer']]],
   ['deconvolutionlayernode',['DeconvolutionLayerNode',['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a7fdaa1b9676892f546cff1e12dfef3d3',1,'arm_compute::graph::DeconvolutionLayerNode']]],
   ['decorate',['decorate',['../classarm__compute_1_1logging_1_1_i_decorator.xhtml#af7e99677086f647b50a1b4e4248f78f6',1,'arm_compute::logging::IDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_string_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::StringDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_date_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::DateDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_thread_id_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::ThreadIdDecorator::decorate()'],['../classarm__compute_1_1logging_1_1_log_level_decorator.xhtml#a7cc31af1c60cf2317350fca65ba16597',1,'arm_compute::logging::LogLevelDecorator::decorate()']]],
   ['default_5finit',['default_init',['../classarm__compute_1_1_c_l_scheduler.xhtml#a46ecf9ef0fe80ba2ed35acfc29856b7d',1,'arm_compute::CLScheduler::default_init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a19bb5002a62b62e050e89c975f7b9fdf',1,'arm_compute::GCScheduler::default_init()']]],
+  ['default_5finit_5fwith_5fcontext',['default_init_with_context',['../classarm__compute_1_1_c_l_scheduler.xhtml#aa1ab77c1da6b5a6da2e1957352985c8c',1,'arm_compute::CLScheduler']]],
   ['default_5fndrange',['default_ndrange',['../classarm__compute_1_1_c_l_kernel_library.xhtml#adb48a1da7dc6b6f3c1a424d21e1ac1f8',1,'arm_compute::CLKernelLibrary']]],
   ['default_5fvisit',['default_visit',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml#a78d9695424cce30cc0465770427fab06',1,'arm_compute::graph::DefaultNodeVisitor::default_visit()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#af62b93bea1e98919a10bf65eb71f9fce',1,'arm_compute::graph::DotGraphVisitor::default_visit()']]],
   ['delta_5fbilinear_5fc1',['delta_bilinear_c1',['../namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5',1,'arm_compute']]],
+  ['delta_5fbilinear_5fc1_5fquantized',['delta_bilinear_c1_quantized',['../namespacearm__compute.xhtml#ad863f23e0037a10bacad6c483ab4e663',1,'arm_compute']]],
   ['delta_5flinear_5fc1_5fx',['delta_linear_c1_x',['../namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287',1,'arm_compute']]],
   ['delta_5flinear_5fc1_5fy',['delta_linear_c1_y',['../namespacearm__compute.xhtml#ad5fa8bacf824e9538014bfb0dcdaab52',1,'arm_compute']]],
-  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; T1 &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87c420d7f8a98dead76b0b32b2df6777',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa23e45fa7a8f9f196704d4473721d6ab',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af5201f074018073904e418e8e241ae1c',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a109ffc40641c411b40d1ce2d50a771da',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; float &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9dbe0d0e52cf797820d0d2baddf86dd4',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; half &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]],
+  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; T1 &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a97ffa19c49dbe0b8d0e47b0ab15c51dd',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acad5a5cf179151895a976da050f213f4',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int8_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae8d5666de9f1ea545436d8dd3dac7b8a',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a968f4da89a68d28ad39d8e39d8d19f93',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int16_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6b297a6ebf043fe0f8b2ad99a3d12062',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; uint32_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2790b7ea17fe89ea8befa5a0c657f4ae',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; int32_t &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac0a3b5445ea9e2835f0c0321a0afe9b1',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; half &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4f6b2f51f5c49ae3d358f65246581656',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor&lt; float &gt; &amp;src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]],
+  ['depth_5fmultiplier',['depth_multiplier',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a88e38a50a2e964b19521fe8f2e9a144f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode']]],
   ['depth_5foutput_5fgemm3d',['depth_output_gemm3d',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#abbd888f118c2209bf7578eb4f8942a07',1,'arm_compute::GEMMReshapeInfo::depth_output_gemm3d()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#abbd888f118c2209bf7578eb4f8942a07',1,'arm_compute::GEMMInfo::depth_output_gemm3d()']]],
-  ['depthconcatenate_5flayer',['depthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aaca2b6bea6bd88fd39489d1104497330',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a61adbb26afef180f6be269f4158c7379',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a998bf347ddc146fb533250b9ef9ce927',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8a116b530186cf21c5f6c7da7acbd178',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs)']]],
+  ['depthconcatenate_5flayer',['depthconcatenate_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4e15b670980db455ad07397b2c34b610',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; T &gt;&gt; &amp;srcs, SimpleTensor&lt; T &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae87f24b80ddc830b9911fcba89004686',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; uint8_t &gt;&gt; &amp;srcs, SimpleTensor&lt; uint8_t &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab620d10e96dbaf31989ff11b490deef9',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; float &gt;&gt; &amp;srcs, SimpleTensor&lt; float &gt; &amp;dst)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a822ab49e0fc97c2687bb92c079ebf1f1',1,'arm_compute::test::validation::reference::depthconcatenate_layer(const std::vector&lt; SimpleTensor&lt; half &gt;&gt; &amp;srcs, SimpleTensor&lt; half &gt; &amp;dst)']]],
   ['depthwise_5fconvolution',['depthwise_convolution',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a61c5b469efbad8508f073665649c20ac',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1a53e3be4e81fac0a8edd23615195abd',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint8_t &gt; &amp;weights, const SimpleTensor&lt; int32_t &gt; &amp;biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7b3a275cd2ac7ee9d5b75b87766995e4',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5797ba134d2dcec9c4f04e8d06fa06fb',1,'arm_compute::test::validation::reference::depthwise_convolution(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier)']]],
   ['depthwise_5fconvolution_5fmethod',['depthwise_convolution_method',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f',1,'arm_compute::graph::DepthwiseConvolutionLayerNode']]],
   ['depthwise_5fseparable_5fconvolution_5flayer',['depthwise_separable_convolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a71dcbc5f08da9ae1a8981746d7a62322',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;depthwise_weights, const SimpleTensor&lt; T &gt; &amp;depthwise_biases, const TensorShape &amp;depthwise_out_shape, const SimpleTensor&lt; T &gt; &amp;pointwise_weights, const SimpleTensor&lt; T &gt; &amp;pointwise_biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;depthwise_conv_info, const PadStrideInfo &amp;pointwise_conv_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0c7524d5bce923f96be77f49e1da3913',1,'arm_compute::test::validation::reference::depthwise_separable_convolution_layer(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;depthwise_weights, const SimpleTensor&lt; float &gt; &amp;depthwise_biases, const TensorShape &amp;depthwise_out_shape, const SimpleTensor&lt; float &gt; &amp;pointwise_weights, const SimpleTensor&lt; float &gt; &amp;pointwise_biases, const TensorShape &amp;dst_shape, const PadStrideInfo &amp;depthwise_conv_info, const PadStrideInfo &amp;pointwise_conv_info)']]],
-  ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a36e83ad4becd0b24268a048413726f49',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer']]],
-  ['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a81b796571a2ba1e36d6f97fa9c3b4c39',1,'arm_compute::graph::DepthwiseConvolutionLayerNode']]],
+  ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a2f254b05eaf14736eefb3c25f3f7e0ac',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer']]],
+  ['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a5af26ae4aa6a30cb24bba73be6b9d975',1,'arm_compute::graph::DepthwiseConvolutionLayerNode']]],
   ['dequantization_5flayer',['dequantization_layer',['../dequantization__layer_8cl.xhtml#a60e9b00d30a2743653c1f589e33467b9',1,'dequantization_layer():&#160;dequantization_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab77dd3bd732636010753d8080608cd3c',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;min_max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6633ef7fc0852265b2f158a5ef7ae900',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;min_max)']]],
   ['dequantize',['dequantize',['../structarm__compute_1_1_quantization_info.xhtml#ac851f3e86769317dda805cfb4c44f43a',1,'arm_compute::QuantizationInfo']]],
   ['derivative',['derivative',['../derivative_8cl.xhtml#a5bd0ba0e3feaf66458557426291f2a77',1,'derivative():&#160;derivative.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aeae8f44225b61c5a6b05fdfcd82ae3d1',1,'arm_compute::test::validation::reference::derivative(const SimpleTensor&lt; U &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac5079d3fc0f7cf5f8dfb40b882cea1af',1,'arm_compute::test::validation::reference::derivative(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)']]],
@@ -41,14 +44,19 @@
   ['description',['description',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::description()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a07ffe70037e0a16554c868bcdd8f83b5',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::description()']]],
   ['descriptor',['descriptor',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a27295b82a57124dd502fbe8cebe8f9ca',1,'arm_compute::ICLHOG::descriptor()'],['../classarm__compute_1_1_i_h_o_g.xhtml#afc824305b2eaceab36baf5b66a535316',1,'arm_compute::IHOG::descriptor()'],['../classarm__compute_1_1_h_o_g.xhtml#a27295b82a57124dd502fbe8cebe8f9ca',1,'arm_compute::HOG::descriptor()'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::test::CLHOGAccessor::descriptor()'],['../classarm__compute_1_1test_1_1_i_h_o_g_accessor.xhtml#afc824305b2eaceab36baf5b66a535316',1,'arm_compute::test::IHOGAccessor::descriptor()'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a548b8c6fda024da07113ff6cf6ec6af6',1,'arm_compute::test::HOGAccessor::descriptor()']]],
   ['descriptor_5fsize',['descriptor_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a2a347c64540c1d48a579f830ddff622f',1,'arm_compute::HOGInfo']]],
+  ['detection_5foutput_5finfo',['detection_output_info',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf',1,'arm_compute::graph::DetectionOutputLayerNode']]],
   ['detection_5fwindow_5fsize',['detection_window_size',['../classarm__compute_1_1_h_o_g_info.xhtml#a7cbda2c789c461237f0c6eaee8f8cd2a',1,'arm_compute::HOGInfo']]],
   ['detection_5fwindows_5fnon_5fmaxima_5fsuppression',['detection_windows_non_maxima_suppression',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20',1,'arm_compute::test::validation::reference']]],
+  ['detectionoutputaccessor',['DetectionOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(const std::string &amp;labels_path, std::vector&lt; TensorShape &gt; &amp;imgs_tensor_shapes, std::ostream &amp;output_stream=std::cout)'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a9d991af8ac7b4f3379daebd90fd33e58',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(DetectionOutputAccessor &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ad844e13f53bb8d546007d0607445e966',1,'arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor(const DetectionOutputAccessor &amp;)=delete']]],
+  ['detectionoutputlayer',['DetectionOutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml#a2d57b417d167d4e46d3cb3bf9e84f08c',1,'arm_compute::graph::frontend::DetectionOutputLayer']]],
+  ['detectionoutputlayerinfo',['DetectionOutputLayerInfo',['../classarm__compute_1_1_detection_output_layer_info.xhtml#aba5c653899ad75de3548b6c60c08939c',1,'arm_compute::DetectionOutputLayerInfo::DetectionOutputLayerInfo()'],['../classarm__compute_1_1_detection_output_layer_info.xhtml#a13f922d9427581021eca1cc48faa431c',1,'arm_compute::DetectionOutputLayerInfo::DetectionOutputLayerInfo(int num_classes, bool share_location, DetectionOutputLayerCodeType code_type, int keep_top_k, float nms_threshold, int top_k=-1, int background_label_id=-1, float confidence_threshold=std::numeric_limits&lt; float &gt;::lowest(), bool variance_encoded_in_target=false, float eta=1)']]],
+  ['detectionoutputlayernode',['DetectionOutputLayerNode',['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a747fc2559359c5004e3034a30ec7579c',1,'arm_compute::graph::DetectionOutputLayerNode']]],
   ['detections_5fper_5fim',['detections_per_im',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#af3ec399a9e0cea025fa9b37773a6eb13',1,'arm_compute::BoxNMSLimitInfo']]],
   ['device_5fsupports_5fextension',['device_supports_extension',['../namespacearm__compute.xhtml#a6c4a5ca34ebb51d4e2e119a110e4c8f0',1,'arm_compute']]],
   ['dfs',['dfs',['../namespacearm__compute_1_1graph.xhtml#a14abdeb0f575e919aa6d586a95f23920',1,'arm_compute::graph']]],
   ['dilate',['dilate',['../dilate_8cl.xhtml#ae69f64c97993985f7623a252cf9fbe69',1,'dilate():&#160;dilate.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2e49a7bdf96ed64920234da737e1bf86',1,'arm_compute::test::validation::reference::dilate(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9b18443e2ca2d82d1e314cc568ab997f',1,'arm_compute::test::validation::reference::dilate(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml#a2c532d398a5661ff04367252701fa3d4',1,'arm_compute::Window::Dimension::Dimension()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2',1,'arm_compute::ITensorInfo::dimension(size_t index) const =0'],['../classarm__compute_1_1_i_tensor_info.xhtml#ae3372a4569b4702a881b1606b0c144c4',1,'arm_compute::ITensorInfo::dimension(DataLayoutDimension dimension) const =0'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::SubTensorInfo::dimension(size_t index) const override'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765',1,'arm_compute::SubTensorInfo::dimension(DataLayoutDimension dimension) const override'],['../classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97',1,'arm_compute::TensorInfo::dimension(size_t index) const override'],['../classarm__compute_1_1_tensor_info.xhtml#a650247f9a828d1ef60135b01f8f77765',1,'arm_compute::TensorInfo::dimension(DataLayoutDimension dimension) const override']]],
-  ['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0',1,'arm_compute::Dimensions::Dimensions(Ts... dims)'],['../classarm__compute_1_1_dimensions.xhtml#a0d3c59537291735849c740364496a41c',1,'arm_compute::Dimensions::Dimensions(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8',1,'arm_compute::Dimensions::Dimensions(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a38d1df78f2175f8f38f74d4357ad6a35',1,'arm_compute::gles::NDRange::dimensions()'],['../classarm__compute_1_1_i_distribution.xhtml#a254be7b34cd78d12ffc7ed2aba4882b1',1,'arm_compute::IDistribution::dimensions()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad251169c06da412071bdfb6e92444e6e',1,'arm_compute::IDistribution1D::dimensions()']]],
+  ['dimensions',['dimensions',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a38d1df78f2175f8f38f74d4357ad6a35',1,'arm_compute::gles::NDRange::dimensions()'],['../classarm__compute_1_1_i_distribution.xhtml#a254be7b34cd78d12ffc7ed2aba4882b1',1,'arm_compute::IDistribution::dimensions()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad251169c06da412071bdfb6e92444e6e',1,'arm_compute::IDistribution1D::dimensions()'],['../classarm__compute_1_1_dimensions.xhtml#a669af0de951a474c4b443f7bc7c026e0',1,'arm_compute::Dimensions::Dimensions(Ts... dims)'],['../classarm__compute_1_1_dimensions.xhtml#a0d3c59537291735849c740364496a41c',1,'arm_compute::Dimensions::Dimensions(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#aa2c609345b3b6fa8da2486f75fff8ed8',1,'arm_compute::Dimensions::Dimensions(Dimensions &amp;&amp;)=default']]],
   ['disabled_5ffixture_5fdata_5ftest_5fcase',['DISABLED_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad96d45ec005f26e4a61e1ca1f8b8ee31',1,'arm_compute::test::validation']]],
   ['dispatch',['dispatch',['../classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19',1,'arm_compute::GCScheduler']]],
   ['distribution1d',['Distribution1D',['../classarm__compute_1_1_distribution1_d.xhtml#a243c829bced69df597b496eb7456efb0',1,'arm_compute::Distribution1D']]],
diff --git a/documentation/search/functions_4.html b/documentation/search/functions_4.html
index 8985ff2..e713f28 100644
--- a/documentation/search/functions_4.html
+++ b/documentation/search/functions_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_4.js b/documentation/search/functions_4.js
index ab6d5bd..3c7cf3e 100644
--- a/documentation/search/functions_4.js
+++ b/documentation/search/functions_4.js
@@ -1,6 +1,6 @@
 var searchData=
 [
-  ['edge',['Edge',['../classarm__compute_1_1graph_1_1_edge.xhtml#ad509007a40c162c72383ed29620e25ca',1,'arm_compute::graph::Edge::Edge()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a0ea47db036b1c140af002ee1494dcb6f',1,'arm_compute::graph::Graph::edge(EdgeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a93f40299c6399505192f5300cda1997c',1,'arm_compute::graph::Graph::edge(EdgeID id)']]],
+  ['edge',['edge',['../classarm__compute_1_1graph_1_1_graph.xhtml#a0ea47db036b1c140af002ee1494dcb6f',1,'arm_compute::graph::Graph::edge(EdgeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a93f40299c6399505192f5300cda1997c',1,'arm_compute::graph::Graph::edge(EdgeID id)'],['../classarm__compute_1_1graph_1_1_edge.xhtml#ad509007a40c162c72383ed29620e25ca',1,'arm_compute::graph::Edge::Edge()']]],
   ['edges',['edges',['../classarm__compute_1_1graph_1_1_graph.xhtml#a1ee4bc06b30fd45b1de82e716fb11bd5',1,'arm_compute::graph::Graph']]],
   ['eglbindapi',['eglBindAPI',['../_open_g_l_e_s_8cpp.xhtml#a0f290b0be95432b64e73ead723a947b7',1,'OpenGLES.cpp']]],
   ['eglchooseconfig',['eglChooseConfig',['../_open_g_l_e_s_8cpp.xhtml#a89a92c28d6d90e4c0fd1de37f9680a79',1,'OpenGLES.cpp']]],
@@ -15,13 +15,14 @@
   ['eglterminate',['eglTerminate',['../_open_g_l_e_s_8cpp.xhtml#a184f520190322b632ca710695195746a',1,'OpenGLES.cpp']]],
   ['element_5fsize',['element_size',['../classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103',1,'arm_compute::ITensorInfo::element_size()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::SubTensorInfo::element_size()'],['../classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::TensorInfo::element_size()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::CLAccessor::element_size()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::GCAccessor::element_size()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#aa459796b5489eca8a9160cb5dcf1a103',1,'arm_compute::test::IAccessor::element_size()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::Accessor::element_size()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23',1,'arm_compute::test::SimpleTensor::element_size()']]],
   ['element_5fsize_5ffrom_5fdata_5ftype',['element_size_from_data_type',['../namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0',1,'arm_compute']]],
+  ['elementwise_5funary',['elementwise_unary',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12e69cba1811ddfd5e8f113a2019ff49',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; T &gt; &amp;src, ElementWiseUnary op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a66fd17630511434727406aa3b82d5dcc',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; float &gt; &amp;src, ElementWiseUnary op)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d3887ce8f104f8438566716431f1f11',1,'arm_compute::test::validation::reference::elementwise_unary(const SimpleTensor&lt; half &gt; &amp;src, ElementWiseUnary op)']]],
   ['eltwise_5foperation',['eltwise_operation',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#acda6687f669fe87581d7bff8fcd82ebc',1,'arm_compute::graph::EltwiseLayerNode']]],
   ['eltwiselayer',['EltwiseLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_eltwise_layer.xhtml#a9749ff9a2d545bc30f9d432cd20be48d',1,'arm_compute::graph::frontend::EltwiseLayer']]],
   ['eltwiselayernode',['EltwiseLayerNode',['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a585b716ff7a4298f47df38792355485a',1,'arm_compute::graph::EltwiseLayerNode']]],
   ['empty',['empty',['../structarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc',1,'arm_compute::QuantizationInfo::empty()'],['../structarm__compute_1_1_border_size.xhtml#afaafdfc441c2433c70959e3dfe46fd97',1,'arm_compute::BorderSize::empty()']]],
   ['enabled',['enabled',['../classarm__compute_1_1_activation_layer_info.xhtml#af5a8385102f8f8dd6c5957eac08b04c2',1,'arm_compute::ActivationLayerInfo']]],
   ['end',['end',['../classarm__compute_1_1_dimensions.xhtml#ac684b52c6197edff9cccb3abd1e41f59',1,'arm_compute::Dimensions::end()'],['../classarm__compute_1_1_dimensions.xhtml#abfb712208ab2802329e9b75c0c61469f',1,'arm_compute::Dimensions::end() const'],['../structarm__compute_1_1_valid_region.xhtml#a1cb8fae6eb760594815b62ec5af5eca2',1,'arm_compute::ValidRegion::end()'],['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a81a5ce41e9f683c2976471668383fc39',1,'arm_compute::utils::iterable::reverse_iterable::end()'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e',1,'arm_compute::Window::Dimension::end()']]],
-  ['end_5flifetime',['end_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a30dd4a5b74434c0720847dcac86cf324',1,'arm_compute::ILifetimeManager::end_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#af1e7074ef17ce8e639b4dbd81f127d3d',1,'arm_compute::ISimpleLifetimeManager::end_lifetime()']]],
+  ['end_5flifetime',['end_lifetime',['../classarm__compute_1_1_i_lifetime_manager.xhtml#a729cd4a1c76734ae24ca9175cae28b5e',1,'arm_compute::ILifetimeManager::end_lifetime()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a5eb1cd0eb1bd44c695f7e3a8b65ba000',1,'arm_compute::ISimpleLifetimeManager::end_lifetime()']]],
   ['end_5fposition',['end_position',['../classarm__compute_1_1_window_iterator.xhtml#a3c7e52e385517731c6418cae7bacddc1',1,'arm_compute::WindowIterator']]],
   ['ends',['ends',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a836dbfcb541878d045cac29f9b35d5cb',1,'arm_compute::graph::SliceLayerNode']]],
   ['endswith',['endswith',['../namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17',1,'arm_compute::utility']]],
@@ -63,17 +64,21 @@
   ['error_5fon_5funsupported_5fint64_5fbase_5fatomics',['error_on_unsupported_int64_base_atomics',['../namespacearm__compute.xhtml#a5c8dc3902d1a2de5b20aa249fb483eea',1,'arm_compute']]],
   ['error_5fon_5fwindow_5fdimensions_5fgte',['error_on_window_dimensions_gte',['../namespacearm__compute.xhtml#a7d65985a30fc1229047b7db32caaab43',1,'arm_compute']]],
   ['error_5fon_5fwindow_5fnot_5fcollapsable_5fat_5fdimension',['error_on_window_not_collapsable_at_dimension',['../namespacearm__compute.xhtml#a4f63a617a4897663b386ba5e1f5cb675',1,'arm_compute']]],
+  ['eta',['eta',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a206472366fc0981d36701fe46679fd8f',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['exclude_5fpadding',['exclude_padding',['../classarm__compute_1_1_pooling_layer_info.xhtml#a2a5bf4ca18389e1f61f5fac9044a2c85',1,'arm_compute::PoolingLayerInfo']]],
-  ['execute',['execute',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmInterleaved::execute()'],['../classarm__gemm_1_1_gemm_native.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemmNative::execute()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemvBatched::execute()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvNativeTransposed::execute()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvPretransposed::execute()']]],
+  ['execute',['execute',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmHybrid::execute()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemmInterleaved::execute()'],['../classarm__gemm_1_1_gemm_native.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemmNative::execute()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a0b21ce5febc3f7eed9c7b37c0b9a3560',1,'arm_gemm::GemvBatched::execute()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvNativeTransposed::execute()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a514bdec015ee0ca587b6444e9defc190',1,'arm_gemm::GemvPretransposed::execute()']]],
   ['execute_5fgraph',['execute_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a4e179588488fda9085167dd70c29ff70',1,'arm_compute::graph::GraphManager']]],
   ['execute_5ftask',['execute_task',['../namespacearm__compute_1_1graph.xhtml#ad9e7501e803a9892419f72540671233f',1,'arm_compute::graph']]],
   ['execute_5fwindow_5floop',['execute_window_loop',['../namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee',1,'arm_compute']]],
+  ['executiontask',['ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#aa79ba1bb93be484a7022b836eafabd88',1,'arm_compute::graph::ExecutionTask::ExecutionTask(std::unique_ptr&lt; arm_compute::IFunction &gt; &amp;&amp;f, INode *n)'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#afb25be12a4800fe31bf8bad6807cb09a',1,'arm_compute::graph::ExecutionTask::ExecutionTask(const ExecutionTask &amp;)=delete'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#aa7d6290d4ca3fe3eb67c41f5ebc9fc3e',1,'arm_compute::graph::ExecutionTask::ExecutionTask(ExecutionTask &amp;&amp;) noexcept=default']]],
   ['exp_5fbarrel_5fshifter16',['exp_barrel_shifter16',['../helpers__asymm_8h.xhtml#a4bde4cd395697b5d37af5116773f16ed',1,'helpers_asymm.h']]],
   ['exp_5fbarrel_5fshifter2',['exp_barrel_shifter2',['../helpers__asymm_8h.xhtml#ad12110cc5f3099fa90b631e7b05772a0',1,'helpers_asymm.h']]],
   ['exp_5fbarrel_5fshifter4',['exp_barrel_shifter4',['../helpers__asymm_8h.xhtml#a521e3ded9b6ca69692e9415ef9b4cee1',1,'helpers_asymm.h']]],
   ['exp_5fbarrel_5fshifter8',['exp_barrel_shifter8',['../helpers__asymm_8h.xhtml#a936aed524c644efcf20b28877e3a0f3f',1,'helpers_asymm.h']]],
   ['extend_5fpadding',['extend_padding',['../classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66',1,'arm_compute::ITensorInfo::extend_padding()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc',1,'arm_compute::SubTensorInfo::extend_padding()'],['../classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc',1,'arm_compute::TensorInfo::extend_padding()']]],
   ['extract_5faccessor',['extract_accessor',['../classarm__compute_1_1graph_1_1_tensor.xhtml#a0cec440e0579d01d55a4e194f1c7178c',1,'arm_compute::graph::Tensor']]],
+  ['extract_5fbounding_5fboxes_5ffrom_5ftensor',['extract_bounding_boxes_from_tensor',['../namespacearm__compute.xhtml#a5196b5248c3c12035174abb6c85ba093',1,'arm_compute']]],
+  ['extract_5fscores_5ffrom_5ftensor',['extract_scores_from_tensor',['../namespacearm__compute.xhtml#a0ed6c4009303a6e319eb9e0519124b00',1,'arm_compute']]],
   ['extract_5fshape',['extract_shape',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#acb3f0c947411cfe1d8c5f67af2cad851',1,'arm_compute::misc::shape_calculator::extract_shape(T *data)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#af79493c6c07a3eb2b3a27712221b66b8',1,'arm_compute::misc::shape_calculator::extract_shape(ITensorInfo *data)'],['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ae7f0e5491e0f43e371f7db047a03dd4c',1,'arm_compute::misc::shape_calculator::extract_shape(const TensorShape *data)']]],
   ['extract_5fsubregion',['extract_subregion',['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a000cbaa76e2cb0ae0aeee0b95b6470b7',1,'arm_compute::ICLMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_g_c_buffer_memory_region.xhtml#a0e4a97cc88986a71da44362a6e4adcf6',1,'arm_compute::GCBufferMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_i_memory_region.xhtml#ae883a66f44b3d41635c4a75cab7dacfb',1,'arm_compute::IMemoryRegion::extract_subregion()'],['../classarm__compute_1_1_memory_region.xhtml#aa09a1dba8208c55ec9dd21ce4d4359a5',1,'arm_compute::MemoryRegion::extract_subregion()']]]
 ];
diff --git a/documentation/search/functions_5.html b/documentation/search/functions_5.html
index 0314918..cfe6b17 100644
--- a/documentation/search/functions_5.html
+++ b/documentation/search/functions_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_5.js b/documentation/search/functions_5.js
index 29c0b60..e1cf4cc 100644
--- a/documentation/search/functions_5.js
+++ b/documentation/search/functions_5.js
@@ -12,6 +12,7 @@
   ['fill',['fill',['../classarm__compute_1_1test_1_1_assets_library.xhtml#ac186c860429337d470bccc138ed84423',1,'arm_compute::test::AssetsLibrary::fill(T &amp;&amp;tensor, D &amp;&amp;distribution, std::random_device::result_type seed_offset) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a72642223d82ac5d32582d66ba180fdfc',1,'arm_compute::test::AssetsLibrary::fill(RawTensor &amp;raw, D &amp;&amp;distribution, std::random_device::result_type seed_offset) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#afcd66ee0f0a1ad59ad21a4d548f83c21',1,'arm_compute::test::AssetsLibrary::fill(T &amp;&amp;tensor, const std::string &amp;name, Format format) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aef60e1a720c63a3dfee2077bca53c998',1,'arm_compute::test::AssetsLibrary::fill(RawTensor &amp;raw, const std::string &amp;name, Format format) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aac6c6e6cbcb3d9e0330282f29a6a5e02',1,'arm_compute::test::AssetsLibrary::fill(T &amp;&amp;tensor, const std::string &amp;name, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a75fce1141ee0c9b2d40806d8a65bcabf',1,'arm_compute::test::AssetsLibrary::fill(RawTensor &amp;raw, const std::string &amp;name, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ab8fd0d2de26c842de05a6d15b28b518a',1,'arm_compute::test::AssetsLibrary::fill(T &amp;&amp;tensor, const std::string &amp;name, Format format, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a81b1ba22b8f48b5a80f38e7dca0efc66',1,'arm_compute::test::AssetsLibrary::fill(RawTensor &amp;raw, const std::string &amp;name, Format format, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a05e6db8fe58b0d75a552c226477a344e',1,'arm_compute::test::AssetsLibrary::fill(T &amp;&amp;tensor, RawTensor raw) const']]],
   ['fill_5farray',['fill_array',['../namespacearm__compute_1_1test.xhtml#ac35e7a1ad467f5fe8620cbbc5793d53b',1,'arm_compute::test']]],
   ['fill_5fborders_5fwith_5fgarbage',['fill_borders_with_garbage',['../classarm__compute_1_1test_1_1_assets_library.xhtml#ae139c07ceb794ec059efb92aa4c6fd9d',1,'arm_compute::test::AssetsLibrary']]],
+  ['fill_5fboxes',['fill_boxes',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a6327330393eee13d12234267ab5d19d4',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5fimage',['fill_image',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402',1,'arm_compute::utils::IImageLoader']]],
   ['fill_5fimage_5fborders_5fconstant',['fill_image_borders_constant',['../fill__border_8cl.xhtml#a940413b968167dc2d1a84810d5c99c02',1,'fill_border.cl']]],
   ['fill_5fimage_5fborders_5freplicate',['fill_image_borders_replicate',['../fill__border_8cl.xhtml#af6cd84a2130d14f272c407ce3f01e5ec',1,'fill_border.cl']]],
@@ -22,38 +23,41 @@
   ['fill_5frandom_5ftensor',['fill_random_tensor',['../namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7',1,'arm_compute::utils']]],
   ['fill_5ftensor',['fill_tensor',['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d',1,'arm_compute::utils::NPYLoader']]],
   ['fill_5ftensor_5funiform',['fill_tensor_uniform',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a6bdf347bae60f8b5b4303776cfc48d68',1,'arm_compute::test::AssetsLibrary::fill_tensor_uniform(T &amp;&amp;tensor, std::random_device::result_type seed_offset) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ab419bdd4d1b71e56517cbd99428e3740',1,'arm_compute::test::AssetsLibrary::fill_tensor_uniform(T &amp;&amp;tensor, std::random_device::result_type seed_offset, D low, D high) const']]],
+  ['fill_5ftensor_5funiform_5franged',['fill_tensor_uniform_ranged',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a7fd005cb98921bb25824629d659ea79d',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5ftensor_5fvalue',['fill_tensor_value',['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa13fcfba9d7f0433db83255bd1f0638a',1,'arm_compute::test::AssetsLibrary']]],
   ['fill_5ftensors',['fill_tensors',['../namespacearm__compute_1_1test.xhtml#a3594bac8da97eb819a7bf7e02d642ace',1,'arm_compute::test']]],
   ['fill_5fwarp_5fmatrix',['fill_warp_matrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a91f93e72d55115ffd5c91bf88c94223f',1,'arm_compute::test::validation']]],
   ['finalize',['finalize',['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4fe26fc31f2479b7c24c6e3640127246',1,'arm_compute::graph::frontend::Stream::finalize()'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a32d626626eee0bc4ade146973f6abb1c',1,'arm_compute::graph::GraphContext::finalize()'],['../optical__flow__pyramid__lk_8cl.xhtml#a0beafe52e6ef0247d036f06bd6da622a',1,'finalize():&#160;optical_flow_pyramid_lk.cl']]],
   ['finalize_5fgraph',['finalize_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#afb8c302dc3cdebfe987751793a9aa4b5',1,'arm_compute::graph::GraphManager']]],
-  ['finalize_5fmemory',['finalize_memory',['../classarm__compute_1_1_memory_group_base.xhtml#a752ae3038e3553906589caf01c418a7b',1,'arm_compute::MemoryGroupBase']]],
+  ['finalize_5fmemory',['finalize_memory',['../classarm__compute_1_1_memory_group_base.xhtml#a2e02f3a65b77943a43daed6f90970abf',1,'arm_compute::MemoryGroupBase']]],
   ['finalize_5fquantization',['finalize_quantization',['../namespacearm__compute.xhtml#a695a8105065167f7e4596d31f23a3573',1,'arm_compute::finalize_quantization(int32x4x4_t &amp;in_s32, int result_fixedpoint_multiplier, int32_t result_shift, int32x4_t result_offset_after_shift_s32, uint8x16_t min_u8, uint8x16_t max_u8)'],['../namespacearm__compute.xhtml#aff311815b306f7885265c103dc0344b9',1,'arm_compute::finalize_quantization(int32x4_t in_s32, int result_fixedpoint_multiplier, int32_t result_shift, int32x4_t result_offset_after_shift_s32, uint8_t min_u8, uint8_t max_u8)']]],
   ['find',['find',['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98',1,'arm_compute::test::TensorCache::find(std::tuple&lt; const std::string &amp;, Format &gt; key)'],['../classarm__compute_1_1test_1_1_tensor_cache.xhtml#a77d062d1fc4b239c215c4534deee8a2f',1,'arm_compute::test::TensorCache::find(std::tuple&lt; const std::string &amp;, Format, Channel &gt; key)']]],
   ['find_5fbackend',['find_backend',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a62aabe90a748206d11150f01899d4bce',1,'arm_compute::graph::backends::BackendRegistry']]],
-  ['find_5fimplementation',['find_implementation',['../namespacearm__gemm.xhtml#a5cca9d5e44ff1724a666ac0a17ea2250',1,'arm_gemm']]],
+  ['find_5fimplementation',['find_implementation',['../namespacearm__gemm.xhtml#a6ec8bb2afab6de2518ca5649cdf9182a',1,'arm_gemm']]],
   ['first_5felement',['first_element',['../classarm__compute_1_1_tensor_accessor.xhtml#ad27053e8c4c5c039419915e9abdf9f63',1,'arm_compute::TensorAccessor']]],
   ['first_5fslice_5fwindow_5f1d',['first_slice_window_1D',['../classarm__compute_1_1_window.xhtml#a54486ab629d17bf891146deb4b616717',1,'arm_compute::Window']]],
   ['first_5fslice_5fwindow_5f2d',['first_slice_window_2D',['../classarm__compute_1_1_window.xhtml#a016fdd5b1c05ce7d06088891a0d36bff',1,'arm_compute::Window']]],
   ['first_5fslice_5fwindow_5f3d',['first_slice_window_3D',['../classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40',1,'arm_compute::Window']]],
   ['first_5fslice_5fwindow_5f4d',['first_slice_window_4D',['../classarm__compute_1_1_window.xhtml#a14bbbcfa75deb1a56c83406bfc37eec2',1,'arm_compute::Window']]],
-  ['fixture_5fdata_5ftest_5fcase',['FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1f8bdc666967b22610ba7524cc85612',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28b7052dc7ccce757d1136d18b7efbb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57567d8110f0996b4af4589bb360ca46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ef43942b3e9e81a2c9c7336e293f7f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84fc34f7654197b4595237fb6c3c6310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a592f13c2f473aa13a232c5ca65d3ff49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd70818dddee4d8f421708c9070763b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0cd1232470b4cf0b398db49afdca8a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2506557047fc567afe36237082e85d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc16f69c216561ccfe575ec7f7421171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1593ca319ee1b25c2aa6f7b30c2c43b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a582b3384be5f8e5bb98533dd55c1d9d4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1788ed44fd56453e4836c6a9ac42619b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b033615b2b25008029728d82da1059d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84071decebcb90696f1be0c97f74cc42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39fb33d73c7cc13659cb7c5bcf2c6f1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6af84e6aff8d1f3031a686c7b01071a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70e9a434b0d4e3e45a1c08a971125a31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c0a55a6d5580f082ada392c45d0f07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09e005cb8e52c5e45900c067da73db7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa52346dd7e6765611a14aa7c292c21fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ee90e04dba9c7609a2d40e17ad5bbe1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5684fd635df10ab5b0ebc921a825128b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1554ebfd23600ecc0ed289f1dde62b16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e49d617bdc53b4af911e4998b997273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e995db1d62e98f9de4405b5213c3f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a041b3d048a8053e3979aeee0aa4fc29a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6abac1664b9069e28eb176d657e85ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13e120206c2eeafb681ccf50b441cce9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af68e6bace49e5617947d2768bf4e40aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb34560764243733ab54a07dd85ff96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticSubtractionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f198a134cbb763cf51a59ac77386bf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70180e205f366e446b72ea5439a9284c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27122301a7bb1d74f714ecc6e5f9b2c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad29b2f30f87fb0e854a69e60c932eed5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5385542f37f4595576def4edb45a2ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99d6a74959ee89d87ba28d9d2035a2c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab6407ed9d1edad63ff9aa6fda65517',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11df762107f8b7a64306df64216e182b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a157af9e1f21df8785893e442409a4435',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95fc7b63be2ff6f3fb3dbed72df00114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc070dfe82e8e6f33802197244d1c194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0d034ace5a8afb6e6b452837d6b8a7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4874b25434673c0ad0e496a8a81ea184',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34a98929e295013839f86f1a4beb59a1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32f89330c389d8f44c2a92cabce049ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a74384a2e1442b933aab92cdb476649',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad45bd0ada19a202ff15e9a8f9feb5a75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e5550d35a680258a313e72e44b3203d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ba96a9c1a1a700ccc866ca1e390f49e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a523db289603fee1529173c0d6ee26a51',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b9287376c6bf564fd512abb5a2d25e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d18b645ac6d13b3f3329327477b520c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e4892dabd25b721024f9d6794c543b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780c5932c4ac9f3ac7217a639de7293e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fe1d277b76457e0677aa4e3d805407b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ef73d9e890fd9db081f1ea48f79618',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5fe43cec1fb6be35fb3843967dc00b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add095588c16b6f8987abcea2465028be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ea11644b7100b02b97f2d7ee3cfc49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34c0a5008da4e0be04dca251dda5e5cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b5dcd386c7d06894b0e1fbc7a361834',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08dcc75ee997c823616d2bc1f24dcf6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3ce8fc138e35ce1bccb618d72391c2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9aa00ed562f55c86bc3eccec5071861',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a453ff1f233f3ea0903aa9ca114532e23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e94e0ad899df2722983d6bf14fad939',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b7b313c38e443323a22aa3b71844cd7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ec14cb26a1f3dbfbc35064f1c560bdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58bfa6eef9b6b96ba700945e17afe6c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaa36fbbc0ff89a59ab4457e78cdb775',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69a0491cae54dcb0e5c71044822f7f32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1e48a05b1bd7344b2606f4019bed6a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aafb9dc8b66a877be8a41dfa6a28f1271',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade160e12e71637b74582849fc099c35e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c617b3ec7e1494b6cdad8047b5b3273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8521586924db37099a30c1b87d3eb934',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5657f1d49255f5bd40c7c2b2c62dae1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbd6aec760029a5b72362a032a5b2ea3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7ec2c93af2555cd1aaa09020b004da0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94c44cd7181d6c712a32b4cd57009e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512442267dbe39497a8fa7b4d0bc6ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6351d31c5b83e6e4a22866515233d45',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81dc8e6b7df255fcbda49e292e8f27fb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affd61fcc11e759ec92d62e5e205cc18e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab297f38ccfe37cf1d92f119641d782fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23935728823d9415a2d9c5f24186f611',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a66a66ab8abd864039725ea83c5bec71d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ce606c050836a696fffc84ac783ec2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04652f5f93318a8d732a4c65e7f73701',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89cf1b7355fa156211a69914fdedd70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76148aaa213b4936b344a0ba47138099',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a935223f048d628afc725a4c4bfbd41c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ae2d450c7a17f8df4a0acc9a9cdfd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69dc3241bc8b74b7ec8a9c99912078a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11f6a4e5ec8ac8c89a972e6c886d3266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5e082eaa2f98726e5c2be84063088f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7476e05ad551a83a61ea84aa13eb1f4b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78a48e7613208d076df3ecbf638e6f12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7497106f822bc0bde89ce861589e48dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c1cbaddf69dd6c906f01cd44428086f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cdacdac551f7f6196561a94e03585ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57daaf7258b5943683e69db26fe30080',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c54582b096a853113a920d588537b05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff62bc529c02d1019e7e3e259703ab1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab95b8769af4e83b6505a7cd84d2146a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e458b9923b5741a3474cf5a7ccbdc2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e3f3c7b28e3ee77163ffa512388bcf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1e65935ec05f96da2a57444ddadea7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9813370725100b6c979d064226fca164',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d4a7e956e79d5c14dce76fadd1f26de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aece1feec6647708a0c306b1bea9664a1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88403132c633bbc0256ed08143a47c66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fec374209cb4347ba2f075dbb0acf84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac97a3cdfd92937eebac9645f85fa9c22',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14ee03ceac8612b8dc652deb457f5804',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8b34e56667988d6363ee040035af48e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ababc72e29897ca0c607ee18f1de3a4d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc60209ef18a33c51e61b311575e50d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ebdf4b9b24340aafc62d8999268c1cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cfb6db60ca5e124549676c07bab7e1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acfc27249cdeca350f2083185ebaa4424',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd368e097314e8e8f395386062735f95',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53c9043f8f4e9737a0b46686f4531040',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793bed2d2b9040ee71b9f6e766b9e723',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1a09d783eb40b0b47189bfbada5ea57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05035ea755e01026e33659c4d204049f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6249dd6f4f0ca004ea1e7f1a79a8a0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bde5216c166000b4d51e1ccdd72aa15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a981e51ea5eef1d7f37cfc8460e777a8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b572916009a6ed4ab16ec45c2ac5a2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee4b75637afcb1b74911dc4d0fec8b63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf7c5841f5ab8690f1c0bc66bfdaa371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a897b1494f63be9b8d890b1e1943b5fdb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d7b37339681bb0ba073d20e297986f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752fed78c2ff0f507c14e8195263b447',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbac43368bb3ab56bfa71c1426a8c15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace80eb4c481c2173ff5265882c707c1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16e3727b0ac636036f5b51e94e46be46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6071fa03181f2d8213065ae83b644b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54958aecc1789140212d82ed3106f243',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8e03673811ac00ff05078132f8b8024',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5510434e7af2e8da7781a204a79d761e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af671a00f382f82f4b55582227b13f983',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53aef817752b52ca68a92f4b3298ae3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25770f4cff90b6b340470bdec1522105',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99c78532933b39cdec682e70e183e3bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0ce0c5b4288b88872707038d7e8ac5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac25138e80d46998e7e77d796f3917cd5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1ee858752ab71a55049279a45b288ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a990dfa00dad4bac41cea70f55c50e045',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a25062f28645ac48971b8d3fd9d0a8db9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5594a9e3b431664463f1f6f4f2167c6f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09b82915d2a2b1f85d3eabd3bab52aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa807069810d53263e51a2566c202a218',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a030b1f340de3f883ead57b20edc2fda9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad44a1ec84e753851e70bd9dade03b95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01fd04e3bcea1d0d2748ed4bddbe4b91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToF32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF16toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af02d8c264185e95b8392f5f36b260b76',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToF32Fixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF16toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3168f72a896da924674547ce4f5dfc35',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToF16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toF16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a089508c6f2f7b15d4bf92a9d8f04c1f4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToF16Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toF16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc5c48fd76f7913ed9cd41aef176c4da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec6a1b635c7b96d8b8ec699fa76b8ae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f9864c76c954f48cdcf93baa00bdbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72c21cb2725d2206de5be40ab1656298',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd80019152b001c4a58f04eadf432d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add415c4eaa7a477fe835d6afcdeef755',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad629adf78916c8999640a7f7b6dd365a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7eb22cc3442331805fa2069bf473745',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a041522f20f96411feee284251bc5e107',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce79b439798535e1f39251bbdc00539',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e0670871c84d5d6d5bc29706d834e61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b52364e59e1599f023fb507323940d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dff0f2ffcf97659c3ce51dcc9763380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3c327fd39901fa562ee5b04325091f6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad92ec504388b2f3f1335dd16117aabd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7dc0804de8b0e4a4e0d79a6e3b53465',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0410ce9ce1318beb696eb5529dce4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1cd7335dec744f6c2c62908acb813c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a792e33acb004d8c578ca4ee5a954bbda',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7931ccbaa02a6cd5f19e41ea1fcf8f37',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f68171a06fa54b933f4650fa88615b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada56814c0f5d6f750d7fd2de733e4ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa17523cbb38ff14beabc7dff53ef0d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a98ace6588c7a2dd54bb8008309a70c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e8655d7294909daeb54ae2dc540b6fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab165b0693b29b10a521b2889d311e0ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ef64a9d6936c7fc8a1692d114f29e26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61f5a8c1a5a41e08e9ca5aaf68c7c516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 0) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af07bf1462d49ac540aafd58778a5bd60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2a7c0558edadd58927e2ae718b54c88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74845662fa02c82a23a8228ef7987e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ac3145c64e3da8c03629a16f7cde2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dfc00fec815ec029c78daaa33fc69f9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6c5f3f1be76e0562caaccd39c16ee8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9df7caee77100c13fe1c5cc71abbce8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69bb2d47d4c0bcf839efcc80e9b2f57c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0757217f27a2131fa99747426a2675a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc2b95ba11edcf0fde3a5d9241b770c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29119abd34cb6af8ad52a9cc9dc4380b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6331f78a2f3e946535a3fa73c46eaca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c7ada491af83e6b0263e057cbfd8d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cbdb07675cbd1605aa8d8de0046bf05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdd086d8a6a088acde2e91a617b8fccb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc52775e77fa1060559ec10dee0b665e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFloorFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a6c09a72db979494ed1b4b62db649cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7aa623963a6e535e756f72422e5e15b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f8f584ea77fa1a3cb1ec914f8d566ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a007daaa5561c3e01626aafd3b393fd00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bba67716790382dcd066dfd169b8008',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99834f03a49c7e88285d8ab16ce8ed17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2d618db6f656b145c4832b2dbad83bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c456c3072cd35ccbffa0e33c3707bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0149511565479a9d67455a4e8bd5f186',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9371d17ded1274b9670542c1edd0d669',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e3f60b8736377c40480b346030d482f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc91af1dbd0e33856756a7e4446f76b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a360f00592f57957fba89788a3539267a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e4eec4090b7441d54b42c901689144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af112106bb5915291340b1df7aa829efa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af22bab8701f16b33b342f7a8cbaad975',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1af823ab0a5de9d7ecdf4ac3b830fd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0210fb352b7d0b459b8fa06cd0f72d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74b69b379300aa8228e74445e18faba4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74a9c45574fb389cce1e0c6ed54969ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68c34d9ad7090652085337d405a729e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd76515b3b012e52190d72531537c40',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a600a867df0be522ec459f007eebd08ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4151966085ea8ef844bcd05a660c074e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af65a4c8b34633767deec60ae44632f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c18ae5dcf4f5ac59df56b2188f80a4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69e0db9d6ae5e9bcaf3ab8265846329e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ca34486637e8af800e3454281c4b38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6e3bbf30e292da94aa475bf94b8aa77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6c944dc360d1efc97ebd1171575d8e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a915053eca2fe8b7193255831e6801e79',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5c9d0ee14584d7570f9eb4428aec3ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb31d286f720df7c3d1ef8ab9a169e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab78cdd5e2ca45d8bb91555e78a39df3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af33e1ed6a2fe79e832d6ec28c6f480ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a548514ebc80a8a28cb9217b41a6af628',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36ab3c767fc4ba506f02a432042f3640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab52f21be8f21888edc0d7429ed9103',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680e0cc53dee00a898658809ba9d1ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a9a98550d09ef94d41895b955248b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae53a98011a44c19f1702d68dfc495c5e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18bd77af6e29d7a5dbad7fb330adccc3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88a6fedf61d9c77a3d31d39e0589241e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a07e134c036b2a1d1c6b40b2feed6bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cffa0e3241e209bd45555ec6ab671b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ca0e7f050a0ca835ab43f159789ed02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a510f1f6910ee702cb3238f8518e09667',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad213615f12a2cce2b5811f01b31973b5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af21d987bb26f92f874adfc8dff100fa8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58407d5257bafcaab6f94f1657bcb502',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97c70188841b1214510b684aaea3c033',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae92888bc064d07459081a9c624d797db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcf6e255d25bd3b6dc5cc3821f7dbc0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ca21b2fe5a67cffca8cdd37ae7c1b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac217d5592ae8fbcfc904f1a2a7085893',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::GroupedIm2ColLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad50aff7a15be6a8a3c4d535a260ba8e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82a7dea7dcfa3ac6f421a415399efad7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04af0f9ee366f68a8e53d5e7128a3930',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a247c43fc9a197537426bfdece4a56bac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5b7faf9b9ac20b1983a7a2ed345a8d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d0cb440f6fbbf4443b97ed75fdfcd63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa031ea4ca027b5c2aa3e9b7998d71676',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4a457a9020dcc99f3ad35eb57abee4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb36a1da15d6b541eadbfebcc79a2b81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17e4b2f5f717bcca193e2dd039fd4e4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c7ee60588d3ce2815b4d98662d37ccd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad345e910d6e5d48973c85638d3020c09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5e33c426de1ff657a4aab507236caf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9858e155935f46f989759828d76696a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed31c4dd30c5b31a18aa6bec7fb4b0cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07b92ba1fb6599236c1accbde21a0f75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e07f795abdc267b579e8768d134923c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2391398d95aaadc49fddc3c77d189cf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1337d183c5d8f5e15eb53ea63bf78483',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac24f5bca01f85d0aaff7793ae4ff065b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79273ca792f49600c6485cfa29c27f36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33c7ad45dd1317eb013409ef710daeeb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac39c31f152b46c0d02b6eb4fe4afa194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473c70ef41d7956e3c5545374c7fe97d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a112374c662e4c050d9dbf1691b1d9e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e35666744a3808363928fe7858b807',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b48d3fd09c7bc70b05938ebed5cddb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a70e0ed0d988434feaadf101d04162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a071f2f05a13c504565822a04017eccbe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad777f611870cbbac4c36cd698da288b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b1b15f02403d3152e35979788c3945',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06ff73d34023d56ed7e134af369b1457',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898b6d95a2e1b7c8a3e835433f7637ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a4b11f150ff9cb88cccfb65efdbf194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0232978655898cb0524afa669b59ea8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaa84884069e0d1dc12a9386f1e9df07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f559314ee94f7e19cb613e31aa920ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3f4ab4a5c5018ffd9d99cf7b369a61a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64c3d1d676bc6c2ba622e62a362ed055',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3e3208a529c7485121fe2f7e2a6c3a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75157098594d37e9b364b91187786109',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaf1b08a284a63f6380fd3adef0708c3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e5c833baff7a74db52cb3327c497bc0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad772de9ee34af695455918286a852b52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18074dfc1bbdab92f04c1b237a91e71b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a951f0fc437f1981a9df35290872df0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51106824477557cde3c3693d611722ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationToF16Fixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F16)), framework::dataset::make(&quot;DataType2&quot;, DataType::F16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57e64692477752bc5e2c635dadace705',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Scale&quot;, { 1.f, 2.f })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_EVEN)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aceb5db1fb93a3b5b111e749e3e923da8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbecfa884915481c6e78af1813b77e14',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8556e080e0cef15d1d518ccb8399c95e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0e2979c6dbf448095b2d834e4513e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d287582bbdeb32c59c59ac6c59695bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa6816392837c2e8cfeb00b772fc506',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52ba2ce7f6b828eb266ae3e14cc32f38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d1de24b8fe15809b53da096795e8f80',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce944e25ef633b5a555baf93aa5fd69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa271b03444d55bf0cb2f027069e936a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84656baf56e89b1a66de58b3a8f93626',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26dd74365d166bfb75b049d18cfe10d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9afd6b6b6136857091609425c1056ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92d30b2dcef4b22f72d99ab8c4381bee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc073bfd3c9503cf9ab6c06706b1cbd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade5e9a81e517662d3aacccce48d03bc6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea2e698370c2851e88fbd5234fd3a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10964e2e27c0e5219e7cb642f90bcc1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e49a959640a2e5ffa6d6bba0a7bbfec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a7fe0aab7dc2a416556bf6b29154a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35173965ebab7f82fe2b30a1f1150bfb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11be7f70e411b80709403919b692001d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e8788d498826ee2823a0081f9565d97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd9642e1093be3211ddf14279ce20310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70c4f56aa4bb535d8966f36469115760',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc2cc2a00771fad6d48d9da0923e02c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ac8d1c816193ec9da36f66c843d2bf9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::QASYMM8 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae11708df5e23f68be65fd28225e6c996',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac13ab12978261e6bea1ce66e0a70284e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae087253105fff31a5106607625e47a39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fab309fd451e52928163a229f9f13ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, CLROIAlignLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallROIAlignLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6374102eefd1382b1849b5c56078a866',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, CLROIAlignLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(datasets::SmallROIAlignLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8947bade73c63590f6bf8e0a61bf0aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9df63907f67cd14c840ca16213a549b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a734ce787f956fe8d8c02c7fea3735e4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bb8acc845c6245e790bd9d758b7df3d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e2b047a93859bf7aede989abcf9a88c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99693a71251f6c35fb7037039f155967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae760d030f100b4997e786fded735db3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87320ee1ea18b1d78eac123f14188ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7465e2e519c84f4dd3604e4b4b0e419',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab927d32efe8faa85f8da762a8f49d16e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4d6c92f58739df7c9f836dac62bb1e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc705d729ccf5e37de224e69505b09f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83e7a9d70231c280d7342e0605aac70d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad648c35287791b9d3994ba86017a8dd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bf9c50e3c77719c09ab55155df49429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aadb9b2fc4ca00463025025a73eaa32c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807cc206fadd82f789acf0fe7437bfa6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1472b5b46961cfef96fe797e496050a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9280a618cce835ac1ec5f08e5677d32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0193468b2c7b02aa1d67b192ef8c220',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87a325d6a85b7cd87b44c7c3dcdbcbce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4df07fed159b3127a6e575a48d05fbe9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c5e00ed6dea6c8723864533ca69eaff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addca159ba95aded4c80f714cfbc0ec05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e765e0db83c0d047b82e547c78e99b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1773da1ec7f37513cda8c31fa6f2f01',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0619901188697a1c53e3e1c2d3ee749e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41b7108b171c01613fd15e876ed1a398',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c1c7902b3272cae0ab6cf1a85f9a63a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03412a3beab8dc27e7405b355f122cf6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1547a6502458340a1d0e7be2e0a35e2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa246e74b5e00e1f5d1d340c0f10b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8fb14e5a8fbe7fe14bff18579fa11fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48da7c37c06cd54b77ecb022a3aa04b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3cbddfe65d4cf806d066eb3a38248cdf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4738de69048aebf8954d231f66a4d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b760c0c74854b6cb612f1312666e72f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSplitFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23c204d95c55898b10d64cba4e591e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35b909896da99858085753417fae8ca4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18996148e9556f6d0fc055a0cb1278a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad34a264e3969b40641fb964dae86b518',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2d04e51e7e0c14c5717bff4bee04538',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af57e9ad191aa88fb9ba5c3c66b86aff6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae14bf7257197c9ef4a3a246c8253d207',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbe8b9b938f5f425c68747e8b1abe87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9963770ee6d49fd29c6410bb8e2a7940',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0b7499904f2b7366e73d668d76eef1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad17f62d331397f138d8982a6b6d7ad23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a452d02ee534fea6b8e3edc0fd809a09e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2817a25eb80a8ecd223600fe532d1ca8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e4a326eb1fd884d9017daec5c36613',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad659c8d4c041cf18b2f618608a919086',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d9523853eb66c09dac14d748b6a831',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af29778163af8950702b1aa81ced0c022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6fc62296f561d146abae01222f228643',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05967331188fb76246fb5121bb1c4e91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a95a2e73d8bd62f6e3de6b71f5a4905',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b30651ba7948c6a8e9dcdd425627be1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad721e00b49d1e517bcb5e4b1d03da7b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0252b1fb4e06f3bb7f21c00c181797b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3107334b0e3527d1393642e796599c81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfdb998a0fa9a06b05bae6ce304492cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f31a4382931e3b13f8b0102f463288',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c360dd5ffc04c3bc6c440b270b3f380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4678e4ba95b38ccd2a2fb97dc5bc925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c311b88b792cf2c5c98585b3e939c0b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dfb2694dae8724b363f115a622c23b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large2DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5c4059df4bbe5df8d9057d7347a9f74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a17316a7b8cafc61633838fb788f916',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77f364f7181fc652389116e6fada0391',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c74bfd3b6fcde5b0b065fa5608b7a8c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae192d52538c7d8489bbea389574efdae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf7b8a27b699b0bbd4f675631aa0853a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b977f1cf3826e736ee3aa61cc3edb5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a9cee2c396c23d125060f1cdb16111d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb47427829a9b7656e48f1201f8cc52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06c6feba12c92f2227d43172e4e3265',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a260df7797684b78568d4767603bca11c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a892d8b9fc754521887c262ae4f51ac61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f50ff4fcd003e311b551fa5f3f8453',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f012e2fd96e59ed93cc08229ac755e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedc77ace033c848bfba838ccdb633a5f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3184f0df601b574168a1201fa652d49e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaff9ab16f58b8da7a1b2ffd53d7cb222',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0160887378e483e1ef5a992ce3e9804',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(SmallWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f221d1829a3cb9bd61feaf9c7288b6d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b1e1fb571579d7ef0f74ebca211e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab80c7e8543cde85ad479403df90251c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63c5de7c8f3e4b6563104d283450e4bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14cd9fed38907201e44754dc44fb3526',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37962cf9a52ad48cebfd032a2d65a648',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0f08163c7d79c5b3d1ac6b78f430a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac339b39da4d5ce81a83997f373e8cf90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a532b59708531ab59feab0930741da27f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18d5313e05886e660c05a2eff3632462',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a679dd530da7cd6778af69d204fdc55',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe97ea58dc125ecd4a37cb73f939d1ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c988eede4f54327acc9a734e5279b93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a714f047cca9ae9eda8362b86bbe7e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5413145db661372a81553fe70bbc3ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdd2e2d60a1dd984d70599678321246e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e14ff168eaaf39304ab4fac43621de6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01f6c3b1fb408afed8372ed63690234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b0e10d8636f5562b53e9966fdea1fde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2366bfee5018b818194637035931d236',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad71f8e94d4918be2710133e8b6d45a84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20a63bbfb4c6406c18b92d1937ebad2c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8adf07af3c07aeec5fb3ab01b623599e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc72a14447afd1707d3b45adb9050b05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d332e7afe00be67b963b06b918bacec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06aa1c8451fbd94df7f47544bbfb49ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02b2434975e8fed14839430417dc1ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a683e3481bdb893c8e93342e0d387a05a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a869b07e2a8e21f3fcaa5319223739672',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a27ed4995b96ff69c53b218f83d3b19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a16438a34d9908202ec5714d8a2d348',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afbed59b7a5f6918440973d7ad6881f59',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80c5400e7feb231f10cdcd7ba34877e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a066275ce4ecab463781d422c1a788578',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20794930020799dd572d17da0302c26c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b77eeed68bf8da4cb21ca113ae9effc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d41b1c6ad2b8f0cb22382f94a7b4503',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c7f4567b1656997dd4adfa3eec64183',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b8505cd61b7f59a83255e77b0cd6b96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c16e0bd692400a1e0fff6a32463509d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9e41576daa340cbd3a09c39356ff1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bd780ccdf55c42fcff3b76a2e8e7cbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba9699fbb2aa79da973775539f3b2af4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e4321955e51a34bb5c3a8c43a939aa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6acb371889d7143d2cae9bf9e4c6382',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1de3ba987acb5128da1f74d19bf79584',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a654016be6b21c25a09a3e688109aa161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1623a3097c78d071c991afe43dcb424e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6269fef1f458307aa75658d09412e8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c727edca6486e23269f6f1ceb575ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f3eff288805f73b537d32d935698b2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993e6c642f72718836c3d1fa7e1307be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be7216765b624e0c7865474c6fe558d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a629b2babe903990b7ee59718c055dbac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78cb97b044a45f0b8d44ecd61847e08a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a282b9130eb3b3113055717e9c97f94a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24395f328e36502ee999de0c660151dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a188a7f27a2c0dcf6bd7c2a04256e0266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8dddfd1c213af13288e8b1464910f278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a098673e36257d071eb42c31b72bf03e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15cadd1470476644f101753985b04b12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af733d0a3df37d0196dd81fd565561660',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e414bb46026d214905260031109b231',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c38109e4992afecf1325e188de37d58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCScaleFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad56ba736ba5ba45aa629f1d7345ffe7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fc6346cdbe99ab39d14bd6c0adcfd4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e690c4f9c716130a87177aa805fb2c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad74ef4f28598f0e33a4516657bb69bb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac17d735cf83e0f02ab41408918ca400a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f12ab67dacfb8344922d64e3869187f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d09700f5709df048ac95b55881806a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57f54642d89b0b6fb2fe2a966c55dd8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f5466a299c6b3adc7e5c9de207dde24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9d2cfda8e6832a7a2b560e7b9af882d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a018736600ce39485f5bd63792ee44b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9f62aa724db76801f6d1fb84d7d0a93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a114011bf74af871f97266da48879de32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae98a3514846818d9918f156b210c99ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab820e7d57bd3146f6361b7941eccb333',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fc11f4bf81d2e44feb1f010772a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4e20a0282b8c6931ea6ef18452f78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38bff98e63e38c05853a2edfc38c950e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23f87d37d7b8b3de26e9c39484f3c713',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae15c3a7fa4f6dc77f6b4704b4035de57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adca7b4dd084cd6c5de59328d100096ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef5e155991705c6a38795c24b1a0db87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a339538fea0f57854ec46f6b87ce241c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8c81f8cc3065a41588721839ff7db41',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab813c92cd90ff8cb80a49623332d8856',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae84dd2e141003f20877ba04c20918c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae07748d66f8061c7293ca18660e62d90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b0f5be58eb4fedd1c0e73ad666f65e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79c4d35c291fd377ce8ffcebc5046e0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b5bfc55284f997e1e6be0778c4eec0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72d0ffd8d130cb14ec6719a580185d7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d56b273fb6bc539532a775278f332a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae2288febf953164b4ac1cdba33fac29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e496b13b6ed884c2dfbd911cd0ac4f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a621b0cfd76ec055ccb950b54801b4f54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e726b644d0aef1dd61186ab7c92f174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5454ca4d9a7aac50c9b24ab9a0f514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af386ae56908d8fe2e579ce81bcd51888',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac74cc1f71b1aa0905dbc427c7eae718a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ec89b1ed710370a0e82fb692cb7e66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb912054997031e7acbd4168e625bc5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a795970f2612d471c58be736b6bbe7303',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f29f013f83c7914c2742b48ef83ab9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca5fef85f0e64d5a4b1efa3815546981',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993cef76201032b5584ff570d9d85b00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa04fc6a3de23fdcd9cb656d35fb4f281',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094d8c25de292fd36f76f4131726529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34ba8caff7d73197147f7f6cef947f9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60819be7595ff66aa699554f0b7b9762',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f9a1d1709b0b155400e922c6346b5e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b381c0e11d4641305585a59dffd4b1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c6ffa079dade532fe1fffc4a7192fee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a100795fba7ec1bc258969c72d2667662',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c7795cb106db7470f962bfe680dfd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e5c2ec288d121704c2bc4e3fc44a25b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39ef331b5d20b816e8911446c019f67e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4c485af01c9c9c87c4fa8125f84f9c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab073651f3eef1d0d35ea97b4cbbb1a2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae2726aec71ab2e3c7b91badef5f1cda4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4335d3732c2c34d71779398a47598d9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4aed6b27325d89555151d30583635314',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681b3c15ac7a1d58a729c4e06bd37f1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f965edc12ee1e8ab401ae2c99dd3c23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40befd968da005b967469fc65babe6fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c2362218cb60276847790af183f1a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abce97f4881dd2ae2a7a429cc0e1cec85',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a700dac0d33427b99464ed3523384da3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57552e10c37c1063c75b849d17016128',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9db16493d0499b3ebb406ab99bcd3ec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71e4dc1ad40e8713fa2fe1a66cf61c39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae21bc8983b9adc8737576e2310699e46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4bd165642f0765270c78dad4d6b945e0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca43d271095552f4883a92be2337abc5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ff54d21e57451d6754bef2feece54b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a039e8fb510667c391cd2496129f9db72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a766a0a701c75ec56b0dcf7f5718a2055',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fefa49443b86d3aa08f30600b88776d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6722c0c57b4bc8963e689c345dc7d5c3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aacf23a144ca64afb35605048f548e171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9468a6eb3ba9a62694f9c4052cfeabec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a474eff7abde52f8919d360e97a5a6528',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9229aa9b89889d07fec4216173548df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af758f199046ebad58251910e3b277f24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a804ed7aa71bf46eb320b612b0c2d758f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26cef6f0025cdae89b588be2a38a1450',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88b24e968f2b4c4daf9b91c32c0f1a88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1798b345bd3f691eb325ed0c82b3e50e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af37f4db8eb2c59fbeb4be1316e4fba7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a1438be6f65829c9f39f642ae2e4b7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa10eb96ad672536613ab322ea6ddb902',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d5a036df43f6e8b08fb675ef6c21aae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5a043d3c20b597fce7ef4f47f664af7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fd0b394c2d80a7b9ac5773c82d8ce9d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b9e6dad43f09d4c5d9af96abb055d0f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8432080b395aafc14ded3acd54101dbb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a964abd83c1891b5d0b719481cd25e670',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb41240c8a8a5dcbe17bc0a5eef7b9c0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06fd5dc4acf00a33cf86adc12a9ac022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad81de498558d044ad38200c44b42ed11',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86ddf0e48d67ffcb623168ea268f83af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a5e26c47514cb15da0493e9b7aaad8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06990b3065fb18d712f157d24d624700',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a649058508183c6f411207dfb519bb981',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28f66c42d812692ad2b793eafae15c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58c5a55504ba341d7f42577f3a694529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d46a2835e58f6bdec18d668358b6dae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee7d650bc059f8cf752b8188a80f5db1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a215e9f428d6042cf896a6378d28c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a234d3ee7abaa081cfaaa79c3c39d515b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8cf961b025ad19bb7a33c3310630c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab335aafdf19f5ee4db752fc8d19cf651',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28d2cc5d04ff5315c274f3399af6239',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fc2b202c6c2094566acc3a9834c7967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5615640d2195ce7a42adde58479af189',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad901b433d9837ccbc813f45da6643a44',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af92744dbe82969aec7e036fd13ae6428',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28c3d4bdd5b08adbcfbd2a65c3921133',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae46d1e403bab2ea29f43ba711da9f71a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6b609505fef5526b0653f086da98e3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c5bc8cced9a7e12c881bca3a565c2ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a858096d6a63a91c8a9ad36fc2d6cc1b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECopyFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09e77113a6eae93fabf04a17f7a476f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ba5002c3abe00c29ed121456da6bef8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ee4589e93ea3eb2d81572abcb6ea802',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc2ea28e787202a1752ce6d1c438d87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a30b2256d66a274b9ff99d4792f62d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a123f3c9d34e1f279e12afabff2fa2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a312a19a723035c9af5369561c209e9bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addb4ee4373b6c25404dd9bdca479bfdb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae259b03ce6c963da5d83aac6e9270822',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29be6972506ee52c58563be0892050c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e047188643c878ba2814f45c088ac84',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86b5e2a8741f3426f9575a59ec59f926',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6aef9b020c5dbe5f5d259824a55bb492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19374bb763a9e982dcfd141d970a82f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac33d475afd5d98999ba54bc159be27b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8003472becf55070b9acdc6ea464bdb6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9112e7bfa1e9361498e84e53686b13f4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5e422971717051d5702eb045269d416',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7de2a0970e70f262ebe9f92ea7283059',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac11505c918eb0c7ecc78b08ce5f68bfc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af740c2dca174a5646e5f080d38c5bd5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdb5c0322f9f4913b34a1d530191b393',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3e9635308882708965279d57acf36d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2912828c04156a03cfbc2104cd17794e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88c92e97243e749c0ba46cc3550703e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimized, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::OptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e29fb173cbf750f21519e96ea1c1504',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c79c6af6b49b8085f4abfd59e5fc11',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f3c36ad44565df7760c61f175ac543b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimized, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::OptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77380f19fffc5978baf99cf01c239736',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf47d2942c58c23e95ed52a373192004',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e420b1b657e0a7b95690eb9b8cf64d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a736be2ec7fc4bca1e4311831255323',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09873d1949491bf8bd980112558c9de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62e1bb9b34535f71f3c27e73e3e4e8f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52aa765d9eb0a5f9189cd7f8ef6d4692',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85be6f9f94ae0f38dd13af6d4e2fdd1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1fa6c21cc8e5bb118403f692a81c56a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af28ab49b5bab61e9ab1d819b2bc076',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc3a85b9d52fe87d03bb1e6654ab1732',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabc0a33d098016c8f438b18581d6ac38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_f32_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ad955e77399b81847348a8186e1c3df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f32_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae5a7ef95f8d2e1c6af7fefae6d479fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8f6bccec69685cdee25c444ff892c29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a145f153b6b7d1ad015e2b6d1b7614516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6eb086473521c8c6a2bbb68c3704632',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0269cc469469d5fcc6442414f1f52f7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53a18bca49b1657cb5782f82b5c93725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eb9bb92570911ada4ecd786d5efa55e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72ade4c7941f7fa60108246b9b334d66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a238579da703bc6097512b25055470277',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdb6b6ccb738038e2a2d5027069c0fff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e6031840dd2ee13e3942435811aeea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebe70d0179ffb26d720aac0fe54fbc67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd959c9babbd28ff675c63615d778204',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54280e5b9cfc25d02c0ef4693b5371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afad045c7bea57340a4532a78a6b04e7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5245fa0aa14470e9c661b365648d91d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d2a0247954b6e925131a50bbdb286cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79e1e86a4d4af380674e257bafe5930b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a746741b32c007abd7b1866706882ca5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06410a2b3342ef0d51c93c3345dd6c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad95c94f4a0612e60257d4894537da362',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f8f5f8dca67732536f93a7a8d1b57ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b082d3a9d89e485ae21fb4bfcb9ded6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acacfa792d9ac8cc563f34f192c9fdf7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_S8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff14b2b9d2c0f1013bcbecc88d620a8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_U8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93026a891d0bb12665dbb384891d33d6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d7d4577b68120a68311b290f8a43161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55a1e7349177ab150a3a38d8553633f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a350e7fba54d695617b037438e0b898b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7da696d9c523f45c29c942a0f72b877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45bb19481b889579e877cfafd3709819',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bdd9302efbad44ab382fa8a43ffb73b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e090b82e1cce1d96b3aa4744f80a7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a617ce9fcbf08ceacd60c53f4e454c6df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, NEGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a812b6ff1b40fc45c6378ad2a673dc0b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39b49688c1215778a69d9ac852342fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a0123386e6cfa721be6fc6ac7bd5507',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05381a8d934fca8860431cacb78f48b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa05f45417fa1f04644246b2c64d5faa5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0abbec087553630b76284d3800c79602',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa42dd381882b75e11b8cd4e91e525640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07093aec31e6943b68365996603a2162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a272cffdb5099bc64247c17ac957c9a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a137ffe95a855b8179423f106d35699a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9467bda654317962be9cffa5d4d7eddb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18374814930003651f2e25809e4100d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2aac8fdfbb6aff09c6eecb92bc4c28b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0892a4589aaca322c116b7ccbfadd00d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a400e224c5e2d727654910544a469c2c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ae1dd57105ef480bb4aa1f00d426808',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a769ea1012de6af82d29b3ecaf291a070',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Axis&quot;, { 0 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6db6cdab3b22a7f146cfcea8eabe0114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;Axis&quot;, { 0 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c359bc464e9031b30f4b04ea933d950',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51da711ce9190bbbd3ef0ee3866109e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2147d72eef8b4f5143e1edea268f05f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace92772f1e03f70927d051966ba010de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0576bebb3e58638122902d2e4726de9f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125ee4e4c6346b94f367ca20d8b639f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede7dc4d600a8b5e97e99230d5c0eb1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac12a70129dcbf2e7657fbe44e3b6bee2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793635d708ce3c14111e18c0c3c4c1bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab22172b75453f57b458b2089e9e33899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2991a776e7d9afd05ce6c4b62abe630',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dee97faf3f5b0b27bbe0f37753c9f5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a288ea74e2c46321d9243dd0d62c8e789',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2717a3e83eb53f04462a3b678b9b06cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7e5e6e7c39d3fb71e5466ec8c7fb3f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc98e26a94e14dd096065747ea3e8c50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49261d124415dc138dd49ae9c446af7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1daf2796ffd117f6effc98aabd9da3a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae8ca77224eb2240d02268a2722380a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9eae0f8202c35e96131c7cf0261498b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31634f9b24e515cf65f11a0bc48595bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af360ab33f93890070c6cf5fbcfb62d95',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab67ac4d8d15624bd2781ea5809088b3c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65c87118894df44b501efa9738d3dc15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade7af47876ed537de5a3431741d6d234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61e3f050ddc951ac278d4a658d97e0de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1472a19e122cedae0fa4c0a8c7dde29a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaef97d1a414ff109d1556fc7c9158973',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9596411df08af3ea4c3adfc667629544',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac28704730c506164973157659f59fdb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(PermuteParametersSmall, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c43b8814463d7188b1056cfe098e968',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(PermuteParametersLarge, framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3aca7b8dd427c7a78e479e41a7cb6a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a826d3091a4d87dcc412b87bfccd712b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f725602915f9a36862ea6ff4aff925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60fee647a75c9ef766fae0f41d4f14c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa39faa5bc7636a7981279c09204fb4c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45a9fdf5736081ef4cada3c6a13fefd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeef7e78eea6da0668b136ced1176a734',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a3441aa92b954816ec3a2154b6ba1e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05f89ccd037778e4faae08db8a57c3eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac089d4ab2011db4bc96f46c617362c62',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a0f90a41ed20795d362db90913ca42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab38f2668572d3766460002cad2f12063',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9c5149638f83cdec624f15c992a1c87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a8e207b93423f59931b89c0461915ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a869936fe653dfaf2cc28abdda8dad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdc8de20e27ba531bfef776ecdface3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a051d3165eccbd35e75fa2fdb6385d244',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b784b3c67ae875ff7627e3a535dcac8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95230ffbed4068c3da024bec3f27b334',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73a6f7f4d28a884a3bd6831a27a720cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027c9ed250173025e2469ad5d5818c69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a59c6093a849cb44df90025dea3366400',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe68ff0cc80b6d68c2bd56a1dd330514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac52b56b57d9dcfdb12e0df9da3eb5b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaca42ec0ec6459356598dba527eaf06',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed966eb5c0c998ceed6fc0a11dc83848',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64f889f25742c68a48c1deb56c5cb8a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4c3db661cf6a5e3ea00cd46b2b1bb08',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7eb88bebddf28f21dd82fbab03b3911',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf406c3edaf0ceb360c62bd22f34f0b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02d81a1d003c172caca27914a3e88ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681969f1363fe7b3c3fa093ad3e70e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9f34f20d93371d38b959874911b9e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f62c853c2b8e82caf5ad258cf644bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adac4d6412039793c78768a4b19ff5062',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4acf194b4c6177712943efe26984add4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38031f05f899860165e09807a12dbec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d4e5368e3811f133c76b7e0e09b87a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33757b812693b98e83dc457dbebd90e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a022d78b4a28f8e7b80b8bacefaaf9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99b8a099235ff23cb675944e4266233c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a569359576874fed1daf3ea7aa21079bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa58436286af11b3fa02c30d4cf7f4b8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), datasets::ReductionOperations()), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e59d7511e09055d4fae115f37b8329',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada151deb4d02b23f5d42640a555fcb39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29dd396ea81ff2b20d1945cb72b3c58d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32d10d3c62058cc25b4a8240b2c0db70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125347c7f47be6ee9180256b36a6aff3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4d9044681730a00c280a84b61ccdb77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf65afb5f889e8b0645a2c1329c554d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada07f36b299d444952b3d0dcdcb21a47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e992867d9f8049013d8ab3c540fe1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5179d211b87d8c1e650219c9288b2d67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac20f08f84350cec359fd993a89fb2429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35eebecdec6239bcc2f3a645ac037472',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16bef8ca6666ea890dc8cb4d221abab6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a9aeb6c71de03a24bd71c7df97da77a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0620fccea209f1cdbe397a7df703c3e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a118c18b166a5195bb1d67c302e022606',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfc3084245ae1ea417b65ac0bd340e18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a846e80a2ae93606f798085d94842e21e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bf7e6f323df630eb6c25ce6f42a9e53',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed4429269fca49bdfc415fd41270da89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a065f6d5fc454c7f38cefe407efd418b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef878c5ff7772c3e9374c9b275fe3a04',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8254470b103e954dd46db6e61d3b0904',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5a9a6cf4c1d994d6a4c60982aeeb174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99a9607a7159ac9a5af98e1d340f4ab5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac226e287f6da027ac6f233921b12effa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae09ed9ec7e899dfb944b44ba065953c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97f2c612f312fc58926e484211c37dde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc4cec9275d172924b8360d547ffc8f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1edd0c3d8d985788946d0990d2b76645',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb87c625355d20923c9dae126afa559a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2cd1d5c891efd016370b418b5cd0c4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1407b822f91fa6e35c835f823318e1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9aac797d850ef296073aa3a3fd76769d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b7f8dab340a565d82a6c121947dac69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6ae6e4feb2a289bf9a64025bfa9e571',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9837ce267337cee4f6c46c1e25fa88ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af53ab100207675396c546a91a9521311',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38106a98efdc4e8f9ff90339addfd557',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfe24bb2ef8c8ecd4f1188099f35af10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae283c83eb95604027b72e2c96ec3c15d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada3684542231567ddb1bb7762e3ed57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adef9ef7ac03b465bf2b052c432917a02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ad862b84b5de8c66eb2b5a4f7381c10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23e3a57e90973a7fc1089807cda49ac9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b12655db93d875e34d0e7dd78f285bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5beab6e512dd2f8205096e875109492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac36385f651dc7146da8f8cf38dd9aae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0cc9aa2b992d30faa93836f1e5ed5749',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302d5bc9c311e27f605fed818cfe1a3a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaab998da6cd1cdd17563621365bb95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf8b75b2ed7f99e32fead5970ffc287f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5921d4278edecb48a6bea0ec35d0a1a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c022778b396ed59b33bd09c60b9cac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84f6d34d13c1d1047d51dea72fa91f20',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a789c0705a32618491b1283987a0284a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))']]],
-  ['fixture_5ftest_5fcase',['FIXTURE_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a41c4774d0355ab92b88278a64759a8fb',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, CLBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5007ed46d1570c428818e77599bfb706',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(WeightsRetention, CLWeightsRetentionFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab692d9b34d6b0d64c2ec3aa1c524e296',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, GCBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07437288cc3cee452353b8ee4bbb9a8d',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure, GCBlobMemoryManagerReconfigureFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9bfe8fb601740e5c3ce153bba71e925',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure2, GCBlobMemoryManagerReconfigure2Fixture, framework::DatasetMode::ALL)']]],
+  ['fixture_5fdata_5ftest_5fcase',['FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1f8bdc666967b22610ba7524cc85612',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28b7052dc7ccce757d1136d18b7efbb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57567d8110f0996b4af4589bb360ca46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ef43942b3e9e81a2c9c7336e293f7f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84fc34f7654197b4595237fb6c3c6310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a592f13c2f473aa13a232c5ca65d3ff49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd70818dddee4d8f421708c9070763b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0cd1232470b4cf0b398db49afdca8a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2506557047fc567afe36237082e85d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc16f69c216561ccfe575ec7f7421171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1593ca319ee1b25c2aa6f7b30c2c43b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1788ed44fd56453e4836c6a9ac42619b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b033615b2b25008029728d82da1059d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84071decebcb90696f1be0c97f74cc42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb9ed423c52acceff68a9c4927839e5a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArgMinMaxValidationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa851094369dd694376f5f0cb9d33cc19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArgMinMaxValidationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99445f2ad6eac78f4f228ed8d7af2f73',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39fb33d73c7cc13659cb7c5bcf2c6f1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6af84e6aff8d1f3031a686c7b01071a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70e9a434b0d4e3e45a1c08a971125a31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5c0a55a6d5580f082ada392c45d0f07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09e005cb8e52c5e45900c067da73db7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa52346dd7e6765611a14aa7c292c21fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ee90e04dba9c7609a2d40e17ad5bbe1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5684fd635df10ab5b0ebc921a825128b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1554ebfd23600ecc0ed289f1dde62b16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61261e03408a67de3591254e55bf867e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ArithmeticDivisionFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d8d42d7643953d13b4fc97bebc9dc1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a936daa3c3787f800a2d9f040e71c61d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbfe1bc994cfd5589a4d9c3bd5f0212d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05bc6930999633a21742eb1c05c779d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), ArithmeticDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af68e6bace49e5617947d2768bf4e40aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb34560764243733ab54a07dd85ff96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticSubtractionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f198a134cbb763cf51a59ac77386bf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70180e205f366e446b72ea5439a9284c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae3638eb309e9820da09517b9c472ca3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27122301a7bb1d74f714ecc6e5f9b2c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad29b2f30f87fb0e854a69e60c932eed5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5385542f37f4595576def4edb45a2ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99d6a74959ee89d87ba28d9d2035a2c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d2fbcf7aa6319b71a40377f2de2fc36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3dc00bc88656d33686fbb2391b73e86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4a31f2ba6ae1a69845aa352acc16592',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a157af9e1f21df8785893e442409a4435',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95fc7b63be2ff6f3fb3dbed72df00114',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc070dfe82e8e6f33802197244d1c194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0d034ace5a8afb6e6b452837d6b8a7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29268c6666492a3d1fbd76d1951bda8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a950024fc6d1a7752166a64697ccfa0da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec90efbefe0efc0c331b097e66cd8b03',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f951b640ab564be9fe821267c0a7081',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b9287376c6bf564fd512abb5a2d25e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d18b645ac6d13b3f3329327477b520c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e4892dabd25b721024f9d6794c543b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780c5932c4ac9f3ac7217a639de7293e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fe1d277b76457e0677aa4e3d805407b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add8103e0bb929134f064567dfb764b18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab150763b7ee038b955305977bf70aa2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22d88af446da0a183ed58e4af7c8e653',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be5a8241db2c0caa1f531fc8f0ea51f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af42d5c4e6b684220360013dbfe53ef58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2cf6bcfe3ae1b4f909a020b839c49524',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6d70e6f42774e3a425b2e6f0dbe298b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU8toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a335228622e88fc319dcad1454b517849',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b37acb470b616e72dde15ba2ec92ee6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fb5a163bd879243842df5798ce7e2fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2f5e3e2ebb27a7dce5f6a1abb39b744',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecbb38cec0131fa321fdfe37d6453e6d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a182e173280ff5c93733cbca2ae2989c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a001ffaf08ccae65bf035dbe6bd26722a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS8toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f833ade403aac29efc69f17aa40c1e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef8b450e1c51784be1d198c969933fbd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ffb45cd97735ceed9bc791690fcd44c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48222727abe236a9311671ad58369d1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43297d01b90dd80e2f6d3aadfe1b1bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e30d9af2bd04e0ce7773b84e234f725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a203cd2dc68898293fe20601fe31f3317',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a346623ed99dfc25b0bdb4766b953b373',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc48078f7fd0b171cf71579030e82dc6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a413e6fb1ce378fff9e30f805e49ff39a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a67b7e5e562f29d2d06a7d10d69255877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57ec42eaf472531a41c3b9d8c115dc12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd0bf95b5a2372412d967853e7dcfa39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adea109672516dfda7b2a9af74ddf6932',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a559301755e5eb82b8d3a00b371b1c460',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afab9539f2289075db3b9ed6e5701ed7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4eb7822f60ac7f223c308662e681d656',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370495df5c226b60ed8023e1eeac8b09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82b679ea32e57d17ba8da01a95008e9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8cc97038b6e5ff617b9a9ebdfe21b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a989dc1b650def30aea5b27e361c95155',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastU32toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89d970c55b6e34dfc31c8e36ec13814',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72714ea937f7b88403c7b5c98ed1b704',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab76a36a7ab756336b21d5781c5a926fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f000fe18a9588a72be70f1365b8e2a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ed7521147c7992d5f65b360cd2812f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abce2052638953287c8aa74b2d7b61347',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acec4d79489aee16fca04612c34e5088d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastS32toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad430dcee754daa3b53d65ba5172f6f60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34de3937a3d5655fd3908896cac11dc9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36b0a56d72cee86692ae74ac85614e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf316a4154afa2a7c22774c7b7c3759',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac11253aa40c8d827d8353b592774fc5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc746dd489c39be6cf571fd79cb2e825',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe11a362a1613a536f8305746734b495',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF32Fixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF16toF32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aedb470ba4b48b380c2da73a724ecefac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb9f9362cf4b0ca4c4882f0341c7a7e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS8Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff60cf8033f6e04e17b88bf8f022f53d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc379835850496ed94f061286b0a8f50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac09eebf3050158d2e1527fb0b727dbf1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToU32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toU32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d6850d3c7a9df9bf1c7103b434616b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToS32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toS32Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84b7ae4336edea79e6b9cecadf82869c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCastToF16Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), CastF32toF16Dataset), datasets::ConvertPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33ef73d9e890fd9db081f1ea48f79618',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5fe43cec1fb6be35fb3843967dc00b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93ea11644b7100b02b97f2d7ee3cfc49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b5dcd386c7d06894b0e1fbc7a361834',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08dcc75ee997c823616d2bc1f24dcf6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3ce8fc138e35ce1bccb618d72391c2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a453ff1f233f3ea0903aa9ca114532e23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b7b313c38e443323a22aa3b71844cd7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ec14cb26a1f3dbfbc35064f1c560bdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a58bfa6eef9b6b96ba700945e17afe6c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaa36fbbc0ff89a59ab4457e78cdb775',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69a0491cae54dcb0e5c71044822f7f32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1e48a05b1bd7344b2606f4019bed6a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aafb9dc8b66a877be8a41dfa6a28f1271',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade160e12e71637b74582849fc099c35e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c617b3ec7e1494b6cdad8047b5b3273',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8521586924db37099a30c1b87d3eb934',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5657f1d49255f5bd40c7c2b2c62dae1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbd6aec760029a5b72362a032a5b2ea3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7ec2c93af2555cd1aaa09020b004da0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLCol2ImFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGroupedCol2ImLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af94c44cd7181d6c712a32b4cd57009e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512442267dbe39497a8fa7b4d0bc6ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6351d31c5b83e6e4a22866515233d45',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81dc8e6b7df255fcbda49e292e8f27fb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affd61fcc11e759ec92d62e5e205cc18e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab297f38ccfe37cf1d92f119641d782fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23935728823d9415a2d9c5f24186f611',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a66a66ab8abd864039725ea83c5bec71d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYV_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3ce606c050836a696fffc84ac783ec2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04652f5f93318a8d732a4c65e7f73701',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad89cf1b7355fa156211a69914fdedd70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76148aaa213b4936b344a0ba47138099',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a935223f048d628afc725a4c4bfbd41c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ae2d450c7a17f8df4a0acc9a9cdfd4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69dc3241bc8b74b7ec8a9c99912078a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11f6a4e5ec8ac8c89a972e6c886d3266',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f0a0d931af2904a10a1e8ffc1df79f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLComparisonFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a995f5725bb50e598ebc27c7bca208e3e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLComparisonFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae699d7551b7730dbf5e52eb684acc9d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLComparisonFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a851a6eff256a89c25e90de1861a27ff4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLComparisonQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8900eb93de4ee5d08fdb9333bd0e68a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7476e05ad551a83a61ea84aa13eb1f4b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2dc317d1b430fc4d6477d4608e195af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7497106f822bc0bde89ce861589e48dd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F16))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a092e0962c1ff1f0b12e1065690c38f4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::Tiny3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cdacdac551f7f6196561a94e03585ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a104a10d36e384472fdbe0afed71e654c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a340e8e6f97293b7ba472dda60e324d5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad38268d73ce464167366eb7c040fbd30',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473f672d62647bb88ff8efd93b68bc38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43bcf2bcfc0fc5ecb1ac6a324bee3fdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adfac73ddd29ceb2d8b90c07749ab2b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae56e8ccc59b9165658842ced766e21ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab59581debfeea11f73528296fc4c485a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe5e0e78a9dd187bc1caa2fbf168c06c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad53b8d93423976287977600d94aec48',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4285021da4d786c03f562fa4e0f8cc0d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsSmallDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f09c78a3f0e1d7760f41b6fe1c0a2e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45772f186df6066362a96cdfca053147',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ae86af1fe618a3e89d65f9c463ca60b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d7b37339681bb0ba073d20e297986f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752fed78c2ff0f507c14e8195263b447',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bbac43368bb3ab56bfa71c1426a8c15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace80eb4c481c2173ff5265882c707c1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16e3727b0ac636036f5b51e94e46be46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), data_layouts_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, QuantizationInfo(2.f/255.f, 0))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6071fa03181f2d8213065ae83b644b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a54958aecc1789140212d82ed3106f243',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8e03673811ac00ff05078132f8b8024',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5510434e7af2e8da7781a204a79d761e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a026db4f4c50fa2a81191ce2e0b663b89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cce840452216f3260406bd9852e63d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a19e1fbe931820770862d454fc05d2f1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d04b987d8740c922911e59e99dd6e6a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5f405aa36cb310826eba828ef8faf57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898ea7125dccd916546b496dee227899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a180df147a45a09d8d94d001f7ddbada1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81ae522bb55e9e98e04cd743d0c598e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1fa981e7152b13e75cd0e35d671d948',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3120fc5b8066ae78d487929f54634826',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa04190dac15c7a389c0d1bb1f2aed49c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a2622017f10e2452de0a74607ef7eca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd8709dad580c8178d8335c46adc94cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cfda8a84bbe51b5e958282582481f2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d7103069300d7e690aa463456281e72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd095ad81e0c57600f8c1dc28d358b8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6417bcb2ddc78e5f74b7250a827d7548',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a507999d0b453f38ce772df4381eb6616',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae2035cb9bea94890bdc73681da4f54c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b8a6ea09fa2d6b716658f5e6fa445c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd80019152b001c4a58f04eadf432d31',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add415c4eaa7a477fe835d6afcdeef755',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b16890f0966c3ddb37b1f4b22e0e624',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f5b4a05ebb82a2685f6364f7c5a4e56',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a780baf430312299ec798f436c270fd1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4ad67a43653c96c582d7307be430454',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NHWC)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e0670871c84d5d6d5bc29706d834e61',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b52364e59e1599f023fb507323940d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1dff0f2ffcf97659c3ce51dcc9763380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab3c327fd39901fa562ee5b04325091f6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3eebec77eb52cfb8d65fa2c0f46cf6d7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a487982f238bae622a4d616f3c40abd35',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0410ce9ce1318beb696eb5529dce4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1cd7335dec744f6c2c62908acb813c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a792e33acb004d8c578ca4ee5a954bbda',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7931ccbaa02a6cd5f19e41ea1fcf8f37',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f68171a06fa54b933f4650fa88615b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada56814c0f5d6f750d7fd2de733e4ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa17523cbb38ff14beabc7dff53ef0d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a98ace6588c7a2dd54bb8008309a70c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e8655d7294909daeb54ae2dc540b6fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab165b0693b29b10a521b2889d311e0ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ef64a9d6936c7fc8a1692d114f29e26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61f5a8c1a5a41e08e9ca5aaf68c7c516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 0) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, { ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af07bf1462d49ac540aafd58778a5bd60',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2a7c0558edadd58927e2ae718b54c88',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74845662fa02c82a23a8228ef7987e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ac3145c64e3da8c03629a16f7cde2e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dfc00fec815ec029c78daaa33fc69f9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dbf0da7b126e94071b585212021952b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2c47c3f9d9b1578081e46b6478cdefc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e5e4eb448be2d30b789000b79e7a76c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21a1ee860b586f6f45a366acbc6d8a9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a740cb3946164b82663de43246413b9da',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7b87830f3fddab6b01ca9d81a972f7f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMaxBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5950374bd86c8e93535e7d1b767aab96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ef2b809ea45bf588bd33642b3076600',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fb03f12a5892548d4ef7e3dc6a7a144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af863a84d5c828b199fad1ffb5a3c33df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8438b034546f24d3d38a7758e6c88abe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d62ab73ac3bb158d5db56e1108c1961',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMinBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae317839458e2acbc4f7887d0d494c19a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22533e516588caec3c4c543e45020f2d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af233e99feaed3b2b855d7326c8cfa46a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a556d5d37e1f877c5897d8b02a9dcb5d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6a65b6e477371b9f1e9494c61e663b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5511cb32e1bddd0776662c31d836b6f3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6c5f3f1be76e0562caaccd39c16ee8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9df7caee77100c13fe1c5cc71abbce8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69bb2d47d4c0bcf839efcc80e9b2f57c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0757217f27a2131fa99747426a2675a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc81fa03be21fb516ebd048fec5295ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLExpLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9ccc4bcf08529885008bb3c64c14487',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLExpLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a952a083b3c53fbdda113138e11e32852',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLExpLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc2b95ba11edcf0fde3a5d9241b770c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29119abd34cb6af8ad52a9cc9dc4380b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6331f78a2f3e946535a3fa73c46eaca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c7ada491af83e6b0263e057cbfd8d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cbdb07675cbd1605aa8d8de0046bf05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdd086d8a6a088acde2e91a617b8fccb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFlattenLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc52775e77fa1060559ec10dee0b665e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFloorFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a6c09a72db979494ed1b4b62db649cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7aa623963a6e535e756f72422e5e15b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f8f584ea77fa1a3cb1ec914f8d566ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a007daaa5561c3e01626aafd3b393fd00',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bba67716790382dcd066dfd169b8008',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99834f03a49c7e88285d8ab16ce8ed17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2d618db6f656b145c4832b2dbad83bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c456c3072cd35ccbffa0e33c3707bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc62dbd3658c181220ec0dbe3c45d56f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGatherFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dc70a32e48ce88f4a2c30844a6a9cdc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a785ff060eb28bbd416df82b55cf3846f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa35452ded0d1a2c7f966d8ffa3542f7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a634d0e08a9bdcd8c03e496ada5b4c5e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGatherFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0149511565479a9d67455a4e8bd5f186',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9371d17ded1274b9670542c1edd0d669',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e3f60b8736377c40480b346030d482f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc91af1dbd0e33856756a7e4446f76b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a360f00592f57957fba89788a3539267a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7e4eec4090b7441d54b42c901689144',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, CLGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af112106bb5915291340b1df7aa829efa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af22bab8701f16b33b342f7a8cbaad975',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1af823ab0a5de9d7ecdf4ac3b830fd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c0210fb352b7d0b459b8fa06cd0f72d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74b69b379300aa8228e74445e18faba4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74a9c45574fb389cce1e0c6ed54969ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMInputOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMInputOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68c34d9ad7090652085337d405a729e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#accd76515b3b012e52190d72531537c40',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMOutput3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMOutput3DDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a600a867df0be522ec459f007eebd08ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4151966085ea8ef844bcd05a660c074e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af65a4c8b34633767deec60ae44632f94',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c18ae5dcf4f5ac59df56b2188f80a4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69e0db9d6ae5e9bcaf3ab8265846329e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ca34486637e8af800e3454281c4b38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6e3bbf30e292da94aa475bf94b8aa77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6c944dc360d1efc97ebd1171575d8e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778ea987603760f57d0e1cfd436fedf4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyReshapedFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ca71ae67dfb07fd6eff3d375dd71869',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyReshapedFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a522c198c34952ff17f92bc9e9661a2cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMLowpMatrixMultiplyReshaped3DFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7a020e6734b92173375d4cef3208b7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMLowpMatrixMultiplyReshaped3DFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af54591b23fea44cae059d2af988b0258',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9225de1d4fc977f9215f6635ed8bef43',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c664b9e91f23083569baef6f42bfb5c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a319f5ef31177cc2f424286ee012b5652',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b985e6c7015bc68e840a9ec35059433',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMMatrixMultiplyReshapedFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80b57387654113b06ed3e38656e60583',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a618c50a0cdf2cdb1f11edbe6b1ff1da4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge3D, CLGEMMMatrixMultiplyReshaped3DFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_w_values, m_h_values), n_values), k_values), b_values), m0_values_nightly), n0_values_nightly), k0_values_nightly), v0_values_nightly), h0_values_nightly), i_values_lhs), i_values_rhs), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), a_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dc89a0d99924d2de0cca9ae84d13116',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMReshapeLHSMatrixFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb3cd6d8e64374da98ccf0416b8a2b21',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f2921de265eb7243e97b4c09c6749ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c0c77760e6f3c8ef99dd4f259fd4ab0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2d91cc3977ed13936c0df68c5104909',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMReshapeLHSMatrix3DFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d4ae1bf915b71e3bbd5c871299d2b8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4a0fe88e1be6b1d280a71ce3e76b523',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a361b566db80b9830fd33644f0b06d6f2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMReshapeLHSMatrix3DFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a722ad232316d3fa90da249368a2d9909',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall0, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_precommit), k0_nt_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fe8d2799a6cb668c68ea5617e4ae081',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eccbcb07c0bc04320d2cf6f20c2e3b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc875680a0ec7d96fa50e95617d91830',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4b65d5fddae4ba85906ee48e961eda7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18587bb5fd5c84294307469567204278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cffb1d9cb2dc0bc65b752b757eef4e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4fffe66bc316bb6753fe1e23537f2a3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall1, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_precommit), k0_t_values_precommit), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ade3eb8615128c931acc9cc70b42e7a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge0, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, false)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9996dc3041480c737df9c4f18001632f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge1, CLGEMMReshapeRHSMatrixFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), framework::dataset::make(&quot;transpose&quot;, true)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a915053eca2fe8b7193255831e6801e79',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(framework::dataset::make(&quot;NumAnchors&quot;, { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5c9d0ee14584d7570f9eb4428aec3ac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fb31d286f720df7c3d1ef8ab9a169e3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, CLGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed7e4f56d6f817594d2740466a08d4d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data_precommit), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab54ffaf20a1260a6132942abe604ab47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data_nightly), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a548514ebc80a8a28cb9217b41a6af628',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36ab3c767fc4ba506f02a432042f3640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acab52f21be8f21888edc0d7429ed9103',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680e0cc53dee00a898658809ba9d1ecc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a9a98550d09ef94d41895b955248b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae53a98011a44c19f1702d68dfc495c5e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18bd77af6e29d7a5dbad7fb330adccc3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88a6fedf61d9c77a3d31d39e0589241e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26d5203a538111c2727809a323c76d78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dace25299456a9b475d1199f321189d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af1ea2472674e81621fdaf007ff6333b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a75d37340f793f5bbd622eb31899c1c64',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a485d72c3e35baab0ddd963a676221b90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a949972e2bd97042ff5c70a7736a2c771',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::MediumShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa44154f1ebaf0fc27c22a34614340b67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4724cf454c347d793b09e70ecfd49b2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f8641e8b307b61a137e5405b1c56131',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaad6e6af1abd6b1835c2a4b4618d4c91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab05fa88a2f816dce047f4d47acc276fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::GroupedIm2ColSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e898687b31cb6a50be1a31d6249471b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::GroupedIm2ColSmallShapes(), datasets::GroupedIm2ColLargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), grouped_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad50aff7a15be6a8a3c4d535a260ba8e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82a7dea7dcfa3ac6f421a415399efad7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04af0f9ee366f68a8e53d5e7128a3930',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a247c43fc9a197537426bfdece4a56bac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5b7faf9b9ac20b1983a7a2ed345a8d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), data), framework::dataset::make(&quot;Epsilon&quot;, { 1e-6 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d0cb440f6fbbf4443b97ed75fdfcd63',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa031ea4ca027b5c2aa3e9b7998d71676',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4a457a9020dcc99f3ad35eb57abee4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb36a1da15d6b541eadbfebcc79a2b81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17e4b2f5f717bcca193e2dd039fd4e4a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c7ee60588d3ce2815b4d98662d37ccd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad345e910d6e5d48973c85638d3020c09',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLLSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5e33c426de1ff657a4aab507236caf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9858e155935f46f989759828d76696a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed31c4dd30c5b31a18aa6bec7fb4b0cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMagnitudeFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07b92ba1fb6599236c1accbde21a0f75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e07f795abdc267b579e8768d134923c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2391398d95aaadc49fddc3c77d189cf0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1337d183c5d8f5e15eb53ea63bf78483',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac24f5bca01f85d0aaff7793ae4ff065b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79273ca792f49600c6485cfa29c27f36',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33c7ad45dd1317eb013409ef710daeeb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac39c31f152b46c0d02b6eb4fe4afa194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a473c70ef41d7956e3c5545374c7fe97d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a112374c662e4c050d9dbf1691b1d9e2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e35666744a3808363928fe7858b807',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b48d3fd09c7bc70b05938ebed5cddb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a70e0ed0d988434feaadf101d04162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73c4dcd752bdf6e6c76b293af0d0f3d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b1005817e3e850db979775f8c757030',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09929aa316ea25237bfff2f344f05634',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06ff73d34023d56ed7e134af369b1457',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a898b6d95a2e1b7c8a3e835433f7637ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a4b11f150ff9cb88cccfb65efdbf194',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0232978655898cb0524afa669b59ea8b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeaa84884069e0d1dc12a9386f1e9df07',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f559314ee94f7e19cb613e31aa920ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad772de9ee34af695455918286a852b52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18074dfc1bbdab92f04c1b237a91e71b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a951f0fc437f1981a9df35290872df0a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPhaseFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S32)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::SIGNED, PhaseType::UNSIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51106824477557cde3c3693d611722ea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationToF16Fixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F16)), framework::dataset::make(&quot;DataType2&quot;, DataType::F16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57e64692477752bc5e2c635dadace705',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPixelWiseMultiplicationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Scale&quot;, { 1.f, 2.f })), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_EVEN)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aceb5db1fb93a3b5b111e749e3e923da8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbecfa884915481c6e78af1813b77e14',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8556e080e0cef15d1d518ccb8399c95e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0e2979c6dbf448095b2d834e4513e2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d287582bbdeb32c59c59ac6c59695bd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa6816392837c2e8cfeb00b772fc506',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52ba2ce7f6b828eb266ae3e14cc32f38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d1de24b8fe15809b53da096795e8f80',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acce944e25ef633b5a555baf93aa5fd69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa271b03444d55bf0cb2f027069e936a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74828548c6d7881db8eed5fc1cff11a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::U8), unsigned_start_dataset), unsigned_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84656baf56e89b1a66de58b3a8f93626',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26dd74365d166bfb75b049d18cfe10d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9afd6b6b6136857091609425c1056ca',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a92d30b2dcef4b22f72d99ab8c4381bee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc073bfd3c9503cf9ab6c06706b1cbd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7806500eee433ff5462a995f4cb6a1b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0aab658e2a003b73dbed5169f08aa962',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63224c24b007eb0c09df3a09e8f51768',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e49a959640a2e5ffa6d6bba0a7bbfec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a7fe0aab7dc2a416556bf6b29154a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35173965ebab7f82fe2b30a1f1150bfb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11be7f70e411b80709403919b692001d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e8788d498826ee2823a0081f9565d97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd9642e1093be3211ddf14279ce20310',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70c4f56aa4bb535d8966f36469115760',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc2cc2a00771fad6d48d9da0923e02c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ac8d1c816193ec9da36f66c843d2bf9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::QASYMM8 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae11708df5e23f68be65fd28225e6c996',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac13ab12978261e6bea1ce66e0a70284e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d6adfde178a3819d59157a62041315a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLReverseFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac86d6028b067f9d5db97099ce90756b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dc5a90ad65d4938af8998f4e5719509',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef1e4e08752f9daf2ad0a5cb5309ae2d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLReverseFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae087253105fff31a5106607625e47a39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a063de21ebad223bf6b4f82e66fe8a098',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, CLROIAlignLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4708875c795252f25f6bed3b2eb09290',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, CLROIAlignLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b473400778bbfc585b6ae01a588f352',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1fc91ef26e02bc9632ffbd509e894ab9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173b09ce8ebe08fe474f1ad098d5604f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f2050da8dc6401f5c54f2dfff6a94e0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9df63907f67cd14c840ca16213a549b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a734ce787f956fe8d8c02c7fea3735e4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bb8acc845c6245e790bd9d758b7df3d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9e2b047a93859bf7aede989abcf9a88c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d96b9ccaa5af74d3a33d86885c4cacf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae760d030f100b4997e786fded735db3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -1) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87320ee1ea18b1d78eac123f14188ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7465e2e519c84f4dd3604e4b4b0e419',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea83ebce319bb45e0866b4bfe9a0d06a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5828f3a0c36d29a63fb75b325d4751f3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f8a830a84c6a59f6faef033ae4824d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5caecb3faf70cfa083aa93fa06bd28de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05ef4ae410185c3f92cd322065198810',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSelectFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c900106f904cdb5c6fc0545fae34a38',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSelectFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab927d32efe8faa85f8da762a8f49d16e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4d6c92f58739df7c9f836dac62bb1e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc705d729ccf5e37de224e69505b09f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83e7a9d70231c280d7342e0605aac70d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad648c35287791b9d3994ba86017a8dd9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bf9c50e3c77719c09ab55155df49429',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aadb9b2fc4ca00463025025a73eaa32c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807cc206fadd82f789acf0fe7437bfa6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1472b5b46961cfef96fe797e496050a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9280a618cce835ac1ec5f08e5677d32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0193468b2c7b02aa1d67b192ef8c220',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87a325d6a85b7cd87b44c7c3dcdbcbce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4df07fed159b3127a6e575a48d05fbe9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c5e00ed6dea6c8723864533ca69eaff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#addca159ba95aded4c80f714cfbc0ec05',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e765e0db83c0d047b82e547c78e99b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1773da1ec7f37513cda8c31fa6f2f01',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0619901188697a1c53e3e1c2d3ee749e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a41b7108b171c01613fd15e876ed1a398',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c1c7902b3272cae0ab6cf1a85f9a63a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03412a3beab8dc27e7405b355f122cf6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1547a6502458340a1d0e7be2e0a35e2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6fa246e74b5e00e1f5d1d340c0f10b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8fb14e5a8fbe7fe14bff18579fa11fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a48da7c37c06cd54b77ecb022a3aa04b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3cbddfe65d4cf806d066eb3a38248cdf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c4738de69048aebf8954d231f66a4d0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b760c0c74854b6cb612f1312666e72f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLSplitFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23c204d95c55898b10d64cba4e591e58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a35b909896da99858085753417fae8ca4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLSplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a457dd390a99b5422ad608759be6f2c4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4087c01c2a19f9d8b76b2ef3eb1cf82',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f0ef1e1b3eab3dddcfcd078ff82b4f7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede6557ba2a1e67a5f4fc0991962a5ef',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dce750d1df62bc8634542d7eb3a6001',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7298d6d944879e8266a0699808c18d16',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae208c381658d477e839512347cc99fb0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad0830cc3b3b83dd4f2d98309eaa894f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e1f7aed5f77048b2dbc0f34348ad378',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab506b7ce1a4eb56426e389eac0696719',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2390251f0429e8d1cc777910d0a807b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f67e11af107d5921030726f688093db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5403250c29fb1d91d1434970bccbbff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae18996148e9556f6d0fc055a0cb1278a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad34a264e3969b40641fb964dae86b518',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2d04e51e7e0c14c5717bff4bee04538',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af57e9ad191aa88fb9ba5c3c66b86aff6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae14bf7257197c9ef4a3a246c8253d207',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, CLTableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cbe8b9b938f5f425c68747e8b1abe87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9963770ee6d49fd29c6410bb8e2a7940',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, CLTableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0b7499904f2b7366e73d668d76eef1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad17f62d331397f138d8982a6b6d7ad23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a739cf488348138ebd59522db939babf5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTileFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0e530ed5618a7ce4fea09a5f55719a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTileFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaacd63456b1e2dffe01f8fd8ced7981e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTileFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a452d02ee534fea6b8e3edc0fd809a09e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2817a25eb80a8ecd223600fe532d1ca8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad659c8d4c041cf18b2f618608a919086',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af29778163af8950702b1aa81ced0c022',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLTransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6fc62296f561d146abae01222f228643',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05967331188fb76246fb5121bb1c4e91',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a95a2e73d8bd62f6e3de6b71f5a4905',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b30651ba7948c6a8e9dcdd425627be1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad721e00b49d1e517bcb5e4b1d03da7b2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0252b1fb4e06f3bb7f21c00c181797b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3107334b0e3527d1393642e796599c81',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3, 4 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfdb998a0fa9a06b05bae6ce304492cb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f31a4382931e3b13f8b0102f463288',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;HasBias&quot;, { true, false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c360dd5ffc04c3bc6c440b270b3f380',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::GroupedWeightsSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4678e4ba95b38ccd2a2fb97dc5bc925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWeightsReshapeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::GroupedWeightsLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;HasBias&quot;, { false })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c311b88b792cf2c5c98585b3e939c0b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dfb2694dae8724b363f115a622c23b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large2DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab5c4059df4bbe5df8d9057d7347a9f74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a17316a7b8cafc61633838fb788f916',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38fd9304d3a9b6132844033a8ce0d708',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a23c97b8a62f67fccc4f410d8da9b33',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77f364f7181fc652389116e6fada0391',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c74bfd3b6fcde5b0b065fa5608b7a8c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae192d52538c7d8489bbea389574efdae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b977f1cf3826e736ee3aa61cc3edb5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a9cee2c396c23d125060f1cdb16111d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb47427829a9b7656e48f1201f8cc52',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06c6feba12c92f2227d43172e4e3265',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a260df7797684b78568d4767603bca11c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1f50ff4fcd003e311b551fa5f3f8453',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9f012e2fd96e59ed93cc08229ac755e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fb992b6261c49fa64cee9f703aea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad36747868db135bfe6ec2612b950e192',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3551fb034bd6c289e86ef940d49044c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b6a004e53679b47e16620641e6d5c5a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76ba4559fbf955ab5f43bac9e5c979c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aea5f1a4f1c500cbb5a19b73cebee80b4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a510c741b806778da951c9461e400ea66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4306d5a9d8a4719add50ba5be6df069b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86dab0f898d801a593d95623ff272e86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0dbffe87f2179ce2814d7b023279115a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a733f89d4143bb9b6823a7f2019842c9d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3d3f69e3800e4033c4442fbc87bcd21',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff759ab62872584f67270633e84e5aed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a777c352be768ee425910acfed9931d93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa18071fe6e7745469937e92be084e8aa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7a5c2ad3fc736a6e26d776f62fb53ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adce25b8f486e9fb7a9bd665d0dc748eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8be4116648e92b15bfd506010433bfee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ac58b06396ca30913df4fe49cda47b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e14ff168eaaf39304ab4fac43621de6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa01f6c3b1fb408afed8372ed63690234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b0e10d8636f5562b53e9966fdea1fde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac632272d008de57c881acb43d849ca9b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPNonMaxSuppressionFixture, framework::DatasetMode::PRECOMMIT, NMSParametersSmall)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20b32a8ea0b2215fb5de1abdd89e16b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPNonMaxSuppressionFixture, framework::DatasetMode::NIGHTLY, NMSParametersBig)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31fbcbbac4666f02f75f7cb985ef6579',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6eb9028286ed94ae3e5c8459ea790ec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ca9141d0bfa2aa02260534bf8916350',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7373e86dd1cf854bb1d269dbb87fdfe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f9981bb651a6a9736901a24219676d7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7660b358562450cb7f7eb2f4423a5862',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, CPPPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06aa1c8451fbd94df7f47544bbfb49ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02b2434975e8fed14839430417dc1ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a683e3481bdb893c8e93342e0d387a05a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a869b07e2a8e21f3fcaa5319223739672',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a27ed4995b96ff69c53b218f83d3b19',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCArithmeticAdditionFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5e94073c0983951c11e094c35223037',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_f16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a363621554f7a4ce7171350403d0cb0c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeRandomBatchNormalizationLayerDataset(), data_f32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80c5400e7feb231f10cdcd7ba34877e7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a066275ce4ecab463781d422c1a788578',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20794930020799dd572d17da0302c26c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b77eeed68bf8da4cb21ca113ae9effc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d41b1c6ad2b8f0cb22382f94a7b4503',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c7f4567b1656997dd4adfa3eec64183',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b8505cd61b7f59a83255e77b0cd6b96',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c16e0bd692400a1e0fff6a32463509d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9e41576daa340cbd3a09c39356ff1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9bd780ccdf55c42fcff3b76a2e8e7cbf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aba9699fbb2aa79da973775539f3b2af4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e4321955e51a34bb5c3a8c43a939aa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6acb371889d7143d2cae9bf9e4c6382',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; half_float::half &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1de3ba987acb5128da1f74d19bf79584',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(data, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a654016be6b21c25a09a3e688109aa161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1623a3097c78d071c991afe43dcb424e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCDropoutLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), testparam), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6269fef1f458307aa75658d09412e8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c727edca6486e23269f6f1ceb575ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f3eff288805f73b537d32d935698b2a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993e6c642f72718836c3d1fa7e1307be',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6be7216765b624e0c7865474c6fe558d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a629b2babe903990b7ee59718c055dbac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78cb97b044a45f0b8d44ecd61847e08a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a282b9130eb3b3113055717e9c97f94a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, GCGlobalPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af28bed41af52fb58008d20a97583b317',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1fe16726150e09fd0b2df436a70731e6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(NormalizationDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8dddfd1c213af13288e8b1464910f278',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Random, GCNormalizePlanarYUVLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a098673e36257d071eb42c31b72bf03e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15cadd1470476644f101753985b04b12',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af733d0a3df37d0196dd81fd565561660',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e414bb46026d214905260031109b231',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCPoolingLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F16))), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c38109e4992afecf1325e188de37d58',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCScaleFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aad56ba736ba5ba45aa629f1d7345ffe7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCScaleFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fc6346cdbe99ab39d14bd6c0adcfd4e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e690c4f9c716130a87177aa805fb2c2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; half_float::half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad74ef4f28598f0e33a4516657bb69bb4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac17d735cf83e0f02ab41408918ca400a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCSoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, 1.0f)), framework::dataset::make(&quot;Axis&quot;, 1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f12ab67dacfb8344922d64e3869187f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d09700f5709df048ac95b55881806a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a57f54642d89b0b6fb2fe2a966c55dd8a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f5466a299c6b3adc7e5c9de207dde24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, GCTransposeFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad9d2cfda8e6832a7a2b560e7b9af882d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a018736600ce39485f5bd63792ee44b9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9f62aa724db76801f6d1fb84d7d0a93',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a114011bf74af871f97266da48879de32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAbsoluteDifferenceFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AbsoluteDifferenceS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae98a3514846818d9918f156b210c99ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab820e7d57bd3146f6361b7941eccb333',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3964fc11f4bf81d2e44feb1f010772a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4e20a0282b8c6931ea6ef18452f78',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38bff98e63e38c05853a2edfc38c950e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23f87d37d7b8b3de26e9c39484f3c713',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae15c3a7fa4f6dc77f6b4704b4035de57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adca7b4dd084cd6c5de59328d100096ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef5e155991705c6a38795c24b1a0db87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a339538fea0f57854ec46f6b87ce241c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), QuantizedActivationDataset), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.1f, 128.0f) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b28ce6207fab6b19efc82324f41c74',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8a7eeef577c6c6d5beac9a318971423',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArgMinMaxValidationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2876f3fec8873549ee130bcd39c0fd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArgMinMaxQuantizedValidationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07a556458a65c17878c2583df2f6b340',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArgMinMaxQuantizedValidationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2, 3 })), framework::dataset::make(&quot;Operation&quot;, { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8c81f8cc3065a41588721839ff7db41',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab813c92cd90ff8cb80a49623332d8856',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ae84dd2e141003f20877ba04c20918c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae07748d66f8061c7293ca18660e62d90',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b0f5be58eb4fedd1c0e73ad666f65e4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticAdditionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79c4d35c291fd377ce8ffcebc5046e0e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89b5bfc55284f997e1e6be0778c4eec0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticAdditionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticAdditionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9544b9ff59cb13b9521f472a4cffbb8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), ArithmeticAdditionQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72d0ffd8d130cb14ec6719a580185d7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13d56b273fb6bc539532a775278f332a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae2288febf953164b4ac1cdba33fac29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e496b13b6ed884c2dfbd911cd0ac4f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a621b0cfd76ec055ccb950b54801b4f54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEArithmeticSubtractionFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e726b644d0aef1dd61186ab7c92f174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb5454ca4d9a7aac50c9b24ab9a0f514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEArithmeticSubtractionBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(), ArithmeticSubtractionFP32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f1ed97a24192b4f588721bc0f27faa1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RandomSmall, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4deb3fa6e4352509d52c43aefdaa283',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RandomLarge, NEBatchNormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), act_infos), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9d5246d37a9ae19360c66f71efc1b1f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchNormalizationLayerFusionFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), common_fusion_dataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a2bb5b486faa0c682206e856bcda11b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseAndFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa1de70e01038ba111df3ae69b6d81d9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseNotFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2edd1aff4eb0c3c834972bf8113f41d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseOrFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d00e2c662482aa10ba82b9ac406f396',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBitwiseXorFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094d8c25de292fd36f76f4131726529',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a34ba8caff7d73197147f7f6cef947f9c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEBox3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60819be7595ff66aa699554f0b7b9762',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f9a1d1709b0b155400e922c6346b5e8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NECannyEdgeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b381c0e11d4641305585a59dffd4b1e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c6ffa079dade532fe1fffc4a7192fee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c7795cb106db7470f962bfe680dfd86',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39ef331b5d20b816e8911446c019f67e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab073651f3eef1d0d35ea97b4cbbb1a2b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractRGBADataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4335d3732c2c34d71779398a47598d9e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681b3c15ac7a1d58a729c4e06bd37f1f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelExtractFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ChannelExtractYUVPlanarDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f965edc12ee1e8ab401ae2c99dd3c23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40befd968da005b967469fc65babe6fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49c2362218cb60276847790af183f1a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a700dac0d33427b99464ed3523384da3f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBA_to_RGB))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9db16493d0499b3ebb406ab99bcd3ec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_RGBA))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae21bc8983b9adc8737576e2310699e46',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGB_to_U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca43d271095552f4883a92be2337abc5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a039e8fb510667c391cd2496129f9db72',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fefa49443b86d3aa08f30600b88776d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_RGBDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aacf23a144ca64afb35605048f548e171',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_YUYVDataset_to_NVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a474eff7abde52f8919d360e97a5a6528',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEColorConvertFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), ColorConvert_NVDataset_to_YUVDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee22bf23cae613d7e1d4468aac54a384',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEComparisonFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa643d294eb56664e86678fbaa5e7dfcd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEComparisonFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fbbc6ba47c9616695a74e49a6006da3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEComparisonQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9229aa9b89889d07fec4216173548df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af758f199046ebad58251910e3b277f24',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::F32))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26cef6f0025cdae89b588be2a38a1450',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large3DShapes(), combine(params, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0882602497391f7ea2957759bea33e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae97cee943ff46fd29d63955becc9abd0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 5 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa23e286208bfcfd0542acb2e3a3cde8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 7 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a049ca13927a1331006561d8bc271b2a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f832e08caed0152bcfefc59ab1a2c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), framework::dataset::make(&quot;filter_width&quot;, { 3, 5, 7, 9 })), framework::dataset::make(&quot;filter_height&quot;, { 3, 5, 7, 9 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d46a2835e58f6bdec18d668358b6dae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee7d650bc059f8cf752b8188a80f5db1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a215e9f428d6042cf896a6378d28c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a234d3ee7abaa081cfaaa79c3c39d515b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad8cf961b025ad19bb7a33c3310630c1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab335aafdf19f5ee4db752fc8d19cf651',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa28d2cc5d04ff5315c274f3399af6239',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8fc2b202c6c2094566acc3a9834c7967',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5615640d2195ce7a42adde58479af189',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad901b433d9837ccbc813f45da6643a44',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af92744dbe82969aec7e036fd13ae6428',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a28c3d4bdd5b08adbcfbd2a65c3921133',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94d21f72977ed23fbc9c0a694d4bf098',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa09e77113a6eae93fabf04a17f7a476f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ba5002c3abe00c29ed121456da6bef8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), data_layouts_dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ee4589e93ea3eb2d81572abcb6ea802',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc2ea28e787202a1752ce6d1c438d87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a30b2256d66a274b9ff99d4792f62d1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a123f3c9d34e1f279e12afabff2fa2f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::DepthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a40d20c55414f101f51f295e3a17346a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerQuantizedToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerQASYMM8toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af13a05bcf6a9ae1841c7fd6bd5fbc659',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToF32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerQASYMM8toF32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5fd6f5349d587332e95bd5a2b6a7e590',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cd61f46b301649d311e78770c2b92fc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toU16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70fea1138041dba48a52aecb42934ee6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47da6f70838d74c07313856701590369',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS16Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9c2577204a8c1d367f78122cdcc5c7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acd91ebe4cb07dd64c87e758c5c36942a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9a114da0c4cfedaff1c8752d8985ad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aecbc9f84d3d7a3fb02d5721294fb6c13',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a882f99ff44ec40f3e0fd424b08ec7685',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0162d6ec6327d51d5885cd589a5d2c0f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU32Fixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU16toU32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1bdc4a70ab7575a4101c4894dc25ac4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b16bdb8af5c8d25cb9ce55cf48f30b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toU8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a16b15800359985e55e1dc30ca0e2c502',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetPrecommit))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a638d1efdb7f5896b39e5e2f555ba083d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS16toS32Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af24fb08f9369fc922a3b00b55ecdeae9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToQASYMM8Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a231caed2436e869e9831e4bd164ae817',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toQASYMM8Dataset), framework::dataset::make(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE })), DepthConvertLayerZeroShiftDataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af740c2dca174a5646e5f080d38c5bd5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdb5c0322f9f4913b34a1d530191b393',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3e9635308882708965279d57acf36d8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2912828c04156a03cfbc2104cd17794e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d620fd7ab6d7567bc1e7282c18ceceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedSmall, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a807b97bf268bd3f62e4130c2fba59f26',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedLarge, NEDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e29fb173cbf750f21519e96ea1c1504',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a556543832f6c440befe4350afef94218',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedSmall, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44181e95ded05bc9dfae65e560a129a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunOptimizedLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77380f19fffc5978baf99cf01c239736',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, 10) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf47d2942c58c23e95ed52a373192004',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e420b1b657e0a7b95690eb9b8cf64d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a736be2ec7fc4bca1e4311831255323',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDerivativeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad09873d1949491bf8bd980112558c9de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDerivativeFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62e1bb9b34535f71f3c27e73e3e4e8f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a52aa765d9eb0a5f9189cd7f8ef6d4692',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDilateFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85be6f9f94ae0f38dd13af6d4e2fdd1c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1fa6c21cc8e5bb118403f692a81c56a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af28ab49b5bab61e9ab1d819b2bc076',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc3a85b9d52fe87d03bb1e6654ab1732',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMDilatedConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true })), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;ActivationLayerInfo&quot;, ActivationLayerInfo())))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae561337cc8bb1a4a20cb02a96073b77d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ad955e77399b81847348a8186e1c3df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEDirectConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_f32_nightly, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a802d86d0690d1662fe921d0cbf22b296',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acfd0bd108df22d72f7d8cbe148747bb6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseDivisionFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8094f64d00e0edc24e29491d937e292f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEExpLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5975b287ee1162cbf72c6c3d0a53759',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac77f9e2b239221f68eb6b758a69a2896',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ff4f77afdf6250913b204da84ba4971',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseMaxQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78d0160e680ef164ace1c5eeae4c8396',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3d315d475f71efb169360e5a3e6a34ee',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMaxFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef4853a5cf35f352884efb830d5c9680',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b088314a449b9906c3dca1425995120',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7537bbf42c3e51f56314b8a2b6d15090',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseMinQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30647a8ae5ed30e427fe363a464f37fa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78e3e5a0be2d9dc8b2c553fc948c6486',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinBroadcastFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), ElementwiseMinFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5085fbb4e2cb7bcd0a73d23a77f119f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89c73e2864e97a7c40c932072abd204b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01070b5b14fcf1f8a7a470e7d1a02d8f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5dd25eb68a9057a2959d699ee2055298',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabb74b615e3dc6bcaaaa83889739367d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffQASYMM8Dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(5.f/255.f, 20) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255.f, 10) })), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 5) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c0efec1f9ab32b14febc1f8fdd69bb3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3930b4c56faa3a82c13f80173628046',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49881776abd59fa083e1b66d03074b2c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), ElementwiseSquaredDiffFP32Dataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae5a7ef95f8d2e1c6af7fefae6d479fe',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab8f6bccec69685cdee25c444ff892c29',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEEqualizeHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a145f153b6b7d1ad015e2b6d1b7614516',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6eb086473521c8c6a2bbb68c3704632',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEErodeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0269cc469469d5fcc6442414f1f52f7d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53a18bca49b1657cb5782f82b5c93725',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFastCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeImageFiles(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;, { false, true })), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5eb9bb92570911ada4ecd786d5efa55e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72ade4c7941f7fa60108246b9b334d66',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a238579da703bc6097512b25055470277',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdb6b6ccb738038e2a2d5027069c0fff',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36e6031840dd2ee13e3942435811aeea',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebe70d0179ffb26d720aac0fe54fbc67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd959c9babbd28ff675c63615d778204',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54280e5b9cfc25d02c0ef4693b5371',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEFullyConnectedLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/256.f, 10) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e979553ba3d6178cf71d30931dba292',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGatherFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a980a57cf5081d712a6075d6602bbb9b7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7bc85196e47c81fb857b079cd10b0029',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03df83be57f3c54fc94bae8cc9022aec',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30bbfdd56bfb0c123267b9d53686ac23',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGatherFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGatherDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afad045c7bea57340a4532a78a6b04e7c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5245fa0aa14470e9c661b365648d91d3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d2a0247954b6e925131a50bbdb286cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79e1e86a4d4af380674e257bafe5930b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian5x5Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a746741b32c007abd7b1866706882ca5d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, small_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa06410a2b3342ef0d51c93c3345dd6c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, NEGaussianPyramidHalfFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad95c94f4a0612e60257d4894537da362',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f8f5f8dca67732536f93a7a8d1b57ed',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b082d3a9d89e485ae21fb4bfcb9ded6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(), framework::dataset::make(&quot;ReshapeWeights&quot;, { true, false })), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acacfa792d9ac8cc563f34f192c9fdf7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_S8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff14b2b9d2c0f1013bcbecc88d620a8d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMAssemblyFixture_U8, framework::DatasetMode::PRECOMMIT, data_matrix_multiply)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93026a891d0bb12665dbb384891d33d6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d7d4577b68120a68311b290f8a43161',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55a1e7349177ab150a3a38d8553633f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a350e7fba54d695617b037438e0b898b3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7da696d9c523f45c29c942a0f72b877',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45bb19481b889579e877cfafd3709819',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bdd9302efbad44ab382fa8a43ffb73b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e090b82e1cce1d96b3aa4744f80a7b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a617ce9fcbf08ceacd60c53f4e454c6df',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunGlobalPooling, NEGlobalPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(GlobalPoolingLayerDataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a812b6ff1b40fc45c6378ad2a673dc0b8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af39b49688c1215778a69d9ac852342fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHarrisCornersFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a0123386e6cfa721be6fc6ac7bd5507',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05381a8d934fca8860431cacb78f48b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHistogramFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa05f45417fa1f04644246b2c64d5faa5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDescriptorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0abbec087553630b76284d3800c79602',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDescriptorFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeHOGDescriptorDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa42dd381882b75e11b8cd4e91e525640',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGDetectorFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(DetectionWindowStrideDataset, datasets::SmallHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07093aec31e6943b68365996603a2162',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGDetectorFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(DetectionWindowStrideDataset, datasets::LargeHOGDescriptorDataset()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a272cffdb5099bc64247c17ac957c9a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEHOGMultiDetectionFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a137ffe95a855b8179423f106d35699a0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEHOGMultiDetectionFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeHOGMultiDetectionDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;BorderMode&quot;, {BorderMode::CONSTANT, BorderMode::REPLICATE})), framework::dataset::make(&quot;NonMaximaSuppression&quot;, {false, true})))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29782b9f6f653159f72ea116fefd944c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args_small))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af766c13b011461fa84ff211ba977cd1b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a55f69c92eea255f3ff356b01efb8edc4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), conv_args))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a400e224c5e2d727654910544a469c2c6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ae1dd57105ef480bb4aa1f00d426808',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEIntegralImageFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a78f88f8fecf8e1ab4c0b08c00e44f0ae',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6143d11cb3df087ba5d0a21a335baa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;Axis&quot;, { 0, 1, 2 })), framework::dataset::make(&quot;Epsilon&quot;, { 1e-12 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c359bc464e9031b30f4b04ea933d950',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51da711ce9190bbbd3ef0ee3866109e5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_pyramid_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2147d72eef8b4f5143e1edea268f05f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Medium2DShapes(), datasets::BorderModes()), small_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace92772f1e03f70927d051966ba010de',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), large_laplacian_reconstruct_levels), formats))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0576bebb3e58638122902d2e4726de9f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125ee4e4c6346b94f367ca20d8b639f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aede7dc4d600a8b5e97e99230d5c0eb1d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NELSTMLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallLSTMLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;ProjectionOpt&quot;, { true, false })), framework::dataset::make(&quot;PeepholeOpt&quot;, { true, false })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac12a70129dcbf2e7657fbe44e3b6bee2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a793635d708ce3c14111e18c0c3c4c1bc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;MagnitudeType&quot;, { MagnitudeType::L1NORM, MagnitudeType::L2NORM })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab22172b75453f57b458b2089e9e33899',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2991a776e7d9afd05ce6c4b62abe630',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4dee97faf3f5b0b27bbe0f37753c9f5b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a288ea74e2c46321d9243dd0d62c8e789',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMedian3x3Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2717a3e83eb53f04462a3b678b9b06cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7e5e6e7c39d3fb71e5466ec8c7fb3f0',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abc98e26a94e14dd096065747ea3e8c50',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49261d124415dc138dd49ae9c446af7e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1daf2796ffd117f6effc98aabd9da3a8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae8ca77224eb2240d02268a2722380a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9eae0f8202c35e96131c7cf0261498b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31634f9b24e515cf65f11a0bc48595bb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENonLinearFilterFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;, { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4b65f8a6e4f1ba2e2ecd2d876f37a92',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a91374aa0717559e1a0eb0472d1653ba8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65c87118894df44b501efa9738d3dc15',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEOpticalFlowFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ade7af47876ed537de5a3431741d6d234',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEOpticalFlowFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeOpticalFlowDataset(), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbe86cea6f9226b4b19a72abcba4517',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f34ab9cd495b1067572e1a8e1fa4c73',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a26912647be60488228c287801c7fdacb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5755a3974ab240459dbbcc549748364f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::QASYMM8 })), PaddingSizesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38e5043d42ed927afc5bb5e31ca1795b',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3b4c759fa670f17f91897fa69500485',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U8))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a22615ad09912b710db264b02b06897fd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aab24d236496d1b55caad197ec591c8cd',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U16))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31c94981c6840e6732ef3e0d6d1bc292',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, PermuteParametersSmall *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7dc31a1236231cdfb5c40d990a38ecaa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPermuteFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, PermuteParametersLarge *framework::dataset::make(&quot;DataType&quot;, DataType::U32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3aca7b8dd427c7a78e479e41a7cb6a7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a826d3091a4d87dcc412b87bfccd712b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPhaseFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make(&quot;Format&quot;, Format::S16)), framework::dataset::make(&quot;PhaseType&quot;, { PhaseType::UNSIGNED, PhaseType::SIGNED })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f725602915f9a36862ea6ff4aff925e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a60fee647a75c9ef766fae0f41d4f14c5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa39faa5bc7636a7981279c09204fb4c7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45a9fdf5736081ef4cada3c6a13fefd1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeef7e78eea6da0668b136ced1176a734',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a3441aa92b954816ec3a2154b6ba1e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToU8Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a05f89ccd037778e4faae08db8a57c3eb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac089d4ab2011db4bc96f46c617362c62',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3a0f90a41ed20795d362db90913ca42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab38f2668572d3766460002cad2f12063',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9c5149638f83cdec624f15c992a1c87',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a8e207b93423f59931b89c0461915ab',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a869936fe653dfaf2cc28abdda8dad6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdc8de20e27ba531bfef776ecdface3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a051d3165eccbd35e75fa2fdb6385d244',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b784b3c67ae875ff7627e3a535dcac8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95230ffbed4068c3da024bec3f27b334',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73a6f7f4d28a884a3bd6831a27a720cc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToS16Fixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::S16)), framework::dataset::make(&quot;DataType2&quot;, DataType::S16)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027c9ed250173025e2469ad5d5818c69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a59c6093a849cb44df90025dea3366400',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afe68ff0cc80b6d68c2bd56a1dd330514',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac52b56b57d9dcfdb12e0df9da3eb5b75',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_unity))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaca42ec0ec6459356598dba527eaf06',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed966eb5c0c998ceed6fc0a11dc83848',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPixelWiseMultiplicationToF32Fixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType1&quot;, DataType::F32)), framework::dataset::make(&quot;DataType2&quot;, DataType::F32)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_other))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_ZERO)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a64f889f25742c68a48c1deb56c5cb8a9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() *framework::dataset::make(&quot;DataType&quot;, DataType::F32))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4c3db661cf6a5e3ea00cd46b2b1bb08',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFPSmall, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7eb88bebddf28f21dd82fbab03b3911',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make(&quot;DataType&quot;, DataType::F32))), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abf406c3edaf0ceb360c62bd22f34f0b6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8Small, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(2.f/255, 127), QuantizationInfo(7.f/255, 123) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02d81a1d003c172caca27914a3e88ceb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8))), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a681969f1363fe7b3c3fa093ad3e70e17',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca9f34f20d93371d38b959874911b9e9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEPriorBoxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f62c853c2b8e82caf5ad258cf644bc7',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adac4d6412039793c78768a4b19ff5062',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEQuantizationLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae778c61cba6e30d9eb5f2bd39f30a376',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make(&quot;DataType&quot;, DataType::U8), unsigned_start_dataset), unsigned_step_dataset), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo() })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4acf194b4c6177712943efe26984add4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38031f05f899860165e09807a12dbec5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), concat(axis_keep, axis_drop)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d4e5368e3811f133c76b7e0e09b87a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a33757b812693b98e83dc457dbebd90e1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReduceMeanQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(1.f/255, 0) })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a405fe8de208409c4aa79da3262c4475a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), Axises), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82ed02b3e2e324930a3eadae6c68701a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), Axises), ReductionOperations))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add7795c9169d031a565f331bdd9db01a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), Axises), ReductionOperations), QuantizationInfos))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9273d5381917b1f7d6562436d875aa83',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), Axises), ReductionOperations), QuantizationInfos))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7e59d7511e09055d4fae115f37b8329',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada151deb4d02b23f5d42640a555fcb39',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NERemapFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29dd396ea81ff2b20d1945cb72b3c58d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a32d10d3c62058cc25b4a8240b2c0db70',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int32_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125347c7f47be6ee9180256b36a6aff3',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4d9044681730a00c280a84b61ccdb77',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReorgLayerFixture&lt; int8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aabf65afb5f889e8b0645a2c1329c554d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada07f36b299d444952b3d0dcdcb21a47',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int8_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a49e992867d9f8049013d8ab3c540fe1a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture&lt; int16_t &gt;, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae49ad9e516d0152ee995fbfe707d9f49',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEReverseFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c60a80ece129435b23b15b67c9eebc',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReverseFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a83899bc10a0066dd76a4e8821dfab9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEReverseFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5179d211b87d8c1e650219c9288b2d67',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NERNNLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(datasets::SmallRNNLayerDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a86d4e83e51ce3c0f66f7113f38a98f59',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ac273b17946f393a00d55ec6e3caf4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31218e07765dc89e569f0c34d363f6a2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac043b0f8a5e546c0ef63fb8e98961b3c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;, { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfc3084245ae1ea417b65ac0bd340e18',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEScharr3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a846e80a2ae93606f798085d94842e21e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEScharr3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), datasets::GradientDimensions()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1448bbb80cef40371427c1ffb851ba54',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESelectFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(run_small_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac150b1a9621654a14533e1cefe3a4d4d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESelectFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(run_large_dataset, framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdfca8306422f71ff23cb2c13df66a4f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESliceFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a655937a932170893d59fc242bd3036f5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bf7e6f323df630eb6c25ce6f42a9e53',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed4429269fca49bdfc415fd41270da89',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a065f6d5fc454c7f38cefe407efd418b9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel3x3Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef878c5ff7772c3e9374c9b275fe3a04',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel3x3Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8254470b103e954dd46db6e61d3b0904',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5a9a6cf4c1d994d6a4c60982aeeb174',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99a9607a7159ac9a5af98e1d340f4ab5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel5x5Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac226e287f6da027ac6f233921b12effa',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel5x5Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae09ed9ec7e899dfb944b44ba065953c4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97f2c612f312fc58926e484211c37dde',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::1)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acc4cec9275d172924b8360d547ffc8f8',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESobel7x7Fixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1edd0c3d8d985788946d0990d2b76645',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESobel7x7Fixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;GradientDimension&quot;, GradientDimension::GRAD_XY)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a169ffd151b993403c838bda77e8c7383',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c0892ce449c4c41c8163d6e4b485f97',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2cd1d5c891efd016370b418b5cd0c4c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f })), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae6510c6b8ae4c6f317b1431b697157af',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680518b740c8743788556f9893b25093',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.f }))), framework::dataset::make(&quot;Axis&quot;, { 1, 2, 3 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9aac797d850ef296073aa3a3fd76769d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), combine(framework::dataset::make(&quot;QuantizationInfo&quot;, { QuantizationInfo(0.5f, -10) }), framework::dataset::make(&quot;Beta&quot;, { 1.0f, 2.0f }))), framework::dataset::make(&quot;Axis&quot;, { 1 })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af9a3a038164cc91eddceca8c400fb5d2',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NESplitFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aef740cb01ac3e92bee00901b559689ce',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NESplitFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSplitDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a64fbba9d6f542c51a1141a37fb1bcb',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_1d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3750e8e12b46bd668ffe1152a617ebc9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3fdbb201eed4a0728680f260b23f7151',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8efa55afa0ed489c22ce38c25e1c5115',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_1d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f4e7aab72484f9ae70e89f738b186ad',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_2d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e128e510c6d66e99ad6d29558cc488a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a102a26793c2eef050eed78e81a34e1c9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abba71e62641186cfe1301d76367e5379',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_2d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3a2a6e43ed25a4d97583c1684f61db4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_3d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac68b16a654ceed0d4e6bd2f7bccba69e',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7707b11a75b89eb236d2ebfc5630cc32',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21ba66424d5f58e7afe056d02a1e18c1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_3d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5341721b3a824f9aff33009e698c5aac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::ALL, combine(combine(shapes_4d_small, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e1c44e7075da36284e3ea7217e9a505',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; int &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S32 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a18c0a0e5b77c12cf2bc72f10718e7d42',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; short &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S16 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab998ade9d03b437ced520520ae476279',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStackLayerFixture&lt; char &gt;, framework::DatasetMode::NIGHTLY, combine(combine(shapes_4d_large, framework::dataset::make(&quot;DataType&quot;, { DataType::S8 })), n_values))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d566ff2f2fd2cece851836f2505d86f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEStridedSliceFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c6371511a75b24a1e081852fb4733db',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEStridedSliceFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b7f8dab340a565d82a6c121947dac69',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af6ae6e4feb2a289bf9a64025bfa9e571',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeU8, NETableLookupFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9837ce267337cee4f6c46c1e25fa88ba',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmallS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af53ab100207675396c546a91a9521311',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLargeS16, NETableLookupFixture&lt; int16_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::S16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38106a98efdc4e8f9ff90339addfd557',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abfe24bb2ef8c8ecd4f1188099f35af10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, ThresholdFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a730fb5bf5e6579700fc00e33c637c4b1',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETileFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa965239f794b11a0e3df8229a7b76bc4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETileFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a920ac91f1190d14e10419822e92b46a4',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETileFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), MultiplesDataset))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae283c83eb95604027b72e2c96ec3c15d',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aada3684542231567ddb1bb7762e3ed57',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adef9ef7ac03b465bf2b052c432917a02',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ad862b84b5de8c66eb2b5a4f7381c10',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint16_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U16)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23e3a57e90973a7fc1089807cda49ac9',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b12655db93d875e34d0e7dd78f285bf',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture&lt; uint32_t &gt;, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae5beab6e512dd2f8205096e875109492',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2) })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac36385f651dc7146da8f8cf38dd9aae5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0cc9aa2b992d30faa93836f1e5ed5749',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302d5bc9c311e27f605fed818cfe1a3a',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acaab998da6cd1cdd17563621365bb95c',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf8b75b2ed7f99e32fead5970ffc287f',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5921d4278edecb48a6bea0ec35d0a1a6',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a95c022778b396ed59b33bd09c60b9cac',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a84f6d34d13c1d1047d51dea72fa91f20',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a789c0705a32618491b1283987a0284a5',1,'arm_compute::test::validation::FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))']]],
+  ['fixture_5ftest_5fcase',['FIXTURE_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a41c4774d0355ab92b88278a64759a8fb',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, CLBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4c990314741e327ba3e47997af38485',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(WeightsRetention, CLWeightsRetentionFixture, framework::DatasetMode::NIGHTLY)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab692d9b34d6b0d64c2ec3aa1c524e296',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerSimpleWithinFunctionLevel, GCBlobMemoryManagerSimpleWithinFunctionLevelFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07437288cc3cee452353b8ee4bbb9a8d',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure, GCBlobMemoryManagerReconfigureFixture, framework::DatasetMode::ALL)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9bfe8fb601740e5c3ce153bba71e925',1,'arm_compute::test::validation::FIXTURE_TEST_CASE(BlobMemoryManagerReconfigure2, GCBlobMemoryManagerReconfigure2Fixture, framework::DatasetMode::ALL)']]],
   ['flatten_5flayer',['flatten_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa4004cfdf19063051ee8a13c923d0cef',1,'arm_compute::test::validation::reference::flatten_layer(const SimpleTensor&lt; T &gt; &amp;src, const TensorShape &amp;shape_flatten)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#adae5cd655f70e8d16aa37e2131228a39',1,'arm_compute::test::validation::reference::flatten_layer(const SimpleTensor&lt; float &gt; &amp;src, const TensorShape &amp;shape_flatten)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#abb52b11c9ad45bb81b2c23f87ca39d7f',1,'arm_compute::test::validation::reference::flatten_layer(const SimpleTensor&lt; half &gt; &amp;src, const TensorShape &amp;shape_flatten)']]],
   ['flattenlayer',['FlattenLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml#a9122dc9cbefd8f81b092eadeae658202',1,'arm_compute::graph::frontend::FlattenLayer']]],
   ['flattenlayernode',['FlattenLayerNode',['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#aa76e220e4b8ee746b75c6c1aebe955f7',1,'arm_compute::graph::FlattenLayerNode']]],
   ['flip',['flip',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a4333016b04c798f769404aad7683ec3d',1,'arm_compute::PriorBoxLayerInfo']]],
   ['flip_5fweights',['flip_weights',['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a50067fcfca2bd3a1cf53825d330a9b2f',1,'arm_compute::CPPFlipWeightsKernel']]],
+  ['float_5fdist',['float_dist',['../namespacearm__compute_1_1test_1_1validation.xhtml#a57bd2cc25169b2c2bb61569471eeafb7',1,'arm_compute::test::validation']]],
   ['float_5fto_5fstring_5fwith_5ffull_5fprecision',['float_to_string_with_full_precision',['../namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2',1,'arm_compute']]],
   ['floatflip',['FloatFlip',['../minmaxloc_8cl.xhtml#a061903419fb2aff60da86e674c76b96e',1,'FloatFlip():&#160;minmaxloc.cl'],['../namespacearm__compute.xhtml#ad1e1cc57e3e2ae0ea65d607f6d6312f8',1,'arm_compute::FloatFlip()']]],
   ['floor_5flayer',['floor_layer',['../floor_8cl.xhtml#af0d15673a262fbeaea48ea912573f5d5',1,'floor_layer():&#160;floor.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6c81be98812b8cb462be45d9e3d21464',1,'arm_compute::test::validation::reference::floor_layer(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4c4d49f01ccc1f08a454e2f7d7d02984',1,'arm_compute::test::validation::reference::floor_layer(const SimpleTensor&lt; half &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0aa1e471728da9ae3dd19f50fa4ef1b0',1,'arm_compute::test::validation::reference::floor_layer(const SimpleTensor&lt; float &gt; &amp;src)']]],
   ['floor_5fto_5fmultiple',['floor_to_multiple',['../namespacearm__compute.xhtml#a23062881efd3855d61bae58f330c97db',1,'arm_compute']]],
   ['foldl',['foldl',['../namespacearm__compute_1_1utility.xhtml#a043270c1f50c73bf9f91fcc4570ccf0c',1,'arm_compute::utility::foldl(F &amp;&amp;, T &amp;&amp;value)'],['../namespacearm__compute_1_1utility.xhtml#a9a9639bdb9769d758f0a582ba27c4e63',1,'arm_compute::utility::foldl(F &amp;&amp;func, T &amp;&amp;initial, U &amp;&amp;value, Us &amp;&amp;... values) -&gt; decltype(func(std::forward&lt; T &gt;(initial), std::forward&lt; U &gt;(value)))'],['../namespacearm__compute_1_1test.xhtml#a1ebbb23b0094d47c51226d58e17e6447',1,'arm_compute::test::foldl(F &amp;&amp;, const T &amp;value)'],['../namespacearm__compute_1_1test.xhtml#ad933f996ccb22854ae56dd86de8cbbfe',1,'arm_compute::test::foldl(F &amp;&amp;func, T &amp;&amp;value1, U &amp;&amp;value2) -&gt; decltype(func(value1, value2))'],['../namespacearm__compute_1_1test.xhtml#a92a5aaf033153828aef41d3354c204d9',1,'arm_compute::test::foldl(F &amp;&amp;func, I &amp;&amp;initial, T &amp;&amp;value, Vs &amp;&amp;... values)']]],
+  ['for',['for',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784',1,'arm_compute::test::validation']]],
   ['for_5feach',['for_each',['../namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064',1,'arm_compute::utility::for_each(F &amp;&amp;)'],['../namespacearm__compute_1_1utility.xhtml#a1e384f81bb641de61df2800a432c51fe',1,'arm_compute::utility::for_each(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;... args)']]],
   ['for_5feach_5ferror',['for_each_error',['../namespacearm__compute_1_1detail.xhtml#a94a5ba47c282279f5279617b961b8599',1,'arm_compute::detail::for_each_error(F &amp;&amp;)'],['../namespacearm__compute_1_1detail.xhtml#a7955712fcb1027a92679cf656e9394cb',1,'arm_compute::detail::for_each_error(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;... args)']]],
   ['force_5ftarget_5fto_5fgraph',['force_target_to_graph',['../namespacearm__compute_1_1graph.xhtml#ac5712330ef2d40408efb4eae5665dc6e',1,'arm_compute::graph']]],
   ['format',['format',['../classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4',1,'arm_compute::ITensorInfo::format()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7047a267776924cf166c301310f03a2c',1,'arm_compute::MultiImageInfo::format()'],['../classarm__compute_1_1_pyramid_info.xhtml#a7047a267776924cf166c301310f03a2c',1,'arm_compute::PyramidInfo::format()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::SubTensorInfo::format()'],['../classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::TensorInfo::format()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::CLAccessor::format()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::GCAccessor::format()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4',1,'arm_compute::test::IAccessor::format()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::Accessor::format()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db',1,'arm_compute::test::SimpleTensor::format()']]],
-  ['forward_5fdescriptors',['forward_descriptors',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a5edbd8a4a1b75060bb3b49bc0ba2c6b0',1,'arm_compute::graph::INode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ActivationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BatchNormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BoundingBoxTransformLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ChannelShuffleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConcatenateLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConstNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DeconvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DummyNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::EltwiseLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FlattenLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FullyConnectedLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::GenerateProposalsLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::InputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::OutputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PadLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PermuteLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PoolingLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PriorBoxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReorgLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReshapeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ResizeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ROIAlignLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SliceLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SoftmaxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SplitLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::UpsampleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::YOLOLayerNode::forward_descriptors()']]],
+  ['forward_5fdescriptors',['forward_descriptors',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a5edbd8a4a1b75060bb3b49bc0ba2c6b0',1,'arm_compute::graph::INode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ActivationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BatchNormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::BoundingBoxTransformLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ChannelShuffleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConcatenateLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_const_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConstNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DeconvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DepthwiseConvolutionLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DetectionOutputLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_dummy_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::DummyNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::EltwiseLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FlattenLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::FullyConnectedLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::GenerateProposalsLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_input_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::InputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizationLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::NormalizePlanarYUVLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_output_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::OutputNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PadLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PermuteLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PoolingLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::PriorBoxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReorgLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ReshapeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ResizeLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::ROIAlignLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SliceLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SoftmaxLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::SplitLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::UpsampleLayerNode::forward_descriptors()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b',1,'arm_compute::graph::YOLOLayerNode::forward_descriptors()']]],
   ['forward_5ftail',['forward_tail',['../classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a3d1067259b70c7d8753be5062a4b9f6d',1,'arm_compute::graph::frontend::IStream']]],
   ['fp16_5fsupported',['fp16_supported',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a4f51d241825bd6710fe81b581068ba1e',1,'arm_compute::CLKernelLibrary::fp16_supported()'],['../namespacearm__compute.xhtml#a2ad3c9492d4158b574a89ab798d74e16',1,'arm_compute::fp16_supported()']]],
   ['fp_5fmixed_5fprecision',['fp_mixed_precision',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a501521734ce4f9d81d91d0c7e35dcfe9',1,'arm_compute::GEMMInfo']]],
diff --git a/documentation/search/functions_6.html b/documentation/search/functions_6.html
index c506123..a78ec13 100644
--- a/documentation/search/functions_6.html
+++ b/documentation/search/functions_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_6.js b/documentation/search/functions_6.js
index 7a2be39..c7a01dc 100644
--- a/documentation/search/functions_6.js
+++ b/documentation/search/functions_6.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['gather',['gather',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f80b30bc2860eaccce94e4bf5f088b3',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad5eef4dcc5f9cdbcdea67edd255ba51b',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a47fe378d33f576c6aca07cfdcddbfc75',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa2a75a353eaba22c2b78981f2b6864f5',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; uint16_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad68b47495b45117a1b6a4357465beea9',1,'arm_compute::test::validation::reference::gather(const SimpleTensor&lt; uint8_t &gt; &amp;src, const SimpleTensor&lt; uint32_t &gt; &amp;indices, uint32_t actual_axis)']]],
   ['gaussian1x5_5fsub_5fx',['gaussian1x5_sub_x',['../gaussian__pyramid_8cl.xhtml#ae8b283818e0ddb9edf271668d2682dc3',1,'gaussian_pyramid.cl']]],
   ['gaussian3x3',['gaussian3x3',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a08625a89b22993b65e923139bdf3b9e1',1,'arm_compute::test::validation::reference::gaussian3x3(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0bf5cc0e54ac74aee07c3034844a27f8',1,'arm_compute::test::validation::reference::gaussian3x3(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['gaussian5x1_5fsub_5fy',['gaussian5x1_sub_y',['../gaussian__pyramid_8cl.xhtml#afa433ed067b24c37933229beb846b34b',1,'gaussian_pyramid.cl']]],
@@ -55,15 +56,16 @@
   ['gctensorhandle',['GCTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a137d77ac8b95bbf53389dab5be4377d0',1,'arm_compute::graph::backends::GCTensorHandle::GCTensorHandle(const ITensorInfo &amp;info)'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#aa2ccef9eecca1a7c23732ac31e7a238c',1,'arm_compute::graph::backends::GCTensorHandle::GCTensorHandle(GCTensorHandle &amp;&amp;)=default']]],
   ['gctensorshiftkernel',['GCTensorShiftKernel',['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#ab622a0c2dba7d8b8059bc5049f48f5ff',1,'arm_compute::GCTensorShiftKernel::GCTensorShiftKernel()'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a52336bb96e043a63aaea6d9c4f8a6286',1,'arm_compute::GCTensorShiftKernel::GCTensorShiftKernel(const GCTensorShiftKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#aa800be3e1bc30d71ec2d607a358deb6f',1,'arm_compute::GCTensorShiftKernel::GCTensorShiftKernel(GCTensorShiftKernel &amp;&amp;)=default']]],
   ['gcweightsreshapekernel',['GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a29432f2725083d73e198001a805bb862',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel()'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a1ec5c943f3e57a34b0a496b4c8fca652',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a42b0d311c42f3129de3c620756efb5ae',1,'arm_compute::GCWeightsReshapeKernel::GCWeightsReshapeKernel(GCWeightsReshapeKernel &amp;&amp;)=default']]],
-  ['gemm',['gemm',['../namespacearm__gemm.xhtml#a79454912ae009a0344ddc586e0b72741',1,'arm_gemm::gemm()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa8bf3ead30905547609084db58ee70de',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, const SimpleTensor&lt; T &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acc8055ed1ae62ec87a4b389047c1464a',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, const SimpleTensor&lt; float &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae62fed24d8b0bf2e0b74d81bbe92df38',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, const SimpleTensor&lt; half &gt; &amp;c, float alpha, float beta)']]],
-  ['gemm_3c_20float_2c_20float_20_3e',['gemm&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a498110205d154f98c95c59d65189e529',1,'arm_gemm']]],
-  ['gemm_5fimplementation_5flist',['gemm_implementation_list',['../namespacearm__gemm.xhtml#a595357d74cf2b18dd37825629061d629',1,'arm_gemm']]],
-  ['gemm_5fimplementation_5flist_3c_20float_2c_20float_20_3e',['gemm_implementation_list&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ad8f41ef4bb13f58bfa1df8459e627ddf',1,'arm_gemm']]],
+  ['gemm',['gemm',['../namespacearm__gemm.xhtml#a2d35c3fce4e08e461199c4cdc6e5f613',1,'arm_gemm::gemm()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa8bf3ead30905547609084db58ee70de',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, const SimpleTensor&lt; T &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#acc8055ed1ae62ec87a4b389047c1464a',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, const SimpleTensor&lt; float &gt; &amp;c, float alpha, float beta)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae62fed24d8b0bf2e0b74d81bbe92df38',1,'arm_compute::test::validation::reference::gemm(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, const SimpleTensor&lt; half &gt; &amp;c, float alpha, float beta)']]],
+  ['gemm_3c_20float_2c_20float_20_3e',['gemm&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ad887120a5143bdeb8b661034f2a1089d',1,'arm_gemm']]],
+  ['gemm_5fimplementation_5flist',['gemm_implementation_list',['../namespacearm__gemm.xhtml#acddaad8ff32456a845746feeb2865bde',1,'arm_gemm']]],
+  ['gemm_5fimplementation_5flist_3c_20float_2c_20float_20_3e',['gemm_implementation_list&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a60b1162856ab084a3588fc2d5fdec539',1,'arm_gemm']]],
   ['gemm_5finterleave_5f4x4',['gemm_interleave_4x4',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1c7a185c57e14305617f6d5a414cdaea',1,'arm_compute::test::validation::reference']]],
   ['gemm_5finterleave_5fblocked',['gemm_interleave_blocked',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a10d3d399b4d9f8f031db4cab7cf1d5a6',1,'arm_compute::test::validation::reference::gemm_interleave_blocked(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out, int int_by, int block, bool transposed)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a1f1a4edb3071e8adb00bd748211954f2',1,'arm_compute::test::validation::reference::gemm_interleave_blocked(const SimpleTensor&lt; uint8_t &gt; &amp;in, SimpleTensor&lt; uint8_t &gt; &amp;out, int int_by, int block, bool transposed)']]],
+  ['gemm_5freshape_5flhs_5fmatrix',['gemm_reshape_lhs_matrix',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7da8e015c6426ba7a9d756d3cd12e248',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae9af4cb54790f494bf6403a522ee50ee',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; int &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af0c4372fbbdd64fdcacb7a5ee04f8f4a',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; short &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a24b8e6a6c01dc309d0f4e6c7b882c9f0',1,'arm_compute::test::validation::reference::gemm_reshape_lhs_matrix(const SimpleTensor&lt; char &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMLHSMatrixInfo &amp;lhs_info)']]],
+  ['gemm_5freshape_5frhs_5fmatrix',['gemm_reshape_rhs_matrix',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af33c441c06448d09c4562780d09f5f6f',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; T &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4347e8d79fd2976ada851fb08d8cb35c',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; int &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a02244b4489fc1f1f15c7f62ff65c2855',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; short &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aad4b2a5e867463dae62b25f4f3ab2274',1,'arm_compute::test::validation::reference::gemm_reshape_rhs_matrix(const SimpleTensor&lt; char &gt; &amp;in, const TensorShape &amp;output_shape, const GEMMRHSMatrixInfo &amp;rhs_info)']]],
   ['gemm_5ftranspose_5f1xw',['gemm_transpose_1xW',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5cc178cdce0a90f66bba02b5e985f1ad',1,'arm_compute::test::validation::reference']]],
-  ['gemmimpl_5fgemv_5fbatched',['GemmImpl_gemv_batched',['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#aa3b4552ba22db7aef1c05c1f4a78ff7d',1,'arm_gemm::GemmImpl_gemv_batched']]],
-  ['gemmimplementation',['GemmImplementation',['../classarm__gemm_1_1_gemm_implementation.xhtml#ac369d460b7fda2a1c76879150190d21c',1,'arm_gemm::GemmImplementation']]],
+  ['gemmhybrid',['GemmHybrid',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a67f91182afb2b1092518637116562440',1,'arm_gemm::GemmHybrid::GemmHybrid(GemmHybrid &amp;)=delete'],['../classarm__gemm_1_1_gemm_hybrid.xhtml#a9e9f8c1982f7144528bb6d01af482a13',1,'arm_gemm::GemmHybrid::GemmHybrid(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['gemminfo',['GEMMInfo',['../classarm__compute_1_1_g_e_m_m_info.xhtml#ae70403792b9c2d7bdb0c57b5258b2efd',1,'arm_compute::GEMMInfo::GEMMInfo()'],['../classarm__compute_1_1_g_e_m_m_info.xhtml#ad2970ee70159d4136762677c2ac9b645',1,'arm_compute::GEMMInfo::GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d=0, bool reinterpret_input_as_3d=false, bool retain_internal_weights=false, GEMMLowpOutputStageInfo gemmlowp_output_stage=GEMMLowpOutputStageInfo(), bool fp_mixed_precision=false)']]],
   ['gemminterleaved',['GemmInterleaved',['../classarm__gemm_1_1_gemm_interleaved.xhtml#add13963d432a1937370721fa61755b9c',1,'arm_gemm::GemmInterleaved::GemmInterleaved(GemmInterleaved &amp;)=delete'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#aec95ac91ca276b1ad8baf91520c0306f',1,'arm_gemm::GemmInterleaved::GemmInterleaved(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['gemmlowp',['gemmlowp',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af18f21173e19d772347089a2839351b8',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; T2 &gt; &amp;a, const SimpleTensor&lt; T2 &gt; &amp;b, TensorShape shape_c)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae98f7881ffb0ec70363b1e58f3ffff26',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; int8_t &gt; &amp;a, const SimpleTensor&lt; int8_t &gt; &amp;b, TensorShape shape_c)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab15d9a14f95a70cefeaccb69a471d461',1,'arm_compute::test::validation::reference::gemmlowp(const SimpleTensor&lt; uint8_t &gt; &amp;a, const SimpleTensor&lt; uint8_t &gt; &amp;b, TensorShape shape_c)']]],
@@ -71,22 +73,21 @@
   ['gemmlowp_5foutput_5fstage',['gemmlowp_output_stage',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a11d8f855e323a8396fe6944edcef4238',1,'arm_compute::GEMMInfo']]],
   ['gemmlowp_5fquantize_5fdown_5fint32_5fto_5fuint8_5fscale',['gemmlowp_quantize_down_int32_to_uint8_scale',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a32a9b5d6bd895eb4a431ed762a6891c1',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;bias, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0563116df3cccec27da440428c33be03',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; int32_t &gt; &amp;a, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff1df000a6579a92f6b98716d41b339f',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; int32_t &gt; &amp;a, const SimpleTensor&lt; int32_t &gt; &amp;b, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a108287f3fa07031a58de6cd4b62f000b',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift)']]],
   ['gemmlowp_5fquantize_5fdown_5fint32_5fto_5fuint8_5fscale_5fby_5ffixedpoint',['gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a43a9895cb024f65fd294a76b51a16092',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, const SimpleTensor&lt; T &gt; &amp;bias, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a888efca762d4f8630e32ed6463c307c2',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; int32_t &gt; &amp;a, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a484883f5b7128e47bbb309fe69e2dc9e',1,'arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; int32_t &gt; &amp;a, const SimpleTensor&lt; int32_t &gt; &amp;b, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)']]],
-  ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml#a0cb6cb7fbb8f763ccf8410b01c57d762',1,'arm_gemm::GemmNative::GemmNative(GemmNative &amp;)=delete'],['../classarm__gemm_1_1_gemm_native.xhtml#ad9f30861e60cb3963a8a68ff4a80815b',1,'arm_gemm::GemmNative::GemmNative(const CPUInfo *ci, const unsigned int M, const unsigned int N, const unsigned int K, const unsigned int nbatches, const unsigned int nmultis, const Tr beta)']]],
+  ['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml#a0cb6cb7fbb8f763ccf8410b01c57d762',1,'arm_gemm::GemmNative::GemmNative(GemmNative &amp;)=delete'],['../classarm__gemm_1_1_gemm_native.xhtml#a79e00ddcc949cd51d2eb5db800b82c4f',1,'arm_gemm::GemmNative::GemmNative(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['gemmreshapeinfo',['GEMMReshapeInfo',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#aee6f5a043173c4d51c11a54db8e0f519',1,'arm_compute::GEMMReshapeInfo::GEMMReshapeInfo()'],['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a6485163a66e22c416abc1021b40b6160',1,'arm_compute::GEMMReshapeInfo::GEMMReshapeInfo(int m, int n, int k, int mult_transpose1xW_width=1, int mult_interleave4x4_height=1, int depth_output_gemm3d=0, bool reinterpret_input_as_3d=false)']]],
   ['gemvbatched',['GemvBatched',['../classarm__gemm_1_1_gemv_batched.xhtml#ab4a4a43810baddb96b202dfc569765a3',1,'arm_gemm::GemvBatched']]],
-  ['gemvnativetransposed',['GemvNativeTransposed',['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a59c738596a028d0ec26a9eaabf4d4d75',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(GemvNativeTransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a7530bdf8064d4d4741e98682a6d2b198',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(const CPUInfo *ci, const unsigned int N, const unsigned int K, const unsigned int nmultis, const Tr beta)']]],
-  ['gemvpretransposed',['GemvPretransposed',['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a1721e8ac2ad69c15d7c13a063d4c00c4',1,'arm_gemm::GemvPretransposed::GemvPretransposed(GemvPretransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a6fe4c9494706418764f975aa2bdfb5bf',1,'arm_gemm::GemvPretransposed::GemvPretransposed(const CPUInfo *ci, const unsigned int N, const unsigned int K, const unsigned int nmultis, const bool trB, const Tr beta)']]],
+  ['gemvnativetransposed',['GemvNativeTransposed',['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a59c738596a028d0ec26a9eaabf4d4d75',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(GemvNativeTransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#af355ef8bb632c046199c6285533750e9',1,'arm_gemm::GemvNativeTransposed::GemvNativeTransposed(const GemmArgs&lt; Tr &gt; &amp;args)']]],
+  ['gemvpretransposed',['GemvPretransposed',['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a1721e8ac2ad69c15d7c13a063d4c00c4',1,'arm_gemm::GemvPretransposed::GemvPretransposed(GemvPretransposed &amp;)=delete'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a8dca5a76de1711aa0d39bf892b7ca2c9',1,'arm_gemm::GemvPretransposed::GemvPretransposed(const GemmArgs&lt; Tr &gt; &amp;args)']]],
   ['generate_5fconvolver',['generate_convolver',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel']]],
   ['generate_5frandom_5fkeypoints',['generate_random_keypoints',['../namespacearm__compute_1_1test.xhtml#a6fca44ec6b8d63994a8b16012a73f666',1,'arm_compute::test']]],
   ['generate_5frandom_5freal',['generate_random_real',['../namespacearm__compute_1_1test.xhtml#a000a9b9acb976222ee72275cf8852a3f',1,'arm_compute::test']]],
-  ['generate_5frandom_5frois',['generate_random_rois',['../namespacearm__compute_1_1test.xhtml#ac7324cc960068b65c558b7d25dfe2914',1,'arm_compute::test']]],
   ['generateproposalsinfo',['GenerateProposalsInfo',['../classarm__compute_1_1_generate_proposals_info.xhtml#a00edeeb4822422b6b7095d5aeb68fc39',1,'arm_compute::GenerateProposalsInfo']]],
   ['generateproposalslayer',['GenerateProposalsLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_generate_proposals_layer.xhtml#a19e3ec9ef1eff753af974d946e85a860',1,'arm_compute::graph::frontend::GenerateProposalsLayer']]],
   ['generateproposalslayernode',['GenerateProposalsLayerNode',['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#a28e3681ca0d5eea6bfdda80511bbc584',1,'arm_compute::graph::GenerateProposalsLayerNode']]],
   ['get',['get',['../classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa',1,'arm_compute::CLKernelLibrary::get()'],['../classarm__compute_1_1_c_l_symbols.xhtml#ac3d2ed16df8334b183d76d8a82dbf70f',1,'arm_compute::CLSymbols::get()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8',1,'arm_compute::GCKernelLibrary::get()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a40a46217cd83c9fb540e1fed00973f5d',1,'arm_compute::gles::NDRange::get()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7f58ff2ada353eeba9aef78b696faa0d',1,'arm_compute::gles::NDRange::get() const'],['../classarm__compute_1_1_pixel_value.xhtml#a66c4c1f8b1962d71162d7ac0b3ef65bc',1,'arm_compute::PixelValue::get(uint8_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a5a167d63f02bc4988e688f34a32b599b',1,'arm_compute::PixelValue::get(int8_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a2fc59f298e3c9452086f525479458400',1,'arm_compute::PixelValue::get(uint16_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#adc9730a5794778778c9290d824169856',1,'arm_compute::PixelValue::get(int16_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a951fd574457b3c1d973bab27852497bf',1,'arm_compute::PixelValue::get(uint32_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#ab70f4f8cb3cdca635ea5b663efdf58e4',1,'arm_compute::PixelValue::get(int32_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#aa6891658c7f836b24e81a909e262a0b5',1,'arm_compute::PixelValue::get(uint64_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#ac9e6a107a838475befb127d19810819b',1,'arm_compute::PixelValue::get(int64_t &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a094ed5eee19e2d210859e3e0a2c2ec77',1,'arm_compute::PixelValue::get(half &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a43fd30dcf0471d3194662a798cab5b07',1,'arm_compute::PixelValue::get(float &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#a62291388fe2e02f95e0934f08d5a7064',1,'arm_compute::PixelValue::get(double &amp;v) const'],['../classarm__compute_1_1_pixel_value.xhtml#afe5b3274209fa0f482c22a244de2773d',1,'arm_compute::PixelValue::get() const'],['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a438bb9166f6212a2343174d324449802',1,'arm_compute::logging::LoggerRegistry::get()'],['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041',1,'arm_compute::graph::backends::BackendRegistry::get()'],['../classarm__compute_1_1graph_1_1_task_executor.xhtml#a8814816f2d2940dbbc2817277eff42db',1,'arm_compute::graph::TaskExecutor::get()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c',1,'arm_compute::CLScheduler::get()'],['../classarm__compute_1_1_c_p_p_scheduler.xhtml#a29866c2e410a715d736ec447b986df78',1,'arm_compute::CPPScheduler::get()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b',1,'arm_compute::GCScheduler::get()'],['../classarm__compute_1_1_o_m_p_scheduler.xhtml#ae2c66b86cdc38931af9c49a58e03d692',1,'arm_compute::OMPScheduler::get()'],['../classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429',1,'arm_compute::Scheduler::get()'],['../classarm__compute_1_1_single_thread_scheduler.xhtml#adde335aa5c5b2fc7e07c1d2dc940bf8f',1,'arm_compute::SingleThreadScheduler::get()'],['../classarm__gemm_1_1_buffer.xhtml#a427705bf76071f12aa29992bd5cffa73',1,'arm_gemm::Buffer::get()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a427705bf76071f12aa29992bd5cffa73',1,'arm_gemm::BufferManager::get()'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa6db5c08c0540fb3c0b8292861342a73',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#aa0cf1a79542c521b9f16d117b085c4d5',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a2a42841665f9beb54eb36b19bb80429d',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, DataType data_type, int num_channels=1) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a3a09811217e482c207002786f08b0cf2',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ab760ccaa18b95b99c73eb0e763f39ec2',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a53dd04f4377c6f33085ecefd226071f3',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#af6f0ca724e534653925306023dbb88e7',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Channel channel)'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#a94ea5147ba395f404c0f0a8a203c1a61',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format, Channel channel) const'],['../classarm__compute_1_1test_1_1_assets_library.xhtml#ad6182f07b3eda32931598aa4f2bfc11a',1,'arm_compute::test::AssetsLibrary::get(const std::string &amp;name, Format format, Channel channel)'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9',1,'arm_compute::test::framework::Framework::get()'],['../classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#ae18857a90dabdfda0bf26ee448f46652',1,'arm_compute::utils::IImageDataFeeder::get()'],['../classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494',1,'arm_compute::utils::FileImageFeeder::get()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494',1,'arm_compute::utils::MemoryImageFeeder::get()']]],
   ['get_5factivation_5flayer_5ftest_5fbounds',['get_activation_layer_test_bounds',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a1aa7d40588cbc644eb7d45d008b1f0',1,'arm_compute::test::validation']]],
   ['get_5farch_5ffrom_5ftarget',['get_arch_from_target',['../namespacearm__compute.xhtml#a2355c2bf5d1950088937416baea24fe6',1,'arm_compute']]],
-  ['get_5fb_5fpretransposed_5farray_5fsize',['get_B_pretransposed_array_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmInterleaved::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvBatched::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvPretransposed::get_B_pretransposed_array_size()']]],
+  ['get_5fb_5fpretransposed_5farray_5fsize',['get_B_pretransposed_array_size',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmHybrid::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemmInterleaved::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvBatched::get_B_pretransposed_array_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#ae9fc7380e533c43a1d91e48a7578e412',1,'arm_gemm::GemvPretransposed::get_B_pretransposed_array_size()']]],
   ['get_5fbackend',['get_backend',['../classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93',1,'arm_compute::graph::backends::BackendRegistry']]],
   ['get_5fbacking_5ftensor',['get_backing_tensor',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a69dd1fc17c7a15f4125873be182c8c76',1,'arm_compute::graph::backends::detail']]],
   ['get_5fbacking_5ftensor_5finfo',['get_backing_tensor_info',['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca',1,'arm_compute::graph::backends::detail']]],
@@ -95,6 +96,8 @@
   ['get_5fcl_5fselect_5ftype_5ffrom_5fdata_5ftype',['get_cl_select_type_from_data_type',['../namespacearm__compute.xhtml#a70d221fbff7bff840ef4d3fdc701cf53',1,'arm_compute']]],
   ['get_5fcl_5ftype_5ffrom_5fdata_5ftype',['get_cl_type_from_data_type',['../namespacearm__compute.xhtml#a545eeda2eaa3f5a54345ce8169e21184',1,'arm_compute']]],
   ['get_5fcl_5fversion',['get_cl_version',['../namespacearm__compute.xhtml#a0e62ce01a7a7af6c3d059bb8534cad45',1,'arm_compute']]],
+  ['get_5fcompatible_5fkernels',['get_compatible_kernels',['../namespacearm__gemm.xhtml#a36da041082ba1c9310bdfdd3b6a2d24c',1,'arm_gemm']]],
+  ['get_5fcompatible_5fkernels_3c_20float_2c_20float_20_3e',['get_compatible_kernels&lt; float, float &gt;',['../namespacearm__gemm.xhtml#ae0132f55c6d1d908e4537c628c17e004',1,'arm_gemm']]],
   ['get_5fconvolution_5fmethod',['get_convolution_method',['../classarm__compute_1_1_c_l_convolution_layer.xhtml#a52d5a4b1c55ce0198a793d5ebe5eb714',1,'arm_compute::CLConvolutionLayer::get_convolution_method()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#a2538e5ca14e38133458798dc11229e37',1,'arm_compute::NEConvolutionLayer::get_convolution_method()']]],
   ['get_5fcpu_5fconfiguration',['get_cpu_configuration',['../namespacearm__compute.xhtml#a92d01d03db1530581737484c1290ca16',1,'arm_compute']]],
   ['get_5fcpu_5fmodel',['get_cpu_model',['../classarm__compute_1_1_c_p_u_info.xhtml#a1d1a4992ced850f18f97b27492bbb081',1,'arm_compute::CPUInfo::get_cpu_model(unsigned int cpuid) const'],['../classarm__compute_1_1_c_p_u_info.xhtml#aa382062453f40443af73d726fe75340b',1,'arm_compute::CPUInfo::get_cpu_model() const']]],
@@ -104,14 +107,15 @@
   ['get_5fdata_5flayout_5fdimension_5findex',['get_data_layout_dimension_index',['../namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db',1,'arm_compute']]],
   ['get_5fdata_5fsize_5ffrom_5fdata_5ftype',['get_data_size_from_data_type',['../namespacearm__compute.xhtml#ab631f49c436b1f18beff3248c4b1a19e',1,'arm_compute']]],
   ['get_5fdefault_5ftarget',['get_default_target',['../namespacearm__compute_1_1graph.xhtml#addc5c907a850a8b4d5458bd14f50c6f7',1,'arm_compute::graph']]],
+  ['get_5fdetection_5foutput_5faccessor',['get_detection_output_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063',1,'arm_compute::graph_utils']]],
   ['get_5fdevice',['get_device',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a06733f65cb098d0ba67b028b1cb94b03',1,'arm_compute::CLKernelLibrary']]],
   ['get_5fdevice_5fversion',['get_device_version',['../classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef',1,'arm_compute::CLKernelLibrary']]],
   ['get_5fdimension_5fidx',['get_dimension_idx',['../namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7',1,'arm_compute::graph']]],
   ['get_5fdimension_5fsize',['get_dimension_size',['../namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1',1,'arm_compute::graph']]],
   ['get_5fdriving_5fnodes',['get_driving_nodes',['../namespacearm__compute_1_1graph.xhtml#a634230f98a5918f214e47d913c452d3b',1,'arm_compute::graph']]],
   ['get_5fformat_5ffor_5fchannel',['get_format_for_channel',['../namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf',1,'arm_compute::test']]],
-  ['get_5fgemm_5fmethod',['get_gemm_method',['../namespacearm__gemm.xhtml#ac511612b4ec4c51a4aed14bf217b867d',1,'arm_gemm']]],
-  ['get_5fgemm_5fmethod_3c_20float_2c_20float_20_3e',['get_gemm_method&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a54c087e90a95f5f0494ba8d332f5b6b5',1,'arm_gemm']]],
+  ['get_5fgemm_5fmethod',['get_gemm_method',['../namespacearm__gemm.xhtml#a19d838df735190843718a2cb4449204b',1,'arm_gemm']]],
+  ['get_5fgemm_5fmethod_3c_20float_2c_20float_20_3e',['get_gemm_method&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a2b318608a1cec6f3e8e97af9d98781e8',1,'arm_gemm']]],
   ['get_5fgl_5fssbo_5fname',['get_gl_ssbo_name',['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#aae7e39f5c474c8bf6d4cdbef3af9b6cb',1,'arm_compute::GCTensorAllocator']]],
   ['get_5fimage_5fshape',['get_image_shape',['../classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa',1,'arm_compute::test::AssetsLibrary']]],
   ['get_5fimage_5ftype_5ffrom_5ffile',['get_image_type_from_file',['../namespacearm__compute_1_1utils.xhtml#a779702024b509e6797b2d526d382cf65',1,'arm_compute::utils']]],
@@ -145,22 +149,23 @@
   ['get_5fquantized_5fbounds',['get_quantized_bounds',['../namespacearm__compute_1_1test_1_1validation.xhtml#a55866d648f6da2a3aaf3965bd1685868',1,'arm_compute::test::validation']]],
   ['get_5frandom_5faccessor',['get_random_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2',1,'arm_compute::graph_utils']]],
   ['get_5frow',['get_row',['../classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#a352ac249fbff257dddef6eb8792cd648',1,'arm_compute::utils::IImageDataFeeder::get_row()'],['../classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684',1,'arm_compute::utils::FileImageFeeder::get_row()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684',1,'arm_compute::utils::MemoryImageFeeder::get_row()']]],
+  ['get_5fsize',['get_size',['../classarm__gemm_1_1_n_d_range.xhtml#a0f8db355d9e187a659bcc29c7165e8fb',1,'arm_gemm::NDRange']]],
   ['get_5fstorage_5frequirement',['get_storage_requirement',['../classarm__gemm_1_1_buffer_manager.xhtml#ad94ec2bb5758590521fe20ae781ca0b5',1,'arm_gemm::BufferManager']]],
   ['get_5ftarget',['get_target',['../classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::ICLKernel::get_target()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::IGCKernel::get_target()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7',1,'arm_compute::GCScheduler::get_target()']]],
   ['get_5ftarget_5ffrom_5fdevice',['get_target_from_device',['../namespacearm__compute.xhtml#a281384aa081efe5819eedd6a7c2a429b',1,'arm_compute::get_target_from_device(const cl::Device &amp;device)'],['../namespacearm__compute.xhtml#a786b9d823a527bb1e30d38f4dbe52d4b',1,'arm_compute::get_target_from_device()']]],
   ['get_5ftarget_5ffrom_5fname',['get_target_from_name',['../namespacearm__compute.xhtml#a0dc6fb54ac0bbc7bf512fe0ca7414076',1,'arm_compute']]],
   ['get_5ftensor_5fdescriptor',['get_tensor_descriptor',['../namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8',1,'arm_compute::graph']]],
   ['get_5fthreads_5fhint',['get_threads_hint',['../namespacearm__compute.xhtml#a9a9fa44b29bc17746a0b486626a76e0a',1,'arm_compute']]],
-  ['get_5ftile',['get_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7159671a452710595f7d01e69aef7a13',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f24eb9f64c22d82f465dfe37aceb3f0',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;roi, const Coordinates &amp;coord)']]],
+  ['get_5ftile',['get_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7159671a452710595f7d01e69aef7a13',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f24eb9f64c22d82f465dfe37aceb3f0',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; half &gt; &amp;in, SimpleTensor&lt; half &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab845254df9508ca05606545601bebb96',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; int &gt; &amp;in, SimpleTensor&lt; int &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e68979a4a28002408d66ebed77b22cf',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; short &gt; &amp;in, SimpleTensor&lt; short &gt; &amp;roi, const Coordinates &amp;coord)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3cb2c28c295494199dc2d805e26e7e2',1,'arm_compute::test::validation::get_tile(const SimpleTensor&lt; char &gt; &amp;in, SimpleTensor&lt; char &gt; &amp;roi, const Coordinates &amp;coord)']]],
   ['get_5ftotal_5fin_5fkb',['get_total_in_kb',['../classarm__compute_1_1_m_e_m_info.xhtml#a417a573b0ef6347fa727ce756b76f1d2',1,'arm_compute::MEMInfo']]],
   ['get_5ftype',['get_type',['../classarm__compute_1_1_scheduler.xhtml#a3f9e730c935124966325cd7c794d3153',1,'arm_compute::Scheduler']]],
   ['get_5ftypestring',['get_typestring',['../namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a',1,'arm_compute::test::get_typestring()'],['../namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19',1,'arm_compute::utils::get_typestring()']]],
   ['get_5funderlying_5fcl_5ftype_5ffrom_5fdata_5ftype',['get_underlying_cl_type_from_data_type',['../namespacearm__compute.xhtml#aa9ed41c417478e5b1e346de1899137b1',1,'arm_compute']]],
   ['get_5fvalue',['get_value',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#aea0e7b23882e772db44534ca45e2c029',1,'arm_compute::test::framework::PMU']]],
-  ['get_5fvector_5flength',['get_vector_length',['../utils_8hpp.xhtml#a1eaff087e6d3a04dfe9e886b204a1e2e',1,'utils.hpp']]],
+  ['get_5fvector_5flength',['get_vector_length',['../namespacearm__gemm_1_1utils.xhtml#aa7ef5562f876812256212715f49ef569',1,'arm_gemm::utils']]],
   ['get_5fweight_5fstorage_5fsize',['get_weight_storage_size',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ac87d8039da10e7380bcaf59169eb4558',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::get_weight_storage_size()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a87a7d4fe23da86c3682b79300d23f248',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::get_weight_storage_size()']]],
   ['get_5fweights_5faccessor',['get_weights_accessor',['../namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16',1,'arm_compute::graph_utils']]],
-  ['get_5fwindow_5fsize',['get_window_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmInterleaved::get_window_size()'],['../classarm__gemm_1_1_gemm_native.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmNative::get_window_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvBatched::get_window_size()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvNativeTransposed::get_window_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvPretransposed::get_window_size()']]],
+  ['get_5fwindow_5fsize',['get_window_size',['../classarm__gemm_1_1_gemm_hybrid.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmHybrid::get_window_size()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmInterleaved::get_window_size()'],['../classarm__gemm_1_1_gemm_native.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemmNative::get_window_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvBatched::get_window_size()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvNativeTransposed::get_window_size()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2',1,'arm_gemm::GemvPretransposed::get_window_size()']]],
   ['get_5fworking_5fsize',['get_working_size',['../classarm__gemm_1_1_gemm_interleaved.xhtml#abf5a58f6feffeae31f48b750cba9303d',1,'arm_gemm::GemmInterleaved::get_working_size()'],['../classarm__gemm_1_1_gemv_batched.xhtml#abf5a58f6feffeae31f48b750cba9303d',1,'arm_gemm::GemvBatched::get_working_size()']]],
   ['glattachshader',['glAttachShader',['../_open_g_l_e_s_8cpp.xhtml#a75f4854b14c6eba12a7feb4d53933d6f',1,'OpenGLES.cpp']]],
   ['glbindbuffer',['glBindBuffer',['../_open_g_l_e_s_8cpp.xhtml#ad9528d3fb71b7ee1e23fab6aed1cba83',1,'OpenGLES.cpp']]],
diff --git a/documentation/search/functions_7.html b/documentation/search/functions_7.html
index 83a7b84..7842361 100644
--- a/documentation/search/functions_7.html
+++ b/documentation/search/functions_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_8.html b/documentation/search/functions_8.html
index b55f0e6..48feafe 100644
--- a/documentation/search/functions_8.html
+++ b/documentation/search/functions_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_8.js b/documentation/search/functions_8.js
index a301872..330d0d2 100644
--- a/documentation/search/functions_8.js
+++ b/documentation/search/functions_8.js
@@ -1,7 +1,7 @@
 var searchData=
 [
   ['iarray',['IArray',['../classarm__compute_1_1_i_array.xhtml#a409cec620a7e56a535b079a0fe37695a',1,'arm_compute::IArray::IArray()'],['../classarm__compute_1_1_i_array.xhtml#a7ddd3791f151a0ad74b270776ff3726c',1,'arm_compute::IArray::IArray(size_t max_num_values)']]],
-  ['iceildiv',['iceildiv',['../utils_8hpp.xhtml#a684c8067c15bcb74b9d79a822aa8098f',1,'utils.hpp']]],
+  ['iceildiv',['iceildiv',['../utils_8hpp.xhtml#aa4508679e1d089c2bdcf000f72357683',1,'utils.hpp']]],
   ['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml#a52adc23eae121bce4ce2f3febaf77566',1,'arm_compute::ICLArray::ICLArray(size_t max_num_values)'],['../classarm__compute_1_1_i_c_l_array.xhtml#a0cf073a23250bc74f0481a2747245e09',1,'arm_compute::ICLArray::ICLArray(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a2737e23210ec0453be088d5069fe2c48',1,'arm_compute::ICLArray::ICLArray(ICLArray &amp;&amp;)=default']]],
   ['icldepthwiseconvolutionlayer3x3kernel',['ICLDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#aa7e42f3113213af8d70581f3c6f489de',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::ICLDepthwiseConvolutionLayer3x3Kernel()'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#af124535fa3f8231e80f97fe22b41697f',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::ICLDepthwiseConvolutionLayer3x3Kernel(const ICLDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a3f4153509762da53dc5fb96c2e0f6786',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::ICLDepthwiseConvolutionLayer3x3Kernel(ICLDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default']]],
   ['icldistribution1d',['ICLDistribution1D',['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0289f4eb4c6ca9ddcdc7d0926592a98f',1,'arm_compute::ICLDistribution1D::ICLDistribution1D(size_t num_bins, int32_t offset, uint32_t range)'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a298d976d9b3cf2a86f114292c1a58839',1,'arm_compute::ICLDistribution1D::ICLDistribution1D(const ICLDistribution1D &amp;)=delete']]],
@@ -17,6 +17,7 @@
   ['icppsimplekernel',['ICPPSimpleKernel',['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a3f46900690da1aee8ff395133f853cb4',1,'arm_compute::ICPPSimpleKernel::ICPPSimpleKernel()'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ad6c492d85c9a5f91cf905defb626db4f',1,'arm_compute::ICPPSimpleKernel::ICPPSimpleKernel(const ICPPSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a7a40bf323d5fa5e88fb2f6581c43af0c',1,'arm_compute::ICPPSimpleKernel::ICPPSimpleKernel(ICPPSimpleKernel &amp;&amp;)=default']]],
   ['id',['id',['../classarm__compute_1_1graph_1_1_edge.xhtml#aefc98f9ead7dd39790ad7eac89843ef7',1,'arm_compute::graph::Edge::id()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a0fc44e75669b55a1347b89c7debdf037',1,'arm_compute::graph::Graph::id()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3',1,'arm_compute::graph::INode::id()'],['../classarm__compute_1_1graph_1_1_tensor.xhtml#a738f5e449958bed64c970006375540fd',1,'arm_compute::graph::Tensor::id()'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a93697d33dc9325ba180a9a2a8ade6937',1,'arm_compute::test::framework::Instrument::id()'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::MaliCounter::id()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::OpenCLMemoryUsage::id()'],['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::OpenCLClock::id()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::PMUCounter::id()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::SchedulerClock::id()'],['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml#a501ef37fef441a0a6a8ea8b8e30a7181',1,'arm_compute::test::framework::WallClock::id()']]],
   ['idistribution1d',['IDistribution1D',['../classarm__compute_1_1_i_distribution1_d.xhtml#a9c3a40b0dbbd79ed909471d9e05283aa',1,'arm_compute::IDistribution1D']]],
+  ['if',['if',['../namespacearm__compute_1_1test_1_1validation.xhtml#a439f0d3ec27d4db453534d05f9f0bd18',1,'arm_compute::test::validation']]],
   ['ifloatflip',['IFloatFlip',['../namespacearm__compute.xhtml#a69c96727fe92b1ad1b07da3117c73c76',1,'arm_compute']]],
   ['igckernel',['IGCKernel',['../classarm__compute_1_1_i_g_c_kernel.xhtml#abd51b7f007e5846ae05efdaca32e876c',1,'arm_compute::IGCKernel']]],
   ['igcmemoryregion',['IGCMemoryRegion',['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a1ea285b33671030e2a60eccd8dc60b55',1,'arm_compute::IGCMemoryRegion::IGCMemoryRegion(size_t size)'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a3fc929b7c49a15aabeda3efac4142383',1,'arm_compute::IGCMemoryRegion::IGCMemoryRegion(const IGCMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#ade6f50df2c069ce94a72ab26062b5f7c',1,'arm_compute::IGCMemoryRegion::IGCMemoryRegion(IGCMemoryRegion &amp;&amp;)=default']]],
@@ -47,10 +48,11 @@
   ['inegemmlowpreductionkernel',['INEGEMMLowpReductionKernel',['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#ac0534ec68e44c38007075d223eeef65e',1,'arm_compute::INEGEMMLowpReductionKernel::INEGEMMLowpReductionKernel()'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#aa022c720a70d20d1c4c6846ef0f21476',1,'arm_compute::INEGEMMLowpReductionKernel::INEGEMMLowpReductionKernel(const INEGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a81bd2446e74127bcc446c01dd99441da',1,'arm_compute::INEGEMMLowpReductionKernel::INEGEMMLowpReductionKernel(INEGEMMLowpReductionKernel &amp;&amp;)=default']]],
   ['ineharrisscorekernel',['INEHarrisScoreKernel',['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a3ad624d38793ed654c8ecb01466412ce',1,'arm_compute::INEHarrisScoreKernel::INEHarrisScoreKernel()'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#aec74324a78e81a421f0fddde6c6bb439',1,'arm_compute::INEHarrisScoreKernel::INEHarrisScoreKernel(const INEHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a98cf472e8c62403e1995673e9b8ed1c3',1,'arm_compute::INEHarrisScoreKernel::INEHarrisScoreKernel(INEHarrisScoreKernel &amp;&amp;)=default']]],
   ['inesimplefunction',['INESimpleFunction',['../classarm__compute_1_1_i_n_e_simple_function.xhtml#a4a6528d71f063140db37cdf5cf272960',1,'arm_compute::INESimpleFunction']]],
+  ['inesimplefunctionnoborder',['INESimpleFunctionNoBorder',['../classarm__compute_1_1_i_n_e_simple_function_no_border.xhtml#a0e0883eaf5a047ad7a5eb791dfe3a7f5',1,'arm_compute::INESimpleFunctionNoBorder']]],
   ['inewarpkernel',['INEWarpKernel',['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7acfff8355cadd1f4a467a82d05df75a',1,'arm_compute::INEWarpKernel::INEWarpKernel()'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a581f7b74a46de81c682247ed0890e326',1,'arm_compute::INEWarpKernel::INEWarpKernel(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a516a474c9b15858d827afbfa3e7e6060',1,'arm_compute::INEWarpKernel::INEWarpKernel(INEWarpKernel &amp;&amp;)=default']]],
   ['inewinogradlayertransformweightskernel',['INEWinogradLayerTransformWeightsKernel',['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a2113b7c594eeb55ea4c4d7ed23b01f74',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#abd794d0a9e67047c532645078f773553',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#aaadab47aee543f94771e81b16517b1d5',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::INEWinogradLayerTransformWeightsKernel()']]],
-  ['info',['info',['../classarm__compute_1_1_i_h_o_g.xhtml#a4e9b5d4ab15fd9009b463861c1a19dbd',1,'arm_compute::IHOG::info()'],['../classarm__compute_1_1_i_multi_image.xhtml#a38261214e277cba5b90dd1ffe31170e0',1,'arm_compute::IMultiImage::info()'],['../classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b',1,'arm_compute::IPyramid::info()'],['../classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237',1,'arm_compute::ITensor::info() const =0'],['../classarm__compute_1_1_i_tensor.xhtml#a7e6b5e55a2914b1fb1966310e7733ac4',1,'arm_compute::ITensor::info()=0'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7',1,'arm_compute::graph::BoundingBoxTransformLayerNode::info()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab',1,'arm_compute::graph::FullyConnectedLayerNode::info()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f',1,'arm_compute::graph::GenerateProposalsLayerNode::info()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df',1,'arm_compute::graph::UpsampleLayerNode::info()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae455892b8843f8bd868bbb7ba3359d1d',1,'arm_compute::graph::DotGraphVisitor::info()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::CLHOG::info()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::CLMultiImage::info()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::CLPyramid::info()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::CLSubTensor::info() const override'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::CLSubTensor::info() override'],['../classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::CLTensor::info() const override'],['../classarm__compute_1_1_c_l_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::CLTensor::info() override'],['../classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::GCTensor::info() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::GCTensor::info() override'],['../classarm__compute_1_1_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::HOG::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3',1,'arm_compute::ITensorAllocator::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af3461a6d7c86f09c854cbb7ab5578c4e',1,'arm_compute::ITensorAllocator::info() const'],['../classarm__compute_1_1_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::MultiImage::info()'],['../classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::Pyramid::info()'],['../classarm__compute_1_1_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::SubTensor::info() const override'],['../classarm__compute_1_1_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::SubTensor::info() override'],['../classarm__compute_1_1_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::Tensor::info() const override'],['../classarm__compute_1_1_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::Tensor::info() override'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc',1,'arm_compute::test::validation::info()']]],
-  ['init',['init',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a9f976367edcd9ab787375373e050b94b',1,'arm_compute::CLKernelLibrary::init()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#abe24625d55f2fb35da7e293e5e28d483',1,'arm_compute::GCKernelLibrary::init()'],['../classarm__compute_1_1_h_o_g_info.xhtml#a75215e8ba07a5ec88ee8c902e306e887',1,'arm_compute::HOGInfo::init()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImageInfo::init()'],['../classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, size_t width, size_t height, Format format)'],['../classarm__compute_1_1_pyramid_info.xhtml#a51a4719902c69a814ccc638963b3074e',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63',1,'arm_compute::TensorInfo::init(Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a999abf93eb224a2aee25de3309571d4e',1,'arm_compute::TensorInfo::init(size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#ac745167b7289cd4510034dbe81d5052a',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a4a09eca3bb738e38daa8445461bfaf1f',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea',1,'arm_compute::TensorInfo::init(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::CLHOG::init()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::CLMultiImage::init()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::CLPyramid::init()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#acd4c34ea8e54a0bbbf51211b08399ae7',1,'arm_compute::CLScheduler::init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9120bd38578ddee701b5526dfe2369db',1,'arm_compute::GCScheduler::init()'],['../classarm__compute_1_1_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::HOG::init()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a4ef157737b45c46f115e14b425512800',1,'arm_compute::ILutAllocator::init()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed',1,'arm_compute::ITensorAllocator::init()'],['../classarm__compute_1_1_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImage::init()'],['../classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::Pyramid::init()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4',1,'arm_compute::TensorAllocator::init()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a47fbbce86aea0ba4a9d539c069f840c9',1,'arm_compute::test::framework::Framework::init()']]],
+  ['info',['info',['../classarm__compute_1_1_i_h_o_g.xhtml#a4e9b5d4ab15fd9009b463861c1a19dbd',1,'arm_compute::IHOG::info()'],['../classarm__compute_1_1_i_multi_image.xhtml#a38261214e277cba5b90dd1ffe31170e0',1,'arm_compute::IMultiImage::info()'],['../classarm__compute_1_1_i_pyramid.xhtml#a7114241d28b1d2ebb7b9dba9f1ab0c8b',1,'arm_compute::IPyramid::info()'],['../classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237',1,'arm_compute::ITensor::info() const =0'],['../classarm__compute_1_1_i_tensor.xhtml#a7e6b5e55a2914b1fb1966310e7733ac4',1,'arm_compute::ITensor::info()=0'],['../classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7',1,'arm_compute::graph::BoundingBoxTransformLayerNode::info()'],['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab',1,'arm_compute::graph::FullyConnectedLayerNode::info()'],['../classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f',1,'arm_compute::graph::GenerateProposalsLayerNode::info()'],['../classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df',1,'arm_compute::graph::UpsampleLayerNode::info()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#ae455892b8843f8bd868bbb7ba3359d1d',1,'arm_compute::graph::DotGraphVisitor::info()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::CLHOG::info()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::CLMultiImage::info()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::CLPyramid::info()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::CLSubTensor::info() const override'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::CLSubTensor::info() override'],['../classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::CLTensor::info() const override'],['../classarm__compute_1_1_c_l_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::CLTensor::info() override'],['../classarm__compute_1_1_g_c_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4',1,'arm_compute::GCTensor::info() const override'],['../classarm__compute_1_1_g_c_tensor.xhtml#a2edd900d6f8eb9a995be55adfffbede5',1,'arm_compute::GCTensor::info() override'],['../classarm__compute_1_1_h_o_g.xhtml#a6a590275107811799e9bd0ee7bac11a2',1,'arm_compute::HOG::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a29737b25723597c9708c662c7088e6c3',1,'arm_compute::ITensorAllocator::info()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af3461a6d7c86f09c854cbb7ab5578c4e',1,'arm_compute::ITensorAllocator::info() const'],['../classarm__compute_1_1_multi_image.xhtml#a497750732ff63fc3666e2bd08b393fc9',1,'arm_compute::MultiImage::info()'],['../classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e',1,'arm_compute::Pyramid::info()'],['../classarm__compute_1_1_sub_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::SubTensor::info() const override'],['../classarm__compute_1_1_sub_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::SubTensor::info() override'],['../classarm__compute_1_1_tensor.xhtml#a47d74e4e51f9b1a636c4831bd747a97c',1,'arm_compute::Tensor::info() const override'],['../classarm__compute_1_1_tensor.xhtml#af3913a3ffefed788b1fa3fb91407472a',1,'arm_compute::Tensor::info() override'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa49dc5afff07b86be9d319b2947a10cd',1,'arm_compute::test::validation::info()']]],
+  ['init',['init',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a9f976367edcd9ab787375373e050b94b',1,'arm_compute::CLKernelLibrary::init()'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#abe24625d55f2fb35da7e293e5e28d483',1,'arm_compute::GCKernelLibrary::init()'],['../classarm__compute_1_1_h_o_g_info.xhtml#a75215e8ba07a5ec88ee8c902e306e887',1,'arm_compute::HOGInfo::init()'],['../classarm__compute_1_1_multi_image_info.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImageInfo::init()'],['../classarm__compute_1_1_pyramid_info.xhtml#a741486bedb7b0966b1d4e6e7c6cccf60',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, size_t width, size_t height, Format format)'],['../classarm__compute_1_1_pyramid_info.xhtml#a51a4719902c69a814ccc638963b3074e',1,'arm_compute::PyramidInfo::init(size_t num_levels, float scale, const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63',1,'arm_compute::TensorInfo::init(Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, Format format, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a999abf93eb224a2aee25de3309571d4e',1,'arm_compute::TensorInfo::init(size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#ac745167b7289cd4510034dbe81d5052a',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a4a09eca3bb738e38daa8445461bfaf1f',1,'arm_compute::TensorInfo::init(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type, const Strides &amp;strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes)'],['../classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea',1,'arm_compute::TensorInfo::init(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::CLHOG::init()'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::CLMultiImage::init()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::CLPyramid::init()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a89be78d1ed13202968d25524b2d69393',1,'arm_compute::CLScheduler::init()'],['../classarm__compute_1_1_g_c_scheduler.xhtml#a9120bd38578ddee701b5526dfe2369db',1,'arm_compute::GCScheduler::init()'],['../classarm__compute_1_1_h_o_g.xhtml#a055b5bd45e91f842b49def638c017b5b',1,'arm_compute::HOG::init()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#a4ef157737b45c46f115e14b425512800',1,'arm_compute::ILutAllocator::init()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed',1,'arm_compute::ITensorAllocator::init()'],['../classarm__compute_1_1_multi_image.xhtml#a7453bdfcb39e068357022f0861e59637',1,'arm_compute::MultiImage::init()'],['../classarm__compute_1_1_pyramid.xhtml#ae4e11cca76492d63009564d1ea466dff',1,'arm_compute::Pyramid::init()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a3014ce2f4215e8a44331aa5daf3ba0d4',1,'arm_compute::TensorAllocator::init()'],['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a47fbbce86aea0ba4a9d539c069f840c9',1,'arm_compute::test::framework::Framework::init()']]],
   ['init_5fauto_5fpadding',['init_auto_padding',['../classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b',1,'arm_compute::TensorInfo::init_auto_padding(const TensorShape &amp;tensor_shape, Format format)'],['../classarm__compute_1_1_tensor_info.xhtml#a5e70695e962af8b66bea2ad092269ee3',1,'arm_compute::TensorInfo::init_auto_padding(const TensorShape &amp;tensor_shape, size_t num_channels, DataType data_type)'],['../classarm__compute_1_1_tensor_info.xhtml#a9a30265f100a459de985a9f3f91db76c',1,'arm_compute::TensorInfo::init_auto_padding(const HOGInfo &amp;hog_info, unsigned int width, unsigned int height)'],['../classarm__compute_1_1_c_l_multi_image.xhtml#a32c7d923aa5aad1ef6afe95204c7d723',1,'arm_compute::CLMultiImage::init_auto_padding()'],['../classarm__compute_1_1_c_l_pyramid.xhtml#a0dd473fd109df68b4747ebf0f586a115',1,'arm_compute::CLPyramid::init_auto_padding()'],['../classarm__compute_1_1_multi_image.xhtml#a32c7d923aa5aad1ef6afe95204c7d723',1,'arm_compute::MultiImage::init_auto_padding()'],['../classarm__compute_1_1_pyramid.xhtml#a0dd473fd109df68b4747ebf0f586a115',1,'arm_compute::Pyramid::init_auto_padding()']]],
   ['init_5fconv',['init_conv',['../namespacearm__compute_1_1test.xhtml#a9a5cc10c5cfc190c61b60d393c8ab566',1,'arm_compute::test']]],
   ['init_5fimage',['init_image',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a283b961e6ca7b117b106c8710c7cfe81',1,'arm_compute::utils::IImageLoader']]],
@@ -75,21 +77,22 @@
   ['inputnode',['InputNode',['../classarm__compute_1_1graph_1_1_input_node.xhtml#a45cded3088bd7dcefdf86b17b143aa16',1,'arm_compute::graph::InputNode']]],
   ['inputs',['inputs',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a7c77caaf0ff3ccc12220871c6dfed704',1,'arm_compute::graph::INode']]],
   ['insert_5fmemory_5fmanagement_5fctx',['insert_memory_management_ctx',['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a5bd2719563383b341ad9d1186c2e9847',1,'arm_compute::graph::GraphContext']]],
-  ['instantiate',['instantiate',['../classarm__gemm_1_1_gemm_implementation.xhtml#ad3207376352d28419bdfea1b0c128f56',1,'arm_gemm::GemmImplementation::instantiate()'],['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#a4766994f469e9bc270c673800513d090',1,'arm_gemm::GemmImpl_gemv_batched::instantiate()']]],
   ['instrument',['Instrument',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a44dfdf6c9c53e1b5c5eddfc58c31dc54',1,'arm_compute::test::framework::Instrument::Instrument()=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ac92db65cbe174915234b0d99b3ad4be7',1,'arm_compute::test::framework::Instrument::Instrument(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#adda867124fd5c093788f96cb2eaf67cd',1,'arm_compute::test::framework::Instrument::Instrument(Instrument &amp;&amp;)=default']]],
   ['instrument_5ftype_5ffrom_5fname',['instrument_type_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#afd83c7910de214ea12bc25e7482892a0',1,'arm_compute::test::framework']]],
   ['instrumentsstats',['InstrumentsStats',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a948b96537414305a030be8150cac2522',1,'arm_compute::test::framework::InstrumentsStats']]],
   ['int64_5fbase_5fatomics_5fsupported',['int64_base_atomics_supported',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a7406f704be6891f5a9a1c6dbc3e882df',1,'arm_compute::CLKernelLibrary']]],
+  ['int_5fdist',['int_dist',['../namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b',1,'arm_compute::test::validation']]],
   ['integral_5fhorizontal',['integral_horizontal',['../integral__image_8cl.xhtml#a472be6fbc82158f3eb807d9e52e3254b',1,'integral_image.cl']]],
   ['integral_5fimage',['integral_image',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6d4691ec28061cbb6e38600f5f78a9bf',1,'arm_compute::test::validation::reference::integral_image(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a751a624d19add33a7c81b6260386d550',1,'arm_compute::test::validation::reference::integral_image(const SimpleTensor&lt; uint8_t &gt; &amp;src)']]],
   ['integral_5fvertical',['integral_vertical',['../integral__image_8cl.xhtml#ae909fdef8be348f0da3b730289410433',1,'integral_image.cl']]],
   ['intersect_5fvalid_5fregions',['intersect_valid_regions',['../namespacearm__compute.xhtml#aa7510e92de273e0457ce12218f712ad4',1,'arm_compute']]],
   ['invalidate_5fgraph',['invalidate_graph',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a51543e8fce4ed3bd248eedd96d333099',1,'arm_compute::graph::GraphManager']]],
-  ['ioformatinfo',['IOFormatInfo',['../structarm__compute_1_1_i_o_format_info.xhtml#aa0a9be7908d667b4d3735c4eef01a667',1,'arm_compute::IOFormatInfo']]],
+  ['ioformatinfo',['IOFormatInfo',['../structarm__compute_1_1_i_o_format_info.xhtml#afc22bda96f8024656055390cc5f780f0',1,'arm_compute::IOFormatInfo']]],
   ['is_5fa_5freshaped',['is_a_reshaped',['../classarm__compute_1_1_g_e_m_m_info.xhtml#aa7e9584d7080ca6442cec62afaff6cad',1,'arm_compute::GEMMInfo']]],
   ['is_5favailable',['is_available',['../classarm__compute_1_1_scheduler.xhtml#aec4d18b67c8b6ba13485ec9b17de0ef8',1,'arm_compute::Scheduler']]],
   ['is_5fb_5freshaped',['is_b_reshaped',['../classarm__compute_1_1_g_e_m_m_info.xhtml#a77964edb8d16bb8ec14ddd8985e03cb0',1,'arm_compute::GEMMInfo']]],
   ['is_5fbackend_5fsupported',['is_backend_supported',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::CLDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::GCDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_device_backend.xhtml#a96a97b6b97a89e6940f8853d1dcbf213',1,'arm_compute::graph::backends::NEDeviceBackend::is_backend_supported()'],['../classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#aba671d383a01749f55e49d5750646c05',1,'arm_compute::graph::backends::IDeviceBackend::is_backend_supported()']]],
+  ['is_5fbit_5fset',['is_bit_set',['../namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941',1,'arm_compute::helpers::bit_ops']]],
   ['is_5fconfigured',['is_configured',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a959cc06df096abd4449c1b9afd0ffc2f',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::is_configured()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ab7c16a89cb470f3fa85818ee85e1e1dd',1,'arm_compute::NEGEMMAssemblyDispatch::is_configured()']]],
   ['is_5fcross_5fmap',['is_cross_map',['../classarm__compute_1_1_normalization_layer_info.xhtml#a727a7ffe5a01a9d26fb910796e84e163',1,'arm_compute::NormalizationLayerInfo']]],
   ['is_5fdata_5ftype_5ffloat',['is_data_type_float',['../namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897',1,'arm_compute']]],
@@ -105,14 +108,13 @@
   ['is_5fopen',['is_open',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#a25c255918a7306769a9e3886166af935',1,'arm_compute::utils::IImageLoader::is_open()'],['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#ab1d89f579133c9b6779d43f4a1489874',1,'arm_compute::utils::PPMLoader::is_open()'],['../classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#ab1d89f579133c9b6779d43f4a1489874',1,'arm_compute::utils::JPEGLoader::is_open()'],['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a',1,'arm_compute::utils::NPYLoader::is_open()']]],
   ['is_5foptimized_5fexecution_5fpossible',['is_optimized_execution_possible',['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ae47fcb26c0f980ff3bbf89bec9086c54',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel']]],
   ['is_5fparallel_5freduction',['is_parallel_reduction',['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a78a33824fc1fd7c44535530ebd917eb4',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel']]],
-  ['is_5fparallelisable',['is_parallelisable',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CLFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPSortEuclideanDistanceKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPUpsampleKernel::is_parallelisable()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::GCFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b',1,'arm_compute::IKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEEdgeTraceKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEChannelCombineKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NECumulativeDistributionKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEFillArrayKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEIntegralImageKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEMinMaxLocationKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::is_parallelisable()']]],
-  ['is_5frecommended',['is_recommended',['../classarm__gemm_1_1_gemm_implementation.xhtml#a125b133eec3182fee84f6c148e502e55',1,'arm_gemm::GemmImplementation']]],
+  ['is_5fparallelisable',['is_parallelisable',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CLFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPSortEuclideanDistanceKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPTopKVKernel::is_parallelisable()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::CPPUpsampleKernel::is_parallelisable()'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::GCFillBorderKernel::is_parallelisable()'],['../classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b',1,'arm_compute::IKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEEdgeTraceKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEChannelCombineKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NECumulativeDistributionKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEFillArrayKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEIntegralImageKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEMinMaxLocationKernel::is_parallelisable()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a4370ae5fda7bd455a171fc8ed4d3f283',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::is_parallelisable()']]],
   ['is_5frequired',['is_required',['../classarm__compute_1_1utils_1_1_option.xhtml#ae5fcbfe1e97213aae098a4c0dc48ffe5',1,'arm_compute::utils::Option']]],
   ['is_5fresizable',['is_resizable',['../classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b',1,'arm_compute::ITensorInfo::is_resizable()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3',1,'arm_compute::SubTensorInfo::is_resizable()'],['../classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3',1,'arm_compute::TensorInfo::is_resizable()']]],
+  ['is_5fscaled',['is_scaled',['../classarm__compute_1_1_normalization_layer_info.xhtml#a97a1f3636f40206d67ff65902f7ff3a3',1,'arm_compute::NormalizationLayerInfo']]],
   ['is_5fselected',['is_selected',['../classarm__compute_1_1test_1_1framework_1_1_test_filter.xhtml#aa1631aec5fb0586629d6f634ffe6f8b4',1,'arm_compute::test::framework::TestFilter']]],
   ['is_5fset',['is_set',['../classarm__compute_1_1utils_1_1_option.xhtml#a8d75095e0ce4d0cc3ed6bc4733664a74',1,'arm_compute::utils::Option']]],
   ['is_5fsubtensor',['is_subtensor',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::CLSubTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::CLTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::GCTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::NESubTensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a053e439432ecb492f2c5df31a8b32e9d',1,'arm_compute::graph::backends::NETensorHandle::is_subtensor()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a291db670564498da17c4485776cb7783',1,'arm_compute::graph::ITensorHandle::is_subtensor()']]],
-  ['is_5fsupported',['is_supported',['../classarm__gemm_1_1_gemm_implementation.xhtml#a63e09c4b4bc29ae69b409c82df9d2e45',1,'arm_gemm::GemmImplementation::is_supported()'],['../classarm__gemm_1_1_gemm_impl__gemv__batched.xhtml#a266a06aeda864a1e05e15a3db9b2acd4',1,'arm_gemm::GemmImpl_gemv_batched::is_supported()']]],
   ['is_5ftarget_5fsupported',['is_target_supported',['../namespacearm__compute_1_1graph.xhtml#a6fd498c55b126dc3f078d38e8528effb',1,'arm_compute::graph']]],
   ['is_5fused',['is_used',['../classarm__compute_1_1_i_tensor.xhtml#a209ea2ddfdfa80703799c92da8beb643',1,'arm_compute::ITensor']]],
   ['is_5fvalid_5fpixel',['is_valid_pixel',['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml#a03098570a566d97570169cb6d3106b6e',1,'arm_compute::test::convolution_3d::detail']]],
@@ -123,7 +125,7 @@
   ['itensorallocator',['ITensorAllocator',['../classarm__compute_1_1_i_tensor_allocator.xhtml#af97d553d2aa86688c92db8ed9a67cf0e',1,'arm_compute::ITensorAllocator::ITensorAllocator()'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#ae82acbc677aa7d77c6a3f5e3547ef917',1,'arm_compute::ITensorAllocator::ITensorAllocator(const ITensorAllocator &amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a4fe09d257ff33e01defc7074ca22dc98',1,'arm_compute::ITensorAllocator::ITensorAllocator(ITensorAllocator &amp;&amp;)=default']]],
   ['iterate_5f2d',['iterate_2D',['../classarm__compute_1_1_window_iterator.xhtml#afe28f7af9bc72174c40a983bd63736da',1,'arm_compute::WindowIterator']]],
   ['iterate_5f3d',['iterate_3D',['../classarm__compute_1_1_window_iterator.xhtml#af80b51b60eba1fd0d9a83a757b0f3241',1,'arm_compute::WindowIterator']]],
-  ['iterator',['Iterator',['../classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b',1,'arm_compute::Iterator::Iterator()'],['../classarm__compute_1_1_iterator.xhtml#a92d6469b972ef1e52b55b1ad7da70b02',1,'arm_compute::Iterator::Iterator(const ITensor *tensor, const Window &amp;window)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const T_noref *dataset1, const U_noref *dataset2)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a0ceb4c44b179fa8d4d0f465ad5ce54e8',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#aca6a8613ae6d8960ace1c8894676ed3c',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#aa37b0870ac5c83d3181958225612be23',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a50a1c3269c88594989f4af782c3fc56f',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(std::string name, const T *value)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a81fdfd452825aa691b6f619ab4f4b349',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::iterator()']]],
+  ['iterator',['Iterator',['../classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b',1,'arm_compute::Iterator::Iterator()'],['../classarm__compute_1_1_iterator.xhtml#a92d6469b972ef1e52b55b1ad7da70b02',1,'arm_compute::Iterator::Iterator(const ITensor *tensor, const Window &amp;window)'],['../classarm__gemm_1_1_n_d_range.xhtml#a78a5c697e8717cb27954513e8ad2a508',1,'arm_gemm::NDRange::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const T_noref *dataset1, const U_noref *dataset2)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a0ceb4c44b179fa8d4d0f465ad5ce54e8',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#aca6a8613ae6d8960ace1c8894676ed3c',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a78cc7b5e65362760bcd99d070d163e94',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#aa37b0870ac5c83d3181958225612be23',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::iterator()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a50a1c3269c88594989f4af782c3fc56f',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(std::string name, const T *value)'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#acb3b5c956de1c36eb15a8fc1fa40a20b',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#ae209542a19b7564587940c6606fa4181',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::iterator(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#a81fdfd452825aa691b6f619ab4f4b349',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::iterator()']]],
   ['iyuv_5fto_5fnv12_5fbt709',['IYUV_to_NV12_bt709',['../color__convert_8cl.xhtml#a47fa13a636a45eaa621bdbcbb206895f',1,'color_convert.cl']]],
   ['iyuv_5fto_5frgb888_5fbt709',['IYUV_to_RGB888_bt709',['../color__convert_8cl.xhtml#a40d2fa0803ea5b0e979dc124a2606564',1,'color_convert.cl']]],
   ['iyuv_5fto_5frgba8888_5fbt709',['IYUV_to_RGBA8888_bt709',['../color__convert_8cl.xhtml#a7a8a4562d5b32de4a1d1352712d9c782',1,'color_convert.cl']]],
diff --git a/documentation/search/functions_9.html b/documentation/search/functions_9.html
index c73f07b..0f05a8b 100644
--- a/documentation/search/functions_9.html
+++ b/documentation/search/functions_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_a.html b/documentation/search/functions_a.html
index f10ad63..03faad2 100644
--- a/documentation/search/functions_a.html
+++ b/documentation/search/functions_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_a.js b/documentation/search/functions_a.js
index d5165e6..e020263 100644
--- a/documentation/search/functions_a.js
+++ b/documentation/search/functions_a.js
@@ -2,6 +2,7 @@
 [
   ['k',['k',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#ab86946326c4e33cbfb38cef7312b4ae5',1,'arm_compute::GEMMReshapeInfo']]],
   ['kappa',['kappa',['../classarm__compute_1_1_normalization_layer_info.xhtml#afb71e43799c794c059aa2d6244bd3140',1,'arm_compute::NormalizationLayerInfo']]],
+  ['keep_5ftop_5fk',['keep_top_k',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a381583deeb7c92f3b86d959c1e6c8185',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['kernel',['Kernel',['../classarm__compute_1_1_kernel.xhtml#a4d7fb588e6d609d95d8cd491492ed420',1,'arm_compute::Kernel::Kernel()'],['../classarm__compute_1_1_kernel.xhtml#a83af2718294984c1053223a928164a7b',1,'arm_compute::Kernel::Kernel(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a1d1e423ba4b26fdf460aa45bbc4457d1',1,'arm_compute::Kernel::Kernel(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a8b2bcac315357d36294d68948e51b925',1,'arm_compute::Kernel::Kernel(std::string name, const cl::Program &amp;program)'],['../classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e',1,'arm_compute::ICLKernel::kernel()'],['../classarm__compute_1_1_i_g_c_kernel.xhtml#a3b8f9d088e013cfbb039fd0ebbe42589',1,'arm_compute::IGCKernel::kernel()']]],
   ['kernel_5fevent_5fis_5fset',['kernel_event_is_set',['../classarm__compute_1_1_c_l_tuner.xhtml#ac6fe363cafdd1fcfb6179a7cceac7dad',1,'arm_compute::CLTuner']]],
   ['kernel_5fsize',['kernel_size',['../classarm__compute_1_1_weights_info.xhtml#a1fba899b6ce8e0a8f4091031d75b0241',1,'arm_compute::WeightsInfo']]],
diff --git a/documentation/search/functions_b.html b/documentation/search/functions_b.html
index 172ea1b..c690013 100644
--- a/documentation/search/functions_b.html
+++ b/documentation/search/functions_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_b.js b/documentation/search/functions_b.js
index a082bf8..408ea64 100644
--- a/documentation/search/functions_b.js
+++ b/documentation/search/functions_b.js
@@ -23,6 +23,7 @@
   ['load_5ftrained_5fdata',['load_trained_data',['../namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc',1,'arm_compute::utils']]],
   ['locally_5fconnected',['locally_connected',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac2ec089a63eb5f7980a98d7ac1ef8377',1,'arm_compute::test::validation::reference::locally_connected(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; TB &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a86290449cccd9f7ea563247982525a64',1,'arm_compute::test::validation::reference::locally_connected(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info)']]],
   ['lock_5fpool',['lock_pool',['../classarm__compute_1_1_i_pool_manager.xhtml#abab838bc75d6ecf91c0c278fff0e3d6f',1,'arm_compute::IPoolManager::lock_pool()'],['../classarm__compute_1_1_pool_manager.xhtml#a8c9b1303494f430941f09e2ad47f9055',1,'arm_compute::PoolManager::lock_pool()']]],
+  ['lock_5fto_5freshape_5fif_5fneeded',['lock_to_reshape_if_needed',['../classarm__compute_1_1_i_buffer_manager.xhtml#aa724f24e6a4209431ca34e44bac30efd',1,'arm_compute::IBufferManager']]],
   ['log',['log',['../classarm__compute_1_1logging_1_1_logger.xhtml#a50292ee16d3334856912eb89cffbcf83',1,'arm_compute::logging::Logger::log(LogLevel log_level, const std::string &amp;msg)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a88fd6412cd6130ea020aa6447caab747',1,'arm_compute::logging::Logger::log(LogLevel log_level, const std::string &amp;fmt, Ts &amp;&amp;... args)']]],
   ['log_5ffailed_5fexpectation',['log_failed_expectation',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0128e62cd67888b56078dac05dd59761',1,'arm_compute::test::framework::Framework']]],
   ['log_5fformat_5ffrom_5fname',['log_format_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#a613d31469acfd34ea5c3df83e6d9f5f3',1,'arm_compute::test::framework']]],
@@ -32,9 +33,8 @@
   ['log_5ftest_5fend',['log_test_end',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab2cd8b6e8e0aac442fc1e35ad9e1ac45',1,'arm_compute::test::framework::Framework']]],
   ['log_5ftest_5fskipped',['log_test_skipped',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5a2d19934af27623634c5ab3c47a9446',1,'arm_compute::test::framework::Framework']]],
   ['log_5ftest_5fstart',['log_test_start',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8135a21178dd34ec3b334b83381269a',1,'arm_compute::test::framework::Framework']]],
-  ['logger',['Logger',['../classarm__compute_1_1logging_1_1_logger.xhtml#a421744d0932b362cbff55c07488c1356',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::shared_ptr&lt; Printer &gt; printer)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a01f79c5a395126e28073498412c67df6',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers={})'],['../classarm__compute_1_1logging_1_1_logger.xhtml#afcbbbc3fb4ed100c21f274a9862c63ae',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers, std::vector&lt; std::unique_ptr&lt; IDecorator &gt;&gt; decorators)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a75f49292d95d30b860d000005cf179a1',1,'arm_compute::logging::Logger::Logger(Logger &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_logger.xhtml#aa7f3dbfbd2426b4874750f08bd23bd7f',1,'arm_compute::logging::Logger::Logger(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a5f299e6e397e718ede2547ed94bce835',1,'arm_compute::logging::LoggerRegistry::logger()']]],
+  ['logger',['logger',['../classarm__compute_1_1logging_1_1_logger_registry.xhtml#a5f299e6e397e718ede2547ed94bce835',1,'arm_compute::logging::LoggerRegistry::logger()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a421744d0932b362cbff55c07488c1356',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::shared_ptr&lt; Printer &gt; printer)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a01f79c5a395126e28073498412c67df6',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers={})'],['../classarm__compute_1_1logging_1_1_logger.xhtml#afcbbbc3fb4ed100c21f274a9862c63ae',1,'arm_compute::logging::Logger::Logger(std::string name, LogLevel log_level, std::vector&lt; std::shared_ptr&lt; Printer &gt;&gt; printers, std::vector&lt; std::unique_ptr&lt; IDecorator &gt;&gt; decorators)'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a75f49292d95d30b860d000005cf179a1',1,'arm_compute::logging::Logger::Logger(Logger &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_logger.xhtml#aa7f3dbfbd2426b4874750f08bd23bd7f',1,'arm_compute::logging::Logger::Logger(const Logger &amp;)=delete']]],
   ['logistic',['logistic',['../structarm__compute_1_1detail_1_1logistic.xhtml#acc88ba0c63f13eb31d3ea818a04dbd90',1,'arm_compute::detail::logistic']]],
-  ['logistic_5fop',['logistic_op',['../activation__layer__qa8_8cl.xhtml#a7c4dbd924da062c3dc248dcc4993884e',1,'activation_layer_qa8.cl']]],
   ['logmsg',['LogMsg',['../structarm__compute_1_1logging_1_1_log_msg.xhtml#a7a52b7ac5573a192829860829803041c',1,'arm_compute::logging::LogMsg::LogMsg()'],['../structarm__compute_1_1logging_1_1_log_msg.xhtml#a8c55b53c8a48244a70681a7e09f08045',1,'arm_compute::logging::LogMsg::LogMsg(std::string msg, LogLevel log_level=LogLevel::OFF)']]],
   ['lower_5fstring',['lower_string',['../namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5',1,'arm_compute']]],
   ['lowest',['lowest',['../namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e',1,'arm_compute::support::cpp11']]],
diff --git a/documentation/search/functions_c.html b/documentation/search/functions_c.html
index 99492ba..3b2976a 100644
--- a/documentation/search/functions_c.html
+++ b/documentation/search/functions_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_c.js b/documentation/search/functions_c.js
index d5e052c..11fdb41 100644
--- a/documentation/search/functions_c.js
+++ b/documentation/search/functions_c.js
@@ -5,7 +5,7 @@
   ['magnitude_5fl1',['magnitude_l1',['../magnitude__phase_8cl.xhtml#aedc7e5ee4cb8f5a0240e422f9a9e7ce9',1,'magnitude_phase.cl']]],
   ['magnitude_5fl2',['magnitude_l2',['../magnitude__phase_8cl.xhtml#aec9387519a61474acb0b2bf90ef6d94d',1,'magnitude_phase.cl']]],
   ['magnitude_5fphase',['magnitude_phase',['../magnitude__phase_8cl.xhtml#a76ac02e1f05a26f67090c9464434e04a',1,'magnitude_phase.cl']]],
-  ['main',['main',['../cl__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_convolution.cpp'],['../cl__events_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_events.cpp'],['../cl__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_sgemm.cpp'],['../gc__absdiff_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_absdiff.cpp'],['../gc__dc_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_dc.cpp'],['../graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_alexnet.cpp'],['../graph__googlenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_googlenet.cpp'],['../graph__inception__resnet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v2.cpp'],['../graph__inception__v3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v3.cpp'],['../graph__inception__v4_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v4.cpp'],['../graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_lenet.cpp'],['../graph__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet.cpp'],['../graph__mobilenet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet_v2.cpp'],['../graph__resnet50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet50.cpp'],['../graph__resnet__v2__50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet_v2_50.cpp'],['../graph__resnext50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnext50.cpp'],['../graph__shufflenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_shufflenet.cpp'],['../graph__squeezenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet.cpp'],['../graph__squeezenet__v1__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet_v1_1.cpp'],['../graph__vgg16_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg16.cpp'],['../graph__vgg19_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg19.cpp'],['../graph__yolov3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_yolov3.cpp'],['../neon__cartoon__effect_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cartoon_effect.cpp'],['../neon__cnn_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cnn.cpp'],['../neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_convolution.cpp'],['../neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_copy_objects.cpp'],['../neon__scale_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_scale.cpp'],['../neon__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_sgemm.cpp'],['../neoncl__scale__median__gaussian_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neoncl_scale_median_gaussian.cpp'],['../main_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;main.cpp']]],
+  ['main',['main',['../cl__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_convolution.cpp'],['../cl__events_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_events.cpp'],['../cl__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;cl_sgemm.cpp'],['../gc__absdiff_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_absdiff.cpp'],['../gc__dc_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;gc_dc.cpp'],['../graph__alexnet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_alexnet.cpp'],['../graph__googlenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_googlenet.cpp'],['../graph__inception__resnet__v1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v1.cpp'],['../graph__inception__resnet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_resnet_v2.cpp'],['../graph__inception__v3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v3.cpp'],['../graph__inception__v4_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_inception_v4.cpp'],['../graph__lenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_lenet.cpp'],['../graph__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet.cpp'],['../graph__mobilenet__v2_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_mobilenet_v2.cpp'],['../graph__resnet12_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet12.cpp'],['../graph__resnet50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet50.cpp'],['../graph__resnet__v2__50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnet_v2_50.cpp'],['../graph__resnext50_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_resnext50.cpp'],['../graph__shufflenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_shufflenet.cpp'],['../graph__squeezenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet.cpp'],['../graph__squeezenet__v1__1_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_squeezenet_v1_1.cpp'],['../graph__srcnn955_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_srcnn955.cpp'],['../graph__ssd__mobilenet_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_ssd_mobilenet.cpp'],['../graph__vgg16_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg16.cpp'],['../graph__vgg19_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg19.cpp'],['../graph__vgg__vdsr_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_vgg_vdsr.cpp'],['../graph__yolov3_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;graph_yolov3.cpp'],['../neon__cartoon__effect_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cartoon_effect.cpp'],['../neon__cnn_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_cnn.cpp'],['../neon__convolution_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_convolution.cpp'],['../neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_copy_objects.cpp'],['../neon__scale_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_scale.cpp'],['../neon__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neon_sgemm.cpp'],['../neoncl__scale__median__gaussian_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;neoncl_scale_median_gaussian.cpp'],['../main_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627',1,'main(int argc, char **argv):&#160;main.cpp']]],
   ['make',['make',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a15cffdfdea029e4617b983044f27f25e',1,'arm_compute::test::framework::TestCaseFactory::make()'],['../classarm__compute_1_1test_1_1framework_1_1_simple_test_case_factory.xhtml#a48d02d3cc8555c4439748dfa76e5c8ea',1,'arm_compute::test::framework::SimpleTestCaseFactory::make()'],['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#a48d02d3cc8555c4439748dfa76e5c8ea',1,'arm_compute::test::framework::DataTestCaseFactory::make()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b',1,'arm_compute::test::framework::dataset::make(std::string name, T &amp;&amp;values)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a3989b2ae4676e8d55692df89c0b1840b',1,'arm_compute::test::framework::dataset::make(std::string name, std::initializer_list&lt; T &gt; &amp;&amp;list)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a79a0f3a3229c216adf314eb6030d6e24',1,'arm_compute::test::framework::dataset::make(std::string name, T start, T end, T step=1)'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a295c6355f21fa6cf19ab8ef26ed2edd0',1,'arm_compute::test::framework::dataset::make(std::string name, T &amp;&amp;value)']]],
   ['make_5farray',['make_array',['../namespacearm__compute_1_1utility_1_1detail.xhtml#aae92fd77ef96d27bc5b5a10258da66cc',1,'arm_compute::utility::detail::make_array()'],['../namespacearm__compute_1_1utility.xhtml#ab7c665e19081aef1a68ec0090b4c7be6',1,'arm_compute::utility::make_array()']]],
   ['make_5finstrument',['make_instrument',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ab6ac86ac15a8211221f1721d6a4ee889',1,'arm_compute::test::framework::Instrument']]],
@@ -17,11 +17,10 @@
   ['map',['map',['../classarm__compute_1_1_i_c_l_array.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0',1,'arm_compute::ICLArray::map()'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0',1,'arm_compute::ICLDistribution1D::map()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0',1,'arm_compute::ICLHOG::map()'],['../classarm__compute_1_1_i_c_l_lut.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0',1,'arm_compute::ICLLut::map()'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0',1,'arm_compute::ICLTensor::map()'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::IGCTensor::map()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a632fc6b53adbe0e2ecde859085241cdc',1,'arm_compute::graph::backends::CLSubTensorHandle::map()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#a632fc6b53adbe0e2ecde859085241cdc',1,'arm_compute::graph::backends::CLTensorHandle::map()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a632fc6b53adbe0e2ecde859085241cdc',1,'arm_compute::graph::backends::GCTensorHandle::map()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a632fc6b53adbe0e2ecde859085241cdc',1,'arm_compute::graph::backends::NESubTensorHandle::map()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a632fc6b53adbe0e2ecde859085241cdc',1,'arm_compute::graph::backends::NETensorHandle::map()'],['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a9b4f692472539da81670d157ac35257c',1,'arm_compute::graph::ITensorHandle::map()'],['../classarm__compute_1_1_c_l_array.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLArray::map()'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLDistribution1D::map()'],['../classarm__compute_1_1_c_l_h_o_g.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLHOG::map()'],['../classarm__compute_1_1_c_l_lut.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLLut::map()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a15eaecea13a8a49c8d259fddefcbd7ac',1,'arm_compute::CLLutAllocator::map()'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#a929af627a6a0430539998d12024d6c69',1,'arm_compute::ICLMemoryRegion::map()'],['../classarm__compute_1_1_c_l_buffer_memory_region.xhtml#a518b9e7c59ddb616c098499d7c50f378',1,'arm_compute::CLBufferMemoryRegion::map()'],['../classarm__compute_1_1_c_l_coarse_s_v_m_memory_region.xhtml#a518b9e7c59ddb616c098499d7c50f378',1,'arm_compute::CLCoarseSVMMemoryRegion::map()'],['../classarm__compute_1_1_c_l_fine_s_v_m_memory_region.xhtml#a518b9e7c59ddb616c098499d7c50f378',1,'arm_compute::CLFineSVMMemoryRegion::map()'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLSubTensor::map()'],['../classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::CLTensor::map()'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a15eaecea13a8a49c8d259fddefcbd7ac',1,'arm_compute::CLTensorAllocator::map()'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a5a589966a248f6e2a958f8dff2550418',1,'arm_compute::IGCMemoryRegion::map()'],['../classarm__compute_1_1_g_c_buffer_memory_region.xhtml#a00ece8dea7f4aa930272fda661da87ea',1,'arm_compute::GCBufferMemoryRegion::map()'],['../classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002',1,'arm_compute::GCTensor::map()'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a7ffd0f6fedc0eb3725d601f19a164631',1,'arm_compute::GCTensorAllocator::map()'],['../namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf',1,'arm_compute::utils::map()']]],
   ['mapping_5ftype',['mapping_type',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::BlobLifetimeManager::mapping_type()'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::BlobMemoryPool::mapping_type()'],['../classarm__compute_1_1_i_lifetime_manager.xhtml#a2f4d2a4f6dd83e9ad1578450c31357db',1,'arm_compute::ILifetimeManager::mapping_type()'],['../classarm__compute_1_1_i_memory_pool.xhtml#a2f4d2a4f6dd83e9ad1578450c31357db',1,'arm_compute::IMemoryPool::mapping_type()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::OffsetLifetimeManager::mapping_type()'],['../classarm__compute_1_1_offset_memory_pool.xhtml#aafd3aa9650b1e764b085c76c4faa4cd5',1,'arm_compute::OffsetMemoryPool::mapping_type()']]],
   ['mappings',['mappings',['../classarm__compute_1_1_i_memory_group.xhtml#aa4f0ba2c065527f486249f37350a235c',1,'arm_compute::IMemoryGroup::mappings()'],['../classarm__compute_1_1_memory_group_base.xhtml#a0a9171fb9c729a0a08b1d0ff3a5e3309',1,'arm_compute::MemoryGroupBase::mappings()']]],
-  ['mark_5fas_5funused',['mark_as_unused',['../classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2',1,'arm_compute::ITensor']]],
+  ['mark_5fas_5freshaped',['mark_as_reshaped',['../classarm__compute_1_1_i_buffer_manager.xhtml#a5d04fd48130e6eb9863efd81f0b1e361',1,'arm_compute::IBufferManager']]],
+  ['mark_5fas_5funused',['mark_as_unused',['../classarm__compute_1_1_i_tensor.xhtml#a9bc00234de9adf8c99a21eb1d7d494c2',1,'arm_compute::ITensor::mark_as_unused()'],['../classarm__compute_1_1_i_buffer_manager.xhtml#a69eeef30ae577be80ee40fa9d3274702',1,'arm_compute::IBufferManager::mark_as_unused()']]],
   ['matrix_5fmultiply',['matrix_multiply',['../namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, SimpleTensor&lt; T &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acbc4dbbbef320e2c708b895d5a26194e',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, SimpleTensor&lt; float &gt; &amp;out)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac15bf271877edef9823306e4d1cb43f5',1,'arm_compute::test::validation::matrix_multiply(const SimpleTensor&lt; half &gt; &amp;a, const SimpleTensor&lt; half &gt; &amp;b, SimpleTensor&lt; half &gt; &amp;out)']]],
   ['max',['max',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a549818ca69a3bd602b38701d13ef5294',1,'arm_compute::test::framework::InstrumentsStats']]],
-  ['max_5fconsecutive_5felements_5fdisplay_5fwidth',['max_consecutive_elements_display_width',['../namespacearm__compute.xhtml#adfbf24db2a651269a83f7e49e2b86850',1,'arm_compute']]],
-  ['max_5fconsecutive_5felements_5fdisplay_5fwidth_5fimpl',['max_consecutive_elements_display_width_impl',['../namespacearm__compute.xhtml#aaecee617b967dd96f27d2f36732fb68e',1,'arm_compute']]],
   ['max_5flocal_5fworkgroup_5fsize',['max_local_workgroup_size',['../classarm__compute_1_1_c_l_kernel_library.xhtml#aaeda307cc2131afa8a4764e38373f94e',1,'arm_compute::CLKernelLibrary']]],
   ['max_5fnum_5fvalues',['max_num_values',['../classarm__compute_1_1_i_array.xhtml#ad4d0d4b95cde1aa24a381859d3b80a5e',1,'arm_compute::IArray']]],
   ['max_5fsizes',['max_sizes',['../classarm__compute_1_1_prior_box_layer_info.xhtml#a985940fefc02bdbc0ea1c916bb0ac82b',1,'arm_compute::PriorBoxLayerInfo']]],
@@ -45,8 +44,8 @@
   ['memoryregion',['MemoryRegion',['../classarm__compute_1_1_memory_region.xhtml#ad947765609255e0a67a384cd475fe83e',1,'arm_compute::MemoryRegion::MemoryRegion(size_t size, size_t alignment=0)'],['../classarm__compute_1_1_memory_region.xhtml#aee98ba000578ad694264595385997304',1,'arm_compute::MemoryRegion::MemoryRegion(void *ptr, size_t size)'],['../classarm__compute_1_1_memory_region.xhtml#a32d4629fe7aa6093bbe54599319d08fa',1,'arm_compute::MemoryRegion::MemoryRegion(const MemoryRegion &amp;)=delete'],['../classarm__compute_1_1_memory_region.xhtml#ab2306b6e5516e7ffa160156a4ba2739e',1,'arm_compute::MemoryRegion::MemoryRegion(MemoryRegion &amp;&amp;)=default']]],
   ['merge',['Merge',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#aaecd166dc5d1163768d1553a013c30f8',1,'arm_gemm::StdTransformsFixed::Merge()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#aaecd166dc5d1163768d1553a013c30f8',1,'arm_gemm::StdTransformsSVE::Merge()']]],
   ['mergeresults',['MergeResults',['../namespacearm__gemm.xhtml#a4c160021f8ceaa70922f23cafd6b3c99',1,'arm_gemm']]],
-  ['method_5fis_5fcompatible',['method_is_compatible',['../namespacearm__gemm.xhtml#a27b679bd321b27436cef047dd4ee8266',1,'arm_gemm']]],
-  ['method_5fis_5fcompatible_3c_20float_2c_20float_20_3e',['method_is_compatible&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a409b3529a2cd017beac811d67006a7da',1,'arm_gemm']]],
+  ['method_5fis_5fcompatible',['method_is_compatible',['../namespacearm__gemm.xhtml#a4d2763e21b221cb737e41bd90443c3de',1,'arm_gemm']]],
+  ['method_5fis_5fcompatible_3c_20float_2c_20float_20_3e',['method_is_compatible&lt; float, float &gt;',['../namespacearm__gemm.xhtml#a791d95ca13db6a0d41f12fc3e3e2c180',1,'arm_gemm']]],
   ['min',['min',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a73fed91ed99e2b505f25304d29924fac',1,'arm_compute::test::framework::InstrumentsStats']]],
   ['min_5fmax_5flocation',['min_max_location',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac5e4b8af4086cce7dac5667735daf91a',1,'arm_compute::test::validation::reference::min_max_location(const SimpleTensor&lt; T &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab2647e679a5282c102f65c83d08043a7',1,'arm_compute::test::validation::reference::min_max_location(const SimpleTensor&lt; uint8_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa4de1dd61ace6805d93248d25c0b2caa',1,'arm_compute::test::validation::reference::min_max_location(const SimpleTensor&lt; int16_t &gt; &amp;src)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aff675bcce573bbd26e6d531b2e073ab8',1,'arm_compute::test::validation::reference::min_max_location(const SimpleTensor&lt; float &gt; &amp;src)']]],
   ['min_5fsize',['min_size',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#aa7d375782a8b80e3d4efee296a059855',1,'arm_compute::BoxNMSLimitInfo::min_size()'],['../classarm__compute_1_1_generate_proposals_info.xhtml#aa7d375782a8b80e3d4efee296a059855',1,'arm_compute::GenerateProposalsInfo::min_size()']]],
diff --git a/documentation/search/functions_d.html b/documentation/search/functions_d.html
index 5be9ecc..0c54246 100644
--- a/documentation/search/functions_d.html
+++ b/documentation/search/functions_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_d.js b/documentation/search/functions_d.js
index 04e8811..0de8ba0 100644
--- a/documentation/search/functions_d.js
+++ b/documentation/search/functions_d.js
@@ -1,14 +1,16 @@
 var searchData=
 [
   ['n',['n',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#a841b7b7f4c7b50931fabb298cfb7bed3',1,'arm_compute::GEMMReshapeInfo']]],
-  ['name',['name',['../classarm__compute_1_1_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Program::name()'],['../classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Kernel::name()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a',1,'arm_compute::ICPPKernel::name()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::name()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPCornerCandidatesKernel::name()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::name()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPFlipWeightsKernel::name()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPPermuteKernel::name()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPSortEuclideanDistanceKernel::name()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPUpsampleKernel::name()'],['../classarm__compute_1_1_g_c_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCProgram::name()'],['../classarm__compute_1_1_g_c_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCKernel::name()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAbsoluteDifferenceKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateWeightedKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateSquaredKernel::name()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEActivationLayerKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticAdditionKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticSubtractionKernel::name()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBatchNormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseAndKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseNotKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseOrKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseXorKernel::name()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBox3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGradientKernel::name()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::name()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeTraceKernel::name()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelCombineKernel::name()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelExtractKernel::name()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelShuffleLayerKernel::name()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECol2ImKernel::name()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEColorConvertKernel::name()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::name()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionHorKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionVertKernel::name()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionRectangleKernel::name()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECopyKernel::name()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECumulativeDistributionKernel::name()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConvertLayerKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::name()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseVectorToTensorKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDequantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDerivativeKernel::name()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDilateKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::name()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEErodeKernel::name()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFastCornersKernel::name()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillArrayKernel::name()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillBorderKernel::name()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillInnerBorderKernel::name()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFlattenLayerKernel::name()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFloorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidHorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidVertKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMAssemblyBaseKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMInterleave4x4Kernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAdditionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMTranspose1xWKernel::name()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHarrisScoreKernel::name()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHistogramKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGOrientationBinningKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGBlockNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGDetectorKernel::name()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIntegralImageKernel::name()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEL2NormalizeLayerKernel::name()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELKTrackerKernel::name()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMagnitudePhaseKernel::name()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMeanStdDevKernel::name()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMedian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLayerKernel::name()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxKernel::name()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLocationKernel::name()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonLinearFilterKernel::name()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonMaximaSuppression3x3Kernel::name()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPermuteKernel::name()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPixelWiseMultiplicationKernel::name()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPriorBoxLayerKernel::name()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEQuantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReductionOperationKernel::name()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERemapKernel::name()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReorgLayerKernel::name()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReshapeLayerKernel::name()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEROIPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScaleKernel::name()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScharr3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7VertKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DMaxKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DSoftmaxKernel::name()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETableLookupKernel::name()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEThresholdKernel::name()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETransposeKernel::name()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEUpsampleLayerKernel::name()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWidthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformInputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformOutputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::name()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEYOLOLayerKernel::name()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::logging::Logger::name()'],['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#ad8227ba86a01f26e4f173cd5e219d5d1',1,'arm_compute::graph::frontend::ILayer::name()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::Graph::name()'],['../classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a3690f13206df6f6103bae8ae3ceee528',1,'arm_compute::graph::IGraphMutator::name()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::INode::name()'],['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::DepthConcatSubTensorMutator::name()'],['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::GroupedConvolutionMutator::name()'],['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::InPlaceOperationMutator::name()'],['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeExecutionMethodMutator::name()'],['../classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeFusionMutator::name()'],['../classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::SplitLayerSubTensorMutator::name()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::dataset::NamedDataset::name()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::TestCaseFactory::name()'],['../classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::utils::Option::name()']]],
+  ['name',['name',['../classarm__compute_1_1_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Program::name()'],['../classarm__compute_1_1_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::Kernel::name()'],['../classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a',1,'arm_compute::ICPPKernel::name()'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::name()'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPCornerCandidatesKernel::name()'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::name()'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPFlipWeightsKernel::name()'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPPermuteKernel::name()'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPSortEuclideanDistanceKernel::name()'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPTopKVKernel::name()'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::CPPUpsampleKernel::name()'],['../classarm__compute_1_1_g_c_program.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCProgram::name()'],['../classarm__compute_1_1_g_c_kernel.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::GCKernel::name()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAbsoluteDifferenceKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateWeightedKernel::name()'],['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEAccumulateSquaredKernel::name()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEActivationLayerKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticAdditionKernel::name()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEArithmeticSubtractionKernel::name()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBatchNormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseAndKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseNotKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseOrKernel::name()'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBitwiseXorKernel::name()'],['../classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEBox3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGradientKernel::name()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::name()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEEdgeTraceKernel::name()'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelCombineKernel::name()'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelExtractKernel::name()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEChannelShuffleLayerKernel::name()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECol2ImKernel::name()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEColorConvertKernel::name()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::name()'],['../classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionHorKernel::name()'],['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESeparableConvolutionVertKernel::name()'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEConvolutionRectangleKernel::name()'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECopyKernel::name()'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NECumulativeDistributionKernel::name()'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthConvertLayerKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::name()'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseVectorToTensorKernel::name()'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDequantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDerivativeKernel::name()'],['../classarm__compute_1_1_n_e_dilate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDilateKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerKernel::name()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::name()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEElementwiseOperationKernel::name()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEElementwiseUnaryKernel::name()'],['../classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEErodeKernel::name()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFastCornersKernel::name()'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillArrayKernel::name()'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillBorderKernel::name()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFillInnerBorderKernel::name()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFlattenLayerKernel::name()'],['../classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFloorKernel::name()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEFuseBatchNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGatherKernel::name()'],['../classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussian5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidHorKernel::name()'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGaussianPyramidVertKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMAssemblyBaseKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMInterleave4x4Kernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixAReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMLowpMatrixBReductionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixAdditionKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEGEMMTranspose1xWKernel::name()'],['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHarrisScoreKernel::name()'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHistogramKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGOrientationBinningKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGBlockNormalizationKernel::name()'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEHOGDetectorKernel::name()'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIm2ColKernel::name()'],['../classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEIntegralImageKernel::name()'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEL2NormalizeLayerKernel::name()'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELKTrackerKernel::name()'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::name()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMagnitudePhaseKernel::name()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMeanStdDevKernel::name()'],['../classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMedian3x3Kernel::name()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMemsetKernel::name()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLayerKernel::name()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxKernel::name()'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEMinMaxLocationKernel::name()'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonLinearFilterKernel::name()'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENonMaximaSuppression3x3Kernel::name()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NENormalizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPermuteKernel::name()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPixelWiseMultiplicationKernel::name()'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEPriorBoxLayerKernel::name()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEQuantizationLayerKernel::name()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERangeKernel::name()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReductionOperationKernel::name()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NERemapKernel::name()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReorgLayerKernel::name()'],['../classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReshapeLayerKernel::name()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEReverseKernel::name()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEROIPoolingLayerKernel::name()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScaleKernel::name()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEScharr3x3Kernel::name()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESelectKernel::name()'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel3x3Kernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel5x5VertKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7HorKernel::name()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NESobel7x7VertKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DMaxKernel::name()'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NELogits1DSoftmaxKernel::name()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEStackLayerKernel::name()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEStridedSliceKernel::name()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETableLookupKernel::name()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEThresholdKernel::name()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETileKernel::name()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NETransposeKernel::name()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEUpsampleLayerKernel::name()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWeightsReshapeKernel::name()'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWidthConcatenateLayerKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformInputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformOutputKernel::name()'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::name()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828',1,'arm_compute::NEYOLOLayerKernel::name()'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::logging::Logger::name()'],['../classarm__compute_1_1graph_1_1frontend_1_1_i_layer.xhtml#ad8227ba86a01f26e4f173cd5e219d5d1',1,'arm_compute::graph::frontend::ILayer::name()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::Graph::name()'],['../classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a3690f13206df6f6103bae8ae3ceee528',1,'arm_compute::graph::IGraphMutator::name()'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::graph::INode::name()'],['../classarm__compute_1_1graph_1_1_depth_concat_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::DepthConcatSubTensorMutator::name()'],['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::GroupedConvolutionMutator::name()'],['../classarm__compute_1_1graph_1_1_in_place_operation_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::InPlaceOperationMutator::name()'],['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeExecutionMethodMutator::name()'],['../classarm__compute_1_1graph_1_1_node_fusion_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::NodeFusionMutator::name()'],['../classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68',1,'arm_compute::graph::SplitLayerSubTensorMutator::name()'],['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::dataset::NamedDataset::name()'],['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::test::framework::TestCaseFactory::name()'],['../classarm__compute_1_1utils_1_1_option.xhtml#a1d89c28bd42ba9a52da008bb69367171',1,'arm_compute::utils::Option::name()']]],
   ['nameddataset',['NamedDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf',1,'arm_compute::test::framework::dataset::NamedDataset']]],
-  ['ndrange',['NDRange',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b',1,'arm_compute::gles::NDRange::NDRange()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7034c83fdb870643b23e16799d342be5',1,'arm_compute::gles::NDRange::NDRange(size_t size0)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a11ab97399bf609ab45f24011bee86422',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a79ccb8003ef6ebe1c8e5b624fad982a6',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1, size_t size2)']]],
+  ['ndrange',['NDRange',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a78d11be062c5b55a7b35c3a74f7b2d9b',1,'arm_compute::gles::NDRange::NDRange()'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7034c83fdb870643b23e16799d342be5',1,'arm_compute::gles::NDRange::NDRange(size_t size0)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a11ab97399bf609ab45f24011bee86422',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1)'],['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a79ccb8003ef6ebe1c8e5b624fad982a6',1,'arm_compute::gles::NDRange::NDRange(size_t size0, size_t size1, size_t size2)'],['../classarm__gemm_1_1_n_d_range.xhtml#a42cd82b60b0abbfb79a26327b493e888',1,'arm_gemm::NDRange::NDRange()']]],
   ['neabsolutedifferencekernel',['NEAbsoluteDifferenceKernel',['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a813ee60454b4ddd26de77815a4f8fffb',1,'arm_compute::NEAbsoluteDifferenceKernel::NEAbsoluteDifferenceKernel()'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a3ea3f6066aa44e4322fe392abc8d6b3d',1,'arm_compute::NEAbsoluteDifferenceKernel::NEAbsoluteDifferenceKernel(const NEAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a56b181c68b40c083985bc4c82203388b',1,'arm_compute::NEAbsoluteDifferenceKernel::NEAbsoluteDifferenceKernel(NEAbsoluteDifferenceKernel &amp;&amp;)=default']]],
   ['neaccumulatesquaredkernel',['NEAccumulateSquaredKernel',['../classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a160d96f1b3b6fc7b1f5e8fd10617e34e',1,'arm_compute::NEAccumulateSquaredKernel']]],
   ['neaccumulateweightedkernel',['NEAccumulateWeightedKernel',['../classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a044d704971675daa53757df82be00583',1,'arm_compute::NEAccumulateWeightedKernel']]],
   ['neactivationlayerkernel',['NEActivationLayerKernel',['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel()'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a75a47991d84bf206ca93cec613eed70c',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a62a06a80629d965010527d57f48894fd',1,'arm_compute::NEActivationLayerKernel::NEActivationLayerKernel(NEActivationLayerKernel &amp;&amp;)=default']]],
+  ['neargminmaxlayer',['NEArgMinMaxLayer',['../classarm__compute_1_1_n_e_arg_min_max_layer.xhtml#a37cb3f505590afeefa744e4dded53580',1,'arm_compute::NEArgMinMaxLayer']]],
   ['nearithmeticadditionkernel',['NEArithmeticAdditionKernel',['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ad336181c06f2c2983212849bd9ebcd35',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel()'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab12c64a745f0eb7e3d9380214ebe1b82',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a109cb6df60acd8ec449f321a239750cc',1,'arm_compute::NEArithmeticAdditionKernel::NEArithmeticAdditionKernel(NEArithmeticAdditionKernel &amp;&amp;)=default']]],
+  ['nearithmeticoperationkernel',['NEArithmeticOperationKernel',['../classarm__compute_1_1_n_e_arithmetic_operation_kernel.xhtml#a2f102d09a50ed7a0f75e242f7ca53b68',1,'arm_compute::NEArithmeticOperationKernel']]],
   ['nearithmeticsubtractionkernel',['NEArithmeticSubtractionKernel',['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320',1,'arm_compute::NEArithmeticSubtractionKernel::NEArithmeticSubtractionKernel()'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a026b41642629bcc690e3b4fa82f820d1',1,'arm_compute::NEArithmeticSubtractionKernel::NEArithmeticSubtractionKernel(const NEArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a6501ef61f473949fc980b4ada8e18bad',1,'arm_compute::NEArithmeticSubtractionKernel::NEArithmeticSubtractionKernel(NEArithmeticSubtractionKernel &amp;&amp;)=default']]],
   ['nebatchnormalizationlayer',['NEBatchNormalizationLayer',['../classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994',1,'arm_compute::NEBatchNormalizationLayer']]],
   ['nebatchnormalizationlayerkernel',['NEBatchNormalizationLayerKernel',['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d',1,'arm_compute::NEBatchNormalizationLayerKernel::NEBatchNormalizationLayerKernel()'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a730c99eba78ee85f75f37933fde6b6da',1,'arm_compute::NEBatchNormalizationLayerKernel::NEBatchNormalizationLayerKernel(const NEBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#aa18ab98cab2bf614304feea9c95b0e9e',1,'arm_compute::NEBatchNormalizationLayerKernel::NEBatchNormalizationLayerKernel(NEBatchNormalizationLayerKernel &amp;&amp;)=default']]],
@@ -22,6 +24,7 @@
   ['nechannelshufflelayerkernel',['NEChannelShuffleLayerKernel',['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#ae901de9c2dc95caa2b6048957db15e1d',1,'arm_compute::NEChannelShuffleLayerKernel::NEChannelShuffleLayerKernel()'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a66e74719d993181b8229578942e69d8f',1,'arm_compute::NEChannelShuffleLayerKernel::NEChannelShuffleLayerKernel(const NEChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a31e75b74ceb6df32be4de8575f6a0f84',1,'arm_compute::NEChannelShuffleLayerKernel::NEChannelShuffleLayerKernel(NEChannelShuffleLayerKernel &amp;&amp;)=default']]],
   ['necol2imkernel',['NECol2ImKernel',['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a84d2ca986ac959613f3ed9c44185242c',1,'arm_compute::NECol2ImKernel::NECol2ImKernel()'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#adad68aacb0ee78bab2f9079780368dd7',1,'arm_compute::NECol2ImKernel::NECol2ImKernel(const NECol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#acf41b2ccc3a215765929d4a69616ada9',1,'arm_compute::NECol2ImKernel::NECol2ImKernel(NECol2ImKernel &amp;&amp;)=default']]],
   ['necolorconvertkernel',['NEColorConvertKernel',['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a9b2bcb8adfe5bd1ab71a73daf10dca6d',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel()'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#adc4007361101a56f38f1686590c3a6b5',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a3a287d251e851af82b2f540ca8db58ba',1,'arm_compute::NEColorConvertKernel::NEColorConvertKernel(NEColorConvertKernel &amp;&amp;)=default']]],
+  ['necomparisonoperationkernel',['NEComparisonOperationKernel',['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml#ade3c44c85aeecbf179e0327c9856c39e',1,'arm_compute::NEComparisonOperationKernel']]],
   ['neconcatenatelayer',['NEConcatenateLayer',['../classarm__compute_1_1_n_e_concatenate_layer.xhtml#a323553c0bffc8dda63242a297512d151',1,'arm_compute::NEConcatenateLayer']]],
   ['neconvertfullyconnectedweights',['NEConvertFullyConnectedWeights',['../classarm__compute_1_1_n_e_convert_fully_connected_weights.xhtml#aecbf55e0f00cef5c1378eb47099f336d',1,'arm_compute::NEConvertFullyConnectedWeights']]],
   ['neconvertfullyconnectedweightskernel',['NEConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a90b1dc1d6e41461530a27a0b98cff105',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel()'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a48ab53f2ca23eff4ed098bbe3fec15cd',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a4101e8c3da55fcd2cd1c2f565c4aba44',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default']]],
@@ -52,9 +55,12 @@
   ['nedirectconvolutionlayer',['NEDirectConvolutionLayer',['../classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#abfe12062903b497c501ad5127b77bd44',1,'arm_compute::NEDirectConvolutionLayer']]],
   ['nedirectconvolutionlayerkernel',['NEDirectConvolutionLayerKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac0cdf0dbaff299b1359714a7f70d6072',1,'arm_compute::NEDirectConvolutionLayerKernel::NEDirectConvolutionLayerKernel()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a2cb2b9e95ff81e666d4e11b645fee8db',1,'arm_compute::NEDirectConvolutionLayerKernel::NEDirectConvolutionLayerKernel(const NEDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a011feff0e8a189fd41f1712c2ab63745',1,'arm_compute::NEDirectConvolutionLayerKernel::NEDirectConvolutionLayerKernel(NEDirectConvolutionLayerKernel &amp;&amp;)=default']]],
   ['nedirectconvolutionlayeroutputstagekernel',['NEDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a30c40481bcf8b7a26d1354b33b1dccdb',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel()'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac9bdca54a1108e75fc382b3ada46429e',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac8b91f71cdcafc2a9fa40062ade2ea0a',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::NEDirectConvolutionLayerOutputStageKernel(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default']]],
+  ['nedivisionoperationkernel',['NEDivisionOperationKernel',['../classarm__compute_1_1_n_e_division_operation_kernel.xhtml#afc96fa047235667233e73836c97aa774',1,'arm_compute::NEDivisionOperationKernel']]],
   ['needgenonmaxsuppressionkernel',['NEEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a7e3beb7abd77b10e6630ae83f33e558b',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel()'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ad35f9c2b611ce360fa9811a2e1fa6d97',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a4403ce6bb21831222942bb8904201e42',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::NEEdgeNonMaxSuppressionKernel(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default']]],
   ['needgetracekernel',['NEEdgeTraceKernel',['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel()'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ac9756d4d8d467a0d67a845d31df49c9d',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#afef98c788326dbd5e66b085b5f9dd621',1,'arm_compute::NEEdgeTraceKernel::NEEdgeTraceKernel(NEEdgeTraceKernel &amp;&amp;)=default']]],
   ['needs_5fshifting',['needs_shifting',['../classarm__compute_1_1_i_g_c_tensor.xhtml#a95acb432c46c1f3a6b77eb88944e6c02',1,'arm_compute::IGCTensor']]],
+  ['neelementwiseoperationkernel',['NEElementwiseOperationKernel',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#accf25709b8d911f24214eaf7eecf30ae',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel()'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#ac201bea4780df819fbbb4398372dffd7',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel(const NEElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a880f0507b9cd994cd28e8c6fae58b2ef',1,'arm_compute::NEElementwiseOperationKernel::NEElementwiseOperationKernel(NEElementwiseOperationKernel &amp;&amp;)=default']]],
+  ['neelementwiseunarykernel',['NEElementwiseUnaryKernel',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a82bf6be583089b901440771c16801387',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel()'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#aeab775090054fffbc64645a939cd36e4',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel(const NEElementwiseUnaryKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a1bd8a2a54206c15a9e8df211535aee73',1,'arm_compute::NEElementwiseUnaryKernel::NEElementwiseUnaryKernel(NEElementwiseUnaryKernel &amp;&amp;)=default']]],
   ['neequalizehistogram',['NEEqualizeHistogram',['../classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e',1,'arm_compute::NEEqualizeHistogram']]],
   ['nefastcorners',['NEFastCorners',['../classarm__compute_1_1_n_e_fast_corners.xhtml#a28dfc2ab33e0f3cd2fda1cbea93148f1',1,'arm_compute::NEFastCorners']]],
   ['nefastcornerskernel',['NEFastCornersKernel',['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ad7651a9d61e2bbc1debf8aeea2594ae4',1,'arm_compute::NEFastCornersKernel::NEFastCornersKernel()'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a88a8968746967520f8c27d32dbb1ea4d',1,'arm_compute::NEFastCornersKernel::NEFastCornersKernel(const NEFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ade9c94beacc89e8b4768f6a3dcd5d373',1,'arm_compute::NEFastCornersKernel::NEFastCornersKernel(NEFastCornersKernel &amp;&amp;)=default']]],
@@ -63,6 +69,9 @@
   ['nefillinnerborderkernel',['NEFillInnerBorderKernel',['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#aa95aec621a23e04b38a66bd777125b26',1,'arm_compute::NEFillInnerBorderKernel::NEFillInnerBorderKernel()'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a3f451de2b9b4c74b5c66a1b9b0511836',1,'arm_compute::NEFillInnerBorderKernel::NEFillInnerBorderKernel(const NEFillInnerBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#aea506ad423462d6e2f6a63ba2107b812',1,'arm_compute::NEFillInnerBorderKernel::NEFillInnerBorderKernel(NEFillInnerBorderKernel &amp;&amp;)=default']]],
   ['neflattenlayerkernel',['NEFlattenLayerKernel',['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a866e6e56f9c8dd44ad3968ba45989bb7',1,'arm_compute::NEFlattenLayerKernel::NEFlattenLayerKernel()'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a44d72b5e73a997897f378e5e05628283',1,'arm_compute::NEFlattenLayerKernel::NEFlattenLayerKernel(const NEFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#acc1c6c5614747c25d84d0ac1bccba466',1,'arm_compute::NEFlattenLayerKernel::NEFlattenLayerKernel(NEFlattenLayerKernel &amp;&amp;)=default']]],
   ['nefullyconnectedlayer',['NEFullyConnectedLayer',['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b',1,'arm_compute::NEFullyConnectedLayer::NEFullyConnectedLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ae8b8211f8ff431633ad55b754638b805',1,'arm_compute::NEFullyConnectedLayer::NEFullyConnectedLayer(const NEFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ad5678ca257e666aff1554ea527cffd41',1,'arm_compute::NEFullyConnectedLayer::NEFullyConnectedLayer(NEFullyConnectedLayer &amp;&amp;)=default']]],
+  ['nefusebatchnormalization',['NEFuseBatchNormalization',['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a8c9f3b1b8b437c75f10a29c6464c7f57',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#aaa015eb4547a5cb0a9cb6adf3142dc66',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization(const NEFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#ab207569c8578c566b0eb1b6afc1a0ec5',1,'arm_compute::NEFuseBatchNormalization::NEFuseBatchNormalization(NEFuseBatchNormalization &amp;&amp;)=default']]],
+  ['nefusebatchnormalizationkernel',['NEFuseBatchNormalizationKernel',['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ac254b18a929efcdd8742b3467ca5c8ff',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel()'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#affe60b815f0625bd4679b1e87ca7e2a1',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel(const NEFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#ab040a8816f6320c4e6b20b4e51116c21',1,'arm_compute::NEFuseBatchNormalizationKernel::NEFuseBatchNormalizationKernel(NEFuseBatchNormalizationKernel &amp;&amp;)=default']]],
+  ['negatherkernel',['NEGatherKernel',['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a48dd056d3f0caf6e38a4c6b6feb66429',1,'arm_compute::NEGatherKernel::NEGatherKernel()'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a8e6cb38116de9fd9c8e0829b313cbea5',1,'arm_compute::NEGatherKernel::NEGatherKernel(const NEGatherKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a7ababe5ef34245e3bcf2639ef47168ba',1,'arm_compute::NEGatherKernel::NEGatherKernel(NEGatherKernel &amp;&amp;)=default']]],
   ['negaussian5x5',['NEGaussian5x5',['../classarm__compute_1_1_n_e_gaussian5x5.xhtml#a0f4449cdff5c9f8dfc0ff8ad81675abe',1,'arm_compute::NEGaussian5x5']]],
   ['negaussian5x5horkernel',['NEGaussian5x5HorKernel',['../classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ac1b9627b3909b4050f88a7f87ba65953',1,'arm_compute::NEGaussian5x5HorKernel']]],
   ['negaussianpyramid',['NEGaussianPyramid',['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#adf74ce175214d5cdbc645c05fb31b21b',1,'arm_compute::NEGaussianPyramid::NEGaussianPyramid()'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a676cea2aa477b7ec444b4c884e1465aa',1,'arm_compute::NEGaussianPyramid::NEGaussianPyramid(const NEGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#abb3b0ea959aba777cefa216fb09df8f2',1,'arm_compute::NEGaussianPyramid::NEGaussianPyramid(NEGaussianPyramid &amp;&amp;)=default']]],
@@ -112,6 +121,7 @@
   ['nemagnitudephasekernel',['NEMagnitudePhaseKernel',['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a53c147feec3c6f2912779194fa2b5513',1,'arm_compute::NEMagnitudePhaseKernel::NEMagnitudePhaseKernel()'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#aebf700d44017c1ff38ad0d3741aaac56',1,'arm_compute::NEMagnitudePhaseKernel::NEMagnitudePhaseKernel(const NEMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ac0a5198310dfa51fb02e28e2594e1d53',1,'arm_compute::NEMagnitudePhaseKernel::NEMagnitudePhaseKernel(NEMagnitudePhaseKernel &amp;&amp;)=default']]],
   ['nemeanstddev',['NEMeanStdDev',['../classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2',1,'arm_compute::NEMeanStdDev']]],
   ['nemeanstddevkernel',['NEMeanStdDevKernel',['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e',1,'arm_compute::NEMeanStdDevKernel::NEMeanStdDevKernel()'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a1a1acc45068c69bc66b6d5d530d7b63f',1,'arm_compute::NEMeanStdDevKernel::NEMeanStdDevKernel(const NEMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6d25c4a312717de480c27bdf6c4937ce',1,'arm_compute::NEMeanStdDevKernel::NEMeanStdDevKernel(NEMeanStdDevKernel &amp;&amp;)=default']]],
+  ['nememsetkernel',['NEMemsetKernel',['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a510e13f4340a3b266c20334084d8acef',1,'arm_compute::NEMemsetKernel::NEMemsetKernel()'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#abb0abf7cae549eaef4a4f2e9ed1ad57a',1,'arm_compute::NEMemsetKernel::NEMemsetKernel(const NEMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a2ea3456d1f54b430de8163b78ba06a8d',1,'arm_compute::NEMemsetKernel::NEMemsetKernel(NEMemsetKernel &amp;&amp;)=default']]],
   ['neminmaxkernel',['NEMinMaxKernel',['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel()'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a6838da666c340e4d73e8779d710a2dfd',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a86b4a121baa6da0124df90f08436eb30',1,'arm_compute::NEMinMaxKernel::NEMinMaxKernel(NEMinMaxKernel &amp;&amp;)=default']]],
   ['neminmaxlayerkernel',['NEMinMaxLayerKernel',['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a7595e6658a34d7fea57ae6b7e9df9753',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel()'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a2f7050402558e9023ee536f50d725ba3',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a10235b99ce63ff0736c7d00b59123c1f',1,'arm_compute::NEMinMaxLayerKernel::NEMinMaxLayerKernel(NEMinMaxLayerKernel &amp;&amp;)=default']]],
   ['neminmaxlocation',['NEMinMaxLocation',['../classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2',1,'arm_compute::NEMinMaxLocation']]],
@@ -121,6 +131,7 @@
   ['nenormalizationlayer',['NENormalizationLayer',['../classarm__compute_1_1_n_e_normalization_layer.xhtml#ab9fb64464b613c8dfb660ce8adda169e',1,'arm_compute::NENormalizationLayer']]],
   ['nenormalizationlayerkernel',['NENormalizationLayerKernel',['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel()'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a0a9583248b18a4ac65987cd5adebc6ed',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab3498b8beb89599cee12a9e2ac083d88',1,'arm_compute::NENormalizationLayerKernel::NENormalizationLayerKernel(NENormalizationLayerKernel &amp;&amp;)=default']]],
   ['neopticalflow',['NEOpticalFlow',['../classarm__compute_1_1_n_e_optical_flow.xhtml#ab134eb1c572b0dde645c35795c486661',1,'arm_compute::NEOpticalFlow::NEOpticalFlow(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34',1,'arm_compute::NEOpticalFlow::NEOpticalFlow(const NEOpticalFlow &amp;)=delete']]],
+  ['nepadlayer',['NEPadLayer',['../classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398',1,'arm_compute::NEPadLayer']]],
   ['nepermutekernel',['NEPermuteKernel',['../classarm__compute_1_1_n_e_permute_kernel.xhtml#acba877f622a9b909a592f5a43ed26863',1,'arm_compute::NEPermuteKernel::NEPermuteKernel()'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#ac041b093bce44d5969166685832c21d7',1,'arm_compute::NEPermuteKernel::NEPermuteKernel(const NEPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a53592f2e423ddbeffcc472cf7cbfb88c',1,'arm_compute::NEPermuteKernel::NEPermuteKernel(NEPermuteKernel &amp;&amp;)=default']]],
   ['nepixelwisemultiplicationkernel',['NEPixelWiseMultiplicationKernel',['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6',1,'arm_compute::NEPixelWiseMultiplicationKernel::NEPixelWiseMultiplicationKernel()'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ac23503429643fa0415fd64b1fc17e40c',1,'arm_compute::NEPixelWiseMultiplicationKernel::NEPixelWiseMultiplicationKernel(const NEPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a032fb6504d12ca1244b2d7d82609f062',1,'arm_compute::NEPixelWiseMultiplicationKernel::NEPixelWiseMultiplicationKernel(NEPixelWiseMultiplicationKernel &amp;&amp;)=default']]],
   ['nepoolinglayer',['NEPoolingLayer',['../classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091',1,'arm_compute::NEPoolingLayer']]],
@@ -128,17 +139,21 @@
   ['nepriorboxlayerkernel',['NEPriorBoxLayerKernel',['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a624fa89170ccad67d61dc520cc2992bc',1,'arm_compute::NEPriorBoxLayerKernel::NEPriorBoxLayerKernel()'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a401f637e0355c63320ddffe30bd67a1a',1,'arm_compute::NEPriorBoxLayerKernel::NEPriorBoxLayerKernel(const NEPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a58becea6aa8b26797d861f1ca4c2cab2',1,'arm_compute::NEPriorBoxLayerKernel::NEPriorBoxLayerKernel(NEPriorBoxLayerKernel &amp;&amp;)=default']]],
   ['nequantizationlayer',['NEQuantizationLayer',['../classarm__compute_1_1_n_e_quantization_layer.xhtml#abbcc94a884fd97848c9958b238c3a3c9',1,'arm_compute::NEQuantizationLayer']]],
   ['nequantizationlayerkernel',['NEQuantizationLayerKernel',['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ad62e17aadd5912b41857bdbc15730268',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel()'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#afd7a141d3777f3622c3f9fafc0ce4d0f',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#af016debab1ceae65a136232e68c17617',1,'arm_compute::NEQuantizationLayerKernel::NEQuantizationLayerKernel(NEQuantizationLayerKernel &amp;&amp;)=default']]],
+  ['nerange',['NERange',['../classarm__compute_1_1_n_e_range.xhtml#a1676ab701fe81cd955c7430a235e6f98',1,'arm_compute::NERange']]],
+  ['nerangekernel',['NERangeKernel',['../classarm__compute_1_1_n_e_range_kernel.xhtml#a487a8c396605f8268fe39579da635416',1,'arm_compute::NERangeKernel::NERangeKernel()'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#af660b39e4c42654f02b29d271960586d',1,'arm_compute::NERangeKernel::NERangeKernel(const NERangeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#a11373aa68209de39e80ac85218675719',1,'arm_compute::NERangeKernel::NERangeKernel(NERangeKernel &amp;&amp;)=default']]],
   ['nereducemean',['NEReduceMean',['../classarm__compute_1_1_n_e_reduce_mean.xhtml#a1f208adec0739b6ce732abb5cc8e5a58',1,'arm_compute::NEReduceMean']]],
   ['nereductionoperation',['NEReductionOperation',['../classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223',1,'arm_compute::NEReductionOperation']]],
   ['nereductionoperationkernel',['NEReductionOperationKernel',['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a4e88f09df046635e88b16c8ec387a7',1,'arm_compute::NEReductionOperationKernel::NEReductionOperationKernel()'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a7bcbc502be4512dfb95500af4bd5e1',1,'arm_compute::NEReductionOperationKernel::NEReductionOperationKernel(const NEReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a46d13eb25cd34c7ebdeb7857b99911ac',1,'arm_compute::NEReductionOperationKernel::NEReductionOperationKernel(NEReductionOperationKernel &amp;&amp;)=default']]],
   ['neremapkernel',['NERemapKernel',['../classarm__compute_1_1_n_e_remap_kernel.xhtml#aca07bf938309c22c50104ed93b7d3d1e',1,'arm_compute::NERemapKernel::NERemapKernel()'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#a02121cbb8760314f74f08d6b36a2cbbc',1,'arm_compute::NERemapKernel::NERemapKernel(const NERemapKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#af892b3094dc3ab5b8eea6f0d9ab4b47d',1,'arm_compute::NERemapKernel::NERemapKernel(NERemapKernel &amp;&amp;)=default']]],
   ['nereorglayerkernel',['NEReorgLayerKernel',['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a77b0dbdf83cf802b83e46f98358c7b60',1,'arm_compute::NEReorgLayerKernel::NEReorgLayerKernel()'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aed444eb1920a454c0f12b13f164d3d41',1,'arm_compute::NEReorgLayerKernel::NEReorgLayerKernel(const NEReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#aafc1f67c7d146d6764384e5a06a49ffd',1,'arm_compute::NEReorgLayerKernel::NEReorgLayerKernel(NEReorgLayerKernel &amp;&amp;)=default']]],
+  ['nereversekernel',['NEReverseKernel',['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#aa118ee1200d7eb0525933329ddb2f01e',1,'arm_compute::NEReverseKernel::NEReverseKernel()'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a1c7cdcab15282630465527b7f0f935fe',1,'arm_compute::NEReverseKernel::NEReverseKernel(const NEReverseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#ab6e36387ad2fb4314db95c574f7ce598',1,'arm_compute::NEReverseKernel::NEReverseKernel(NEReverseKernel &amp;&amp;)=default']]],
   ['nernnlayer',['NERNNLayer',['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a22580824d9d7f1d67c3db8ac601113b3',1,'arm_compute::NERNNLayer::NERNNLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ab6231543c4071f67f7acd1b868017185',1,'arm_compute::NERNNLayer::NERNNLayer(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ad71b9e0c36eb029efea21034a525797d',1,'arm_compute::NERNNLayer::NERNNLayer(NERNNLayer &amp;&amp;)=default']]],
   ['neroipoolinglayer',['NEROIPoolingLayer',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b',1,'arm_compute::NEROIPoolingLayer']]],
   ['neroipoolinglayerkernel',['NEROIPoolingLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a6c1533ba7e860b0bf061dd02f552f427',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel()'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#af874f9c0aae8f8ba2bceb87abfb5e6ce',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ad4e23818db2a0d7323fe8a7947744148',1,'arm_compute::NEROIPoolingLayerKernel::NEROIPoolingLayerKernel(NEROIPoolingLayerKernel &amp;&amp;)=default']]],
   ['nescale',['NEScale',['../classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657',1,'arm_compute::NEScale']]],
   ['nescalekernel',['NEScaleKernel',['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a025ceb246f7b80a3cb765d33d6a5cfe4',1,'arm_compute::NEScaleKernel::NEScaleKernel()'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#afaad06478be3721ab81bb31303e3036d',1,'arm_compute::NEScaleKernel::NEScaleKernel(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a',1,'arm_compute::NEScaleKernel::NEScaleKernel(NEScaleKernel &amp;&amp;)=default']]],
   ['nescharr3x3kernel',['NEScharr3x3Kernel',['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309',1,'arm_compute::NEScharr3x3Kernel::NEScharr3x3Kernel()'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa92e67ceef8ce3ddbee234f9f3a28220',1,'arm_compute::NEScharr3x3Kernel::NEScharr3x3Kernel(const NEScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aafe178454cd5eadaf3e80e39e46b3b45',1,'arm_compute::NEScharr3x3Kernel::NEScharr3x3Kernel(NEScharr3x3Kernel &amp;&amp;)=default']]],
+  ['neselectkernel',['NESelectKernel',['../classarm__compute_1_1_n_e_select_kernel.xhtml#a97b2954539ea17a9b037562fc0033352',1,'arm_compute::NESelectKernel::NESelectKernel()'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a28e79640a392e4574acaca0481d4a45f',1,'arm_compute::NESelectKernel::NESelectKernel(const NESelectKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a256e504154f112b56aad2edc13cbce5a',1,'arm_compute::NESelectKernel::NESelectKernel(NESelectKernel &amp;&amp;)=default']]],
   ['neseparableconvolutionhorkernel',['NESeparableConvolutionHorKernel',['../classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51',1,'arm_compute::NESeparableConvolutionHorKernel']]],
   ['neseparableconvolutionvertkernel',['NESeparableConvolutionVertKernel',['../classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd',1,'arm_compute::NESeparableConvolutionVertKernel']]],
   ['nesimpleassemblyfunction',['NESimpleAssemblyFunction',['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml#afb07b1dea50f174ccf0d67a2eb8416a2',1,'arm_compute::NESimpleAssemblyFunction']]],
@@ -149,12 +164,18 @@
   ['nesobel7x7',['NESobel7x7',['../classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99',1,'arm_compute::NESobel7x7']]],
   ['nesobel7x7horkernel',['NESobel7x7HorKernel',['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a1a423c939d91b1097fcd48ead9b5f143',1,'arm_compute::NESobel7x7HorKernel::NESobel7x7HorKernel()'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ac9d0ac2c616250612ac3835839480cc3',1,'arm_compute::NESobel7x7HorKernel::NESobel7x7HorKernel(const NESobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ad408b442a132acdbcf1e6c28100d2c2e',1,'arm_compute::NESobel7x7HorKernel::NESobel7x7HorKernel(NESobel7x7HorKernel &amp;&amp;)=default']]],
   ['nesobel7x7vertkernel',['NESobel7x7VertKernel',['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a685552a5f91d30d8f5b4ce2003771d18',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel()'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a667242192107c5f9fb8368eaccca2103',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ac554b9298d627c5cc4468cf77d8d568d',1,'arm_compute::NESobel7x7VertKernel::NESobel7x7VertKernel(NESobel7x7VertKernel &amp;&amp;)=default']]],
-  ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3',1,'arm_compute::NESoftmaxLayer']]],
+  ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a09c32ef2afaa6952b300d15b48acb03a',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(const NESoftmaxLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a40b63cceb93aff0543cbd44b452d08e2',1,'arm_compute::NESoftmaxLayer::NESoftmaxLayer(NESoftmaxLayer &amp;&amp;)=default']]],
+  ['nesplit',['NESplit',['../classarm__compute_1_1_n_e_split.xhtml#ad89d8795f247b61e5aeba5f12ae1fd15',1,'arm_compute::NESplit']]],
+  ['nestacklayer',['NEStackLayer',['../classarm__compute_1_1_n_e_stack_layer.xhtml#a8ca90468cf9e830f73ba50ed7bbb9d53',1,'arm_compute::NEStackLayer']]],
+  ['nestacklayerkernel',['NEStackLayerKernel',['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a1b3396255401298dd2a89721a0ea07ad',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel()'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a61e7e4d2e16442301bd4c3ed327ef67a',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel(const NEStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#aea1faaeb5ab2a24b3ff9d339682db06c',1,'arm_compute::NEStackLayerKernel::NEStackLayerKernel(NEStackLayerKernel &amp;&amp;)=default']]],
+  ['nestridedslicekernel',['NEStridedSliceKernel',['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#aa09cd2186f25d44f98564afbcdef8be6',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel()'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a11dfc78ade713bbd49a799605736425a',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel(const NEStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a9299a63e228836ebfbb387a28a813dd4',1,'arm_compute::NEStridedSliceKernel::NEStridedSliceKernel(NEStridedSliceKernel &amp;&amp;)=default']]],
   ['nesubtensorhandle',['NESubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a6595e78bf2c01da58c8f3ea4eb90456d',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(ITensorHandle *parent_handle, const TensorShape &amp;shape, const Coordinates &amp;coords, bool extend_parent=false)'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a2f55bff8083e46405832ce52c9a92a91',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#aba3a7c20ba3c19a5f3db801dd49b0c2c',1,'arm_compute::graph::backends::NESubTensorHandle::NESubTensorHandle(const NESubTensorHandle &amp;)=delete']]],
   ['netablelookupkernel',['NETableLookupKernel',['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aee2586f6c778ffab9ee3adbc2a6790a1',1,'arm_compute::NETableLookupKernel::NETableLookupKernel()'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a74990bcb63bbbc6042000a9fb7207507',1,'arm_compute::NETableLookupKernel::NETableLookupKernel(const NETableLookupKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#afb1345d81a7ee915ca9b2b4c1e84bb0b',1,'arm_compute::NETableLookupKernel::NETableLookupKernel(NETableLookupKernel &amp;&amp;)=default']]],
   ['netensorhandle',['NETensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a63371c7bf5bea4ba7c5822bd5067124d',1,'arm_compute::graph::backends::NETensorHandle::NETensorHandle(const ITensorInfo &amp;info)'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#a7589aedeac35ee91015d3dd625a9abcd',1,'arm_compute::graph::backends::NETensorHandle::NETensorHandle(NETensorHandle &amp;&amp;)=default']]],
   ['nethresholdkernel',['NEThresholdKernel',['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45',1,'arm_compute::NEThresholdKernel::NEThresholdKernel()'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#aa225b6f88add359d864507bdc2053ac0',1,'arm_compute::NEThresholdKernel::NEThresholdKernel(const NEThresholdKernel &amp;)=delete']]],
+  ['netilekernel',['NETileKernel',['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a8e999067ec3b8a7f2bbf7f4b88a4fe43',1,'arm_compute::NETileKernel::NETileKernel()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a158e0205c27d5d36f5353f7ade72040d',1,'arm_compute::NETileKernel::NETileKernel(const NETileKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a32733ae7a20e85a071a80feee1964952',1,'arm_compute::NETileKernel::NETileKernel(NETileKernel &amp;&amp;)=default']]],
   ['netransposekernel',['NETransposeKernel',['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a3a5122ad042e8f04a6cd96980bce3d49',1,'arm_compute::NETransposeKernel::NETransposeKernel()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe',1,'arm_compute::NETransposeKernel::NETransposeKernel(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#ae24f3159088ed25c27231fe58e43c424',1,'arm_compute::NETransposeKernel::NETransposeKernel(NETransposeKernel &amp;&amp;)=default']]],
+  ['neunstack',['NEUnstack',['../classarm__compute_1_1_n_e_unstack.xhtml#a9fe1c034f87de9f4f8f123df10aa624b',1,'arm_compute::NEUnstack']]],
   ['neupsamplelayer',['NEUpsampleLayer',['../classarm__compute_1_1_n_e_upsample_layer.xhtml#a0e6dc893a9d100e940ef58f6df26c31a',1,'arm_compute::NEUpsampleLayer']]],
   ['neupsamplelayerkernel',['NEUpsampleLayerKernel',['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a9f5431235d9fecd59a74cec4f370fef1',1,'arm_compute::NEUpsampleLayerKernel::NEUpsampleLayerKernel()'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a87f2137855e502092ba24bc0505ae5db',1,'arm_compute::NEUpsampleLayerKernel::NEUpsampleLayerKernel(const NEUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#a26b1f06d595afa9c4bef0980327305f8',1,'arm_compute::NEUpsampleLayerKernel::NEUpsampleLayerKernel(NEUpsampleLayerKernel &amp;&amp;)=default']]],
   ['neweightsreshapekernel',['NEWeightsReshapeKernel',['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a8d75ad369631c25f8faac802096d04d3',1,'arm_compute::NEWeightsReshapeKernel::NEWeightsReshapeKernel()'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603',1,'arm_compute::NEWeightsReshapeKernel::NEWeightsReshapeKernel(const NEWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a81a65e6e29f1484740df2b1e60e82a6d',1,'arm_compute::NEWeightsReshapeKernel::NEWeightsReshapeKernel(NEWeightsReshapeKernel &amp;&amp;)=default']]],
@@ -167,6 +188,7 @@
   ['neyololayerkernel',['NEYOLOLayerKernel',['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ac70fffb735b977abbd5cbc73b7b57bec',1,'arm_compute::NEYOLOLayerKernel::NEYOLOLayerKernel()'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#acd649bd63405fe6c83f5b2b491cfd177',1,'arm_compute::NEYOLOLayerKernel::NEYOLOLayerKernel(const NEYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ad256323e144f8ca87d59877b58a8aa6b',1,'arm_compute::NEYOLOLayerKernel::NEYOLOLayerKernel(NEYOLOLayerKernel &amp;&amp;)=default']]],
   ['nms',['nms',['../classarm__compute_1_1_box_n_m_s_limit_info.xhtml#a90dc98d4ae6b7ab06d5e089378817672',1,'arm_compute::BoxNMSLimitInfo']]],
   ['nms_5fthres',['nms_thres',['../classarm__compute_1_1_generate_proposals_info.xhtml#aff8f31ab7ca98957eb196d34a3da3d68',1,'arm_compute::GenerateProposalsInfo']]],
+  ['nms_5fthreshold',['nms_threshold',['../classarm__compute_1_1_detection_output_layer_info.xhtml#af14fc4cf24dfb69a0f225a582ef01d54',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['node',['node',['../classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a',1,'arm_compute::graph::Graph::node(NodeID id) const'],['../classarm__compute_1_1graph_1_1_graph.xhtml#af03a199882fdad91c9d20fc3e6ee2a57',1,'arm_compute::graph::Graph::node(NodeID id)']]],
   ['nodes',['nodes',['../classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3',1,'arm_compute::graph::Graph::nodes(NodeType type)'],['../classarm__compute_1_1graph_1_1_graph.xhtml#a6d22ee22d20bf807639eee8a611229af',1,'arm_compute::graph::Graph::nodes()'],['../classarm__compute_1_1graph_1_1_graph.xhtml#ade14fa2a9cfc10e208ef2ebfeb0f8ba1',1,'arm_compute::graph::Graph::nodes() const']]],
   ['non_5flinear_5ffilter',['non_linear_filter',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af00274a4d66faf0892f122870f1d9fd9',1,'arm_compute::test::validation::reference::non_linear_filter(const SimpleTensor&lt; T &gt; &amp;src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a29d57ba8afd317719a954d18599956cd',1,'arm_compute::test::validation::reference::non_linear_filter(const SimpleTensor&lt; uint8_t &gt; &amp;src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value)']]],
@@ -176,12 +198,11 @@
   ['non_5flinear_5ffilter_5fcross5x5',['non_linear_filter_cross5x5',['../non__linear__filter5x5_8cl.xhtml#a55bfb651c4824675a4c1ae1d27cd6d52',1,'non_linear_filter5x5.cl']]],
   ['non_5flinear_5ffilter_5fdisk3x3',['non_linear_filter_disk3x3',['../non__linear__filter3x3_8cl.xhtml#a37f5aa2a4245f4b6b925640f73a77fdb',1,'non_linear_filter3x3.cl']]],
   ['non_5flinear_5ffilter_5fdisk5x5',['non_linear_filter_disk5x5',['../non__linear__filter5x5_8cl.xhtml#a51c3020615fa62c7524d316ba1019a58',1,'non_linear_filter5x5.cl']]],
-  ['non_5fmax_5fsuppression',['non_max_suppression',['../nonmax_8cl.xhtml#a07874f4cb83d115b3c588835d17a8f93',1,'nonmax.cl']]],
+  ['non_5fmax_5fsuppression',['non_max_suppression',['../nonmax_8cl.xhtml#a07874f4cb83d115b3c588835d17a8f93',1,'non_max_suppression():&#160;nonmax.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a76dd3fc8793c1e670a54fad76c147781',1,'arm_compute::test::validation::reference::non_max_suppression()']]],
   ['non_5fmaxima_5fsuppression',['non_maxima_suppression',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60e89e48713565425943913adec65294',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4f89718e67b6cc5ce13ce5ea3a789a88',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; float &gt; &amp;src, BorderMode border_mode, float constant_border_value)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a354498d36b78c3c042d34e44d95b0287',1,'arm_compute::test::validation::reference::non_maxima_suppression(const SimpleTensor&lt; uint8_t &gt; &amp;src, BorderMode border_mode, uint8_t constant_border_value)']]],
   ['norm_5fsize',['norm_size',['../classarm__compute_1_1_normalization_layer_info.xhtml#a7c3edc4b354dda6c7285541f4f0e5c43',1,'arm_compute::NormalizationLayerInfo']]],
   ['normalization_5finfo',['normalization_info',['../classarm__compute_1_1graph_1_1_normalization_layer_node.xhtml#a3bfea94983e45ff8d1a3061206593349',1,'arm_compute::graph::NormalizationLayerNode']]],
   ['normalization_5flayer',['normalization_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a12f5205aa3c3e8056da83444c0a18c29',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; T &gt; &amp;src, NormalizationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a451c44627ad6c06f72667812f2a9782d',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; float &gt; &amp;src, NormalizationLayerInfo info)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a677c65b33a30875799e387168f59758e',1,'arm_compute::test::validation::reference::normalization_layer(const SimpleTensor&lt; half &gt; &amp;src, NormalizationLayerInfo info)']]],
-  ['normalization_5flayer_5fcross_5fmap',['normalization_layer_cross_map',['../normalization__layer_8cl.xhtml#a7db22b7ddf8f433e02ede3bd9c56d9d9',1,'normalization_layer.cl']]],
   ['normalization_5ftype',['normalization_type',['../classarm__compute_1_1_h_o_g_info.xhtml#a5a4a2ab2f4396cc64b4a5676a90d7f07',1,'arm_compute::HOGInfo']]],
   ['normalizationlayer',['NormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_normalization_layer.xhtml#ada275ffd82f624b62bdbc2f01349fe33',1,'arm_compute::graph::frontend::NormalizationLayer']]],
   ['normalizationlayerinfo',['NormalizationLayerInfo',['../classarm__compute_1_1_normalization_layer_info.xhtml#a305c2145d26b998641402a9fec76f0bb',1,'arm_compute::NormalizationLayerInfo']]],
@@ -198,11 +219,12 @@
   ['num_5farguments_5fper_5f4d_5ftensor',['num_arguments_per_4D_tensor',['../classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73',1,'arm_compute::ICLKernel']]],
   ['num_5fbins',['num_bins',['../classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346',1,'arm_compute::HOGInfo::num_bins()'],['../classarm__compute_1_1_i_distribution1_d.xhtml#ad96530ddba514601d376f991b568b346',1,'arm_compute::IDistribution1D::num_bins()']]],
   ['num_5fblock_5fpositions_5fper_5fimage',['num_block_positions_per_image',['../classarm__compute_1_1_h_o_g_info.xhtml#a576ef6e002aae702e9c619a1afd31ddb',1,'arm_compute::HOGInfo']]],
+  ['num_5fbuffers',['num_buffers',['../classarm__compute_1_1_i_buffer_manager.xhtml#ad4bcb73f9fec73d00bccf07845c5a16f',1,'arm_compute::IBufferManager']]],
   ['num_5fcells_5fper_5fblock',['num_cells_per_block',['../classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f',1,'arm_compute::HOGInfo']]],
   ['num_5fcells_5fper_5fblock_5fstride',['num_cells_per_block_stride',['../classarm__compute_1_1_h_o_g_info.xhtml#a3d18e8be8055827aa09839f6972ff271',1,'arm_compute::HOGInfo']]],
   ['num_5fchannels',['num_channels',['../classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba',1,'arm_compute::ITensorInfo::num_channels()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c',1,'arm_compute::SubTensorInfo::num_channels()'],['../classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c',1,'arm_compute::TensorInfo::num_channels()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::CLAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::GCAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459',1,'arm_compute::test::IAccessor::num_channels()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::Accessor::num_channels()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb',1,'arm_compute::test::SimpleTensor::num_channels()']]],
   ['num_5fchannels_5ffrom_5fformat',['num_channels_from_format',['../namespacearm__compute.xhtml#ab14153fb809c18823af3c9c8bc4286cb',1,'arm_compute']]],
-  ['num_5fclasses',['num_classes',['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a',1,'arm_compute::graph::YOLOLayerNode']]],
+  ['num_5fclasses',['num_classes',['../classarm__compute_1_1_detection_output_layer_info.xhtml#a2411dd5edb9ccb581d303f3396e9c14c',1,'arm_compute::DetectionOutputLayerInfo::num_classes()'],['../classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a',1,'arm_compute::graph::YOLOLayerNode::num_classes()']]],
   ['num_5fdimensions',['num_dimensions',['../classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615',1,'arm_compute::Dimensions::num_dimensions()'],['../classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d',1,'arm_compute::ITensorInfo::num_dimensions()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b',1,'arm_compute::SubTensorInfo::num_dimensions()'],['../classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b',1,'arm_compute::TensorInfo::num_dimensions()']]],
   ['num_5felements',['num_elements',['../classarm__compute_1_1_i_lut.xhtml#a7a826fbb4f639c556352d1ede69187d7',1,'arm_compute::ILut::num_elements()'],['../classarm__compute_1_1_c_l_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958',1,'arm_compute::CLLut::num_elements()'],['../classarm__compute_1_1_i_lut_allocator.xhtml#ab13544f21571d4f4dd804cb4b96e2987',1,'arm_compute::ILutAllocator::num_elements()'],['../classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958',1,'arm_compute::Lut::num_elements()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::CLAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::CLLutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::GCAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e',1,'arm_compute::test::IAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e',1,'arm_compute::test::ILutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::Accessor::num_elements()'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::LutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::RawLutAccessor::num_elements()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e',1,'arm_compute::test::SimpleTensor::num_elements()']]],
   ['num_5fgroups',['num_groups',['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80',1,'arm_compute::graph::ChannelShuffleLayerNode::num_groups()'],['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80',1,'arm_compute::graph::ConvolutionLayerNode::num_groups()']]],
@@ -211,7 +233,9 @@
   ['num_5fiterations_5ftotal',['num_iterations_total',['../classarm__compute_1_1_window.xhtml#a0654fca130488c15b4b66a9b7131c142',1,'arm_compute::Window']]],
   ['num_5fkernels',['num_kernels',['../classarm__compute_1_1_weights_info.xhtml#ab039f58ba3db07baaba2cbdc65608dbb',1,'arm_compute::WeightsInfo']]],
   ['num_5flevels',['num_levels',['../classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6',1,'arm_compute::PyramidInfo']]],
+  ['num_5floc_5fclasses',['num_loc_classes',['../classarm__compute_1_1_detection_output_layer_info.xhtml#ae82a2ccc5739cb255a9a7679d6161399',1,'arm_compute::DetectionOutputLayerInfo']]],
   ['num_5fmodels',['num_models',['../classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02',1,'arm_compute::IMultiHOG::num_models()'],['../classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329',1,'arm_compute::CLMultiHOG::num_models()'],['../classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329',1,'arm_compute::MultiHOG::num_models()']]],
+  ['num_5fof_5felements_5fin_5frange',['num_of_elements_in_range',['../namespacearm__compute.xhtml#a22ef3e50f7dbf08c974a120588e1ad90',1,'arm_compute']]],
   ['num_5foutputs',['num_outputs',['../classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc',1,'arm_compute::graph::INode']]],
   ['num_5fplanes_5ffrom_5fformat',['num_planes_from_format',['../namespacearm__compute.xhtml#a2a71659def659c8b1c164023a99a25a9',1,'arm_compute']]],
   ['num_5fpools',['num_pools',['../classarm__compute_1_1_i_pool_manager.xhtml#a57e6036b79c8583ca2f23771e4b7052a',1,'arm_compute::IPoolManager::num_pools()'],['../classarm__compute_1_1_pool_manager.xhtml#ae6779aff1846cda85a356089ee5e45f6',1,'arm_compute::PoolManager::num_pools()']]],
diff --git a/documentation/search/functions_e.html b/documentation/search/functions_e.html
index e256cb6..c1bd870 100644
--- a/documentation/search/functions_e.html
+++ b/documentation/search/functions_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_e.js b/documentation/search/functions_e.js
index 1e1dce6..a9bb21c 100644
--- a/documentation/search/functions_e.js
+++ b/documentation/search/functions_e.js
@@ -5,30 +5,30 @@
   ['offset_5felement_5fin_5fbytes',['offset_element_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3',1,'arm_compute::ITensorInfo::offset_element_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688',1,'arm_compute::SubTensorInfo::offset_element_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688',1,'arm_compute::TensorInfo::offset_element_in_bytes()']]],
   ['offset_5ffirst_5felement_5fin_5fbytes',['offset_first_element_in_bytes',['../classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397',1,'arm_compute::ITensorInfo::offset_first_element_in_bytes()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904',1,'arm_compute::SubTensorInfo::offset_first_element_in_bytes()'],['../classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904',1,'arm_compute::TensorInfo::offset_first_element_in_bytes()']]],
   ['offsetlifetimemanager',['OffsetLifetimeManager',['../classarm__compute_1_1_offset_lifetime_manager.xhtml#aff80e0c86b017e804903b706421a64b6',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#affbba9a83448152a6a66eafd73ccae69',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ae3244e49b12c4a4bd8c8d1589a51e3fc',1,'arm_compute::OffsetLifetimeManager::OffsetLifetimeManager(OffsetLifetimeManager &amp;&amp;)=default']]],
-  ['offsetmemorypool',['OffsetMemoryPool',['../classarm__compute_1_1_offset_memory_pool.xhtml#a28b9a2a2781845f566426beafe70fc7d',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(IAllocator *allocator, size_t blob_size)'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a408d348b2cb16b141aba3b0885d55971',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a6c422a628c74eeaad5699e0070a5e7f9',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(OffsetMemoryPool &amp;&amp;)=default']]],
+  ['offsetmemorypool',['OffsetMemoryPool',['../classarm__compute_1_1_offset_memory_pool.xhtml#aca980e051e99dd4df8c818e69d3e0dcd',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(IAllocator *allocator, BlobInfo blob_info)'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a408d348b2cb16b141aba3b0885d55971',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a6c422a628c74eeaad5699e0070a5e7f9',1,'arm_compute::OffsetMemoryPool::OffsetMemoryPool(OffsetMemoryPool &amp;&amp;)=default']]],
   ['open',['open',['../classarm__compute_1_1io_1_1_file_handler.xhtml#aa6d6ff37ab6cae622a54e37c16dd53b2',1,'arm_compute::io::FileHandler::open()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a9f1c02afefdd48c31913e6c358422727',1,'arm_compute::test::framework::PMU::open(uint64_t config)'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a576b1f78c5f05e1d9dd1ec8311f7607d',1,'arm_compute::test::framework::PMU::open(const perf_event_attr &amp;perf_config)'],['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml#ab646a9b1297198d7c9e2e809c29b7391',1,'arm_compute::utils::IImageLoader::open()'],['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#ab23b23a466d459ecbad7d046bb085324',1,'arm_compute::utils::PPMLoader::open()'],['../classarm__compute_1_1utils_1_1_j_p_e_g_loader.xhtml#ab23b23a466d459ecbad7d046bb085324',1,'arm_compute::utils::JPEGLoader::open()'],['../classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a739fd000f9e30bbc875cb48a9c6edab1',1,'arm_compute::utils::NPYLoader::open()']]],
   ['opencl_5fis_5favailable',['opencl_is_available',['../namespacearm__compute.xhtml#a5f49decb4b0a74d5361686ab45db8961',1,'arm_compute']]],
   ['openclclock',['OpenCLClock',['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_clock.xhtml#ab8b13fb740f8ad1344efb2dbd937791b',1,'arm_compute::test::framework::OpenCLClock']]],
   ['openclmemoryusage',['OpenCLMemoryUsage',['../classarm__compute_1_1test_1_1framework_1_1_open_c_l_memory_usage.xhtml#a2645ccd83bc30f0c6cc7aedd2fa51806',1,'arm_compute::test::framework::OpenCLMemoryUsage']]],
   ['opengles31_5fis_5favailable',['opengles31_is_available',['../namespacearm__compute.xhtml#ad8ec10f67d9849be264c23c5329d9324',1,'arm_compute']]],
-  ['operator_20_26',['operator &amp;',['../namespacearm__compute_1_1test_1_1framework.xhtml#a54873f7d8b0103a09a589b01e8cdd31f',1,'arm_compute::test::framework']]],
+  ['operator_20_26',['operator &amp;',['../namespacearm__compute_1_1test_1_1framework.xhtml#afe6212a8969f1c67ad9dc905e0259211',1,'arm_compute::test::framework']]],
+  ['operator_20_2a',['operator *',['../structarm__compute_1_1_border_size.xhtml#a6dc50f6ebe78ad72d8420dc6936ac0aa',1,'arm_compute::BorderSize::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a43ed4193c5a3f77694103c5ea4ff7002',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#aaa7df8101585d2ab245ed9420a94604e',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#a9f54cf9d4b83fd6db01402c4c6b7e4bc',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#a35793b9a0d8f7463a92c27eb1561891a',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#abf0152608c019277104d3e57ae19e72b',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a038b867f89d963c46e2cd778922b7ab4',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#aba8186c4b78cf68c787c561c8a0f6e7a',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator *()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a82dc1e06c88a4412fd40f1750487c2ae',1,'arm_compute::test::framework::Measurement::Value::operator *()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#aeb07c1f65305ff5f7e7a9dce6d6c9148',1,'arm_compute::test::framework::dataset::operator *()']]],
+  ['operator_20_2a_3d',['operator *=',['../structarm__compute_1_1_border_size.xhtml#afe1659a812ae283eba279b2cead90c72',1,'arm_compute::BorderSize']]],
   ['operator_20bool',['operator bool',['../classarm__compute_1_1_status.xhtml#a420e60e9788bfa3b52aa3aab72ea3a5e',1,'arm_compute::Status::operator bool()'],['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_absolute_tolerance_3_01_u_01_4_01_4.xhtml#a67b76affb3b5d35fa419ac234144038b',1,'arm_compute::test::validation::compare&lt; AbsoluteTolerance&lt; U &gt; &gt;::operator bool()'],['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_relative_tolerance_3_01_u_01_4_01_4.xhtml#a67b76affb3b5d35fa419ac234144038b',1,'arm_compute::test::validation::compare&lt; RelativeTolerance&lt; U &gt; &gt;::operator bool()']]],
   ['operator_20const_20size_5ft_20_2a',['operator const size_t *',['../classarm__compute_1_1gles_1_1_n_d_range.xhtml#a336bc11e29911c6581b41599b03a13c7',1,'arm_compute::gles::NDRange']]],
   ['operator_20simpletensor_3c_20t_20_3e',['operator SimpleTensor&lt; T &gt;',['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a29752327fa8a586a73ef96f04d41cf38',1,'arm_compute::test::RawTensor']]],
   ['operator_20t',['operator T',['../classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#af0c9beda8887a48bb967dd5e2f44d5f5',1,'arm_compute::test::validation::AbsoluteTolerance']]],
   ['operator_20value_5ftype',['operator value_type',['../classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#ad3292759910d27b3e4cf00fda9c4efc0',1,'arm_compute::test::validation::RelativeTolerance']]],
   ['operator_21_3d',['operator!=',['../classarm__compute_1_1_size2_d.xhtml#aaa3f764bed47168cf134ee9a650fd3f5',1,'arm_compute::Size2D::operator!=()'],['../structarm__compute_1_1_quantization_info.xhtml#a8cb2b274e5afb37d2377bde817b06907',1,'arm_compute::QuantizationInfo::operator!=()'],['../namespacearm__compute.xhtml#a4e3ff85e1f6c648dfbe264f54c147451',1,'arm_compute::operator!=()']]],
-  ['operator_28_29',['operator()',['../structarm__compute_1_1detail_1_1dummy.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::dummy::operator()()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::linear::operator()()'],['../structarm__compute_1_1detail_1_1square.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::square::operator()()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::logistic::operator()()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::relu::operator()()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::brelu::operator()()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::lubrelu::operator()()'],['../classarm__compute_1_1detail_1_1compare__dimension.xhtml#a90462712db283368a62956b9b38aa6a5',1,'arm_compute::detail::compare_dimension::operator()()'],['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#a31da9070971bbf34ad5d84094b48c04f',1,'arm_compute::detail::get_tensor_info_t&lt; ITensorInfo * &gt;::operator()()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a3d97f1a607e521858d47bd5dbe731196',1,'arm_compute::TensorAccessor::operator()(unsigned int x, unsigned int y=0, unsigned int z=0, unsigned int w=0)'],['../classarm__compute_1_1_tensor_accessor.xhtml#ac4c103a9f265d857885bd10182894b8a',1,'arm_compute::TensorAccessor::operator()()'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a5ccbdeb5350ba8528eab7e4cc49fc68b',1,'arm_compute::graph::ExecutionTask::operator()()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a583a35e4fd72f072a6b76ce58c2e3998',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord) const =0'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a9fd1359f2b5ea45a31bd79b381281eb4',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord)=0'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c',1,'arm_compute::utils::uniform_real_distribution_fp16::operator()()']]],
-  ['operator_2a',['operator*',['../structarm__compute_1_1_border_size.xhtml#a19da960d23eca69f8e65d52c741147e2',1,'arm_compute::BorderSize::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#a07af4e34c0a439fc7cf3e778933ad7f3',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#a22934ef8b233918ea8371bed7696ad21',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#adef7d064407a702e9c3434eb6bf50224',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#adca8c965a8f8afc239c40f45cab053a7',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#a6a25f276ec55475ffb96b168da11e97a',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#a050d73409add31e0c528fc68f05a7b67',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#af30d80e12a13e32b289aac3a2aaaec81',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator*()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ae9a75e9f2233655aa30f2199ed33bddd',1,'arm_compute::test::framework::Measurement::Value::operator*()'],['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ac0d0ba443ee1c293361eea3c06c98847',1,'arm_compute::test::framework::dataset::operator*()']]],
-  ['operator_2a_3d',['operator*=',['../structarm__compute_1_1_border_size.xhtml#ac2ed52112076ed0fd2aab3fbfb758837',1,'arm_compute::BorderSize']]],
+  ['operator_28_29',['operator()',['../structarm__compute_1_1detail_1_1dummy.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::dummy::operator()()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::linear::operator()()'],['../structarm__compute_1_1detail_1_1square.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::square::operator()()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::logistic::operator()()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::relu::operator()()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::brelu::operator()()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a866d1f31a29495f573ed758878f9028a',1,'arm_compute::detail::lubrelu::operator()()'],['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#a50f59630d99c12348ad67924da225bb6',1,'arm_compute::utils::random::RangedUniformDistribution::operator()()'],['../classarm__compute_1_1detail_1_1compare__dimension.xhtml#a90462712db283368a62956b9b38aa6a5',1,'arm_compute::detail::compare_dimension::operator()()'],['../structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#a31da9070971bbf34ad5d84094b48c04f',1,'arm_compute::detail::get_tensor_info_t&lt; ITensorInfo * &gt;::operator()()'],['../classarm__compute_1_1_tensor_accessor.xhtml#a3d97f1a607e521858d47bd5dbe731196',1,'arm_compute::TensorAccessor::operator()(unsigned int x, unsigned int y=0, unsigned int z=0, unsigned int w=0)'],['../classarm__compute_1_1_tensor_accessor.xhtml#ac4c103a9f265d857885bd10182894b8a',1,'arm_compute::TensorAccessor::operator()()'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a5ccbdeb5350ba8528eab7e4cc49fc68b',1,'arm_compute::graph::ExecutionTask::operator()()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::CLAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::GCAccessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a583a35e4fd72f072a6b76ce58c2e3998',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord) const =0'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a9fd1359f2b5ea45a31bd79b381281eb4',1,'arm_compute::test::IAccessor::operator()(const Coordinates &amp;coord)=0'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::Accessor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::RawTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) const override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068',1,'arm_compute::test::SimpleTensor::operator()(const Coordinates &amp;coord) override'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c',1,'arm_compute::utils::uniform_real_distribution_fp16::operator()()']]],
   ['operator_2b',['operator+',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a722639a64527d7e2fd655372694166ce',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2b_2b',['operator++',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::ContainerDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::InitializerListDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::JoinDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::RangeDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator++()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00',1,'arm_compute::test::framework::dataset::ZipDataset::iterator::operator++()']]],
   ['operator_2d',['operator-',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6fb5fa1257ad2837d4b83dded72e2fe8',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2d_3d',['operator-=',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6cb5526035904ad08a9d5ba9fff9a942',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_2f',['operator/',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a5c0592147dad9d6f5185a4f83d1084a5',1,'arm_compute::test::framework::Measurement::Value']]],
   ['operator_3c',['operator&lt;',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a6a5c240d4c678a714ffb0217c6a8d6eb',1,'arm_compute::test::framework::Measurement::Value::operator&lt;()'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a1b6f30e703e3ce3e579d30351171bd9d',1,'arm_compute::test::framework::Measurement::operator&lt;()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9ec753fd569ec1bf169e26013898eb4a',1,'arm_compute::test::framework::operator&lt;()']]],
-  ['operator_3c_3c',['operator&lt;&lt;',['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a1fe3d49c1ffc3cfad62cf8672baf3818',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;&amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#aeaef465212cf21c32e47738f405d3b35',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a8aa83abfaa698052fbf74953829a607e',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, Target target_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a2066bf666e2a4f10fd6f0176bc04104d',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ConvolutionMethod convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a9ef12c4a1a97abee8bcf61ac50bafb99',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, DepthwiseConvolutionMethod depthwise_convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a5424088ffc327a30d0d2e6b7e5d67930',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, FastMathHint fast_math_hint)'],['../namespacearm__compute_1_1graph.xhtml#a7e067080ce8169b2f8be64c190edab9e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const Target &amp;target)'],['../namespacearm__compute_1_1graph.xhtml#a108f26d15227710831dbdb30e40e608e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const NodeType &amp;node_type)'],['../namespacearm__compute_1_1graph.xhtml#abcd88ed51472e534decef274fb32bcaa',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const EltwiseOperation &amp;eltwise_op)'],['../namespacearm__compute_1_1graph.xhtml#ab90b7a7fcc12792b0b6cb6486bb383dd',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1graph.xhtml#a6c721497fdfc121b38630f89b625ac39',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const FastMathHint &amp;hint)'],['../namespacearm__compute_1_1graph.xhtml#a36f71403d9328a10245a6d9d62518527',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const DepthwiseConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9a57b6c1d3a82001ad4f83676fbb9302',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a380fb68611f394f4f7525c463a3588dc',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, LogLevel level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab74cc570397d9855e79eb6cade93b3e6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, InstrumentsDescription instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ac9ba7d0cf26575884c0c2cfe5fb529b6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, LogFormat format)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a5d331575f41ec3bf8e31afce9a89cd2a',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, TestCaseFactory::Status status)'],['../namespacearm__compute.xhtml#af3985189d478b45014e7dead9d002e2a',1,'arm_compute::operator&lt;&lt;()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6d7586446a24baaa269c5f9a65ecd7f',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const AbsoluteTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e05c35e20ad8ca67a4fbdd57e33ac8c',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const RelativeTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1utils.xhtml#a24e5f40fb2db725a749dd5103ced9760',1,'arm_compute::utils::operator&lt;&lt;()'],['../namespacearm__compute.xhtml#a18d43401e8f84ed020429b41ec4e99f5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#ae8c2a3451bcf739a75aa7438e7a78d45',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#acec416ec5af175a7aad47a518fefb770',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#a295edc9f8caf95838db2c5e251153514',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#a5972c7131d378f567af9c2961f088a0b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WeightsInfo &amp;weights_info)'],['../namespacearm__compute.xhtml#a352b805b77fde4f32f44af271580677b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#af81bb4f87d418311c7ca43a28c74bf03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a59ea8b6694897a281eb3105f5c99f28f',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#a1a54a883f8acc0664accdae9bed93494',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#a32a5556a927543fe57c0d7b82c20e9b4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a9d79efe2673aeb3f9a9160b6a78de50c',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ActivationLayerInfo::ActivationFunction &amp;act_function)'],['../namespacearm__compute.xhtml#a2ab7370aab6e5698990c50c8871fa6fb',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormType &amp;norm_type)'],['../namespacearm__compute.xhtml#a6e422c610c91f611590173cd595c94c5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a336cf1e870f467e44c184587a13feeec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingType &amp;pool_type)'],['../namespacearm__compute.xhtml#ae72a61a2ca5c962ab1d37065e5598060',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a1698cb24508a2bc45962bc887f18a8d0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#adec19acb64bfca26fa53ef76f03b79ef',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayoutDimension &amp;data_layout_dim)'],['../namespacearm__compute.xhtml#a685af15532d70b8682bcc52f06f034f9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a3b22e54b0ac0204c3b89aebcd695fa03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Format &amp;format)'],['../namespacearm__compute.xhtml#aa66be15c012986ebd4c1934b97e08a36',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a7929032d41d5f23cd1778a70508d0219',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#af32c4c5cdd0efde09774eb803bc8a0bd',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#af15a06b73e1fde15f0809ce07bf1ab7d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a509047aefc691398f1bb60b1f967a98b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aab8eb6dc1ba89bb8a69f1c3845988a2b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#ab398837465010958bfccff032ad1ee51',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#a0fc75dce8064a37effa5e71344b6a5d2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a5fdae5de2d2cf2e7957f0299d17ce5ec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#a6ed8dc0f587448d14a1a33cbd5fc4f70',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#afc6e49991e36423027a467eab1e405b2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window &amp;win)'],['../namespacearm__compute.xhtml#a17881750c427aedd95deba46a4366ace',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Rectangle &amp;rect)'],['../namespacearm__compute.xhtml#a8af36ae3a3613112c3a95e57f606359a',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a4287c6842a60e5f6bf309e55f8813527',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a292505a0ec686541cfe0dcfd1d651ec5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#a9a2e48a508dc85b7280f955876bb4462',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const KeyPoint &amp;point)'],['../namespacearm__compute.xhtml#abe52a76af2aa88876d54ce8a5969e509',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PhaseType &amp;phase_type)'],['../namespacearm__compute.xhtml#a530d86eec3dbd22cab6336ffdceb0d37',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MagnitudeType &amp;magnitude_type)'],['../namespacearm__compute.xhtml#a5e7a61df2b926347b42ecadf8bcc8969',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGNormType &amp;norm_type)'],['../namespacearm__compute.xhtml#ab91d110e020f6ed987e05e82df3e350b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Size2D &amp;size)'],['../namespacearm__compute.xhtml#a4228b490e13b79a60737929d9d9e5957',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGInfo &amp;hog_info)'],['../namespacearm__compute.xhtml#abd35c1c3fb716078b1f4a25981defac4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#a1f4d95d65a62a085e929ab0a1a77add2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a907c93ba5daaabf6af7095f20340d024',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a8cfa7d498e60be008d557d025fe62ff3',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Termination &amp;termination)'],['../namespacearm__compute.xhtml#a2329ad899483ca80bbffd03a63da9f5d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a29cd1c3e1b33d61a479fa49465c5a7e7',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#ae7393414bb7b814bf70e0399f2347847',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#af3cba8a4493cee4c431d128eed565ffe',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WinogradInfo &amp;info)']]],
-  ['operator_3d',['operator=',['../classarm__compute_1_1_access_window_auto_padding.xhtml#ad38db221ef94b6cd0e73f5dfd743414a',1,'arm_compute::AccessWindowAutoPadding::operator=(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#a4bca6da5857d60a9565c60b483859208',1,'arm_compute::AccessWindowAutoPadding::operator=(AccessWindowAutoPadding &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_static.xhtml#a5c6934ef061e9aeaa31fa952c05e2730',1,'arm_compute::AccessWindowStatic::operator=(const AccessWindowStatic &amp;)=delete'],['../classarm__compute_1_1_access_window_static.xhtml#af5312479f43d5fd6c46e4e8473049847',1,'arm_compute::AccessWindowStatic::operator=(AccessWindowStatic &amp;&amp;)=default'],['../classarm__compute_1_1_program.xhtml#aa960ae62f188ce6593855ea9d90f3140',1,'arm_compute::Program::operator=(const Program &amp;)=default'],['../classarm__compute_1_1_program.xhtml#ac068143ead400561b25102c60ccd817d',1,'arm_compute::Program::operator=(Program &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a9729d318da4230e664a923d7419ddf10',1,'arm_compute::Kernel::operator=(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a22bb0cebcc049eac830795a517212f75',1,'arm_compute::Kernel::operator=(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_kernel_library.xhtml#a54fb81956f9fb1c25b279e34e1e7d966',1,'arm_compute::CLKernelLibrary::operator=()'],['../classarm__compute_1_1_i_c_l_array.xhtml#aefdb6cfe839aa0835406d5adcd37de5b',1,'arm_compute::ICLArray::operator=(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a23914bc8fc4d9bb6d4c58f8c0c399c58',1,'arm_compute::ICLArray::operator=(ICLArray &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0182f7f14809fcf8e7d1b9c8afebeafd',1,'arm_compute::ICLDistribution1D::operator=()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a580c5fa0472ca0d70b463da27803a264',1,'arm_compute::ICLHOG::operator=(const ICLHOG &amp;)=delete'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#acd0d52706236fd66484a6736d059c91c',1,'arm_compute::ICLHOG::operator=(ICLHOG &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a8740c6498dafc80428e500a056135bf1',1,'arm_compute::ICLLut::operator=()'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf',1,'arm_compute::ICLSimpleKernel::operator=(const ICLSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#affc101ff7826063a907b73a062e80216',1,'arm_compute::ICLSimpleKernel::operator=(ICLSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#af72219f9b5e8803950eb8863a23c076e',1,'arm_compute::ICLTensor::operator=(const ICLTensor &amp;)=delete'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a6a7368baa4f8580ea732b2a352217b80',1,'arm_compute::ICLTensor::operator=(ICLTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a71db1bd13fefa2e7fda34b8fffa4a863',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(const CLAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aef45d046af467d9d202a92b2824664a5',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(CLAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a504ac5c99ccc4bd0131d68c40502e48f',1,'arm_compute::CLActivationLayerKernel::operator=(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a990cf59e8f064a009fd46bfd2f0b6890',1,'arm_compute::CLActivationLayerKernel::operator=(CLActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#ab83a6646bb7b3fc2fb272f0979b4a458',1,'arm_compute::CLArithmeticAdditionKernel::operator=(const CLArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a9ac3572e118daa7e7564a61cc4a0cb02',1,'arm_compute::CLArithmeticAdditionKernel::operator=(CLArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aadc6471a53d8e91fe9406609cef75065',1,'arm_compute::CLArithmeticDivisionKernel::operator=(const CLArithmeticDivisionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aeb08cc8fb5c42b9ad946cc3b75af0323',1,'arm_compute::CLArithmeticDivisionKernel::operator=(CLArithmeticDivisionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a6fd57c96408ff45f650654afa803b13e',1,'arm_compute::CLArithmeticSubtractionKernel::operator=(const CLArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a7d0ecef561fca963ab9d018fe9749098',1,'arm_compute::CLArithmeticSubtractionKernel::operator=(CLArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ac53e223f283d620ddde6084c93bf7e41',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(const CLBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a024a45436020d3890ede950c7811d472',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(CLBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7be61da82ec2dd91d19568ded3245aae',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(const CLBatchToSpaceLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a1dea04f3a69c27a284a240301e3a0e4b',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(CLBatchToSpaceLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#aa172a2abdd7040105f2be39a50f6cff2',1,'arm_compute::CLBitwiseAndKernel::operator=(const CLBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af31b1a5d8ec88a34da6d60ba2314dde1',1,'arm_compute::CLBitwiseAndKernel::operator=(CLBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#abcfb652670535dad6ec571b3b82495f4',1,'arm_compute::CLBitwiseOrKernel::operator=(const CLBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a471cff5db30df694b97fbba067271ac0',1,'arm_compute::CLBitwiseOrKernel::operator=(CLBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#ab169d4a7c722602e5952cc2a06bf38b1',1,'arm_compute::CLBitwiseXorKernel::operator=(const CLBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a2d8ca31390ad9b7a4fdef983e1ff5856',1,'arm_compute::CLBitwiseXorKernel::operator=(CLBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a8624fa8851bcb25ed99592ffc6c4ca72',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(const CLBoundingBoxTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a37f2c72d789f262cd5d5da4d553d1d3b',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(CLBoundingBoxTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a86852428dd2f3c69bd0639568c2685f8',1,'arm_compute::CLGradientKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#aaa7e7959c4a5ab3705e79d81a7e94f1d',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#ae4e8839e52f8f14feef09d819170b40d',1,'arm_compute::CLEdgeTraceKernel::operator=()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#acbed32f07c42524f3ba442584961662a',1,'arm_compute::CLChannelCombineKernel::operator=(const CLChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a0d6c1f9be7a8c0e35a438ef7b01227f8',1,'arm_compute::CLChannelCombineKernel::operator=(CLChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a9b79b58e02befadc03a8efa21453cc6d',1,'arm_compute::CLChannelExtractKernel::operator=(const CLChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a3903cf5b0f5ffd0687b19d45a39bfb72',1,'arm_compute::CLChannelExtractKernel::operator=(CLChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a91eed753a7a5519fae24b0a5c521de68',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(const CLChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a4b92456faa23eb343f8c28949c598871',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(CLChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ac0fc2aadef37fa6f20657e42b209ca62',1,'arm_compute::CLCol2ImKernel::operator=(const CLCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ad329e4f461dd51b4bc5d1cd012cfaa70',1,'arm_compute::CLCol2ImKernel::operator=(CLCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a9896faa16e3d99ed942eb845dfe41f2e',1,'arm_compute::CLColorConvertKernel::operator=(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#ab3eb38ca98e94de0917a74b8d7d47061',1,'arm_compute::CLColorConvertKernel::operator=(CLColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a15e6fb3b62f2b84abb66d48c9157eabf',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(const CLConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a900366205ae372112b90c578e34a553d',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(CLConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#afce1f7a8135ce82d5e12342bb05f8448',1,'arm_compute::CLConvolutionRectangleKernel::operator=(const CLConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#ac746b3604d6b86789f4c817e095f9147',1,'arm_compute::CLConvolutionRectangleKernel::operator=(CLConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a00d2baeddfb23da246992686b4fec2d8',1,'arm_compute::CLCopyKernel::operator=(const CLCopyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#af20173d205e0c28af1a40a28c3620646',1,'arm_compute::CLCopyKernel::operator=(CLCopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#aa537afa3c8d990b39f5faa108ae7d981',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(const CLDeconvolutionLayerUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a928c6fcbc7c772895ea482d094a95ff7',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(CLDeconvolutionLayerUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a9a9999a79bdc4e5a8fdf8192b08aeb9b',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(const CLDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a19ef5eeb9a2d0503da3c57a73dcc17f2',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(CLDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a0a10e55699b26afdf2fbf336dc9cad09',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#aa0b00eedd537493835dab315bd459441',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(CLDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a992e1f35a42f71981ee6e0846246a292',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a80467a8f9130ad9bcf8935c86c17b8b9',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a34060a1360d8a24bfa2404161406191e',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::operator=(const CLDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a54f16452e1ed7357738e3d97bcf7d50a',1,'arm_compute::CLDepthwiseWeightsReshapeKernel::operator=(CLDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aff837b05d92559e38076cb7a995f73fb',1,'arm_compute::CLDequantizationLayerKernel::operator=(const CLDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a262e0cb2fe628b335836c5386c467001',1,'arm_compute::CLDequantizationLayerKernel::operator=(CLDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a3ef5b9e1c310e83a57980bb4f897283a',1,'arm_compute::CLDerivativeKernel::operator=(const CLDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#aceb0191986422c3fcc97f2e9ed9fe15c',1,'arm_compute::CLDerivativeKernel::operator=(CLDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(const CLDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a46ab1c9fbed755d1da9729a47e6fbab2',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(CLDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a957a42f9679f5c4f84a88c16f263dd29',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(const CLDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ad63ed50363b89a76c3502ad955abbce3',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(CLDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac5e031f7c81be9bbac3372bb6edbd344',1,'arm_compute::CLFastCornersKernel::operator=(const CLFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac64dcd555f8756462b629bf58a28bfc3',1,'arm_compute::CLFastCornersKernel::operator=(CLFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a8c3e5f7865d66adaa39c33a83211f261',1,'arm_compute::CLCopyToArrayKernel::operator=(const CLCopyToArrayKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a09ceae93051ead63b10d88903c5a62be',1,'arm_compute::CLCopyToArrayKernel::operator=(CLCopyToArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a569042df5e874046fe622b6723289a86',1,'arm_compute::CLFillBorderKernel::operator=(const CLFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a8c127ae32e8e5fa6bab31910663bcde1',1,'arm_compute::CLFillBorderKernel::operator=(CLFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a547fcc142c47e9284b13bb679d902120',1,'arm_compute::CLFlattenLayerKernel::operator=(const CLFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a4e5ebebe67c530d0b358f4d6ccc89206',1,'arm_compute::CLFlattenLayerKernel::operator=(CLFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#af3d454b9904ea4bfa1effa73f766f41e',1,'arm_compute::CLFloorKernel::operator=(const CLFloorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ab55062eca1a3b9d5b1810bfb19843d42',1,'arm_compute::CLFloorKernel::operator=(CLFloorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a08f7ccb24ba2a9cc1ee843491fb6a875',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a4061297ca889d5ea28b487e092fac198',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(CLFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aab322f707d331394f70405702b43378a',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(const CLGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#ae05299dbd8e52799fc34298966f0375d',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(CLGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abd272921b9c15f9200c94898879f156a',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(const CLGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a587092ed39eaf708edbaa65e2e656ac3',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(CLGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56008f3777b30dc6b002815c904a9c34',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a156b6ea0879f0350c72168e647aa58a5',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(CLGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af520778a23d6716080043321d07e9999',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af7290399a051e470ba52daadd8d7f968',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a390552e0764d82400a910a18f3125299',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab2da8b158ac7059e84216ccdd38f2b20',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a717304a5652e324bc87586d3519518f5',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(const CLGEMMLowpOffsetContributionOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a07c632f602ba0c91be2328f2886c834b',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(CLGEMMLowpOffsetContributionOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a7cf7a001868fee687f4a6c8c3e794c8a',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a75378ca49800584eed6b3b2a7c1e80bb',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a0ca9ff96e804cc85719fdc1d668bddd2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a9076548cad19d01f077b13e9ed54e37b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a7e7357c847e9af3e3a423337c214dc21',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebe9950fc2003dbfd02b8b35db24b241',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a6ca497447b2d21dc65ea3601acbff855',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(const ICLGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a0d0f77ea73cb516c01a3d82f112ac023',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(ICLGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a4d63931364ae453852888a37f13eac8b',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(const CLGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ada53e19e832615ed9f424882d6d10df8',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(CLGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a6a78d63356d86ecf8e1ecd5b293087b8',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(const CLGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a85e8d5b8770128980c3fe00b25f6c8a2',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(CLGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aea377825b4153d8ea48905038cbb0ff1',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa158230a3f3ea998530f91a14bb8e5a2',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a8f6e00ff276bd98aaa4e791827a37832',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a1fa238f2d07ac54dec7dd391fe0f189d',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8f0a6bef58a1764ea6c38bc5facd8afd',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(const CLComputeAllAnchorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#ac74a747c507f9fa4f5bb703af980b029',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(CLComputeAllAnchorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a63257c15c82612674763a6d3333f1bd6',1,'arm_compute::CLHarrisScoreKernel::operator=(const CLHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a211406d60b24c4c7cc91cfb9062b71bd',1,'arm_compute::CLHarrisScoreKernel::operator=(CLHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#aa829a82c818f626213fd9bc071609261',1,'arm_compute::CLHistogramKernel::operator=(const CLHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#ac3d5f20bb919a975158ebaec91678b4f',1,'arm_compute::CLHistogramKernel::operator=(CLHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a2ca23ba242845400753a7a7e16dfd679',1,'arm_compute::CLHistogramBorderKernel::operator=(const CLHistogramBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a33342ad689f7359f1f1ac0576f0f4dda',1,'arm_compute::CLHistogramBorderKernel::operator=(CLHistogramBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#ab44e37937fd28a195ac52610b928b30e',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(const CLHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a130adf577eac62f41012daf42b23fc43',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(CLHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a2ca01c73542762846c37676789d69b5a',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(const CLHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae9efd0c575b2ccb193e1ad57026bb08b',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(CLHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a60f2e39807c636c8a787ae84ffadab38',1,'arm_compute::CLHOGDetectorKernel::operator=(const CLHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ab6b59ab8048946cf548b468b74cb7724',1,'arm_compute::CLHOGDetectorKernel::operator=(CLHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ac09104c975cb1ca9ad434c325be80e56',1,'arm_compute::CLIm2ColKernel::operator=(const CLIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad4b22573444ce7770618109732fe89fa',1,'arm_compute::CLIm2ColKernel::operator=(CLIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#af23b6173ce52f9c45601cea986114927',1,'arm_compute::CLIntegralImageVertKernel::operator=(const CLIntegralImageVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#ab4f161672ed88d4b2322e14d6923b4d6',1,'arm_compute::CLIntegralImageVertKernel::operator=(CLIntegralImageVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a652669238486d0d24c8bb110128dd09f',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(const CLL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ae5f2725a76406a68298da1e0618a8660',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(CLL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ac1a27a3a3f960b210716d8103c0b8d91',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(const CLLKTrackerStage0Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ab99cff1eafa85b4d0d32c5f0a9559111',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(CLLKTrackerStage0Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a0226443ff006bea34e6bbcb1fbff2422',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(const CLLKTrackerStage1Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a4f1ff65bdc81c14c9e9138d2d63aaece',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(CLLKTrackerStage1Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0cc875c804d3f82bd6eba503ede72a86',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(const CLLocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a901e93e5cfab9384f4cb0cdbe1349284',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(CLLocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a11f21edc185eb160e844aa0c4ca9c29a',1,'arm_compute::CLMagnitudePhaseKernel::operator=(const CLMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#adb678b97316f473c8134729d88d22513',1,'arm_compute::CLMagnitudePhaseKernel::operator=(CLMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ae9fa6f33d1193d47d77210d69ef74c7d',1,'arm_compute::CLMeanStdDevKernel::operator=(const CLMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ab656ceff38e0df4b5a5806e4f5eb67b3',1,'arm_compute::CLMeanStdDevKernel::operator=(CLMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a38771bb79f047fd0cd047b0a0cd5b245',1,'arm_compute::CLMemsetKernel::operator=(const CLMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a4c4ca836fbfad3983d37efde00063ee4',1,'arm_compute::CLMemsetKernel::operator=(CLMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a2111986a65074c1c464fe004b34d303c',1,'arm_compute::CLMinMaxLayerKernel::operator=(const CLMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#adc91b3c9c817c311cb61cc7b2b3259c2',1,'arm_compute::CLMinMaxLayerKernel::operator=(CLMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a9e34fe76534c1b75dfcb2f92acb16ec6',1,'arm_compute::CLMinMaxKernel::operator=(const CLMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#afbbcf7cebd0e8f3d28e4ffe74e6dfc16',1,'arm_compute::CLMinMaxKernel::operator=(CLMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#af478eeb354cb68fe0933f9f8b7e467e9',1,'arm_compute::CLMinMaxLocationKernel::operator=(const CLMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#abdf07fb560e5e5fc1a40f31826eef74f',1,'arm_compute::CLMinMaxLocationKernel::operator=(CLMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#afde39cdaeb3b4e6d1569ef49f70ccd5f',1,'arm_compute::CLNormalizationLayerKernel::operator=(const CLNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ac8bd4f3203d36457dc9968941e068e75',1,'arm_compute::CLNormalizationLayerKernel::operator=(CLNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ab690b48ceccc9c820cf866287beb5b29',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(const CLNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a2048b80d6029b907235324d9ad2c6426',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(CLNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a8137811e0b9ccdf37b28d9498b336d89',1,'arm_compute::CLPermuteKernel::operator=(const CLPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#ae18c4f52bb3f51d3bc82406baa7538fb',1,'arm_compute::CLPermuteKernel::operator=(CLPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a68ae410a0d979d2c897d840c6749e50c',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(const CLPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a18767cd831fa27f6c0d28e847509b4cf',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(CLPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1c744387eb6e27f11fed9e0383ff55b2',1,'arm_compute::CLPoolingLayerKernel::operator=(const CLPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#adf693cc1bc9aaacdfaa73e1309f4c0b3',1,'arm_compute::CLPoolingLayerKernel::operator=(CLPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a5f547852d370af5671f98d9c82d11236',1,'arm_compute::CLPriorBoxLayerKernel::operator=(const CLPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ae8c21a2324c7a6547560d9da43339ef3',1,'arm_compute::CLPriorBoxLayerKernel::operator=(CLPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a8f28dbe7a21f5ae5c54776d1953f3d39',1,'arm_compute::CLQuantizationLayerKernel::operator=(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ad4c3fe05fa833af7ab12dbd4b55a9930',1,'arm_compute::CLQuantizationLayerKernel::operator=(CLQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a95cef45f3f6052814aeb093568822559',1,'arm_compute::CLReductionOperationKernel::operator=(const CLReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#ad350df13bf68e7094f25f4f412d08707',1,'arm_compute::CLReductionOperationKernel::operator=(CLReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a1657579b2ba3f0821766eb468f0e372e',1,'arm_compute::CLRemapKernel::operator=(const CLRemapKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a5d629728142cf99ccea7c59faf2be6e2',1,'arm_compute::CLRemapKernel::operator=(CLRemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a6fefdf5ae18cbcc448ca91fd09e9fc49',1,'arm_compute::CLReorgLayerKernel::operator=(const CLReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a7a904807891e2b844f4d5b4dbe8f4d3e',1,'arm_compute::CLReorgLayerKernel::operator=(CLReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a20996021bba3428035ada51f7cdca359',1,'arm_compute::CLReshapeLayerKernel::operator=(const CLReshapeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a7accccef6f0a0cbebdb9c207253172c3',1,'arm_compute::CLReshapeLayerKernel::operator=(CLReshapeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a1c8025fb6e9da7cb8ca56da6456dfa4f',1,'arm_compute::CLROIAlignLayerKernel::operator=(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a3e59aaa873469ec951cd955115e84847',1,'arm_compute::CLROIAlignLayerKernel::operator=(CLROIAlignLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#adb81e0c5b82b5e7c586233bd3799aa8e',1,'arm_compute::CLROIPoolingLayerKernel::operator=(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2a999ff20f3b296c116c040022a205cd',1,'arm_compute::CLROIPoolingLayerKernel::operator=(CLROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#af2d37653c2c381ce8c52df533490f2c5',1,'arm_compute::CLScharr3x3Kernel::operator=(const CLScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a2f87eef8bcf07faa1c31afe31c26e2cd',1,'arm_compute::CLScharr3x3Kernel::operator=(CLScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab30b6bb92fb3a1cb0cda6dc08e9fa160',1,'arm_compute::CLSobel3x3Kernel::operator=(const CLSobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a74e510ea252d0a53cbe946c4d5914b3e',1,'arm_compute::CLSobel3x3Kernel::operator=(CLSobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a0d2de1f5a7010147dc1d6c11eaaeda37',1,'arm_compute::CLSobel5x5HorKernel::operator=(const CLSobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ade7e08981757581d709d549c627a67bf',1,'arm_compute::CLSobel5x5HorKernel::operator=(CLSobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#abc8c95a4a6d95911a79340b6015fa70c',1,'arm_compute::CLSobel5x5VertKernel::operator=(const CLSobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a708f74ad4e821b4a14cadbbc370d9124',1,'arm_compute::CLSobel5x5VertKernel::operator=(CLSobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ae61ba8aa03f08b69195f20c2c1c4d4ef',1,'arm_compute::CLSobel7x7HorKernel::operator=(const CLSobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ace492ec10b45b7c035ed6b3dac8304c1',1,'arm_compute::CLSobel7x7HorKernel::operator=(CLSobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#afa6becd7a5a59d6853e0f447ba231ac4',1,'arm_compute::CLSobel7x7VertKernel::operator=(const CLSobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a9eff4ccf54e197ca085e6a1863833cd9',1,'arm_compute::CLSobel7x7VertKernel::operator=(CLSobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(const CLLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa21cdfff7db54a9881b8220949436309',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(CLLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(const CLLogits1DMaxShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac7ea34435f64f3e3dce08ab0ce67295e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(CLLogits1DMaxShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980',1,'arm_compute::CLLogits1DNormKernel::operator=(const CLLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a31f1716a5e72003da8fcdbc0a2dec73a',1,'arm_compute::CLLogits1DNormKernel::operator=(CLLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#af040c2d971d4d1f783e5ebf8303122e3',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(const CLSpaceToBatchLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab560f4c6e6136bb2b1cb7cba49c757de',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(CLSpaceToBatchLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a519a6c648a112bd2b51216d8d1907b18',1,'arm_compute::CLStridedSliceKernel::operator=(const CLStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a14f2152dafa1ed64e1c87eb9f61e86c5',1,'arm_compute::CLStridedSliceKernel::operator=(CLStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a4581d7592c6375980e6a04fe68e10a25',1,'arm_compute::CLUpsampleLayerKernel::operator=(const CLUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a17d050562782477d758e907c70fa09d0',1,'arm_compute::CLUpsampleLayerKernel::operator=(CLUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#ad012198a049187b766ca44b356821918',1,'arm_compute::CLWeightsReshapeKernel::operator=(const CLWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#afd2802b8c9343ee51ac62d3e6bab3963',1,'arm_compute::CLWeightsReshapeKernel::operator=(CLWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a3b3917731ac9aba105792209b0e23677',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(const CLWidthConcatenate2TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a9474659ca4a4bf972731b0465dd28afd',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(CLWidthConcatenate2TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#aa6b612ddbb80c07e294cd38a3f6534d2',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(const CLWidthConcatenate4TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a26b9ccaf52c73ed92fc20f8456315592',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(CLWidthConcatenate4TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a1fb3614a59bd2812e4e44947306051a2',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(const CLWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a2da2588ff735dc5b86d33baa97234296',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(CLWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#af12f1ad3a511ea77d45654597e7a6b0b',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(const CLWinogradFilterTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#adf555d4955247783d3e3e8506234ef11',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(CLWinogradFilterTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a7ba7ccf488268bb2ba45a37165253e41',1,'arm_compute::CLWinogradInputTransformKernel::operator=(const CLWinogradInputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#af0e852f9a86d26e1f51e61e5d9b3ef47',1,'arm_compute::CLWinogradInputTransformKernel::operator=(CLWinogradInputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#ac81bc0447feaef35a4b1283d74f50b0d',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a2583a38f8ba480034d2e508a000249b9',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(CLWinogradOutputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a2e9b7d514627ea7b6bb9322dafe11c88',1,'arm_compute::CLYOLOLayerKernel::operator=(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a3bebc7ced7278e51b1feaf0d4bb71306',1,'arm_compute::CLYOLOLayerKernel::operator=(CLYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ac05f0cf4a83538e71417dc03ec328632',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a27cffe0da493a7c23c129be3f9daa03b',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(ICLDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a5b213c889050bc3844bdf110f34f602d',1,'arm_compute::Coordinates::operator=(const Coordinates &amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a9083bc0216aad5dc437d5e42d80b1061',1,'arm_compute::Coordinates::operator=(Coordinates &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_u_info.xhtml#a5c8dff64ce1ad7bdae70879024bde002',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;cpuinfo)=delete'],['../classarm__compute_1_1_c_p_u_info.xhtml#a4cacb98f89ed3d565b7b7e4dc39e7295',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;&amp;cpuinfo)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000',1,'arm_compute::ICPPSimpleKernel::operator=(const ICPPSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036',1,'arm_compute::ICPPSimpleKernel::operator=(ICPPSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ad5e0e714da35f6f95b10c19b9a59e700',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a757b938386040ccf9f1219dc85a2e78e',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a8a61183b7dece994182972d9fede3207',1,'arm_compute::CPPCornerCandidatesKernel::operator=(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a33895b1114dec6ea25e4f5e8e2468c85',1,'arm_compute::CPPCornerCandidatesKernel::operator=(CPPCornerCandidatesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#aa5182561cc171d1c74872e91fdb2d7fb',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#abc2f7094d5e8e45b4775d302fb43dae2',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4794e75ab5c5cea7d94a176b7c7ad363',1,'arm_compute::CPPFlipWeightsKernel::operator=(const CPPFlipWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a58d226da7dee0509f9f9977bf83f1f0b',1,'arm_compute::CPPFlipWeightsKernel::operator=(CPPFlipWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a2c787fefc7ee52b787ffd59a50960e2c',1,'arm_compute::CPPPermuteKernel::operator=(const CPPPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a590793a033bdef7868ed0454d91131ee',1,'arm_compute::CPPPermuteKernel::operator=(CPPPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aef5933e70f775b33c06ddc6c3d0cf8b6',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a354351e1f7d4fd2e368e9bd500f26333',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(CPPSortEuclideanDistanceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a52da9c61c30da42133ca5db7580f2afa',1,'arm_compute::CPPUpsampleKernel::operator=(const CPPUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a9ef61e2406041809b7b47b894e95c281',1,'arm_compute::CPPUpsampleKernel::operator=(CPPUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903',1,'arm_compute::Dimensions::operator=(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a80565e11a35c48747bcc2cba06931e20',1,'arm_compute::Dimensions::operator=(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1_status.xhtml#a78472b791f38ec7cdd75ee9de6e1e349',1,'arm_compute::Status::operator=(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a0e94f86f3b38636473259a2156673d0d',1,'arm_compute::Status::operator=(Status &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a4212dc2dbdd340faeba056d37cb912de',1,'arm_compute::GCProgram::operator=(const GCProgram &amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a7792915d53fb314715e22f350a174072',1,'arm_compute::GCProgram::operator=(GCProgram &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#af29ae815590ed07fc2ce2dc3f77a23a7',1,'arm_compute::GCKernel::operator=(const GCKernel &amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#ab3eebd489d16da5b5f3378781df02052',1,'arm_compute::GCKernel::operator=(GCKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a10dbce17f04221f2d1fcd3c0a91b4d69',1,'arm_compute::GCKernelLibrary::operator=()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a10d2c80e7afcb7ae1ad42ff9a649a915',1,'arm_compute::IGCSimpleKernel::operator=(const IGCSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a90f6f44d1fbbe0d2261d81f4e9f1ff7e',1,'arm_compute::IGCSimpleKernel::operator=(IGCSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a53ba7801ed7dbf945a0413addd6dc990',1,'arm_compute::IGCTensor::operator=(const IGCTensor &amp;)=delete'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#aa49cf1d6ea350774509911cad4903ad6',1,'arm_compute::IGCTensor::operator=(IGCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a341fc3300b747bccccae264218383ce8',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(const GCAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aec3a5cc14dd9d7093349b16a21b72948',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(GCAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#af9659679b5b61ba3238c0b8ab685d469',1,'arm_compute::GCActivationLayerKernel::operator=(const GCActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a021bcf856f494b4d1569842b82962015',1,'arm_compute::GCActivationLayerKernel::operator=(GCActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a9193b176607dbe93c0f60c975d8c2b84',1,'arm_compute::GCArithmeticAdditionKernel::operator=(const GCArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a2c4a1b2129be6a61aac9c389441e70f0',1,'arm_compute::GCArithmeticAdditionKernel::operator=(GCArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a83290f6748e18cbaa52313b345fcacd5',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(const GCBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#aa89e50b4172bb1f0ab4712896f34e885',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(GCBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a5c234c52d6c2f50c3a0f83a79071d7da',1,'arm_compute::GCCol2ImKernel::operator=(const GCCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3d2fb6048605f513582e658151fa640e',1,'arm_compute::GCCol2ImKernel::operator=(GCCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#ab9afd62b3b6a2b37c662e93d276c6f76',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(const GCDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#abebfa51ee1624b9c33e0b3b6fc4fc202',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(GCDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a169af81ccfe8f51bf4376f72e74fa23a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(const GCDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#af522b540d8a70a98963dffa84ec2df5a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(GCDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#accde1890da46aed35c37db0e03b2a011',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(const GCDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a3129db689f08b45abec9f42b27d4ceb6',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(GCDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#ab459f437a1e4c3b0ee7d849879d57012',1,'arm_compute::GCDropoutLayerKernel::operator=(const GCDropoutLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#aacdb813a758a3fc5f2464d679356b085',1,'arm_compute::GCDropoutLayerKernel::operator=(GCDropoutLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8c1e52332794c1706023bf8efc93bc5f',1,'arm_compute::GCFillBorderKernel::operator=(const GCFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#acef762b66d27f0589c993da6ec06ff2e',1,'arm_compute::GCFillBorderKernel::operator=(GCFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a7e17e417d15e88ba90a874bdf0b105c9',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(const GCGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#ae40506b47d5a95a953427852f39571ac',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(GCGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a9513ed3df777b10a19441a5d59f82eed',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(const GCGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8cbd9cba305baa997084f8a359492e7b',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(GCGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a84753584506a324bcd5c40cdfd6fe521',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(const GCGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a0ef270dfa14ee22080a71a44481846f6',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(GCGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a0b0ecc60be6600a55aa46dffaa803ed9',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(const GCGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6cda598544253c29aec8f10ea78a8aed',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(GCGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a430228b1b1392252b298974038b69abd',1,'arm_compute::GCIm2ColKernel::operator=(const GCIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#ab34fe16c3f4d185089ed17c0ca3d6409',1,'arm_compute::GCIm2ColKernel::operator=(GCIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a654e750446716bbc3cfdda541a95a5e2',1,'arm_compute::GCNormalizationLayerKernel::operator=(const GCNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a94528df83e5f7552728ff1e66deaaa88',1,'arm_compute::GCNormalizationLayerKernel::operator=(GCNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae6c636adc42a8a07519df0e5e3896d03',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(const GCNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ab1305e3818a2cd8b900a09acde54b4d0',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(GCNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#ab6756c0089b63f226e1a1ee5a072b07c',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(const GCPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a61ec20b184dc58b8e5ede8723b1c0790',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(GCPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a17195b1300a741bd454e3ff93781a0be',1,'arm_compute::GCPoolingLayerKernel::operator=(const GCPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a4526a56a55cab0233391eca62d7735b2',1,'arm_compute::GCPoolingLayerKernel::operator=(GCPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a54c5d88e282d0d6a6220319bb109e83a',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(const GCLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#af0b18929f9f4da6843e93ced4d7e4025',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(GCLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a9c8fd9d3157b389f42b6e44bad2d6ff9',1,'arm_compute::GCLogits1DNormKernel::operator=(const GCLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#abaf58c95d3e455c38ef3cbd91ef394d1',1,'arm_compute::GCLogits1DNormKernel::operator=(GCLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a1c1b2c1a3c18aac3c783714eb4f4bf2b',1,'arm_compute::GCTensorShiftKernel::operator=(const GCTensorShiftKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#abd8d9f6a333bdf37f9e18c2ddaad68e0',1,'arm_compute::GCTensorShiftKernel::operator=(GCTensorShiftKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#acb4ba5202d64ea2750e8322ec662b1c6',1,'arm_compute::GCWeightsReshapeKernel::operator=(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a99c47a7a9d764cf2d58241df2a24bbea',1,'arm_compute::GCWeightsReshapeKernel::operator=(GCWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a64f60c469394d4f5f621546fc3108590',1,'arm_compute::HOGInfo::operator=(const HOGInfo &amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a3f48ffe9fe37db10eb23de67101c1500',1,'arm_compute::HOGInfo::operator=(HOGInfo &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_rectangle.xhtml#abdf21e65ee4cc7cf79a43e3de64dcc7e',1,'arm_compute::AccessWindowRectangle::operator=(const AccessWindowRectangle &amp;)=delete'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a21ab33d8ab185c1321f4c213335e6802',1,'arm_compute::AccessWindowRectangle::operator=(AccessWindowRectangle &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a5d6e77370a140f10010d3cb9e2a11857',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(const NEAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#aa288278807596db819a0bb3336f6b87c',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(NEAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a87da26ad3d611150ba40ff38f4085cb5',1,'arm_compute::NEActivationLayerKernel::operator=(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a0a42b3e7cc978aad3281a4a38e277907',1,'arm_compute::NEActivationLayerKernel::operator=(NEActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a1a359a25f8e2d5b781df6fe2ccfc09a2',1,'arm_compute::NEArithmeticAdditionKernel::operator=(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9095b3a8068080cd67214ffac9cbb7f8',1,'arm_compute::NEArithmeticAdditionKernel::operator=(NEArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#abaf3795e8b23cb20a57d6fbc2250b4f2',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(const NEArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aa67dba4afaf72f6df5662cb6d7df76d3',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(NEArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(const NEBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ae8298898728d539d56119daa4424e10a',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(NEBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#afb66e99bd8740b60d7bfd59a95af23d4',1,'arm_compute::NEBitwiseAndKernel::operator=(const NEBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5a50f6206108bf3abf3b3addfa7ae73',1,'arm_compute::NEBitwiseAndKernel::operator=(NEBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a28f175e22ab8ad069112ccdaef01f50d',1,'arm_compute::NEBitwiseNotKernel::operator=(const NEBitwiseNotKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a237559c92d41048f88e3eb997e05294f',1,'arm_compute::NEBitwiseNotKernel::operator=(NEBitwiseNotKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a5d760acdcf6781fb383167594dc296eb',1,'arm_compute::NEBitwiseOrKernel::operator=(const NEBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a6a7df384121b0a711cbd580a480906a6',1,'arm_compute::NEBitwiseOrKernel::operator=(NEBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a7fd5d2db21a7b6f3d04b99eff7a65652',1,'arm_compute::NEBitwiseXorKernel::operator=(const NEBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa74a2c630bfd78719c0f1f05ffc337f4',1,'arm_compute::NEBitwiseXorKernel::operator=(NEBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ac9fb1a343e29082ecd7ffaa0216dcd35',1,'arm_compute::NEGradientKernel::operator=(const NEGradientKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a77d401f1799eff9f50baca598c912801',1,'arm_compute::NEGradientKernel::operator=(NEGradientKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a5f1f723a41130cb9ff98478cd958ac28',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a6fcd697a53de530052da4ffd113d1dd9',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4c827d25ce4451de792fa939a61402b5',1,'arm_compute::NEEdgeTraceKernel::operator=(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a2ef3350848cbf1f21b6eaba6dca4ec1b',1,'arm_compute::NEEdgeTraceKernel::operator=(NEEdgeTraceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#af7fa6b6b40f275e2f6f0afdf42aa6130',1,'arm_compute::NEChannelCombineKernel::operator=(const NEChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4dfea5b19ebe5e46148a63af9fdbc5db',1,'arm_compute::NEChannelCombineKernel::operator=(NEChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa8e7c7a49ee3042eba01b2b7c0284f8c',1,'arm_compute::NEChannelExtractKernel::operator=(const NEChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#acf451199b29e2a9a737419455bd55757',1,'arm_compute::NEChannelExtractKernel::operator=(NEChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#aba3df1c48025933b76fcdf8006e40be0',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(const NEChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a142e9c7abcda0297be54e29344121c71',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(NEChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#aaf4d8c425a336a01399b68cd46ef3467',1,'arm_compute::NECol2ImKernel::operator=(const NECol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a792c2be01569939e6d09097bf3e72994',1,'arm_compute::NECol2ImKernel::operator=(NECol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#abcba384fd1d11e611380b5751fd1b112',1,'arm_compute::NEColorConvertKernel::operator=(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ad45cf44ba984cab65018746c5dd0220c',1,'arm_compute::NEColorConvertKernel::operator=(NEColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a5d2dd5cf486c0e0093d70cf71bb1c6f5',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a63937646418861abc1a4c0293603720a',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a098833ba328ff07d483f4d8af88ee9f8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83f9b3e1b738f05c859bd919a96450e9',1,'arm_compute::NECopyKernel::operator=(const NECopyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a856f8155b59c602246ed14b348193357',1,'arm_compute::NECopyKernel::operator=(NECopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ad1f6a0449f8106bc3c4a46b784455f2b',1,'arm_compute::NECumulativeDistributionKernel::operator=(const NECumulativeDistributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a7c095c1b8d17cdebc2135d8d5f9d17a9',1,'arm_compute::NECumulativeDistributionKernel::operator=(NECumulativeDistributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a62f3ade94d8143b81d7b803d46ff791e',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(const NEDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aea34561bcec07b7c8c97836fd2b85048',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(NEDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#aa46940ddca6a4c314bda8da9e30c86e8',1,'arm_compute::NEDepthConvertLayerKernel::operator=(const NEDepthConvertLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a3807b43a5684d5d911e6b3b90e91f34b',1,'arm_compute::NEDepthConvertLayerKernel::operator=(NEDepthConvertLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(const NEDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(NEDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a71bbff3ea2feca2cd0d70f9eb01ca90b',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(const NEDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abd81a8f6c3c7905c4cd60b70f3b3080e',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(NEDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ae65a3faf404ade3e8c3baedbbdc1b3e2',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(const NEDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a9496f50398140f7f9d61fb9d22ebc58a',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(NEDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#aa1d4701f887f2d047e5b7d20b954765d',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(const NEDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a23f3339d7c703d798f3b4e3de4f9b7d3',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(NEDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a406393d4b1f6f5c6ce79c20df507a31c',1,'arm_compute::NEDequantizationLayerKernel::operator=(const NEDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a16209f1e14086b57f0f932a3b609c96f',1,'arm_compute::NEDequantizationLayerKernel::operator=(NEDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a11f5eb3a93c035acdd9fd93f3bed50bd',1,'arm_compute::NEDerivativeKernel::operator=(const NEDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac23fff6afb2efca3962209a494931591',1,'arm_compute::NEDerivativeKernel::operator=(NEDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac299dc8386e25ebcf104989623cf6000',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(const NEDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#aec3ec4dc8b3bda8ba2638fbb9d520322',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(NEDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab02c33a0e6c13a21c8b8ceed03fd8b6d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac03d137048cbb1394dab3a761cc0357d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a3b21b6f8bfa867ac4095d07b3c24dc21',1,'arm_compute::NEFastCornersKernel::operator=(const NEFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a8197fdf1bcf46e73d178e8e9e53ff7aa',1,'arm_compute::NEFastCornersKernel::operator=(NEFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a13b2df49f2f949a2bb58f712265848bf',1,'arm_compute::NEFillArrayKernel::operator=(const NEFillArrayKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a9a55c46c05fbc0a537df4c3ccc48e674',1,'arm_compute::NEFillArrayKernel::operator=(NEFillArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#aa4f538607cbe231add821baaed273d89',1,'arm_compute::NEFillBorderKernel::operator=(const NEFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#acfb02d08dc643683c69a86b220e30574',1,'arm_compute::NEFillBorderKernel::operator=(NEFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ad1005cd5f8e117e601e605fe95eb2c43',1,'arm_compute::NEFillInnerBorderKernel::operator=(const NEFillInnerBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a211e87c29190b5815452186960925f31',1,'arm_compute::NEFillInnerBorderKernel::operator=(NEFillInnerBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#aaa8caa7803a5053e7c8c2334a6aa5d82',1,'arm_compute::NEFlattenLayerKernel::operator=(const NEFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a91feb18606cd59d3557b2b98251256e5',1,'arm_compute::NEFlattenLayerKernel::operator=(NEFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a57b8231a27fbf3bd1867c384f20f0ee7',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a524b075e28c8335b5fcd97e2d0654429',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a22225d9b8a8f6d1b8fe5186be5776362',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a06af55b2547ef858438a07ee2283cb7e',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ae9136625e4f8d015a03eb45c3b57147f',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(const NEGEMMAssemblyBaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a942c394fe0e0e7e6c95d806e1211d3d9',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(NEGEMMAssemblyBaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a881d64d29e841c5177b7a443e21d4160',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(const NEGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a525a39534b1eb64631f04062d8ea992e',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(NEGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a88b3f84ef7b1572db87c30c5ec62d3ad',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(const NEGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a29cc574f2f167b0472aad01be662d35c',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(NEGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#afd56f1f0c54f327fcfb4ca91d7d91566',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a2709f3f3c7480d4f0e5fb8de1dc4544b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#acaa1e82e83b4152c28bd01c9422898df',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a29edb028c92e2e9225cdafbf06b9beb1',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#aaf80d9eb45e49a22571fa0129a7e9d20',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(const INEGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a46dac32640298b745aeae7823c9582ee',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(INEGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a409dfc45a8604ff384712328a6c31e90',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(const NEGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a94d9d77f258a9f6f392f391086e93db1',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(NEGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a7bf4194c21adc060991ddb88ed4c8b60',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(const NEGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#adc1be2dee3a4aeeb959cf2ec7aec7657',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(NEGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a7374bb3f1d0e7e9cd4ba2c33f03fe24d',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(const NEGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a864371293368156a359430d90ebb7670',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(NEGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ae4d0d8ff6021bdee6922e6993042e7ae',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(const NEGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aa31c613d796b81e7ea7abdf0bfe68291',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(NEGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a232af38fd41caa594d7bc0571f56f50c',1,'arm_compute::INEHarrisScoreKernel::operator=(const INEHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a8c5c5c5c31d1d2eb36f6c8f71e7e181e',1,'arm_compute::INEHarrisScoreKernel::operator=(INEHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a141d3236a2c874c5ea0ac78776b4433b',1,'arm_compute::NEHistogramKernel::operator=(const NEHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4d612efbb9c534d6d89d397e65d816dd',1,'arm_compute::NEHistogramKernel::operator=(NEHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#aba51399633359154d6d92ac157ec2d79',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(const NEHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a777b74a7fe06dca3142df7575cfdb8d1',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(NEHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a82a657d81256fe50dadf69b32daeff7f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(const NEHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab4a44853a753d8217b53760a605ad81f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(NEHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a1950ead36156919ea0345e72bfe91e4f',1,'arm_compute::NEHOGDetectorKernel::operator=(const NEHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#afa7fbb664ca96646837a43aea8e9a5e8',1,'arm_compute::NEHOGDetectorKernel::operator=(NEHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a8f6d6c13a896535a381329b6145aeae8',1,'arm_compute::NEIm2ColKernel::operator=(const NEIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a6a2aca1636f47703585803ca05d10180',1,'arm_compute::NEIm2ColKernel::operator=(NEIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a8028a2c0f5d9fedccbaa8b10c91fcacc',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(const NEL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a4cc3301a251cb2c41fba0752ea047781',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(NEL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a4fca340cdf3937fc9d34364c0c63b87f',1,'arm_compute::NELKTrackerKernel::operator=(const NELKTrackerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab71320bdcd0dfbee682dd61b8c1c0b0c',1,'arm_compute::NELKTrackerKernel::operator=(NELKTrackerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a6fbdf09b0ad8f3aafc550d4dc235dcc8',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(const NELocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#aa05b3e5b37ad26879891dfcbe27a3202',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(NELocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a792f1b5315b3678896a2dd5eab8b692b',1,'arm_compute::NEMagnitudePhaseKernel::operator=(const NEMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ad45c0851db2721a94c831cbc6f30a037',1,'arm_compute::NEMagnitudePhaseKernel::operator=(NEMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a8658dfa985e2cd5805d4756eed25638d',1,'arm_compute::NEMeanStdDevKernel::operator=(const NEMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#addfd7a52f0ae7ff3ff637834f4cb977c',1,'arm_compute::NEMeanStdDevKernel::operator=(NEMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#affeb443f03d30ae971488ad113d4b95a',1,'arm_compute::NEMinMaxLayerKernel::operator=(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a830cb672edfb4d805d7b6142971cfc05',1,'arm_compute::NEMinMaxLayerKernel::operator=(NEMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a9b6ac356956d5d7dfb97871dfa8daa8e',1,'arm_compute::NEMinMaxKernel::operator=(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a8b315188bf6d2dc453acbf411c477971',1,'arm_compute::NEMinMaxKernel::operator=(NEMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab9a7c76bf701e9dbed2fd52ae73e7774',1,'arm_compute::NEMinMaxLocationKernel::operator=(const NEMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a27b90206d81f057e8bb3c921f51e5190',1,'arm_compute::NEMinMaxLocationKernel::operator=(NEMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ad1c7427d0764b87f44110b99e6ef711a',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a3951d5222dbce29fef63aa1c972bd5db',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#abd07bcfd3e6a025406dfaffbf9d44e3d',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(const NENonMaximaSuppression3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef123a42a08a4258997924a27803a565',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(NENonMaximaSuppression3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7221fb56d3119c94875fbf76addc27fe',1,'arm_compute::NENormalizationLayerKernel::operator=(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a37d9ddfcfeee1a4993746c2d3ab51290',1,'arm_compute::NENormalizationLayerKernel::operator=(NENormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a361148b07189c79f5a4178e718424554',1,'arm_compute::NEPermuteKernel::operator=(const NEPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a62da7f629d96facdeaf3e712c1a4f5af',1,'arm_compute::NEPermuteKernel::operator=(NEPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a6685c2ffbda12dbf1e4706b85c688e19',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(const NEPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#aaa5c44de29693435660b5c849c62e991',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(NEPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a1729479f9686c64edfd1a4af834d634b',1,'arm_compute::NEPoolingLayerKernel::operator=(const NEPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a0e9871f265535f65226b65ae64ab2cfb',1,'arm_compute::NEPoolingLayerKernel::operator=(NEPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a93a51f56a003ef272a4418e4bce15452',1,'arm_compute::NEPriorBoxLayerKernel::operator=(const NEPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a790572f0ca2723a5fe92abbc24949b84',1,'arm_compute::NEPriorBoxLayerKernel::operator=(NEPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aefff097fc5214bd2e8cecfbaa90cad3d',1,'arm_compute::NEQuantizationLayerKernel::operator=(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a56c4b1f3df503c5f6308c318e305d7f8',1,'arm_compute::NEQuantizationLayerKernel::operator=(NEQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a09d7fa5d5000365b8b7b2b7234b52615',1,'arm_compute::NEReductionOperationKernel::operator=(const NEReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a826800dc56e2295a28291f51c631c5ba',1,'arm_compute::NEReductionOperationKernel::operator=(NEReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#aa9096c3897bd0dbda632613a243fa835',1,'arm_compute::NERemapKernel::operator=(const NERemapKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ac19511f65e6bad8424d4dd8933e0b673',1,'arm_compute::NERemapKernel::operator=(NERemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a8043dc90b47d430e6c9c570b4d39ec64',1,'arm_compute::NEReorgLayerKernel::operator=(const NEReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a48da94ae894674d8009281d0bda17f62',1,'arm_compute::NEReorgLayerKernel::operator=(NEReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ac5110dfc692959c2e852b827976e138b',1,'arm_compute::NEROIPoolingLayerKernel::operator=(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a5224515065ba1467fd0cf092b08cc614',1,'arm_compute::NEROIPoolingLayerKernel::operator=(NEROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a9bc5c918a86ea34e0a7cc2559c010596',1,'arm_compute::NEScaleKernel::operator=(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa2d0e6d7ced452bc623cd3020e3026c7',1,'arm_compute::NEScaleKernel::operator=(NEScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a9e56daa4acb0848264206cbcabd71fb6',1,'arm_compute::NEScharr3x3Kernel::operator=(const NEScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa4a99a8888c2b726eb11026235e1df4b',1,'arm_compute::NEScharr3x3Kernel::operator=(NEScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a9e9f9a009b184aa9b7a95c08c5312c40',1,'arm_compute::NESobel3x3Kernel::operator=(const NESobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ad278035b8f39d6cbfd3e4f0df8c2267e',1,'arm_compute::NESobel3x3Kernel::operator=(NESobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9e6242e9d05e2d354358200b6b0c9bce',1,'arm_compute::NESobel5x5HorKernel::operator=(const NESobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a3e6b2451b91f83ba01eaa137cd43ad92',1,'arm_compute::NESobel5x5HorKernel::operator=(NESobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a8954c998e67758f56891caf8da30c953',1,'arm_compute::NESobel5x5VertKernel::operator=(const NESobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a59d1a2b1ef3d2b7e3bc5e942714d102a',1,'arm_compute::NESobel5x5VertKernel::operator=(NESobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aa565986054157308084976722c25cb40',1,'arm_compute::NESobel7x7HorKernel::operator=(const NESobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aea088a2f4df212fdf1fdf5c345097ee7',1,'arm_compute::NESobel7x7HorKernel::operator=(NESobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a175a100761bb3f0643d8a53cc50347c9',1,'arm_compute::NESobel7x7VertKernel::operator=(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a119c48528fa6440b33a4e25c9825d07f',1,'arm_compute::NESobel7x7VertKernel::operator=(NESobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a521b1174aeab742708cee344f456991f',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(const NELogits1DSoftmaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a6f530ecf884240c9e1efbacc620515f4',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(NELogits1DSoftmaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a07bb7672d1a33bacdb6d6c03329be8bc',1,'arm_compute::NETableLookupKernel::operator=(const NETableLookupKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aa8401b21e8ec6f12716f91a8e84f2b88',1,'arm_compute::NETableLookupKernel::operator=(NETableLookupKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ade42f76ebc9cf95d29f8642069d1c0c2',1,'arm_compute::NEThresholdKernel::operator=()'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a6feb51cd492d39a63e9455dac72bc030',1,'arm_compute::NETransposeKernel::operator=(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#aef05df94b7db653754d21e0b341cb911',1,'arm_compute::NETransposeKernel::operator=(NETransposeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#aed69b535a05e3c953dfdb4255535f72b',1,'arm_compute::NEUpsampleLayerKernel::operator=(const NEUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab275a3356e327941325a5023ddcf407b',1,'arm_compute::NEUpsampleLayerKernel::operator=(NEUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7fec20804044646d6a855713fe6573ae',1,'arm_compute::INEWarpKernel::operator=(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a724673b78b929bbbd03f746c75ad2ec7',1,'arm_compute::INEWarpKernel::operator=(INEWarpKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a412907d43b6f7ce6cce48207e8af83cd',1,'arm_compute::NEWeightsReshapeKernel::operator=(const NEWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a613d3b6daf647da39d73bdad79cf0ba7',1,'arm_compute::NEWeightsReshapeKernel::operator=(NEWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a71e697bc4b8d464bf4dbe5a214b977cc',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(const NEWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a5494f151a0889375c2cc2f9f8ce1d6e8',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(NEWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a899571657a22f26128c31b35588c8fb8',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(const NEWinogradLayerTransformInputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a18abeb1ed663c61bbbdc32a0d3ecef7e',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(NEWinogradLayerTransformInputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a751da38633e08a705df626b6146085b2',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(const NEWinogradLayerTransformOutputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40b55a1414f014115c6aef7bc8656825',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(NEWinogradLayerTransformOutputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ae43e71907cc8f09be3338c84c18701bb',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(const NEWinogradLayerTransformWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a5dbb04cc8d65cafca5884f9c2c5a82b8',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(NEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab22183b5230b6cbcfd18ce0cda810774',1,'arm_compute::NEYOLOLayerKernel::operator=(const NEYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a036c2e4605e7fcbcb08974e5aff3b0eb',1,'arm_compute::NEYOLOLayerKernel::operator=(NEYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34',1,'arm_compute::PyramidInfo::operator=(const PyramidInfo &amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a09f1ed0da3ccc973d44d1156aff150f9',1,'arm_compute::PyramidInfo::operator=(PyramidInfo &amp;&amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a19a1cb67274c32a121bda25311368aa5',1,'arm_compute::Steps::operator=(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a3fbb5c5f85131d56480ce42a77e6f8e1',1,'arm_compute::Steps::operator=(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a0b6f9231ca0331d1a3194a3c921b3007',1,'arm_compute::Strides::operator=(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a8176792e94ac0c326c5338c46e6594fc',1,'arm_compute::Strides::operator=(Strides &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac9cb71b17117e1185de0ae5f11066f09',1,'arm_compute::SubTensorInfo::operator=(const SubTensorInfo &amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a96c95f8cb79e02b44aa016e7842a4b68',1,'arm_compute::SubTensorInfo::operator=(SubTensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b',1,'arm_compute::TensorInfo::operator=(const TensorInfo &amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e',1,'arm_compute::TensorInfo::operator=(TensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a',1,'arm_compute::TensorShape::operator=(const TensorShape &amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#afbfae7c97606fb71d556a9f4e46dda00',1,'arm_compute::TensorShape::operator=(TensorShape &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aa2c515476ae6f0e68d097df16d1fcc6b',1,'arm_compute::ValidRegion::operator=(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aee2d91caa7e213cece8c633926cff9c2',1,'arm_compute::ValidRegion::operator=(ValidRegion &amp;&amp;)=default'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a9ffd691a00a5c9080528c3b852bda144',1,'arm_compute::io::FileHandler::operator=(const FileHandler &amp;)=delete'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54f342231c056055100190a5429e4689',1,'arm_compute::io::FileHandler::operator=(FileHandler &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::logging::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a656c066d5514e0cb94ddbfadab0f0d62',1,'arm_compute::logging::Printer::operator=(Printer &amp;&amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#ab18882a3175cd53305509643329a400a',1,'arm_compute::logging::Logger::operator=(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a3f823d85882db15d1dd140a21ca391e2',1,'arm_compute::logging::Logger::operator=(Logger &amp;&amp;)=default'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a7768b7b80a8b640dae911af38e3315a2',1,'arm_compute::Window::Dimension::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#adfcd04c831f29841dd197ffe95dd091b',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(CLSubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a3a3488108174600975461132e1e3cc03',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(const CLSubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ae6fbac5bb10b8f2bb45c86757823fd4c',1,'arm_compute::graph::backends::CLTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ace31806f68dba1602155ce7ac97eaabb',1,'arm_compute::graph::backends::GCTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a74bed133a977865cdde5a939e0f98910',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a21f1dbacc549582a3c3517697c25e9d4',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(const NESubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ad9b26271249b5922e416b762ca69c8d1',1,'arm_compute::graph::backends::NETensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#af0302d3fc7712901f4a536d0fb27dc3c',1,'arm_compute::graph::frontend::ROIAlignLayer::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4be4b83054829b12ec645bb454e6b9cc',1,'arm_compute::graph::frontend::Stream::operator=(const Stream &amp;)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a47609f455f49a8f991eff13b250d2077',1,'arm_compute::graph::frontend::Stream::operator=(Stream &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph.xhtml#acbe0278ebf263a33f3d0b9b4be834961',1,'arm_compute::graph::Graph::operator=(const Graph &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph.xhtml#ab7c768cbf48a5cf81c0cfc1fa27a94ef',1,'arm_compute::graph::Graph::operator=(Graph &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a486c42cfea65bf964404f77404dba8da',1,'arm_compute::graph::GraphContext::operator=(const GraphContext &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a52ee8d390e25147e776bfcb39b010947',1,'arm_compute::graph::GraphContext::operator=(GraphContext &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a5d30e27e2d3ceaa4f575d84881c099aa',1,'arm_compute::graph::GraphManager::operator=(const GraphManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a7e6bc69b0ad4be79c10f72debc89dfc8',1,'arm_compute::graph::GraphManager::operator=(GraphManager &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170',1,'arm_compute::graph::INode::operator=(const INode &amp;)=delete'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249',1,'arm_compute::graph::INode::operator=(INode &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a152bf09057df80a0f6e5be985575ed80',1,'arm_compute::graph::ROIAlignLayerNode::operator=()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a09bdb150e721834eab846495da9275f9',1,'arm_compute::graph::PassManager::operator=(const PassManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a80b283e26291370143876b3764724fa3',1,'arm_compute::graph::PassManager::operator=(PassManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab8635dfa3dda23bdf12511b1580b4e3f',1,'arm_compute::BlobLifetimeManager::operator=(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a6c3ced2dfa5fbe59969d3e948ba9d329',1,'arm_compute::BlobLifetimeManager::operator=(BlobLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_memory_pool.xhtml#a48ffa311cc6842633aff367dd6f0d601',1,'arm_compute::BlobMemoryPool::operator=(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aefaf0120dcb471db4f69ad73c6a79a8b',1,'arm_compute::BlobMemoryPool::operator=(BlobMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#a36d785dc1a6a88471030943546aa8f51',1,'arm_compute::CLArray::operator=(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#aef6598a7ef623f1d4cb051d85176997b',1,'arm_compute::CLArray::operator=(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a5d11cfbbf69ebbd595d8aee3ecbafedb',1,'arm_compute::CLDistribution1D::operator=()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a2de13c6fbd9dd5506f12627b87415a51',1,'arm_compute::CLLutAllocator::operator=()'],['../classarm__compute_1_1_c_l_memory.xhtml#a74574cd4936f64bf0486bae1000a42c9',1,'arm_compute::CLMemory::operator=(const CLMemory &amp;)=default'],['../classarm__compute_1_1_c_l_memory.xhtml#af8add9f91e083ecba5952ab92de6eaf6',1,'arm_compute::CLMemory::operator=(CLMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#aba791ecf7c921e9a1c8d84baa7dd270e',1,'arm_compute::ICLMemoryRegion::operator=(const ICLMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#ad09657054c2f981a19b9ac7e4b95bd30',1,'arm_compute::ICLMemoryRegion::operator=(ICLMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a9e7404a38329c9f1fcce42b8098dc6f9',1,'arm_compute::CLSubTensor::operator=(const CLSubTensor &amp;)=delete'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#aee53085b838758adfce05657de25f5c5',1,'arm_compute::CLSubTensor::operator=(CLSubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a74c9c61e0615334fdeb176f21828a98f',1,'arm_compute::CLTensorAllocator::operator=(const CLTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#aba115eb9c458f9e99b8c3fa3975a74a3',1,'arm_compute::CLTensorAllocator::operator=(CLTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#a390de29c61d4843b56ae0d39fe1f139d',1,'arm_compute::CLCannyEdge::operator=()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ab6c49b1e869d3874128118b3fee4e57a',1,'arm_compute::CLDeconvolutionLayer::operator=(const CLDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0ea8cc5ad0f1e5d941a037fe1397e44e',1,'arm_compute::CLDeconvolutionLayer::operator=(CLDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a8d005b2a08fa38af8837e78acdc96267',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(const CLDeconvolutionLayerUpsample &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#adf54c803735c542ac8cedbb7c3f262c7',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(CLDeconvolutionLayerUpsample &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#acf1baa6f148b8ac41e5a766f599784de',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ae2f97590ca5e33e6dbc69628dd2e5d2a',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(CLDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a7e879d333563f4c267fa128928066842',1,'arm_compute::CLDequantizationLayer::operator=()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#a5376467035ae425342d9feb333452d07',1,'arm_compute::CLFastCorners::operator=()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a1bee19103166ceb1eedef2e6a4fe6515',1,'arm_compute::CLFullyConnectedLayer::operator=(const CLFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8a5afe02cef06665b7d7349a8ecbd109',1,'arm_compute::CLFullyConnectedLayer::operator=(CLFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a2b3915cc930d8148512e6ad76889c698',1,'arm_compute::CLFuseBatchNormalization::operator=(const CLFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a7744243a28857c04dc3cb94eb6de02c4',1,'arm_compute::CLFuseBatchNormalization::operator=(CLFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afc0bb21e48fb78591b51913eba818410',1,'arm_compute::CLGaussianPyramid::operator=(const CLGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#aa3f47917f1cb44a55c93363eaaf39c6e',1,'arm_compute::CLGaussianPyramid::operator=(CLGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039',1,'arm_compute::CLGEMM::operator=(const CLGEMM &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a83a121357a2121ef7f0670b3f81e4645',1,'arm_compute::CLGEMM::operator=(CLGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a025e6bce0640a6cb5ecdab8a3e57f9a0',1,'arm_compute::CLGEMMConvolutionLayer::operator=(const CLGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a78f1fff174957ab8dd876ee696d5a749',1,'arm_compute::CLGEMMConvolutionLayer::operator=(CLGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ac2494e2fd961a2305ebb15469ddb61c8',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(const CLGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aeafe3e59b630d85d379ee50e41568fe2',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(CLGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a70eba8b239fb2bd6f1a710f3c11cadfe',1,'arm_compute::CLGenerateProposalsLayer::operator=(const CLGenerateProposalsLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a3f7c854f0828f431c0b0376af42df0f4',1,'arm_compute::CLGenerateProposalsLayer::operator=(CLGenerateProposalsLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#adda387b61b237daaf8579249f84751a5',1,'arm_compute::CLHarrisCorners::operator=()'],['../classarm__compute_1_1_c_l_histogram.xhtml#acb6c95349bcbf0a7f25e7e7e1e8f4b0e',1,'arm_compute::CLHistogram::operator=()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#abec8de5d26dba14703efc9f1e49e1053',1,'arm_compute::CLHOGDetector::operator=(const CLHOGDetector &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#aa2d5fe72d2db4b034a829c0a92c80783',1,'arm_compute::CLHOGDetector::operator=(CLHOGDetector &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#a4dc60a1da8bf41adb6c4d3c428a17415',1,'arm_compute::CLHOGMultiDetection::operator=()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a24d00f8384ab6f705aa3fe84f05c142b',1,'arm_compute::CLLocallyConnectedLayer::operator=(const CLLocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a62556f200fe50d1b6f02f813ded415f0',1,'arm_compute::CLLocallyConnectedLayer::operator=(CLLocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#a3bef7233d145e0bf1c7f8d5bc6de10c8',1,'arm_compute::CLMeanStdDev::operator=(const CLMeanStdDev &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ae8a26d490bb3e1aef9c3365c1a1e0405',1,'arm_compute::CLMeanStdDev::operator=(CLMeanStdDev &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a5ec34a951324ad9bd8bf06d8620369ed',1,'arm_compute::CLMinMaxLocation::operator=(const CLMinMaxLocation &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a54669d0a20e3df491886372d4cffef69',1,'arm_compute::CLMinMaxLocation::operator=(CLMinMaxLocation &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a68eed0e07674cc6e041d5dc0fecd8c27',1,'arm_compute::CLOpticalFlow::operator=(const CLOpticalFlow &amp;)=delete'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a24252fc100901855c82e8703834f9634',1,'arm_compute::CLOpticalFlow::operator=(CLOpticalFlow &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a70408a1376ad3c51c4a4ac31606ef731',1,'arm_compute::CLSpaceToBatchLayer::operator=(const CLSpaceToBatchLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aae636d5d5d69bd1e0a94703499b61143',1,'arm_compute::CLSpaceToBatchLayer::operator=(CLSpaceToBatchLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a78c051cce781f02d3b983248fe62a420',1,'arm_compute::CLUpsampleLayer::operator=(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ae1cf67f6c813d92aba68280f72302d3e',1,'arm_compute::CLUpsampleLayer::operator=(CLUpsampleLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a548924ae4a250d1010c286069c55d921',1,'arm_compute::CLWinogradConvolutionLayer::operator=(const CLWinogradConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a750abd85a10f58e3af2d82c62d21a730',1,'arm_compute::CLWinogradConvolutionLayer::operator=(CLWinogradConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2',1,'arm_compute::LSTMParams::operator=()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a87ed9138ded739663871c103fc77b36a',1,'arm_compute::GCConvolutionLayer::operator=(const GCConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a0a2e80b84845bf2538dd5770089913b7',1,'arm_compute::GCConvolutionLayer::operator=(GCConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0f630efcedbbbc70828b135558481d0a',1,'arm_compute::GCFullyConnectedLayer::operator=(const GCFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#af0b25842ef10cd339adaff0d90a991a6',1,'arm_compute::GCFullyConnectedLayer::operator=(GCFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a40c629523cd60defececec852c96bde9',1,'arm_compute::GCGEMM::operator=(const GCGEMM &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a007cee76f844c83fd782c9f7f5183ea8',1,'arm_compute::GCGEMM::operator=(GCGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a9a8c0ce9078d258d67a4cc1a8be581b0',1,'arm_compute::GCMemory::operator=(const GCMemory &amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a124afb1dbc1e3edb86f8ff7422551181',1,'arm_compute::GCMemory::operator=(GCMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a9b586073abda157c8aa9cfc1d1a6baf7',1,'arm_compute::IGCMemoryRegion::operator=(const IGCMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#aa070a495e1556ae2dd1cbcbdc7731d01',1,'arm_compute::IGCMemoryRegion::operator=(IGCMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor.xhtml#aa4f270493cf446b73c02f830e92be848',1,'arm_compute::GCTensor::operator=(const GCTensor &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor.xhtml#ac819d83569c1bcd78c6e56dcdb995791',1,'arm_compute::GCTensor::operator=(GCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a56164dac01e367ad6b509517cd94464a',1,'arm_compute::GCTensorAllocator::operator=(const GCTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a70d4c3ea42d68d50cc207d343173696a',1,'arm_compute::GCTensorAllocator::operator=(GCTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_i_lut_allocator.xhtml#afc1c53ed4dcc1a723b9b9dcf67c578a1',1,'arm_compute::ILutAllocator::operator=()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a0f0200cb55880b234ad6b5957bcf4f1a',1,'arm_compute::ISimpleLifetimeManager::operator=(const ISimpleLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a55b290d729e4102cd5598bf68970d465',1,'arm_compute::ISimpleLifetimeManager::operator=(ISimpleLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a12e5f2915e2461321b130dcf84f3e268',1,'arm_compute::ITensorAllocator::operator=(const ITensorAllocator &amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a46277b6e964a66a9936e06f9989f0ff6',1,'arm_compute::ITensorAllocator::operator=(ITensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5e46e80e8811b4deb258cd55124e55a8',1,'arm_compute::Memory::operator=(const Memory &amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5f1c7301ebe0c0bb6fb68b74863c1eaf',1,'arm_compute::Memory::operator=(Memory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_memory_group_base.xhtml#a597892bd64122315e3329751f634c20e',1,'arm_compute::MemoryGroupBase::operator=(const MemoryGroupBase &amp;)=delete'],['../classarm__compute_1_1_memory_group_base.xhtml#acdceaca325dbcee01e9abebd2e4586dc',1,'arm_compute::MemoryGroupBase::operator=(MemoryGroupBase &amp;&amp;)=default'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#a1bd945bc8d435108eb44610985af22c2',1,'arm_compute::MemoryManagerOnDemand::operator=(const MemoryManagerOnDemand &amp;)=delete'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#ae1fea3bf72cb300aab21e99cb8b278b9',1,'arm_compute::MemoryManagerOnDemand::operator=(MemoryManagerOnDemand &amp;&amp;)=default'],['../classarm__compute_1_1_memory_region.xhtml#a56244352ef17c3750434e3fd479859cb',1,'arm_compute::MemoryRegion::operator=(const MemoryRegion &amp;)=delete'],['../classarm__compute_1_1_memory_region.xhtml#a532920766558c751318576ff10974178',1,'arm_compute::MemoryRegion::operator=(MemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ac959141838870719b552af8918577e72',1,'arm_compute::NEGEMMInterleavedWrapper::operator=()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a325fac2836aecb2da2f86b7699e2b359',1,'arm_compute::NECannyEdge::operator=()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af81e2210787e1864c8bc6458b3072f6e',1,'arm_compute::NEDeconvolutionLayer::operator=(const NEDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad441ee7d0846b6acc9d515383525ba52',1,'arm_compute::NEDeconvolutionLayer::operator=(NEDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a883ebadadd34cf5dfead2ba71777df5c',1,'arm_compute::NEDepthConvertLayer::operator=()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa450bb01e6984892ca2a04078b9c653d',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(const NEDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a360587fb0ea89c5937fbbc8e0c5f2e9f',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(NEDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61',1,'arm_compute::NEFullyConnectedLayer::operator=(const NEFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#abebe778a14cc04d5e891c85000bbf75d',1,'arm_compute::NEFullyConnectedLayer::operator=(NEFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a097e83a75f775a2d592e9779c372c2c2',1,'arm_compute::NEGaussianPyramid::operator=(const NEGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a30c3a425c100798c86932c0ff6d12bb3',1,'arm_compute::NEGaussianPyramid::operator=(NEGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a01cad4311af868f78ee3de9e09b4a6a8',1,'arm_compute::NEGEMM::operator=(const NEGEMM &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a296a65f1339d5d42de2fd545a9dc6c6d',1,'arm_compute::NEGEMM::operator=(NEGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a402fbf95b304d32f0010dd4b1a2e9b90',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(const NEGEMMAssemblyDispatch &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ac0b8f2b6d502446ead81a7e5862bc6ab',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(NEGEMMAssemblyDispatch &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ac13c7e80f7e9e6f1e2912ef50678c5c9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(const NEGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a0a7030af14bb803820435ca75009b0f9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(NEGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a6cf92b4f83cc26a87883df2e1eb54f9c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(const NEGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1f225eb8d049d500f6ea74116105e16e',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(NEGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a700706067ae7a82357f78ab2513cac99',1,'arm_compute::NEHOGMultiDetection::operator=()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a2011fb7b44e76ebd2957034db21a81b0',1,'arm_compute::NELocallyConnectedLayer::operator=(const NELocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aae34e0091ee3636e2e9f80d7c69aa3a9',1,'arm_compute::NELocallyConnectedLayer::operator=(NELocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a21df3a34e101b1a8f689aa6326b90441',1,'arm_compute::NEOpticalFlow::operator=()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ae2d47df9fdf935549764571144c6c1c1',1,'arm_compute::NERNNLayer::operator=(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a9b76a4c1bbcb9d6dc0573fb8ef3be3b8',1,'arm_compute::NERNNLayer::operator=(NERNNLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#af00f525fea55946a514cfec3e4b95cf2',1,'arm_compute::NEWinogradConvolutionLayer::operator=()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ac0f085875ec28fc74854dde66e516d40',1,'arm_compute::OffsetLifetimeManager::operator=(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#af80823abd6f1c0958ace5e7c1bb7833e',1,'arm_compute::OffsetLifetimeManager::operator=(OffsetLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a99daecc3ea244297f40ff2d8bbed79e5',1,'arm_compute::OffsetMemoryPool::operator=(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a7c0cd0404fd5482c2229abf8b93d1f59',1,'arm_compute::OffsetMemoryPool::operator=(OffsetMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_pool_manager.xhtml#a2bfc06a61c655c3a5b8638336c6f504f',1,'arm_compute::PoolManager::operator=(const PoolManager &amp;)=delete'],['../classarm__compute_1_1_pool_manager.xhtml#a1989d6763b5a90b6cc2a4d8313001424',1,'arm_compute::PoolManager::operator=(PoolManager &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor.xhtml#a90a31c7d9dde928db10b23bccd64b87d',1,'arm_compute::SubTensor::operator=(const SubTensor &amp;)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#ab77dfdfcd9be21524025d71a9650fba5',1,'arm_compute::SubTensor::operator=(SubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_tensor.xhtml#a008f5e2a1c019e9b401753210a99ddfe',1,'arm_compute::Tensor::operator=()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a943854ce6f3aafac2714340e0915de75',1,'arm_compute::TensorAllocator::operator=(const TensorAllocator &amp;)=delete'],['../classarm__compute_1_1_tensor_allocator.xhtml#ace0f71b15cbb5b468070f5a2fd4110ad',1,'arm_compute::TensorAllocator::operator=(TensorAllocator &amp;&amp;) noexcept'],['../classarm__gemm_1_1_buffer.xhtml#a5e31690a2c14a3428593c0af4435158a',1,'arm_gemm::Buffer::operator=()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a8dbc0e51b4dc4103bcd2d7429882f25a',1,'arm_gemm::BufferManager::operator=()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#af03b8e4289fa0e112d315dd7e25ec696',1,'arm_gemm::GemmInterleaved::operator=()'],['../classarm__gemm_1_1_gemm_native.xhtml#a27d1c82132d0cae0a2d04fb3c5c4b6d3',1,'arm_gemm::GemmNative::operator=()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a1de2cd698285048e8b3d214bf773430f',1,'arm_gemm::GemvNativeTransposed::operator=()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a4bd9591d6da5b65a99c56f82acc14c4c',1,'arm_gemm::GemvPretransposed::operator=()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61',1,'arm_compute::test::CLAccessor::operator=(const CLAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#afbf0737f9bb10f445830a603552ee7ca',1,'arm_compute::test::CLAccessor::operator=(CLAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a56b520c98dd5187fb13b7ee4f0356e93',1,'arm_compute::test::CLArrayAccessor::operator=(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ad0aeb1c3b2795a2008703a500d05f7f1',1,'arm_compute::test::CLArrayAccessor::operator=(CLArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#aad095a31506317d73c3a890efed1a77e',1,'arm_compute::test::CLHOGAccessor::operator=(const CLHOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a9b6519d4333c2f3a7335fdeba8ad036e',1,'arm_compute::test::CLHOGAccessor::operator=(CLHOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a4fb1029695f6ad5dcb495b61bf01ff12',1,'arm_compute::test::CLLutAccessor::operator=(const CLLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#ad3048c2580c341fd76b3647f8f71662a',1,'arm_compute::test::CLLutAccessor::operator=(CLLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a969cbf086a9939be47ea26a557ebf440',1,'arm_compute::test::framework::CommonOptions::operator=()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae4a6c66ea355204cca47490247b91f5f',1,'arm_compute::test::framework::Instrument::operator=(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a550047da2682a06765be837ae570e542',1,'arm_compute::test::framework::Instrument::operator=(Instrument &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a6a1582aa0e3a2791a9e3a00d3001d66e',1,'arm_compute::test::framework::MaliCounter::operator=()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a38d3874bedeff5dfa1957112a40b08c9',1,'arm_compute::test::framework::SchedulerClock::operator=(const SchedulerClock &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#acd51d33419e5e10f03554e58d6bada4e',1,'arm_compute::test::framework::SchedulerClock::operator=(SchedulerClock &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::test::framework::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab9efee145dd3e600454d5790050051ab',1,'arm_compute::test::framework::Printer::operator=(Printer &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a47f2ee4769e9519ed011fcc8b4c25b80',1,'arm_compute::test::GCAccessor::operator=(const GCAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a0d69d9b5b77ad212fbc3c30717653256',1,'arm_compute::test::GCAccessor::operator=(GCAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a75dae34a374af1dc690c73cda2605586',1,'arm_compute::test::Accessor::operator=(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2abf258677dd2dbe5821945c961584bc',1,'arm_compute::test::Accessor::operator=(Accessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#ab8e135abcf1fafedfcf9ee0577af6fa1',1,'arm_compute::test::ArrayAccessor::operator=(const ArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a2cac2e7a5f7f729bd612f69fb0e21b19',1,'arm_compute::test::ArrayAccessor::operator=(ArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a984182b61b3fb4264efb5bcd81b80327',1,'arm_compute::test::HOGAccessor::operator=(const HOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a4f8ad4080e43b8c3ac84ac8027e0dc69',1,'arm_compute::test::HOGAccessor::operator=(HOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aab55c8a099bd3c9c705c22154375a1a2',1,'arm_compute::test::LutAccessor::operator=(const LutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a245b2a5255f1aa5d34a026cf7316d931',1,'arm_compute::test::LutAccessor::operator=(LutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5fbc8143d612bfca981fa8639649fd60',1,'arm_compute::test::RawLutAccessor::operator=(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac18e8430f571890da3a094188ddec4f8',1,'arm_compute::test::RawLutAccessor::operator=(RawLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac',1,'arm_compute::test::RawTensor::operator=()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed',1,'arm_compute::test::SimpleTensor::operator=()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#afed776bb9670af4abedc158164e2aab8',1,'arm_compute::utils::CommonGraphOptions::operator=(const CommonGraphOptions &amp;)=delete'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a9a8aa1d010c8c0f650c55aefa8ece74e',1,'arm_compute::utils::CommonGraphOptions::operator=(CommonGraphOptions &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#aeeb120f5eddd6460ae7681a8d018ce15',1,'arm_compute::graph_utils::NumPyAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a29067af1bc346b969ff667fa490e692c',1,'arm_compute::graph_utils::TopNPredictionsAccessor::operator=()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a14a8151e7c79a50f93572133e29f0386',1,'arm_compute::utils::MemoryImageFeeder::operator=(const MemoryImageFeeder &amp;)=delete'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#ae3e2ad983aa2f9f0b232cb9cdf140117',1,'arm_compute::utils::MemoryImageFeeder::operator=(MemoryImageFeeder &amp;&amp;)=default']]],
+  ['operator_3c_3c',['operator&lt;&lt;',['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a1fe3d49c1ffc3cfad62cf8672baf3818',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;&amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#aeaef465212cf21c32e47738f405d3b35',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ILayer &amp;layer)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a8aa83abfaa698052fbf74953829a607e',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, Target target_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a2066bf666e2a4f10fd6f0176bc04104d',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, ConvolutionMethod convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a9ef12c4a1a97abee8bcf61ac50bafb99',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, DepthwiseConvolutionMethod depthwise_convolution_method_hint)'],['../namespacearm__compute_1_1graph_1_1frontend.xhtml#a5424088ffc327a30d0d2e6b7e5d67930',1,'arm_compute::graph::frontend::operator&lt;&lt;(IStream &amp;s, FastMathHint fast_math_hint)'],['../namespacearm__compute_1_1graph.xhtml#a7e067080ce8169b2f8be64c190edab9e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const Target &amp;target)'],['../namespacearm__compute_1_1graph.xhtml#a108f26d15227710831dbdb30e40e608e',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const NodeType &amp;node_type)'],['../namespacearm__compute_1_1graph.xhtml#abcd88ed51472e534decef274fb32bcaa',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const EltwiseOperation &amp;eltwise_op)'],['../namespacearm__compute_1_1graph.xhtml#ab90b7a7fcc12792b0b6cb6486bb383dd',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1graph.xhtml#a6c721497fdfc121b38630f89b625ac39',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const FastMathHint &amp;hint)'],['../namespacearm__compute_1_1graph.xhtml#a36f71403d9328a10245a6d9d62518527',1,'arm_compute::graph::operator&lt;&lt;(::std::ostream &amp;os, const DepthwiseConvolutionMethod &amp;method)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a9a57b6c1d3a82001ad4f83676fbb9302',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, DatasetMode mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a380fb68611f394f4f7525c463a3588dc',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, LogLevel level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ab74cc570397d9855e79eb6cade93b3e6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, InstrumentsDescription instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#ac9ba7d0cf26575884c0c2cfe5fb529b6',1,'arm_compute::test::framework::operator&lt;&lt;(::std::stringstream &amp;stream, LogFormat format)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a5d331575f41ec3bf8e31afce9a89cd2a',1,'arm_compute::test::framework::operator&lt;&lt;(::std::ostream &amp;stream, TestCaseFactory::Status status)'],['../namespacearm__compute.xhtml#af3985189d478b45014e7dead9d002e2a',1,'arm_compute::operator&lt;&lt;()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab6d7586446a24baaa269c5f9a65ecd7f',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const AbsoluteTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5e05c35e20ad8ca67a4fbdd57e33ac8c',1,'arm_compute::test::validation::operator&lt;&lt;(::std::ostream &amp;os, const RelativeTolerance&lt; T &gt; &amp;tolerance)'],['../namespacearm__compute_1_1utils.xhtml#a24e5f40fb2db725a749dd5103ced9760',1,'arm_compute::utils::operator&lt;&lt;()'],['../namespacearm__compute.xhtml#a18d43401e8f84ed020429b41ec4e99f5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Dimensions&lt; T &gt; &amp;dimensions)'],['../namespacearm__compute.xhtml#ae8c2a3451bcf739a75aa7438e7a78d45',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NonLinearFilterFunction &amp;function)'],['../namespacearm__compute.xhtml#acec416ec5af175a7aad47a518fefb770',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MatrixPattern &amp;pattern)'],['../namespacearm__compute.xhtml#a295edc9f8caf95838db2c5e251153514',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const RoundingPolicy &amp;rounding_policy)'],['../namespacearm__compute.xhtml#a5972c7131d378f567af9c2961f088a0b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WeightsInfo &amp;weights_info)'],['../namespacearm__compute.xhtml#a352b805b77fde4f32f44af271580677b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ROIPoolingLayerInfo &amp;pool_info)'],['../namespacearm__compute.xhtml#af81bb4f87d418311c7ca43a28c74bf03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BoundingBoxTransformInfo &amp;bbox_info)'],['../namespacearm__compute.xhtml#a59ea8b6694897a281eb3105f5c99f28f',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComputeAnchorsInfo &amp;anchors_info)'],['../namespacearm__compute.xhtml#a1a54a883f8acc0664accdae9bed93494',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GenerateProposalsInfo &amp;proposals_info)'],['../namespacearm__compute.xhtml#a32a5556a927543fe57c0d7b82c20e9b4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const QuantizationInfo &amp;quantization_info)'],['../namespacearm__compute.xhtml#a9d79efe2673aeb3f9a9160b6a78de50c',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ActivationLayerInfo::ActivationFunction &amp;act_function)'],['../namespacearm__compute.xhtml#a2ab7370aab6e5698990c50c8871fa6fb',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormType &amp;norm_type)'],['../namespacearm__compute.xhtml#a6e422c610c91f611590173cd595c94c5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const NormalizationLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a336cf1e870f467e44c184587a13feeec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingType &amp;pool_type)'],['../namespacearm__compute.xhtml#ae72a61a2ca5c962ab1d37065e5598060',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PoolingLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#a1698cb24508a2bc45962bc887f18a8d0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayout &amp;data_layout)'],['../namespacearm__compute.xhtml#adec19acb64bfca26fa53ef76f03b79ef',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataLayoutDimension &amp;data_layout_dim)'],['../namespacearm__compute.xhtml#a685af15532d70b8682bcc52f06f034f9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a3b22e54b0ac0204c3b89aebcd695fa03',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Format &amp;format)'],['../namespacearm__compute.xhtml#aa66be15c012986ebd4c1934b97e08a36',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Channel &amp;channel)'],['../namespacearm__compute.xhtml#a7929032d41d5f23cd1778a70508d0219',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderMode &amp;mode)'],['../namespacearm__compute.xhtml#af32c4c5cdd0efde09774eb803bc8a0bd',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const BorderSize &amp;border)'],['../namespacearm__compute.xhtml#af15a06b73e1fde15f0809ce07bf1ab7d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PaddingList &amp;padding)'],['../namespacearm__compute.xhtml#a9caac285297030f50a972095e767aff9',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Multiples &amp;multiples)'],['../namespacearm__compute.xhtml#a509047aefc691398f1bb60b1f967a98b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const InterpolationPolicy &amp;policy)'],['../namespacearm__compute.xhtml#aab8eb6dc1ba89bb8a69f1c3845988a2b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const SamplingPolicy &amp;policy)'],['../namespacearm__compute.xhtml#ab398837465010958bfccff032ad1ee51',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const TensorInfo &amp;info)'],['../namespacearm__compute.xhtml#a0fc75dce8064a37effa5e71344b6a5d2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMReshapeInfo &amp;info)'],['../namespacearm__compute.xhtml#a5fdae5de2d2cf2e7957f0299d17ce5ec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GEMMInfo &amp;info)'],['../namespacearm__compute.xhtml#a6ed8dc0f587448d14a1a33cbd5fc4f70',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window::Dimension &amp;dim)'],['../namespacearm__compute.xhtml#afc6e49991e36423027a467eab1e405b2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Window &amp;win)'],['../namespacearm__compute.xhtml#a17881750c427aedd95deba46a4366ace',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Rectangle &amp;rect)'],['../namespacearm__compute.xhtml#a8af36ae3a3613112c3a95e57f606359a',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PadStrideInfo &amp;pad_stride_info)'],['../namespacearm__compute.xhtml#a4287c6842a60e5f6bf309e55f8813527',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvertPolicy &amp;policy)'],['../namespacearm__compute.xhtml#a7b94aeca99a5d6b1a5723014a01faac0',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ArithmeticOperation &amp;op)'],['../namespacearm__compute.xhtml#a292505a0ec686541cfe0dcfd1d651ec5',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ReductionOperation &amp;op)'],['../namespacearm__compute.xhtml#aac34f5e54ad35f26328f8706b3d28b43',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ComparisonOperation &amp;op)'],['../namespacearm__compute.xhtml#accfc6f2e5fb354e1fb19a7067b6efdec',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ElementWiseUnary &amp;op)'],['../namespacearm__compute.xhtml#a9a2e48a508dc85b7280f955876bb4462',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const KeyPoint &amp;point)'],['../namespacearm__compute.xhtml#abe52a76af2aa88876d54ce8a5969e509',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PhaseType &amp;phase_type)'],['../namespacearm__compute.xhtml#a530d86eec3dbd22cab6336ffdceb0d37',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const MagnitudeType &amp;magnitude_type)'],['../namespacearm__compute.xhtml#a5e7a61df2b926347b42ecadf8bcc8969',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGNormType &amp;norm_type)'],['../namespacearm__compute.xhtml#ab91d110e020f6ed987e05e82df3e350b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Size2D &amp;size)'],['../namespacearm__compute.xhtml#a4228b490e13b79a60737929d9d9e5957',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const HOGInfo &amp;hog_info)'],['../namespacearm__compute.xhtml#abd35c1c3fb716078b1f4a25981defac4',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const ConvolutionMethod &amp;conv_method)'],['../namespacearm__compute.xhtml#a1f4d95d65a62a085e929ab0a1a77add2',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const GPUTarget &amp;gpu_target)'],['../namespacearm__compute.xhtml#a907c93ba5daaabf6af7095f20340d024',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionWindow &amp;detection_window)'],['../namespacearm__compute.xhtml#a28634df052522fe60e15a0128ba924cc',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionOutputLayerCodeType &amp;detection_code)'],['../namespacearm__compute.xhtml#a22b40e983993e76ab39ce878fb111b9b',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const DetectionOutputLayerInfo &amp;detection_info)'],['../namespacearm__compute.xhtml#a8cfa7d498e60be008d557d025fe62ff3',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const Termination &amp;termination)'],['../namespacearm__compute.xhtml#a2329ad899483ca80bbffd03a63da9f5d',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const CPUModel &amp;cpu_model)'],['../namespacearm__compute.xhtml#a29cd1c3e1b33d61a479fa49465c5a7e7',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const std::vector&lt; T &gt; &amp;args)'],['../namespacearm__compute.xhtml#ae7393414bb7b814bf70e0399f2347847',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const PriorBoxLayerInfo &amp;info)'],['../namespacearm__compute.xhtml#af3cba8a4493cee4c431d128eed565ffe',1,'arm_compute::operator&lt;&lt;(::std::ostream &amp;os, const WinogradInfo &amp;info)']]],
+  ['operator_3d',['operator=',['../classarm__compute_1_1_access_window_auto_padding.xhtml#ad38db221ef94b6cd0e73f5dfd743414a',1,'arm_compute::AccessWindowAutoPadding::operator=(const AccessWindowAutoPadding &amp;)=delete'],['../classarm__compute_1_1_access_window_auto_padding.xhtml#a4bca6da5857d60a9565c60b483859208',1,'arm_compute::AccessWindowAutoPadding::operator=(AccessWindowAutoPadding &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_static.xhtml#a5c6934ef061e9aeaa31fa952c05e2730',1,'arm_compute::AccessWindowStatic::operator=(const AccessWindowStatic &amp;)=delete'],['../classarm__compute_1_1_access_window_static.xhtml#af5312479f43d5fd6c46e4e8473049847',1,'arm_compute::AccessWindowStatic::operator=(AccessWindowStatic &amp;&amp;)=default'],['../classarm__compute_1_1_program.xhtml#aa960ae62f188ce6593855ea9d90f3140',1,'arm_compute::Program::operator=(const Program &amp;)=default'],['../classarm__compute_1_1_program.xhtml#ac068143ead400561b25102c60ccd817d',1,'arm_compute::Program::operator=(Program &amp;&amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a9729d318da4230e664a923d7419ddf10',1,'arm_compute::Kernel::operator=(const Kernel &amp;)=default'],['../classarm__compute_1_1_kernel.xhtml#a22bb0cebcc049eac830795a517212f75',1,'arm_compute::Kernel::operator=(Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_kernel_library.xhtml#a54fb81956f9fb1c25b279e34e1e7d966',1,'arm_compute::CLKernelLibrary::operator=()'],['../classarm__compute_1_1_i_c_l_array.xhtml#aefdb6cfe839aa0835406d5adcd37de5b',1,'arm_compute::ICLArray::operator=(const ICLArray &amp;)=delete'],['../classarm__compute_1_1_i_c_l_array.xhtml#a23914bc8fc4d9bb6d4c58f8c0c399c58',1,'arm_compute::ICLArray::operator=(ICLArray &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml#a0182f7f14809fcf8e7d1b9c8afebeafd',1,'arm_compute::ICLDistribution1D::operator=()'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#a580c5fa0472ca0d70b463da27803a264',1,'arm_compute::ICLHOG::operator=(const ICLHOG &amp;)=delete'],['../classarm__compute_1_1_i_c_l_h_o_g.xhtml#acd0d52706236fd66484a6736d059c91c',1,'arm_compute::ICLHOG::operator=(ICLHOG &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_lut.xhtml#a8740c6498dafc80428e500a056135bf1',1,'arm_compute::ICLLut::operator=()'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf',1,'arm_compute::ICLSimpleKernel::operator=(const ICLSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_simple_kernel.xhtml#affc101ff7826063a907b73a062e80216',1,'arm_compute::ICLSimpleKernel::operator=(ICLSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#af72219f9b5e8803950eb8863a23c076e',1,'arm_compute::ICLTensor::operator=(const ICLTensor &amp;)=delete'],['../classarm__compute_1_1_i_c_l_tensor.xhtml#a6a7368baa4f8580ea732b2a352217b80',1,'arm_compute::ICLTensor::operator=(ICLTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a71db1bd13fefa2e7fda34b8fffa4a863',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(const CLAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#aef45d046af467d9d202a92b2824664a5',1,'arm_compute::CLAbsoluteDifferenceKernel::operator=(CLAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a504ac5c99ccc4bd0131d68c40502e48f',1,'arm_compute::CLActivationLayerKernel::operator=(const CLActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a990cf59e8f064a009fd46bfd2f0b6890',1,'arm_compute::CLActivationLayerKernel::operator=(CLActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#ac53e223f283d620ddde6084c93bf7e41',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(const CLBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a024a45436020d3890ede950c7811d472',1,'arm_compute::CLBatchNormalizationLayerKernel::operator=(CLBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a7be61da82ec2dd91d19568ded3245aae',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(const CLBatchToSpaceLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_batch_to_space_layer_kernel.xhtml#a1dea04f3a69c27a284a240301e3a0e4b',1,'arm_compute::CLBatchToSpaceLayerKernel::operator=(CLBatchToSpaceLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#aa172a2abdd7040105f2be39a50f6cff2',1,'arm_compute::CLBitwiseAndKernel::operator=(const CLBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#af31b1a5d8ec88a34da6d60ba2314dde1',1,'arm_compute::CLBitwiseAndKernel::operator=(CLBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#abcfb652670535dad6ec571b3b82495f4',1,'arm_compute::CLBitwiseOrKernel::operator=(const CLBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a471cff5db30df694b97fbba067271ac0',1,'arm_compute::CLBitwiseOrKernel::operator=(CLBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#ab169d4a7c722602e5952cc2a06bf38b1',1,'arm_compute::CLBitwiseXorKernel::operator=(const CLBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a2d8ca31390ad9b7a4fdef983e1ff5856',1,'arm_compute::CLBitwiseXorKernel::operator=(CLBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a8624fa8851bcb25ed99592ffc6c4ca72',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(const CLBoundingBoxTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_bounding_box_transform_kernel.xhtml#a37f2c72d789f262cd5d5da4d553d1d3b',1,'arm_compute::CLBoundingBoxTransformKernel::operator=(CLBoundingBoxTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gradient_kernel.xhtml#a86852428dd2f3c69bd0639568c2685f8',1,'arm_compute::CLGradientKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#aaa7e7959c4a5ab3705e79d81a7e94f1d',1,'arm_compute::CLEdgeNonMaxSuppressionKernel::operator=()'],['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#ae4e8839e52f8f14feef09d819170b40d',1,'arm_compute::CLEdgeTraceKernel::operator=()'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#acbed32f07c42524f3ba442584961662a',1,'arm_compute::CLChannelCombineKernel::operator=(const CLChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a0d6c1f9be7a8c0e35a438ef7b01227f8',1,'arm_compute::CLChannelCombineKernel::operator=(CLChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a9b79b58e02befadc03a8efa21453cc6d',1,'arm_compute::CLChannelExtractKernel::operator=(const CLChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a3903cf5b0f5ffd0687b19d45a39bfb72',1,'arm_compute::CLChannelExtractKernel::operator=(CLChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a91eed753a7a5519fae24b0a5c521de68',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(const CLChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a4b92456faa23eb343f8c28949c598871',1,'arm_compute::CLChannelShuffleLayerKernel::operator=(CLChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ac0fc2aadef37fa6f20657e42b209ca62',1,'arm_compute::CLCol2ImKernel::operator=(const CLCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#ad329e4f461dd51b4bc5d1cd012cfaa70',1,'arm_compute::CLCol2ImKernel::operator=(CLCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a9896faa16e3d99ed942eb845dfe41f2e',1,'arm_compute::CLColorConvertKernel::operator=(const CLColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml#ab3eb38ca98e94de0917a74b8d7d47061',1,'arm_compute::CLColorConvertKernel::operator=(CLColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a50ebeeea386211a648f73bde01fdd55c',1,'arm_compute::CLComparisonKernel::operator=(const CLComparisonKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_comparison_kernel.xhtml#a44e9e18934a2d89fe08eacdc402240ce',1,'arm_compute::CLComparisonKernel::operator=(CLComparisonKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a15e6fb3b62f2b84abb66d48c9157eabf',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(const CLConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a900366205ae372112b90c578e34a553d',1,'arm_compute::CLConvertFullyConnectedWeightsKernel::operator=(CLConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#afce1f7a8135ce82d5e12342bb05f8448',1,'arm_compute::CLConvolutionRectangleKernel::operator=(const CLConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#ac746b3604d6b86789f4c817e095f9147',1,'arm_compute::CLConvolutionRectangleKernel::operator=(CLConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#a00d2baeddfb23da246992686b4fec2d8',1,'arm_compute::CLCopyKernel::operator=(const CLCopyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_kernel.xhtml#af20173d205e0c28af1a40a28c3620646',1,'arm_compute::CLCopyKernel::operator=(CLCopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#aa537afa3c8d990b39f5faa108ae7d981',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(const CLDeconvolutionLayerUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a928c6fcbc7c772895ea482d094a95ff7',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel::operator=(CLDeconvolutionLayerUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a9a9999a79bdc4e5a8fdf8192b08aeb9b',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(const CLDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a19ef5eeb9a2d0503da3c57a73dcc17f2',1,'arm_compute::CLDepthConcatenateLayerKernel::operator=(CLDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a79194144da7865f7d117290f5aa69ed1',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::operator=(const CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml#a80b7aa89e697b783a7d9bd7a2ed9be40',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel::operator=(CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#ae4fd78624e256c6f29c28c10a6e64c72',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::operator=(const CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml#a365e484d7f675f11e76891b52c3dd2ad',1,'arm_compute::CLDepthwiseConvolutionLayerReshapeWeightsKernel::operator=(CLDepthwiseConvolutionLayerReshapeWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a0a10e55699b26afdf2fbf336dc9cad09',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(const CLDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#aa0b00eedd537493835dab315bd459441',1,'arm_compute::CLDepthwiseIm2ColKernel::operator=(CLDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a992e1f35a42f71981ee6e0846246a292',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(const CLDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a80467a8f9130ad9bcf8935c86c17b8b9',1,'arm_compute::CLDepthwiseVectorToTensorKernel::operator=(CLDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#aff837b05d92559e38076cb7a995f73fb',1,'arm_compute::CLDequantizationLayerKernel::operator=(const CLDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a262e0cb2fe628b335836c5386c467001',1,'arm_compute::CLDequantizationLayerKernel::operator=(CLDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a3ef5b9e1c310e83a57980bb4f897283a',1,'arm_compute::CLDerivativeKernel::operator=(const CLDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#aceb0191986422c3fcc97f2e9ed9fe15c',1,'arm_compute::CLDerivativeKernel::operator=(CLDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a9d67d33e783823b114897ea8c63a6470',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(const CLDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a46ab1c9fbed755d1da9729a47e6fbab2',1,'arm_compute::CLDirectConvolutionLayerKernel::operator=(CLDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a957a42f9679f5c4f84a88c16f263dd29',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(const CLDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#ad63ed50363b89a76c3502ad955abbce3',1,'arm_compute::CLDirectConvolutionLayerOutputStageKernel::operator=(CLDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#af055f3fd57c30370ea9553962a287923',1,'arm_compute::CLElementwiseOperationKernel::operator=(const CLElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_elementwise_operation_kernel.xhtml#a24a0d3c201954be5e8d230df665194e4',1,'arm_compute::CLElementwiseOperationKernel::operator=(CLElementwiseOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac5e031f7c81be9bbac3372bb6edbd344',1,'arm_compute::CLFastCornersKernel::operator=(const CLFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#ac64dcd555f8756462b629bf58a28bfc3',1,'arm_compute::CLFastCornersKernel::operator=(CLFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a8c3e5f7865d66adaa39c33a83211f261',1,'arm_compute::CLCopyToArrayKernel::operator=(const CLCopyToArrayKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a09ceae93051ead63b10d88903c5a62be',1,'arm_compute::CLCopyToArrayKernel::operator=(CLCopyToArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a569042df5e874046fe622b6723289a86',1,'arm_compute::CLFillBorderKernel::operator=(const CLFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a8c127ae32e8e5fa6bab31910663bcde1',1,'arm_compute::CLFillBorderKernel::operator=(CLFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a547fcc142c47e9284b13bb679d902120',1,'arm_compute::CLFlattenLayerKernel::operator=(const CLFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a4e5ebebe67c530d0b358f4d6ccc89206',1,'arm_compute::CLFlattenLayerKernel::operator=(CLFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#af3d454b9904ea4bfa1effa73f766f41e',1,'arm_compute::CLFloorKernel::operator=(const CLFloorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_floor_kernel.xhtml#ab55062eca1a3b9d5b1810bfb19843d42',1,'arm_compute::CLFloorKernel::operator=(CLFloorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a08f7ccb24ba2a9cc1ee843491fb6a875',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(const CLFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml#a4061297ca889d5ea28b487e092fac198',1,'arm_compute::CLFuseBatchNormalizationKernel::operator=(CLFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a74c4f575efc29b11e3069bb5f8ecb8c5',1,'arm_compute::CLGatherKernel::operator=(const CLGatherKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gather_kernel.xhtml#a93babbb8c4fde8b36d6b2627d36bd153',1,'arm_compute::CLGatherKernel::operator=(CLGatherKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#aab322f707d331394f70405702b43378a',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(const CLGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_hor_kernel.xhtml#ae05299dbd8e52799fc34298966f0375d',1,'arm_compute::CLGaussianPyramidHorKernel::operator=(CLGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#abd272921b9c15f9200c94898879f156a',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(const CLGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a587092ed39eaf708edbaa65e2e656ac3',1,'arm_compute::CLGaussianPyramidVertKernel::operator=(CLGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a56008f3777b30dc6b002815c904a9c34',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(const CLGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a156b6ea0879f0350c72168e647aa58a5',1,'arm_compute::CLGEMMInterleave4x4Kernel::operator=(CLGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af520778a23d6716080043321d07e9999',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(const CLGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#af7290399a051e470ba52daadd8d7f968',1,'arm_compute::CLGEMMLowpMatrixMultiplyKernel::operator=(CLGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#af59085fc55bc96e5d8d242f1d9d6c42c',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::operator=(const CLGEMMLowpMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml#a68c37df2276993293b1975628398853a',1,'arm_compute::CLGEMMLowpMatrixMultiplyReshapedKernel::operator=(CLGEMMLowpMatrixMultiplyReshapedKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a390552e0764d82400a910a18f3125299',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(const CLGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab2da8b158ac7059e84216ccdd38f2b20',1,'arm_compute::CLGEMMLowpOffsetContributionKernel::operator=(CLGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a717304a5652e324bc87586d3519518f5',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(const CLGEMMLowpOffsetContributionOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#a07c632f602ba0c91be2328f2886c834b',1,'arm_compute::CLGEMMLowpOffsetContributionOutputStageKernel::operator=(CLGEMMLowpOffsetContributionOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a7cf7a001868fee687f4a6c8c3e794c8a',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a75378ca49800584eed6b3b2a7c1e80bb',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a0ca9ff96e804cc85719fdc1d668bddd2',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml#a9076548cad19d01f077b13e9ed54e37b',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a7e7357c847e9af3e3a423337c214dc21',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#aebe9950fc2003dbfd02b8b35db24b241',1,'arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a6ca497447b2d21dc65ea3601acbff855',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(const ICLGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml#a0d0f77ea73cb516c01a3d82f112ac023',1,'arm_compute::ICLGEMMLowpReductionKernel::operator=(ICLGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a4d63931364ae453852888a37f13eac8b',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(const CLGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ada53e19e832615ed9f424882d6d10df8',1,'arm_compute::CLGEMMMatrixAccumulateBiasesKernel::operator=(CLGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a6a78d63356d86ecf8e1ecd5b293087b8',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(const CLGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a85e8d5b8770128980c3fe00b25f6c8a2',1,'arm_compute::CLGEMMMatrixAdditionKernel::operator=(CLGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aea377825b4153d8ea48905038cbb0ff1',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(const CLGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa158230a3f3ea998530f91a14bb8e5a2',1,'arm_compute::CLGEMMMatrixMultiplyKernel::operator=(CLGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5cbfc1be8e84436d97e5ba33b80987a3',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::operator=(const CLGEMMMatrixMultiplyReshapedKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a8348fe0cf027481b1eb16a091bf25388',1,'arm_compute::CLGEMMMatrixMultiplyReshapedKernel::operator=(CLGEMMMatrixMultiplyReshapedKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a8f6e00ff276bd98aaa4e791827a37832',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(const CLGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a1fa238f2d07ac54dec7dd391fe0f189d',1,'arm_compute::CLGEMMMatrixVectorMultiplyKernel::operator=(CLGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ac76735e0bb79aef97e96dd4c3d2f1909',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::operator=(const CLGEMMReshapeLHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml#ae6390852e3e6fb9761855cd12797cfb3',1,'arm_compute::CLGEMMReshapeLHSMatrixKernel::operator=(CLGEMMReshapeLHSMatrixKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#ae14d730aaac147174e1dba27b30a09f7',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::operator=(const CLGEMMReshapeRHSMatrixKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#a56135e2f03400627b69bb1d71ab2f18d',1,'arm_compute::CLGEMMReshapeRHSMatrixKernel::operator=(CLGEMMReshapeRHSMatrixKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#a8f0a6bef58a1764ea6c38bc5facd8afd',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(const CLComputeAllAnchorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_compute_all_anchors_kernel.xhtml#ac74a747c507f9fa4f5bb703af980b029',1,'arm_compute::CLComputeAllAnchorsKernel::operator=(CLComputeAllAnchorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a63257c15c82612674763a6d3333f1bd6',1,'arm_compute::CLHarrisScoreKernel::operator=(const CLHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml#a211406d60b24c4c7cc91cfb9062b71bd',1,'arm_compute::CLHarrisScoreKernel::operator=(CLHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#aa829a82c818f626213fd9bc071609261',1,'arm_compute::CLHistogramKernel::operator=(const CLHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_kernel.xhtml#ac3d5f20bb919a975158ebaec91678b4f',1,'arm_compute::CLHistogramKernel::operator=(CLHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a2ca23ba242845400753a7a7e16dfd679',1,'arm_compute::CLHistogramBorderKernel::operator=(const CLHistogramBorderKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml#a33342ad689f7359f1f1ac0576f0f4dda',1,'arm_compute::CLHistogramBorderKernel::operator=(CLHistogramBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#ab44e37937fd28a195ac52610b928b30e',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(const CLHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml#a130adf577eac62f41012daf42b23fc43',1,'arm_compute::CLHOGOrientationBinningKernel::operator=(CLHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#a2ca01c73542762846c37676789d69b5a',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(const CLHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_block_normalization_kernel.xhtml#ae9efd0c575b2ccb193e1ad57026bb08b',1,'arm_compute::CLHOGBlockNormalizationKernel::operator=(CLHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#a60f2e39807c636c8a787ae84ffadab38',1,'arm_compute::CLHOGDetectorKernel::operator=(const CLHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector_kernel.xhtml#ab6b59ab8048946cf548b468b74cb7724',1,'arm_compute::CLHOGDetectorKernel::operator=(CLHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ac09104c975cb1ca9ad434c325be80e56',1,'arm_compute::CLIm2ColKernel::operator=(const CLIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#ad4b22573444ce7770618109732fe89fa',1,'arm_compute::CLIm2ColKernel::operator=(CLIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#af23b6173ce52f9c45601cea986114927',1,'arm_compute::CLIntegralImageVertKernel::operator=(const CLIntegralImageVertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#ab4f161672ed88d4b2322e14d6923b4d6',1,'arm_compute::CLIntegralImageVertKernel::operator=(CLIntegralImageVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a652669238486d0d24c8bb110128dd09f',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(const CLL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#ae5f2725a76406a68298da1e0618a8660',1,'arm_compute::CLL2NormalizeLayerKernel::operator=(CLL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ac1a27a3a3f960b210716d8103c0b8d91',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(const CLLKTrackerStage0Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage0_kernel.xhtml#ab99cff1eafa85b4d0d32c5f0a9559111',1,'arm_compute::CLLKTrackerStage0Kernel::operator=(CLLKTrackerStage0Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a0226443ff006bea34e6bbcb1fbff2422',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(const CLLKTrackerStage1Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a4f1ff65bdc81c14c9e9138d2d63aaece',1,'arm_compute::CLLKTrackerStage1Kernel::operator=(CLLKTrackerStage1Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a0cc875c804d3f82bd6eba503ede72a86',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(const CLLocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a901e93e5cfab9384f4cb0cdbe1349284',1,'arm_compute::CLLocallyConnectedMatrixMultiplyKernel::operator=(CLLocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a11f21edc185eb160e844aa0c4ca9c29a',1,'arm_compute::CLMagnitudePhaseKernel::operator=(const CLMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#adb678b97316f473c8134729d88d22513',1,'arm_compute::CLMagnitudePhaseKernel::operator=(CLMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ae9fa6f33d1193d47d77210d69ef74c7d',1,'arm_compute::CLMeanStdDevKernel::operator=(const CLMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev_kernel.xhtml#ab656ceff38e0df4b5a5806e4f5eb67b3',1,'arm_compute::CLMeanStdDevKernel::operator=(CLMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a38771bb79f047fd0cd047b0a0cd5b245',1,'arm_compute::CLMemsetKernel::operator=(const CLMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_memset_kernel.xhtml#a4c4ca836fbfad3983d37efde00063ee4',1,'arm_compute::CLMemsetKernel::operator=(CLMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#a2111986a65074c1c464fe004b34d303c',1,'arm_compute::CLMinMaxLayerKernel::operator=(const CLMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#adc91b3c9c817c311cb61cc7b2b3259c2',1,'arm_compute::CLMinMaxLayerKernel::operator=(CLMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#a9e34fe76534c1b75dfcb2f92acb16ec6',1,'arm_compute::CLMinMaxKernel::operator=(const CLMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_kernel.xhtml#afbbcf7cebd0e8f3d28e4ffe74e6dfc16',1,'arm_compute::CLMinMaxKernel::operator=(CLMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#af478eeb354cb68fe0933f9f8b7e467e9',1,'arm_compute::CLMinMaxLocationKernel::operator=(const CLMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location_kernel.xhtml#abdf07fb560e5e5fc1a40f31826eef74f',1,'arm_compute::CLMinMaxLocationKernel::operator=(CLMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#afde39cdaeb3b4e6d1569ef49f70ccd5f',1,'arm_compute::CLNormalizationLayerKernel::operator=(const CLNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalization_layer_kernel.xhtml#ac8bd4f3203d36457dc9968941e068e75',1,'arm_compute::CLNormalizationLayerKernel::operator=(CLNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#ab690b48ceccc9c820cf866287beb5b29',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(const CLNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_normalize_planar_y_u_v_layer_kernel.xhtml#a2048b80d6029b907235324d9ad2c6426',1,'arm_compute::CLNormalizePlanarYUVLayerKernel::operator=(CLNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#a8137811e0b9ccdf37b28d9498b336d89',1,'arm_compute::CLPermuteKernel::operator=(const CLPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_permute_kernel.xhtml#ae18c4f52bb3f51d3bc82406baa7538fb',1,'arm_compute::CLPermuteKernel::operator=(CLPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a68ae410a0d979d2c897d840c6749e50c',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(const CLPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pixel_wise_multiplication_kernel.xhtml#a18767cd831fa27f6c0d28e847509b4cf',1,'arm_compute::CLPixelWiseMultiplicationKernel::operator=(CLPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1c744387eb6e27f11fed9e0383ff55b2',1,'arm_compute::CLPoolingLayerKernel::operator=(const CLPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#adf693cc1bc9aaacdfaa73e1309f4c0b3',1,'arm_compute::CLPoolingLayerKernel::operator=(CLPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#a5f547852d370af5671f98d9c82d11236',1,'arm_compute::CLPriorBoxLayerKernel::operator=(const CLPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_prior_box_layer_kernel.xhtml#ae8c21a2324c7a6547560d9da43339ef3',1,'arm_compute::CLPriorBoxLayerKernel::operator=(CLPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#a8f28dbe7a21f5ae5c54776d1953f3d39',1,'arm_compute::CLQuantizationLayerKernel::operator=(const CLQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_quantization_layer_kernel.xhtml#ad4c3fe05fa833af7ab12dbd4b55a9930',1,'arm_compute::CLQuantizationLayerKernel::operator=(CLQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a1f1b7ad0df178d4e0656ad22db60a691',1,'arm_compute::CLRangeKernel::operator=(const CLRangeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_range_kernel.xhtml#a68f914334337780b397ae7e25dbb7097',1,'arm_compute::CLRangeKernel::operator=(CLRangeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#a95cef45f3f6052814aeb093568822559',1,'arm_compute::CLReductionOperationKernel::operator=(const CLReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reduction_operation_kernel.xhtml#ad350df13bf68e7094f25f4f412d08707',1,'arm_compute::CLReductionOperationKernel::operator=(CLReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a1657579b2ba3f0821766eb468f0e372e',1,'arm_compute::CLRemapKernel::operator=(const CLRemapKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_remap_kernel.xhtml#a5d629728142cf99ccea7c59faf2be6e2',1,'arm_compute::CLRemapKernel::operator=(CLRemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a6fefdf5ae18cbcc448ca91fd09e9fc49',1,'arm_compute::CLReorgLayerKernel::operator=(const CLReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reorg_layer_kernel.xhtml#a7a904807891e2b844f4d5b4dbe8f4d3e',1,'arm_compute::CLReorgLayerKernel::operator=(CLReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a20996021bba3428035ada51f7cdca359',1,'arm_compute::CLReshapeLayerKernel::operator=(const CLReshapeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reshape_layer_kernel.xhtml#a7accccef6f0a0cbebdb9c207253172c3',1,'arm_compute::CLReshapeLayerKernel::operator=(CLReshapeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a88da499dcf01471132f67e16be4128b9',1,'arm_compute::CLReverseKernel::operator=(const CLReverseKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a561bd11761b48a5705981c37e13dfedc',1,'arm_compute::CLReverseKernel::operator=(CLReverseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a1c8025fb6e9da7cb8ca56da6456dfa4f',1,'arm_compute::CLROIAlignLayerKernel::operator=(const CLROIAlignLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_align_layer_kernel.xhtml#a3e59aaa873469ec951cd955115e84847',1,'arm_compute::CLROIAlignLayerKernel::operator=(CLROIAlignLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#adb81e0c5b82b5e7c586233bd3799aa8e',1,'arm_compute::CLROIPoolingLayerKernel::operator=(const CLROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml#a2a999ff20f3b296c116c040022a205cd',1,'arm_compute::CLROIPoolingLayerKernel::operator=(CLROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#af2d37653c2c381ce8c52df533490f2c5',1,'arm_compute::CLScharr3x3Kernel::operator=(const CLScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_scharr3x3_kernel.xhtml#a2f87eef8bcf07faa1c31afe31c26e2cd',1,'arm_compute::CLScharr3x3Kernel::operator=(CLScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#ab55ba307bca19fe4a4ce472f75f49cbd',1,'arm_compute::CLSelectKernel::operator=(const CLSelectKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_select_kernel.xhtml#aec9448a9683d66256b1c4b0f469f2dfe',1,'arm_compute::CLSelectKernel::operator=(CLSelectKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#ab30b6bb92fb3a1cb0cda6dc08e9fa160',1,'arm_compute::CLSobel3x3Kernel::operator=(const CLSobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel3x3_kernel.xhtml#a74e510ea252d0a53cbe946c4d5914b3e',1,'arm_compute::CLSobel3x3Kernel::operator=(CLSobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#a0d2de1f5a7010147dc1d6c11eaaeda37',1,'arm_compute::CLSobel5x5HorKernel::operator=(const CLSobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_hor_kernel.xhtml#ade7e08981757581d709d549c627a67bf',1,'arm_compute::CLSobel5x5HorKernel::operator=(CLSobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#abc8c95a4a6d95911a79340b6015fa70c',1,'arm_compute::CLSobel5x5VertKernel::operator=(const CLSobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel5x5_vert_kernel.xhtml#a708f74ad4e821b4a14cadbbc370d9124',1,'arm_compute::CLSobel5x5VertKernel::operator=(CLSobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ae61ba8aa03f08b69195f20c2c1c4d4ef',1,'arm_compute::CLSobel7x7HorKernel::operator=(const CLSobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml#ace492ec10b45b7c035ed6b3dac8304c1',1,'arm_compute::CLSobel7x7HorKernel::operator=(CLSobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#afa6becd7a5a59d6853e0f447ba231ac4',1,'arm_compute::CLSobel7x7VertKernel::operator=(const CLSobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml#a9eff4ccf54e197ca085e6a1863833cd9',1,'arm_compute::CLSobel7x7VertKernel::operator=(CLSobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a6768c8d3a565c30cd874d894b218317c',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(const CLLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#aa21cdfff7db54a9881b8220949436309',1,'arm_compute::CLLogits1DShiftExpSumKernel::operator=(CLLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#afd28bfde2ba6f90c161eb1f2678cb6f9',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(const CLLogits1DMaxShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#ac7ea34435f64f3e3dce08ab0ce67295e',1,'arm_compute::CLLogits1DMaxShiftExpSumKernel::operator=(CLLogits1DMaxShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a6ca0b2c3d501bc8062121facf4443980',1,'arm_compute::CLLogits1DNormKernel::operator=(const CLLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a31f1716a5e72003da8fcdbc0a2dec73a',1,'arm_compute::CLLogits1DNormKernel::operator=(CLLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#af040c2d971d4d1f783e5ebf8303122e3',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(const CLSpaceToBatchLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml#ab560f4c6e6136bb2b1cb7cba49c757de',1,'arm_compute::CLSpaceToBatchLayerKernel::operator=(CLSpaceToBatchLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a86937b7a4f48ee8635490a18e9f05a21',1,'arm_compute::CLStackLayerKernel::operator=(const CLStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_stack_layer_kernel.xhtml#a2efb604498b8a825a240ec2c2d941f80',1,'arm_compute::CLStackLayerKernel::operator=(CLStackLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a519a6c648a112bd2b51216d8d1907b18',1,'arm_compute::CLStridedSliceKernel::operator=(const CLStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_strided_slice_kernel.xhtml#a14f2152dafa1ed64e1c87eb9f61e86c5',1,'arm_compute::CLStridedSliceKernel::operator=(CLStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#ac30ac9c9939bc24d7bea2bb5ac7bfe17',1,'arm_compute::CLTileKernel::operator=(const CLTileKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_tile_kernel.xhtml#afce28c97205f11dfa69274009654de8d',1,'arm_compute::CLTileKernel::operator=(CLTileKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a4581d7592c6375980e6a04fe68e10a25',1,'arm_compute::CLUpsampleLayerKernel::operator=(const CLUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer_kernel.xhtml#a17d050562782477d758e907c70fa09d0',1,'arm_compute::CLUpsampleLayerKernel::operator=(CLUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#ad012198a049187b766ca44b356821918',1,'arm_compute::CLWeightsReshapeKernel::operator=(const CLWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#afd2802b8c9343ee51ac62d3e6bab3963',1,'arm_compute::CLWeightsReshapeKernel::operator=(CLWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a3b3917731ac9aba105792209b0e23677',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(const CLWidthConcatenate2TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate2_tensors_kernel.xhtml#a9474659ca4a4bf972731b0465dd28afd',1,'arm_compute::CLWidthConcatenate2TensorsKernel::operator=(CLWidthConcatenate2TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#aa6b612ddbb80c07e294cd38a3f6534d2',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(const CLWidthConcatenate4TensorsKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate4_tensors_kernel.xhtml#a26b9ccaf52c73ed92fc20f8456315592',1,'arm_compute::CLWidthConcatenate4TensorsKernel::operator=(CLWidthConcatenate4TensorsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a1fb3614a59bd2812e4e44947306051a2',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(const CLWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_width_concatenate_layer_kernel.xhtml#a2da2588ff735dc5b86d33baa97234296',1,'arm_compute::CLWidthConcatenateLayerKernel::operator=(CLWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#af12f1ad3a511ea77d45654597e7a6b0b',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(const CLWinogradFilterTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#adf555d4955247783d3e3e8506234ef11',1,'arm_compute::CLWinogradFilterTransformKernel::operator=(CLWinogradFilterTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#a7ba7ccf488268bb2ba45a37165253e41',1,'arm_compute::CLWinogradInputTransformKernel::operator=(const CLWinogradInputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_input_transform_kernel.xhtml#af0e852f9a86d26e1f51e61e5d9b3ef47',1,'arm_compute::CLWinogradInputTransformKernel::operator=(CLWinogradInputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#ac81bc0447feaef35a4b1283d74f50b0d',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(const CLWinogradOutputTransformKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a2583a38f8ba480034d2e508a000249b9',1,'arm_compute::CLWinogradOutputTransformKernel::operator=(CLWinogradOutputTransformKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a2e9b7d514627ea7b6bb9322dafe11c88',1,'arm_compute::CLYOLOLayerKernel::operator=(const CLYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_c_l_y_o_l_o_layer_kernel.xhtml#a3bebc7ced7278e51b1feaf0d4bb71306',1,'arm_compute::CLYOLOLayerKernel::operator=(CLYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#ac05f0cf4a83538e71417dc03ec328632',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a27cffe0da493a7c23c129be3f9daa03b',1,'arm_compute::ICLDepthwiseConvolutionLayer3x3Kernel::operator=(ICLDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a5b213c889050bc3844bdf110f34f602d',1,'arm_compute::Coordinates::operator=(const Coordinates &amp;)=default'],['../classarm__compute_1_1_coordinates.xhtml#a9083bc0216aad5dc437d5e42d80b1061',1,'arm_compute::Coordinates::operator=(Coordinates &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_u_info.xhtml#a5c8dff64ce1ad7bdae70879024bde002',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;cpuinfo)=delete'],['../classarm__compute_1_1_c_p_u_info.xhtml#a4cacb98f89ed3d565b7b7e4dc39e7295',1,'arm_compute::CPUInfo::operator=(const CPUInfo &amp;&amp;cpuinfo)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000',1,'arm_compute::ICPPSimpleKernel::operator=(const ICPPSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#ac0f362034a917ae5fdb8506ab0f1e036',1,'arm_compute::ICPPSimpleKernel::operator=(ICPPSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#ad5e0e714da35f6f95b10c19b9a59e700',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_box_with_non_maxima_suppression_limit_kernel.xhtml#a757b938386040ccf9f1219dc85a2e78e',1,'arm_compute::CPPBoxWithNonMaximaSuppressionLimitKernel::operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a8a61183b7dece994182972d9fede3207',1,'arm_compute::CPPCornerCandidatesKernel::operator=(const CPPCornerCandidatesKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a33895b1114dec6ea25e4f5e8e2468c85',1,'arm_compute::CPPCornerCandidatesKernel::operator=(CPPCornerCandidatesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#aa5182561cc171d1c74872e91fdb2d7fb',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(const CPPDetectionWindowNonMaximaSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#abc2f7094d5e8e45b4775d302fb43dae2',1,'arm_compute::CPPDetectionWindowNonMaximaSuppressionKernel::operator=(CPPDetectionWindowNonMaximaSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a4794e75ab5c5cea7d94a176b7c7ad363',1,'arm_compute::CPPFlipWeightsKernel::operator=(const CPPFlipWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_flip_weights_kernel.xhtml#a58d226da7dee0509f9f9977bf83f1f0b',1,'arm_compute::CPPFlipWeightsKernel::operator=(CPPFlipWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a2c787fefc7ee52b787ffd59a50960e2c',1,'arm_compute::CPPPermuteKernel::operator=(const CPPPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a590793a033bdef7868ed0454d91131ee',1,'arm_compute::CPPPermuteKernel::operator=(CPPPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#aef5933e70f775b33c06ddc6c3d0cf8b6',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(const CPPSortEuclideanDistanceKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a354351e1f7d4fd2e368e9bd500f26333',1,'arm_compute::CPPSortEuclideanDistanceKernel::operator=(CPPSortEuclideanDistanceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a085ef1260c1146794c40e83b13a09199',1,'arm_compute::CPPTopKVKernel::operator=(const CPPTopKVKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_top_k_v_kernel.xhtml#a886642a4cd5a90d8f83fca0f98677471',1,'arm_compute::CPPTopKVKernel::operator=(CPPTopKVKernel &amp;&amp;)=default'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a52da9c61c30da42133ca5db7580f2afa',1,'arm_compute::CPPUpsampleKernel::operator=(const CPPUpsampleKernel &amp;)=delete'],['../classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a9ef61e2406041809b7b47b894e95c281',1,'arm_compute::CPPUpsampleKernel::operator=(CPPUpsampleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a2c96e96e2d005b4a8b66c2acd1688903',1,'arm_compute::Dimensions::operator=(const Dimensions &amp;)=default'],['../classarm__compute_1_1_dimensions.xhtml#a80565e11a35c48747bcc2cba06931e20',1,'arm_compute::Dimensions::operator=(Dimensions &amp;&amp;)=default'],['../classarm__compute_1_1_status.xhtml#a78472b791f38ec7cdd75ee9de6e1e349',1,'arm_compute::Status::operator=(const Status &amp;)=default'],['../classarm__compute_1_1_status.xhtml#a0e94f86f3b38636473259a2156673d0d',1,'arm_compute::Status::operator=(Status &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a4212dc2dbdd340faeba056d37cb912de',1,'arm_compute::GCProgram::operator=(const GCProgram &amp;)=default'],['../classarm__compute_1_1_g_c_program.xhtml#a7792915d53fb314715e22f350a174072',1,'arm_compute::GCProgram::operator=(GCProgram &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#af29ae815590ed07fc2ce2dc3f77a23a7',1,'arm_compute::GCKernel::operator=(const GCKernel &amp;)=default'],['../classarm__compute_1_1_g_c_kernel.xhtml#ab3eebd489d16da5b5f3378781df02052',1,'arm_compute::GCKernel::operator=(GCKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_kernel_library.xhtml#a10dbce17f04221f2d1fcd3c0a91b4d69',1,'arm_compute::GCKernelLibrary::operator=()'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a10d2c80e7afcb7ae1ad42ff9a649a915',1,'arm_compute::IGCSimpleKernel::operator=(const IGCSimpleKernel &amp;)=delete'],['../classarm__compute_1_1_i_g_c_simple_kernel.xhtml#a90f6f44d1fbbe0d2261d81f4e9f1ff7e',1,'arm_compute::IGCSimpleKernel::operator=(IGCSimpleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#a53ba7801ed7dbf945a0413addd6dc990',1,'arm_compute::IGCTensor::operator=(const IGCTensor &amp;)=delete'],['../classarm__compute_1_1_i_g_c_tensor.xhtml#aa49cf1d6ea350774509911cad4903ad6',1,'arm_compute::IGCTensor::operator=(IGCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a341fc3300b747bccccae264218383ce8',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(const GCAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#aec3a5cc14dd9d7093349b16a21b72948',1,'arm_compute::GCAbsoluteDifferenceKernel::operator=(GCAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#af9659679b5b61ba3238c0b8ab685d469',1,'arm_compute::GCActivationLayerKernel::operator=(const GCActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a021bcf856f494b4d1569842b82962015',1,'arm_compute::GCActivationLayerKernel::operator=(GCActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a9193b176607dbe93c0f60c975d8c2b84',1,'arm_compute::GCArithmeticAdditionKernel::operator=(const GCArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a2c4a1b2129be6a61aac9c389441e70f0',1,'arm_compute::GCArithmeticAdditionKernel::operator=(GCArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a83290f6748e18cbaa52313b345fcacd5',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(const GCBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#aa89e50b4172bb1f0ab4712896f34e885',1,'arm_compute::GCBatchNormalizationLayerKernel::operator=(GCBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a5c234c52d6c2f50c3a0f83a79071d7da',1,'arm_compute::GCCol2ImKernel::operator=(const GCCol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3d2fb6048605f513582e658151fa640e',1,'arm_compute::GCCol2ImKernel::operator=(GCCol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#ab9afd62b3b6a2b37c662e93d276c6f76',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(const GCDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#abebfa51ee1624b9c33e0b3b6fc4fc202',1,'arm_compute::GCDepthConcatenateLayerKernel::operator=(GCDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a169af81ccfe8f51bf4376f72e74fa23a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(const GCDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#af522b540d8a70a98963dffa84ec2df5a',1,'arm_compute::GCDepthwiseConvolutionLayer3x3Kernel::operator=(GCDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#accde1890da46aed35c37db0e03b2a011',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(const GCDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a3129db689f08b45abec9f42b27d4ceb6',1,'arm_compute::GCDirectConvolutionLayerKernel::operator=(GCDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#ab459f437a1e4c3b0ee7d849879d57012',1,'arm_compute::GCDropoutLayerKernel::operator=(const GCDropoutLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#aacdb813a758a3fc5f2464d679356b085',1,'arm_compute::GCDropoutLayerKernel::operator=(GCDropoutLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8c1e52332794c1706023bf8efc93bc5f',1,'arm_compute::GCFillBorderKernel::operator=(const GCFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_fill_border_kernel.xhtml#acef762b66d27f0589c993da6ec06ff2e',1,'arm_compute::GCFillBorderKernel::operator=(GCFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a7e17e417d15e88ba90a874bdf0b105c9',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(const GCGEMMInterleave4x4Kernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#ae40506b47d5a95a953427852f39571ac',1,'arm_compute::GCGEMMInterleave4x4Kernel::operator=(GCGEMMInterleave4x4Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a9513ed3df777b10a19441a5d59f82eed',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(const GCGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8cbd9cba305baa997084f8a359492e7b',1,'arm_compute::GCGEMMMatrixAccumulateBiasesKernel::operator=(GCGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a84753584506a324bcd5c40cdfd6fe521',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(const GCGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a0ef270dfa14ee22080a71a44481846f6',1,'arm_compute::GCGEMMMatrixAdditionKernel::operator=(GCGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a0b0ecc60be6600a55aa46dffaa803ed9',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(const GCGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a6cda598544253c29aec8f10ea78a8aed',1,'arm_compute::GCGEMMMatrixMultiplyKernel::operator=(GCGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a430228b1b1392252b298974038b69abd',1,'arm_compute::GCIm2ColKernel::operator=(const GCIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_im2_col_kernel.xhtml#ab34fe16c3f4d185089ed17c0ca3d6409',1,'arm_compute::GCIm2ColKernel::operator=(GCIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a654e750446716bbc3cfdda541a95a5e2',1,'arm_compute::GCNormalizationLayerKernel::operator=(const GCNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a94528df83e5f7552728ff1e66deaaa88',1,'arm_compute::GCNormalizationLayerKernel::operator=(GCNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ae6c636adc42a8a07519df0e5e3896d03',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(const GCNormalizePlanarYUVLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#ab1305e3818a2cd8b900a09acde54b4d0',1,'arm_compute::GCNormalizePlanarYUVLayerKernel::operator=(GCNormalizePlanarYUVLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#ab6756c0089b63f226e1a1ee5a072b07c',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(const GCPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a61ec20b184dc58b8e5ede8723b1c0790',1,'arm_compute::GCPixelWiseMultiplicationKernel::operator=(GCPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a17195b1300a741bd454e3ff93781a0be',1,'arm_compute::GCPoolingLayerKernel::operator=(const GCPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a4526a56a55cab0233391eca62d7735b2',1,'arm_compute::GCPoolingLayerKernel::operator=(GCPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a54c5d88e282d0d6a6220319bb109e83a',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(const GCLogits1DShiftExpSumKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#af0b18929f9f4da6843e93ced4d7e4025',1,'arm_compute::GCLogits1DShiftExpSumKernel::operator=(GCLogits1DShiftExpSumKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a9c8fd9d3157b389f42b6e44bad2d6ff9',1,'arm_compute::GCLogits1DNormKernel::operator=(const GCLogits1DNormKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#abaf58c95d3e455c38ef3cbd91ef394d1',1,'arm_compute::GCLogits1DNormKernel::operator=(GCLogits1DNormKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a1c1b2c1a3c18aac3c783714eb4f4bf2b',1,'arm_compute::GCTensorShiftKernel::operator=(const GCTensorShiftKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#abd8d9f6a333bdf37f9e18c2ddaad68e0',1,'arm_compute::GCTensorShiftKernel::operator=(GCTensorShiftKernel &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#acb4ba5202d64ea2750e8322ec662b1c6',1,'arm_compute::GCWeightsReshapeKernel::operator=(const GCWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a99c47a7a9d764cf2d58241df2a24bbea',1,'arm_compute::GCWeightsReshapeKernel::operator=(GCWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a64f60c469394d4f5f621546fc3108590',1,'arm_compute::HOGInfo::operator=(const HOGInfo &amp;)=default'],['../classarm__compute_1_1_h_o_g_info.xhtml#a3f48ffe9fe37db10eb23de67101c1500',1,'arm_compute::HOGInfo::operator=(HOGInfo &amp;&amp;)=default'],['../classarm__compute_1_1_access_window_rectangle.xhtml#abdf21e65ee4cc7cf79a43e3de64dcc7e',1,'arm_compute::AccessWindowRectangle::operator=(const AccessWindowRectangle &amp;)=delete'],['../classarm__compute_1_1_access_window_rectangle.xhtml#a21ab33d8ab185c1321f4c213335e6802',1,'arm_compute::AccessWindowRectangle::operator=(AccessWindowRectangle &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a5d6e77370a140f10010d3cb9e2a11857',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(const NEAbsoluteDifferenceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#aa288278807596db819a0bb3336f6b87c',1,'arm_compute::NEAbsoluteDifferenceKernel::operator=(NEAbsoluteDifferenceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a87da26ad3d611150ba40ff38f4085cb5',1,'arm_compute::NEActivationLayerKernel::operator=(const NEActivationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a0a42b3e7cc978aad3281a4a38e277907',1,'arm_compute::NEActivationLayerKernel::operator=(NEActivationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a1a359a25f8e2d5b781df6fe2ccfc09a2',1,'arm_compute::NEArithmeticAdditionKernel::operator=(const NEArithmeticAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a9095b3a8068080cd67214ffac9cbb7f8',1,'arm_compute::NEArithmeticAdditionKernel::operator=(NEArithmeticAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#abaf3795e8b23cb20a57d6fbc2250b4f2',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(const NEArithmeticSubtractionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#aa67dba4afaf72f6df5662cb6d7df76d3',1,'arm_compute::NEArithmeticSubtractionKernel::operator=(NEArithmeticSubtractionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a894acf4da15b0487db66df7d393df5e6',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(const NEBatchNormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ae8298898728d539d56119daa4424e10a',1,'arm_compute::NEBatchNormalizationLayerKernel::operator=(NEBatchNormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#afb66e99bd8740b60d7bfd59a95af23d4',1,'arm_compute::NEBitwiseAndKernel::operator=(const NEBitwiseAndKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5a50f6206108bf3abf3b3addfa7ae73',1,'arm_compute::NEBitwiseAndKernel::operator=(NEBitwiseAndKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a28f175e22ab8ad069112ccdaef01f50d',1,'arm_compute::NEBitwiseNotKernel::operator=(const NEBitwiseNotKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a237559c92d41048f88e3eb997e05294f',1,'arm_compute::NEBitwiseNotKernel::operator=(NEBitwiseNotKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a5d760acdcf6781fb383167594dc296eb',1,'arm_compute::NEBitwiseOrKernel::operator=(const NEBitwiseOrKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a6a7df384121b0a711cbd580a480906a6',1,'arm_compute::NEBitwiseOrKernel::operator=(NEBitwiseOrKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a7fd5d2db21a7b6f3d04b99eff7a65652',1,'arm_compute::NEBitwiseXorKernel::operator=(const NEBitwiseXorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa74a2c630bfd78719c0f1f05ffc337f4',1,'arm_compute::NEBitwiseXorKernel::operator=(NEBitwiseXorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#ac9fb1a343e29082ecd7ffaa0216dcd35',1,'arm_compute::NEGradientKernel::operator=(const NEGradientKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gradient_kernel.xhtml#a77d401f1799eff9f50baca598c912801',1,'arm_compute::NEGradientKernel::operator=(NEGradientKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a5f1f723a41130cb9ff98478cd958ac28',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(const NEEdgeNonMaxSuppressionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a6fcd697a53de530052da4ffd113d1dd9',1,'arm_compute::NEEdgeNonMaxSuppressionKernel::operator=(NEEdgeNonMaxSuppressionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a4c827d25ce4451de792fa939a61402b5',1,'arm_compute::NEEdgeTraceKernel::operator=(const NEEdgeTraceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a2ef3350848cbf1f21b6eaba6dca4ec1b',1,'arm_compute::NEEdgeTraceKernel::operator=(NEEdgeTraceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#af7fa6b6b40f275e2f6f0afdf42aa6130',1,'arm_compute::NEChannelCombineKernel::operator=(const NEChannelCombineKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a4dfea5b19ebe5e46148a63af9fdbc5db',1,'arm_compute::NEChannelCombineKernel::operator=(NEChannelCombineKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#aa8e7c7a49ee3042eba01b2b7c0284f8c',1,'arm_compute::NEChannelExtractKernel::operator=(const NEChannelExtractKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#acf451199b29e2a9a737419455bd55757',1,'arm_compute::NEChannelExtractKernel::operator=(NEChannelExtractKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#aba3df1c48025933b76fcdf8006e40be0',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(const NEChannelShuffleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_channel_shuffle_layer_kernel.xhtml#a142e9c7abcda0297be54e29344121c71',1,'arm_compute::NEChannelShuffleLayerKernel::operator=(NEChannelShuffleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#aaf4d8c425a336a01399b68cd46ef3467',1,'arm_compute::NECol2ImKernel::operator=(const NECol2ImKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a792c2be01569939e6d09097bf3e72994',1,'arm_compute::NECol2ImKernel::operator=(NECol2ImKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#abcba384fd1d11e611380b5751fd1b112',1,'arm_compute::NEColorConvertKernel::operator=(const NEColorConvertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ad45cf44ba984cab65018746c5dd0220c',1,'arm_compute::NEColorConvertKernel::operator=(NEColorConvertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a5d2dd5cf486c0e0093d70cf71bb1c6f5',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(const NEConvertFullyConnectedWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a63937646418861abc1a4c0293603720a',1,'arm_compute::NEConvertFullyConnectedWeightsKernel::operator=(NEConvertFullyConnectedWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a098833ba328ff07d483f4d8af88ee9f8',1,'arm_compute::NEConvolutionRectangleKernel::operator=(NEConvolutionRectangleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a83f9b3e1b738f05c859bd919a96450e9',1,'arm_compute::NECopyKernel::operator=(const NECopyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_copy_kernel.xhtml#a856f8155b59c602246ed14b348193357',1,'arm_compute::NECopyKernel::operator=(NECopyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ad1f6a0449f8106bc3c4a46b784455f2b',1,'arm_compute::NECumulativeDistributionKernel::operator=(const NECumulativeDistributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a7c095c1b8d17cdebc2135d8d5f9d17a9',1,'arm_compute::NECumulativeDistributionKernel::operator=(NECumulativeDistributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a62f3ade94d8143b81d7b803d46ff791e',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(const NEDepthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#aea34561bcec07b7c8c97836fd2b85048',1,'arm_compute::NEDepthConcatenateLayerKernel::operator=(NEDepthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#aa46940ddca6a4c314bda8da9e30c86e8',1,'arm_compute::NEDepthConvertLayerKernel::operator=(const NEDepthConvertLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a3807b43a5684d5d911e6b3b90e91f34b',1,'arm_compute::NEDepthConvertLayerKernel::operator=(NEDepthConvertLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(const NEDepthwiseConvolutionLayer3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232',1,'arm_compute::NEDepthwiseConvolutionLayer3x3Kernel::operator=(NEDepthwiseConvolutionLayer3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a71bbff3ea2feca2cd0d70f9eb01ca90b',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(const NEDepthwiseIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#abd81a8f6c3c7905c4cd60b70f3b3080e',1,'arm_compute::NEDepthwiseIm2ColKernel::operator=(NEDepthwiseIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ae65a3faf404ade3e8c3baedbbdc1b3e2',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(const NEDepthwiseVectorToTensorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a9496f50398140f7f9d61fb9d22ebc58a',1,'arm_compute::NEDepthwiseVectorToTensorKernel::operator=(NEDepthwiseVectorToTensorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#aa1d4701f887f2d047e5b7d20b954765d',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(const NEDepthwiseWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a23f3339d7c703d798f3b4e3de4f9b7d3',1,'arm_compute::NEDepthwiseWeightsReshapeKernel::operator=(NEDepthwiseWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a406393d4b1f6f5c6ce79c20df507a31c',1,'arm_compute::NEDequantizationLayerKernel::operator=(const NEDequantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a16209f1e14086b57f0f932a3b609c96f',1,'arm_compute::NEDequantizationLayerKernel::operator=(NEDequantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#a11f5eb3a93c035acdd9fd93f3bed50bd',1,'arm_compute::NEDerivativeKernel::operator=(const NEDerivativeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac23fff6afb2efca3962209a494931591',1,'arm_compute::NEDerivativeKernel::operator=(NEDerivativeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac299dc8386e25ebcf104989623cf6000',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(const NEDirectConvolutionLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#aec3ec4dc8b3bda8ba2638fbb9d520322',1,'arm_compute::NEDirectConvolutionLayerKernel::operator=(NEDirectConvolutionLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab02c33a0e6c13a21c8b8ceed03fd8b6d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(const NEDirectConvolutionLayerOutputStageKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ac03d137048cbb1394dab3a761cc0357d',1,'arm_compute::NEDirectConvolutionLayerOutputStageKernel::operator=(NEDirectConvolutionLayerOutputStageKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a8cd25f359e632367671a50a5c894689b',1,'arm_compute::NEElementwiseOperationKernel::operator=(const NEElementwiseOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#a6d1b4faad671ba5e53b437b71c628eb5',1,'arm_compute::NEElementwiseOperationKernel::operator=(NEElementwiseOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a0496d719e1b74db26c8b0c8fc40fe0a5',1,'arm_compute::NEElementwiseUnaryKernel::operator=(const NEElementwiseUnaryKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a58fbf3f3a819869d37be2d196a4a7403',1,'arm_compute::NEElementwiseUnaryKernel::operator=(NEElementwiseUnaryKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a3b21b6f8bfa867ac4095d07b3c24dc21',1,'arm_compute::NEFastCornersKernel::operator=(const NEFastCornersKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a8197fdf1bcf46e73d178e8e9e53ff7aa',1,'arm_compute::NEFastCornersKernel::operator=(NEFastCornersKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a13b2df49f2f949a2bb58f712265848bf',1,'arm_compute::NEFillArrayKernel::operator=(const NEFillArrayKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a9a55c46c05fbc0a537df4c3ccc48e674',1,'arm_compute::NEFillArrayKernel::operator=(NEFillArrayKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#aa4f538607cbe231add821baaed273d89',1,'arm_compute::NEFillBorderKernel::operator=(const NEFillBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_border_kernel.xhtml#acfb02d08dc643683c69a86b220e30574',1,'arm_compute::NEFillBorderKernel::operator=(NEFillBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ad1005cd5f8e117e601e605fe95eb2c43',1,'arm_compute::NEFillInnerBorderKernel::operator=(const NEFillInnerBorderKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a211e87c29190b5815452186960925f31',1,'arm_compute::NEFillInnerBorderKernel::operator=(NEFillInnerBorderKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#aaa8caa7803a5053e7c8c2334a6aa5d82',1,'arm_compute::NEFlattenLayerKernel::operator=(const NEFlattenLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_flatten_layer_kernel.xhtml#a91feb18606cd59d3557b2b98251256e5',1,'arm_compute::NEFlattenLayerKernel::operator=(NEFlattenLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a9e0321af8f472dffd74a70d7eb1558e6',1,'arm_compute::NEFuseBatchNormalizationKernel::operator=(const NEFuseBatchNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization_kernel.xhtml#a8bb7d80eb7f9958e4c8af180f8462b3d',1,'arm_compute::NEFuseBatchNormalizationKernel::operator=(NEFuseBatchNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#af3994bf384531efe15bdf601d2c3f855',1,'arm_compute::NEGatherKernel::operator=(const NEGatherKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gather_kernel.xhtml#a57477a3e30e8dd951eab54469b957b23',1,'arm_compute::NEGatherKernel::operator=(NEGatherKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a57b8231a27fbf3bd1867c384f20f0ee7',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a524b075e28c8335b5fcd97e2d0654429',1,'arm_compute::NEGaussianPyramidHorKernel::operator=(NEGaussianPyramidHorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a22225d9b8a8f6d1b8fe5186be5776362',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a06af55b2547ef858438a07ee2283cb7e',1,'arm_compute::NEGaussianPyramidVertKernel::operator=(NEGaussianPyramidVertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ae9136625e4f8d015a03eb45c3b57147f',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(const NEGEMMAssemblyBaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a942c394fe0e0e7e6c95d806e1211d3d9',1,'arm_compute::NEGEMMAssemblyBaseKernel::operator=(NEGEMMAssemblyBaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a881d64d29e841c5177b7a443e21d4160',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(const NEGEMMLowpMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a525a39534b1eb64631f04062d8ea992e',1,'arm_compute::NEGEMMLowpMatrixMultiplyKernel::operator=(NEGEMMLowpMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a88b3f84ef7b1572db87c30c5ec62d3ad',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(const NEGEMMLowpOffsetContributionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a29cc574f2f167b0472aad01be662d35c',1,'arm_compute::NEGEMMLowpOffsetContributionKernel::operator=(NEGEMMLowpOffsetContributionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#afd56f1f0c54f327fcfb4ca91d7d91566',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a2709f3f3c7480d4f0e5fb8de1dc4544b',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#acaa1e82e83b4152c28bd01c9422898df',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(const NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a29edb028c92e2e9225cdafbf06b9beb1',1,'arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#aaf80d9eb45e49a22571fa0129a7e9d20',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(const INEGEMMLowpReductionKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_g_e_m_m_lowp_reduction_kernel.xhtml#a46dac32640298b745aeae7823c9582ee',1,'arm_compute::INEGEMMLowpReductionKernel::operator=(INEGEMMLowpReductionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a409dfc45a8604ff384712328a6c31e90',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(const NEGEMMMatrixAccumulateBiasesKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a94d9d77f258a9f6f392f391086e93db1',1,'arm_compute::NEGEMMMatrixAccumulateBiasesKernel::operator=(NEGEMMMatrixAccumulateBiasesKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a7bf4194c21adc060991ddb88ed4c8b60',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(const NEGEMMMatrixAdditionKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#adc1be2dee3a4aeeb959cf2ec7aec7657',1,'arm_compute::NEGEMMMatrixAdditionKernel::operator=(NEGEMMMatrixAdditionKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a7374bb3f1d0e7e9cd4ba2c33f03fe24d',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(const NEGEMMMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a864371293368156a359430d90ebb7670',1,'arm_compute::NEGEMMMatrixMultiplyKernel::operator=(NEGEMMMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ae4d0d8ff6021bdee6922e6993042e7ae',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(const NEGEMMMatrixVectorMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#aa31c613d796b81e7ea7abdf0bfe68291',1,'arm_compute::NEGEMMMatrixVectorMultiplyKernel::operator=(NEGEMMMatrixVectorMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a232af38fd41caa594d7bc0571f56f50c',1,'arm_compute::INEHarrisScoreKernel::operator=(const INEHarrisScoreKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_harris_score_kernel.xhtml#a8c5c5c5c31d1d2eb36f6c8f71e7e181e',1,'arm_compute::INEHarrisScoreKernel::operator=(INEHarrisScoreKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a141d3236a2c874c5ea0ac78776b4433b',1,'arm_compute::NEHistogramKernel::operator=(const NEHistogramKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_histogram_kernel.xhtml#a4d612efbb9c534d6d89d397e65d816dd',1,'arm_compute::NEHistogramKernel::operator=(NEHistogramKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#aba51399633359154d6d92ac157ec2d79',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(const NEHOGOrientationBinningKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a777b74a7fe06dca3142df7575cfdb8d1',1,'arm_compute::NEHOGOrientationBinningKernel::operator=(NEHOGOrientationBinningKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a82a657d81256fe50dadf69b32daeff7f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(const NEHOGBlockNormalizationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab4a44853a753d8217b53760a605ad81f',1,'arm_compute::NEHOGBlockNormalizationKernel::operator=(NEHOGBlockNormalizationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a1950ead36156919ea0345e72bfe91e4f',1,'arm_compute::NEHOGDetectorKernel::operator=(const NEHOGDetectorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#afa7fbb664ca96646837a43aea8e9a5e8',1,'arm_compute::NEHOGDetectorKernel::operator=(NEHOGDetectorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a8f6d6c13a896535a381329b6145aeae8',1,'arm_compute::NEIm2ColKernel::operator=(const NEIm2ColKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a6a2aca1636f47703585803ca05d10180',1,'arm_compute::NEIm2ColKernel::operator=(NEIm2ColKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a8028a2c0f5d9fedccbaa8b10c91fcacc',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(const NEL2NormalizeLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a4cc3301a251cb2c41fba0752ea047781',1,'arm_compute::NEL2NormalizeLayerKernel::operator=(NEL2NormalizeLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a4fca340cdf3937fc9d34364c0c63b87f',1,'arm_compute::NELKTrackerKernel::operator=(const NELKTrackerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab71320bdcd0dfbee682dd61b8c1c0b0c',1,'arm_compute::NELKTrackerKernel::operator=(NELKTrackerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a6fbdf09b0ad8f3aafc550d4dc235dcc8',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(const NELocallyConnectedMatrixMultiplyKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#aa05b3e5b37ad26879891dfcbe27a3202',1,'arm_compute::NELocallyConnectedMatrixMultiplyKernel::operator=(NELocallyConnectedMatrixMultiplyKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a792f1b5315b3678896a2dd5eab8b692b',1,'arm_compute::NEMagnitudePhaseKernel::operator=(const NEMagnitudePhaseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ad45c0851db2721a94c831cbc6f30a037',1,'arm_compute::NEMagnitudePhaseKernel::operator=(NEMagnitudePhaseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a8658dfa985e2cd5805d4756eed25638d',1,'arm_compute::NEMeanStdDevKernel::operator=(const NEMeanStdDevKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#addfd7a52f0ae7ff3ff637834f4cb977c',1,'arm_compute::NEMeanStdDevKernel::operator=(NEMeanStdDevKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a1ccf2b937d1e441bcc3d722861506549',1,'arm_compute::NEMemsetKernel::operator=(const NEMemsetKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_memset_kernel.xhtml#a35918ce93d22ac66da14be30e5fdc3cf',1,'arm_compute::NEMemsetKernel::operator=(NEMemsetKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#affeb443f03d30ae971488ad113d4b95a',1,'arm_compute::NEMinMaxLayerKernel::operator=(const NEMinMaxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a830cb672edfb4d805d7b6142971cfc05',1,'arm_compute::NEMinMaxLayerKernel::operator=(NEMinMaxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a9b6ac356956d5d7dfb97871dfa8daa8e',1,'arm_compute::NEMinMaxKernel::operator=(const NEMinMaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_kernel.xhtml#a8b315188bf6d2dc453acbf411c477971',1,'arm_compute::NEMinMaxKernel::operator=(NEMinMaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab9a7c76bf701e9dbed2fd52ae73e7774',1,'arm_compute::NEMinMaxLocationKernel::operator=(const NEMinMaxLocationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a27b90206d81f057e8bb3c921f51e5190',1,'arm_compute::NEMinMaxLocationKernel::operator=(NEMinMaxLocationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ad1c7427d0764b87f44110b99e6ef711a',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a3951d5222dbce29fef63aa1c972bd5db',1,'arm_compute::NENonLinearFilterKernel::operator=(NENonLinearFilterKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#abd07bcfd3e6a025406dfaffbf9d44e3d',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(const NENonMaximaSuppression3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#aef123a42a08a4258997924a27803a565',1,'arm_compute::NENonMaximaSuppression3x3Kernel::operator=(NENonMaximaSuppression3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a7221fb56d3119c94875fbf76addc27fe',1,'arm_compute::NENormalizationLayerKernel::operator=(const NENormalizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a37d9ddfcfeee1a4993746c2d3ab51290',1,'arm_compute::NENormalizationLayerKernel::operator=(NENormalizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a361148b07189c79f5a4178e718424554',1,'arm_compute::NEPermuteKernel::operator=(const NEPermuteKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_permute_kernel.xhtml#a62da7f629d96facdeaf3e712c1a4f5af',1,'arm_compute::NEPermuteKernel::operator=(NEPermuteKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a6685c2ffbda12dbf1e4706b85c688e19',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(const NEPixelWiseMultiplicationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#aaa5c44de29693435660b5c849c62e991',1,'arm_compute::NEPixelWiseMultiplicationKernel::operator=(NEPixelWiseMultiplicationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a1729479f9686c64edfd1a4af834d634b',1,'arm_compute::NEPoolingLayerKernel::operator=(const NEPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a0e9871f265535f65226b65ae64ab2cfb',1,'arm_compute::NEPoolingLayerKernel::operator=(NEPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a93a51f56a003ef272a4418e4bce15452',1,'arm_compute::NEPriorBoxLayerKernel::operator=(const NEPriorBoxLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_prior_box_layer_kernel.xhtml#a790572f0ca2723a5fe92abbc24949b84',1,'arm_compute::NEPriorBoxLayerKernel::operator=(NEPriorBoxLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#aefff097fc5214bd2e8cecfbaa90cad3d',1,'arm_compute::NEQuantizationLayerKernel::operator=(const NEQuantizationLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a56c4b1f3df503c5f6308c318e305d7f8',1,'arm_compute::NEQuantizationLayerKernel::operator=(NEQuantizationLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#ae17557c16785ace25e05ecf95c08ed33',1,'arm_compute::NERangeKernel::operator=(const NERangeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_range_kernel.xhtml#acc6f05777a3e3dd5fe71c7efe9f01dac',1,'arm_compute::NERangeKernel::operator=(NERangeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a09d7fa5d5000365b8b7b2b7234b52615',1,'arm_compute::NEReductionOperationKernel::operator=(const NEReductionOperationKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a826800dc56e2295a28291f51c631c5ba',1,'arm_compute::NEReductionOperationKernel::operator=(NEReductionOperationKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#aa9096c3897bd0dbda632613a243fa835',1,'arm_compute::NERemapKernel::operator=(const NERemapKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_remap_kernel.xhtml#ac19511f65e6bad8424d4dd8933e0b673',1,'arm_compute::NERemapKernel::operator=(NERemapKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a8043dc90b47d430e6c9c570b4d39ec64',1,'arm_compute::NEReorgLayerKernel::operator=(const NEReorgLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reorg_layer_kernel.xhtml#a48da94ae894674d8009281d0bda17f62',1,'arm_compute::NEReorgLayerKernel::operator=(NEReorgLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#a0407e112433769274eedc2bbbad56bd7',1,'arm_compute::NEReverseKernel::operator=(const NEReverseKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_reverse_kernel.xhtml#abc01a4b550e675c59254b40f4dd217b8',1,'arm_compute::NEReverseKernel::operator=(NEReverseKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ac5110dfc692959c2e852b827976e138b',1,'arm_compute::NEROIPoolingLayerKernel::operator=(const NEROIPoolingLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a5224515065ba1467fd0cf092b08cc614',1,'arm_compute::NEROIPoolingLayerKernel::operator=(NEROIPoolingLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#a9bc5c918a86ea34e0a7cc2559c010596',1,'arm_compute::NEScaleKernel::operator=(const NEScaleKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scale_kernel.xhtml#aa2d0e6d7ced452bc623cd3020e3026c7',1,'arm_compute::NEScaleKernel::operator=(NEScaleKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a9e56daa4acb0848264206cbcabd71fb6',1,'arm_compute::NEScharr3x3Kernel::operator=(const NEScharr3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#aa4a99a8888c2b726eb11026235e1df4b',1,'arm_compute::NEScharr3x3Kernel::operator=(NEScharr3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#a151b3ed521d8bf9328976f6bc9cbfaad',1,'arm_compute::NESelectKernel::operator=(const NESelectKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_select_kernel.xhtml#ae01d5a859d3194b328951c3f5555e505',1,'arm_compute::NESelectKernel::operator=(NESelectKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a9e9f9a009b184aa9b7a95c08c5312c40',1,'arm_compute::NESobel3x3Kernel::operator=(const NESobel3x3Kernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ad278035b8f39d6cbfd3e4f0df8c2267e',1,'arm_compute::NESobel3x3Kernel::operator=(NESobel3x3Kernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a9e6242e9d05e2d354358200b6b0c9bce',1,'arm_compute::NESobel5x5HorKernel::operator=(const NESobel5x5HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a3e6b2451b91f83ba01eaa137cd43ad92',1,'arm_compute::NESobel5x5HorKernel::operator=(NESobel5x5HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a8954c998e67758f56891caf8da30c953',1,'arm_compute::NESobel5x5VertKernel::operator=(const NESobel5x5VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a59d1a2b1ef3d2b7e3bc5e942714d102a',1,'arm_compute::NESobel5x5VertKernel::operator=(NESobel5x5VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aa565986054157308084976722c25cb40',1,'arm_compute::NESobel7x7HorKernel::operator=(const NESobel7x7HorKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#aea088a2f4df212fdf1fdf5c345097ee7',1,'arm_compute::NESobel7x7HorKernel::operator=(NESobel7x7HorKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a175a100761bb3f0643d8a53cc50347c9',1,'arm_compute::NESobel7x7VertKernel::operator=(const NESobel7x7VertKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a119c48528fa6440b33a4e25c9825d07f',1,'arm_compute::NESobel7x7VertKernel::operator=(NESobel7x7VertKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a521b1174aeab742708cee344f456991f',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(const NELogits1DSoftmaxKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a6f530ecf884240c9e1efbacc620515f4',1,'arm_compute::NELogits1DSoftmaxKernel::operator=(NELogits1DSoftmaxKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#a70f51a52c7e3b3c3dc8df55c4de432bb',1,'arm_compute::NEStackLayerKernel::operator=(const NEStackLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_stack_layer_kernel.xhtml#ae567059d2109eb77ff954e9f044de8be',1,'arm_compute::NEStackLayerKernel::operator=(NEStackLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a19540be4889874d26e02bd93d190d245',1,'arm_compute::NEStridedSliceKernel::operator=(const NEStridedSliceKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_strided_slice_kernel.xhtml#a4b4a661ba3c184d74e2b1b7dec2bb5af',1,'arm_compute::NEStridedSliceKernel::operator=(NEStridedSliceKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a07bb7672d1a33bacdb6d6c03329be8bc',1,'arm_compute::NETableLookupKernel::operator=(const NETableLookupKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aa8401b21e8ec6f12716f91a8e84f2b88',1,'arm_compute::NETableLookupKernel::operator=(NETableLookupKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_threshold_kernel.xhtml#ade42f76ebc9cf95d29f8642069d1c0c2',1,'arm_compute::NEThresholdKernel::operator=()'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a63f3deecf9e352a67d8e5c1ee798dd96',1,'arm_compute::NETileKernel::operator=(const NETileKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_tile_kernel.xhtml#a0ba93c13ae54d1fa7bfd940d18ae77b1',1,'arm_compute::NETileKernel::operator=(NETileKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#a6feb51cd492d39a63e9455dac72bc030',1,'arm_compute::NETransposeKernel::operator=(const NETransposeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_transpose_kernel.xhtml#aef05df94b7db653754d21e0b341cb911',1,'arm_compute::NETransposeKernel::operator=(NETransposeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#aed69b535a05e3c953dfdb4255535f72b',1,'arm_compute::NEUpsampleLayerKernel::operator=(const NEUpsampleLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_upsample_layer_kernel.xhtml#ab275a3356e327941325a5023ddcf407b',1,'arm_compute::NEUpsampleLayerKernel::operator=(NEUpsampleLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a7fec20804044646d6a855713fe6573ae',1,'arm_compute::INEWarpKernel::operator=(const INEWarpKernel &amp;)=delete'],['../classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a724673b78b929bbbd03f746c75ad2ec7',1,'arm_compute::INEWarpKernel::operator=(INEWarpKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a412907d43b6f7ce6cce48207e8af83cd',1,'arm_compute::NEWeightsReshapeKernel::operator=(const NEWeightsReshapeKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a613d3b6daf647da39d73bdad79cf0ba7',1,'arm_compute::NEWeightsReshapeKernel::operator=(NEWeightsReshapeKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a71e697bc4b8d464bf4dbe5a214b977cc',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(const NEWidthConcatenateLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml#a5494f151a0889375c2cc2f9f8ce1d6e8',1,'arm_compute::NEWidthConcatenateLayerKernel::operator=(NEWidthConcatenateLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a899571657a22f26128c31b35588c8fb8',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(const NEWinogradLayerTransformInputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a18abeb1ed663c61bbbdc32a0d3ecef7e',1,'arm_compute::NEWinogradLayerTransformInputKernel::operator=(NEWinogradLayerTransformInputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a751da38633e08a705df626b6146085b2',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(const NEWinogradLayerTransformOutputKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a40b55a1414f014115c6aef7bc8656825',1,'arm_compute::NEWinogradLayerTransformOutputKernel::operator=(NEWinogradLayerTransformOutputKernel &amp;&amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a3d5b0b60d79a31bba3c7ef17c265b447',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(const INEWinogradLayerTransformWeightsKernel &amp;)=default'],['../classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a6406b215ecd8cf7bcc730be2eeaa7525',1,'arm_compute::INEWinogradLayerTransformWeightsKernel::operator=(INEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ae43e71907cc8f09be3338c84c18701bb',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(const NEWinogradLayerTransformWeightsKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a5dbb04cc8d65cafca5884f9c2c5a82b8',1,'arm_compute::NEWinogradLayerTransformWeightsKernel::operator=(NEWinogradLayerTransformWeightsKernel &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#ab22183b5230b6cbcfd18ce0cda810774',1,'arm_compute::NEYOLOLayerKernel::operator=(const NEYOLOLayerKernel &amp;)=delete'],['../classarm__compute_1_1_n_e_y_o_l_o_layer_kernel.xhtml#a036c2e4605e7fcbcb08974e5aff3b0eb',1,'arm_compute::NEYOLOLayerKernel::operator=(NEYOLOLayerKernel &amp;&amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a21310a3eef49fc4f04b98897fc785b34',1,'arm_compute::PyramidInfo::operator=(const PyramidInfo &amp;)=default'],['../classarm__compute_1_1_pyramid_info.xhtml#a09f1ed0da3ccc973d44d1156aff150f9',1,'arm_compute::PyramidInfo::operator=(PyramidInfo &amp;&amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a19a1cb67274c32a121bda25311368aa5',1,'arm_compute::Steps::operator=(const Steps &amp;)=default'],['../classarm__compute_1_1_steps.xhtml#a3fbb5c5f85131d56480ce42a77e6f8e1',1,'arm_compute::Steps::operator=(Steps &amp;&amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a0b6f9231ca0331d1a3194a3c921b3007',1,'arm_compute::Strides::operator=(const Strides &amp;)=default'],['../classarm__compute_1_1_strides.xhtml#a8176792e94ac0c326c5338c46e6594fc',1,'arm_compute::Strides::operator=(Strides &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#ac9cb71b17117e1185de0ae5f11066f09',1,'arm_compute::SubTensorInfo::operator=(const SubTensorInfo &amp;)=default'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a96c95f8cb79e02b44aa016e7842a4b68',1,'arm_compute::SubTensorInfo::operator=(SubTensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b',1,'arm_compute::TensorInfo::operator=(const TensorInfo &amp;)=default'],['../classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e',1,'arm_compute::TensorInfo::operator=(TensorInfo &amp;&amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#a355b1a84ab7af3b8ef9a6bea1939450a',1,'arm_compute::TensorShape::operator=(const TensorShape &amp;)=default'],['../classarm__compute_1_1_tensor_shape.xhtml#afbfae7c97606fb71d556a9f4e46dda00',1,'arm_compute::TensorShape::operator=(TensorShape &amp;&amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aa2c515476ae6f0e68d097df16d1fcc6b',1,'arm_compute::ValidRegion::operator=(const ValidRegion &amp;)=default'],['../structarm__compute_1_1_valid_region.xhtml#aee2d91caa7e213cece8c633926cff9c2',1,'arm_compute::ValidRegion::operator=(ValidRegion &amp;&amp;)=default'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a9ffd691a00a5c9080528c3b852bda144',1,'arm_compute::io::FileHandler::operator=(const FileHandler &amp;)=delete'],['../classarm__compute_1_1io_1_1_file_handler.xhtml#a54f342231c056055100190a5429e4689',1,'arm_compute::io::FileHandler::operator=(FileHandler &amp;&amp;)=default'],['../classarm__compute_1_1logging_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::logging::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a656c066d5514e0cb94ddbfadab0f0d62',1,'arm_compute::logging::Printer::operator=(Printer &amp;&amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#ab18882a3175cd53305509643329a400a',1,'arm_compute::logging::Logger::operator=(const Logger &amp;)=delete'],['../classarm__compute_1_1logging_1_1_logger.xhtml#a3f823d85882db15d1dd140a21ca391e2',1,'arm_compute::logging::Logger::operator=(Logger &amp;&amp;)=default'],['../classarm__compute_1_1_window_1_1_dimension.xhtml#a7768b7b80a8b640dae911af38e3315a2',1,'arm_compute::Window::Dimension::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#adfcd04c831f29841dd197ffe95dd091b',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(CLSubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#a3a3488108174600975461132e1e3cc03',1,'arm_compute::graph::backends::CLSubTensorHandle::operator=(const CLSubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ae6fbac5bb10b8f2bb45c86757823fd4c',1,'arm_compute::graph::backends::CLTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ace31806f68dba1602155ce7ac97eaabb',1,'arm_compute::graph::backends::GCTensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a74bed133a977865cdde5a939e0f98910',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(NESubTensorHandle &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#a21f1dbacc549582a3c3517697c25e9d4',1,'arm_compute::graph::backends::NESubTensorHandle::operator=(const NESubTensorHandle &amp;)=delete'],['../classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ad9b26271249b5922e416b762ca69c8d1',1,'arm_compute::graph::backends::NETensorHandle::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml#af0302d3fc7712901f4a536d0fb27dc3c',1,'arm_compute::graph::frontend::ROIAlignLayer::operator=()'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a4be4b83054829b12ec645bb454e6b9cc',1,'arm_compute::graph::frontend::Stream::operator=(const Stream &amp;)=delete'],['../classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a47609f455f49a8f991eff13b250d2077',1,'arm_compute::graph::frontend::Stream::operator=(Stream &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph.xhtml#acbe0278ebf263a33f3d0b9b4be834961',1,'arm_compute::graph::Graph::operator=(const Graph &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph.xhtml#ab7c768cbf48a5cf81c0cfc1fa27a94ef',1,'arm_compute::graph::Graph::operator=(Graph &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a486c42cfea65bf964404f77404dba8da',1,'arm_compute::graph::GraphContext::operator=(const GraphContext &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_context.xhtml#a52ee8d390e25147e776bfcb39b010947',1,'arm_compute::graph::GraphContext::operator=(GraphContext &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a5d30e27e2d3ceaa4f575d84881c099aa',1,'arm_compute::graph::GraphManager::operator=(const GraphManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_graph_manager.xhtml#a7e6bc69b0ad4be79c10f72debc89dfc8',1,'arm_compute::graph::GraphManager::operator=(GraphManager &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#ac2f34bc6eaa698b25680f2091dc29170',1,'arm_compute::graph::INode::operator=(const INode &amp;)=delete'],['../classarm__compute_1_1graph_1_1_i_node.xhtml#aa85ed20eb40b3a914e78124c89556249',1,'arm_compute::graph::INode::operator=(INode &amp;&amp;)=default'],['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a152bf09057df80a0f6e5be985575ed80',1,'arm_compute::graph::ROIAlignLayerNode::operator=()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a09bdb150e721834eab846495da9275f9',1,'arm_compute::graph::PassManager::operator=(const PassManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a80b283e26291370143876b3764724fa3',1,'arm_compute::graph::PassManager::operator=(PassManager &amp;&amp;)=default'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#af739e81f8924273bdb1a60f841be8400',1,'arm_compute::graph::ExecutionTask::operator=(const ExecutionTask &amp;)=delete'],['../structarm__compute_1_1graph_1_1_execution_task.xhtml#ad9df05c39bf73acfe0037ae02429ae72',1,'arm_compute::graph::ExecutionTask::operator=(ExecutionTask &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#ab8635dfa3dda23bdf12511b1580b4e3f',1,'arm_compute::BlobLifetimeManager::operator=(const BlobLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a6c3ced2dfa5fbe59969d3e948ba9d329',1,'arm_compute::BlobLifetimeManager::operator=(BlobLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_blob_memory_pool.xhtml#a48ffa311cc6842633aff367dd6f0d601',1,'arm_compute::BlobMemoryPool::operator=(const BlobMemoryPool &amp;)=delete'],['../classarm__compute_1_1_blob_memory_pool.xhtml#aefaf0120dcb471db4f69ad73c6a79a8b',1,'arm_compute::BlobMemoryPool::operator=(BlobMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_array.xhtml#a36d785dc1a6a88471030943546aa8f51',1,'arm_compute::CLArray::operator=(const CLArray &amp;)=delete'],['../classarm__compute_1_1_c_l_array.xhtml#aef6598a7ef623f1d4cb051d85176997b',1,'arm_compute::CLArray::operator=(CLArray &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_distribution1_d.xhtml#a5d11cfbbf69ebbd595d8aee3ecbafedb',1,'arm_compute::CLDistribution1D::operator=()'],['../classarm__compute_1_1_c_l_lut_allocator.xhtml#a2de13c6fbd9dd5506f12627b87415a51',1,'arm_compute::CLLutAllocator::operator=()'],['../classarm__compute_1_1_c_l_memory.xhtml#a74574cd4936f64bf0486bae1000a42c9',1,'arm_compute::CLMemory::operator=(const CLMemory &amp;)=default'],['../classarm__compute_1_1_c_l_memory.xhtml#af8add9f91e083ecba5952ab92de6eaf6',1,'arm_compute::CLMemory::operator=(CLMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#aba791ecf7c921e9a1c8d84baa7dd270e',1,'arm_compute::ICLMemoryRegion::operator=(const ICLMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_c_l_memory_region.xhtml#ad09657054c2f981a19b9ac7e4b95bd30',1,'arm_compute::ICLMemoryRegion::operator=(ICLMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#a9e7404a38329c9f1fcce42b8098dc6f9',1,'arm_compute::CLSubTensor::operator=(const CLSubTensor &amp;)=delete'],['../classarm__compute_1_1_c_l_sub_tensor.xhtml#aee53085b838758adfce05657de25f5c5',1,'arm_compute::CLSubTensor::operator=(CLSubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#a74c9c61e0615334fdeb176f21828a98f',1,'arm_compute::CLTensorAllocator::operator=(const CLTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_c_l_tensor_allocator.xhtml#aba115eb9c458f9e99b8c3fa3975a74a3',1,'arm_compute::CLTensorAllocator::operator=(CLTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_canny_edge.xhtml#a390de29c61d4843b56ae0d39fe1f139d',1,'arm_compute::CLCannyEdge::operator=()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#ab6c49b1e869d3874128118b3fee4e57a',1,'arm_compute::CLDeconvolutionLayer::operator=(const CLDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a0ea8cc5ad0f1e5d941a037fe1397e44e',1,'arm_compute::CLDeconvolutionLayer::operator=(CLDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#a8d005b2a08fa38af8837e78acdc96267',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(const CLDeconvolutionLayerUpsample &amp;)=delete'],['../classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#adf54c803735c542ac8cedbb7c3f262c7',1,'arm_compute::CLDeconvolutionLayerUpsample::operator=(CLDeconvolutionLayerUpsample &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a112759d936411bb8bc6d78574d2ad54c',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::operator=(const CLDepthwiseConvolutionLayer3x3 &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#afc8cdc3ccb5858350e433582a721887e',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::operator=(CLDepthwiseConvolutionLayer3x3 &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#acf1baa6f148b8ac41e5a766f599784de',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(const CLDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ae2f97590ca5e33e6dbc69628dd2e5d2a',1,'arm_compute::CLDepthwiseConvolutionLayer::operator=(CLDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_dequantization_layer.xhtml#a7e879d333563f4c267fa128928066842',1,'arm_compute::CLDequantizationLayer::operator=()'],['../classarm__compute_1_1_c_l_fast_corners.xhtml#a5376467035ae425342d9feb333452d07',1,'arm_compute::CLFastCorners::operator=()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a1bee19103166ceb1eedef2e6a4fe6515',1,'arm_compute::CLFullyConnectedLayer::operator=(const CLFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#a8a5afe02cef06665b7d7349a8ecbd109',1,'arm_compute::CLFullyConnectedLayer::operator=(CLFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a2b3915cc930d8148512e6ad76889c698',1,'arm_compute::CLFuseBatchNormalization::operator=(const CLFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a7744243a28857c04dc3cb94eb6de02c4',1,'arm_compute::CLFuseBatchNormalization::operator=(CLFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#afc0bb21e48fb78591b51913eba818410',1,'arm_compute::CLGaussianPyramid::operator=(const CLGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_c_l_gaussian_pyramid.xhtml#aa3f47917f1cb44a55c93363eaaf39c6e',1,'arm_compute::CLGaussianPyramid::operator=(CLGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039',1,'arm_compute::CLGEMM::operator=(const CLGEMM &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#a83a121357a2121ef7f0670b3f81e4645',1,'arm_compute::CLGEMM::operator=(CLGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a025e6bce0640a6cb5ecdab8a3e57f9a0',1,'arm_compute::CLGEMMConvolutionLayer::operator=(const CLGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#a78f1fff174957ab8dd876ee696d5a749',1,'arm_compute::CLGEMMConvolutionLayer::operator=(CLGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ac2494e2fd961a2305ebb15469ddb61c8',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(const CLGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aeafe3e59b630d85d379ee50e41568fe2',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::operator=(CLGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a70eba8b239fb2bd6f1a710f3c11cadfe',1,'arm_compute::CLGenerateProposalsLayer::operator=(const CLGenerateProposalsLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml#a3f7c854f0828f431c0b0376af42df0f4',1,'arm_compute::CLGenerateProposalsLayer::operator=(CLGenerateProposalsLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_harris_corners.xhtml#adda387b61b237daaf8579249f84751a5',1,'arm_compute::CLHarrisCorners::operator=()'],['../classarm__compute_1_1_c_l_histogram.xhtml#acb6c95349bcbf0a7f25e7e7e1e8f4b0e',1,'arm_compute::CLHistogram::operator=()'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#abec8de5d26dba14703efc9f1e49e1053',1,'arm_compute::CLHOGDetector::operator=(const CLHOGDetector &amp;)=delete'],['../classarm__compute_1_1_c_l_h_o_g_detector.xhtml#aa2d5fe72d2db4b034a829c0a92c80783',1,'arm_compute::CLHOGDetector::operator=(CLHOGDetector &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml#a4dc60a1da8bf41adb6c4d3c428a17415',1,'arm_compute::CLHOGMultiDetection::operator=()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a24d00f8384ab6f705aa3fe84f05c142b',1,'arm_compute::CLLocallyConnectedLayer::operator=(const CLLocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#a62556f200fe50d1b6f02f813ded415f0',1,'arm_compute::CLLocallyConnectedLayer::operator=(CLLocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#a3bef7233d145e0bf1c7f8d5bc6de10c8',1,'arm_compute::CLMeanStdDev::operator=(const CLMeanStdDev &amp;)=delete'],['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#ae8a26d490bb3e1aef9c3365c1a1e0405',1,'arm_compute::CLMeanStdDev::operator=(CLMeanStdDev &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a5ec34a951324ad9bd8bf06d8620369ed',1,'arm_compute::CLMinMaxLocation::operator=(const CLMinMaxLocation &amp;)=delete'],['../classarm__compute_1_1_c_l_min_max_location.xhtml#a54669d0a20e3df491886372d4cffef69',1,'arm_compute::CLMinMaxLocation::operator=(CLMinMaxLocation &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a68eed0e07674cc6e041d5dc0fecd8c27',1,'arm_compute::CLOpticalFlow::operator=(const CLOpticalFlow &amp;)=delete'],['../classarm__compute_1_1_c_l_optical_flow.xhtml#a24252fc100901855c82e8703834f9634',1,'arm_compute::CLOpticalFlow::operator=(CLOpticalFlow &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#a70408a1376ad3c51c4a4ac31606ef731',1,'arm_compute::CLSpaceToBatchLayer::operator=(const CLSpaceToBatchLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml#aae636d5d5d69bd1e0a94703499b61143',1,'arm_compute::CLSpaceToBatchLayer::operator=(CLSpaceToBatchLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#a78c051cce781f02d3b983248fe62a420',1,'arm_compute::CLUpsampleLayer::operator=(const CLUpsampleLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_upsample_layer.xhtml#ae1cf67f6c813d92aba68280f72302d3e',1,'arm_compute::CLUpsampleLayer::operator=(CLUpsampleLayer &amp;&amp;)=default'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a548924ae4a250d1010c286069c55d921',1,'arm_compute::CLWinogradConvolutionLayer::operator=(const CLWinogradConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a750abd85a10f58e3af2d82c62d21a730',1,'arm_compute::CLWinogradConvolutionLayer::operator=(CLWinogradConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_l_s_t_m_params.xhtml#af9f07d002a2338c5bc137b012fe546c2',1,'arm_compute::LSTMParams::operator=()'],['../classarm__compute_1_1_c_p_p_non_maximum_suppression.xhtml#a784f85001ff3f17056936f4e6486f238',1,'arm_compute::CPPNonMaximumSuppression::operator=()'],['../classarm__compute_1_1_c_p_p_detection_output_layer.xhtml#a0bd6124f70adfa9b9436a0222fbc736d',1,'arm_compute::CPPDetectionOutputLayer::operator=()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a87ed9138ded739663871c103fc77b36a',1,'arm_compute::GCConvolutionLayer::operator=(const GCConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#a0a2e80b84845bf2538dd5770089913b7',1,'arm_compute::GCConvolutionLayer::operator=(GCConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a0f630efcedbbbc70828b135558481d0a',1,'arm_compute::GCFullyConnectedLayer::operator=(const GCFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#af0b25842ef10cd339adaff0d90a991a6',1,'arm_compute::GCFullyConnectedLayer::operator=(GCFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a40c629523cd60defececec852c96bde9',1,'arm_compute::GCGEMM::operator=(const GCGEMM &amp;)=delete'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#a007cee76f844c83fd782c9f7f5183ea8',1,'arm_compute::GCGEMM::operator=(GCGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a9a8c0ce9078d258d67a4cc1a8be581b0',1,'arm_compute::GCMemory::operator=(const GCMemory &amp;)=default'],['../classarm__compute_1_1_g_c_memory.xhtml#a124afb1dbc1e3edb86f8ff7422551181',1,'arm_compute::GCMemory::operator=(GCMemory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#a9b586073abda157c8aa9cfc1d1a6baf7',1,'arm_compute::IGCMemoryRegion::operator=(const IGCMemoryRegion &amp;)=delete'],['../classarm__compute_1_1_i_g_c_memory_region.xhtml#aa070a495e1556ae2dd1cbcbdc7731d01',1,'arm_compute::IGCMemoryRegion::operator=(IGCMemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor.xhtml#aa4f270493cf446b73c02f830e92be848',1,'arm_compute::GCTensor::operator=(const GCTensor &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor.xhtml#ac819d83569c1bcd78c6e56dcdb995791',1,'arm_compute::GCTensor::operator=(GCTensor &amp;&amp;)=default'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a56164dac01e367ad6b509517cd94464a',1,'arm_compute::GCTensorAllocator::operator=(const GCTensorAllocator &amp;)=delete'],['../classarm__compute_1_1_g_c_tensor_allocator.xhtml#a70d4c3ea42d68d50cc207d343173696a',1,'arm_compute::GCTensorAllocator::operator=(GCTensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_i_lut_allocator.xhtml#afc1c53ed4dcc1a723b9b9dcf67c578a1',1,'arm_compute::ILutAllocator::operator=()'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a0f0200cb55880b234ad6b5957bcf4f1a',1,'arm_compute::ISimpleLifetimeManager::operator=(const ISimpleLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a55b290d729e4102cd5598bf68970d465',1,'arm_compute::ISimpleLifetimeManager::operator=(ISimpleLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a12e5f2915e2461321b130dcf84f3e268',1,'arm_compute::ITensorAllocator::operator=(const ITensorAllocator &amp;)=default'],['../classarm__compute_1_1_i_tensor_allocator.xhtml#a46277b6e964a66a9936e06f9989f0ff6',1,'arm_compute::ITensorAllocator::operator=(ITensorAllocator &amp;&amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5e46e80e8811b4deb258cd55124e55a8',1,'arm_compute::Memory::operator=(const Memory &amp;)=default'],['../classarm__compute_1_1_memory.xhtml#a5f1c7301ebe0c0bb6fb68b74863c1eaf',1,'arm_compute::Memory::operator=(Memory &amp;&amp;) noexcept=default'],['../classarm__compute_1_1_memory_group_base.xhtml#a597892bd64122315e3329751f634c20e',1,'arm_compute::MemoryGroupBase::operator=(const MemoryGroupBase &amp;)=delete'],['../classarm__compute_1_1_memory_group_base.xhtml#acdceaca325dbcee01e9abebd2e4586dc',1,'arm_compute::MemoryGroupBase::operator=(MemoryGroupBase &amp;&amp;)=default'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#a1bd945bc8d435108eb44610985af22c2',1,'arm_compute::MemoryManagerOnDemand::operator=(const MemoryManagerOnDemand &amp;)=delete'],['../classarm__compute_1_1_memory_manager_on_demand.xhtml#ae1fea3bf72cb300aab21e99cb8b278b9',1,'arm_compute::MemoryManagerOnDemand::operator=(MemoryManagerOnDemand &amp;&amp;)=default'],['../classarm__compute_1_1_memory_region.xhtml#a56244352ef17c3750434e3fd479859cb',1,'arm_compute::MemoryRegion::operator=(const MemoryRegion &amp;)=delete'],['../classarm__compute_1_1_memory_region.xhtml#a532920766558c751318576ff10974178',1,'arm_compute::MemoryRegion::operator=(MemoryRegion &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#ac959141838870719b552af8918577e72',1,'arm_compute::NEGEMMInterleavedWrapper::operator=()'],['../classarm__compute_1_1_n_e_canny_edge.xhtml#a325fac2836aecb2da2f86b7699e2b359',1,'arm_compute::NECannyEdge::operator=()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af81e2210787e1864c8bc6458b3072f6e',1,'arm_compute::NEDeconvolutionLayer::operator=(const NEDeconvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad441ee7d0846b6acc9d515383525ba52',1,'arm_compute::NEDeconvolutionLayer::operator=(NEDeconvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml#a883ebadadd34cf5dfead2ba71777df5c',1,'arm_compute::NEDepthConvertLayer::operator=()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa450bb01e6984892ca2a04078b9c653d',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(const NEDepthwiseConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#a360587fb0ea89c5937fbbc8e0c5f2e9f',1,'arm_compute::NEDepthwiseConvolutionLayer::operator=(NEDepthwiseConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#ab6dae67a00e8a7cb4809608be13d2e61',1,'arm_compute::NEFullyConnectedLayer::operator=(const NEFullyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#abebe778a14cc04d5e891c85000bbf75d',1,'arm_compute::NEFullyConnectedLayer::operator=(NEFullyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a56ab00d5b55e8d69ca5ff62077cd7d3c',1,'arm_compute::NEFuseBatchNormalization::operator=(const NEFuseBatchNormalization &amp;)=delete'],['../classarm__compute_1_1_n_e_fuse_batch_normalization.xhtml#a9c012d39bef2e18aa563cb78a4f7a646',1,'arm_compute::NEFuseBatchNormalization::operator=(NEFuseBatchNormalization &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a097e83a75f775a2d592e9779c372c2c2',1,'arm_compute::NEGaussianPyramid::operator=(const NEGaussianPyramid &amp;)=delete'],['../classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#a30c3a425c100798c86932c0ff6d12bb3',1,'arm_compute::NEGaussianPyramid::operator=(NEGaussianPyramid &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a01cad4311af868f78ee3de9e09b4a6a8',1,'arm_compute::NEGEMM::operator=(const NEGEMM &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#a296a65f1339d5d42de2fd545a9dc6c6d',1,'arm_compute::NEGEMM::operator=(NEGEMM &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#a402fbf95b304d32f0010dd4b1a2e9b90',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(const NEGEMMAssemblyDispatch &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#ac0b8f2b6d502446ead81a7e5862bc6ab',1,'arm_compute::NEGEMMAssemblyDispatch::operator=(NEGEMMAssemblyDispatch &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#ac13c7e80f7e9e6f1e2912ef50678c5c9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(const NEGEMMConvolutionLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#a0a7030af14bb803820435ca75009b0f9',1,'arm_compute::NEGEMMConvolutionLayer::operator=(NEGEMMConvolutionLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a6cf92b4f83cc26a87883df2e1eb54f9c',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(const NEGEMMLowpMatrixMultiplyCore &amp;)=delete'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#a1f225eb8d049d500f6ea74116105e16e',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::operator=(NEGEMMLowpMatrixMultiplyCore &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#a700706067ae7a82357f78ab2513cac99',1,'arm_compute::NEHOGMultiDetection::operator=()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a2011fb7b44e76ebd2957034db21a81b0',1,'arm_compute::NELocallyConnectedLayer::operator=(const NELocallyConnectedLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aae34e0091ee3636e2e9f80d7c69aa3a9',1,'arm_compute::NELocallyConnectedLayer::operator=(NELocallyConnectedLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_optical_flow.xhtml#a21df3a34e101b1a8f689aa6326b90441',1,'arm_compute::NEOpticalFlow::operator=()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#ae2d47df9fdf935549764571144c6c1c1',1,'arm_compute::NERNNLayer::operator=(const NERNNLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#a9b76a4c1bbcb9d6dc0573fb8ef3be3b8',1,'arm_compute::NERNNLayer::operator=(NERNNLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#a84f7743c7dc9ace409060c925a790a81',1,'arm_compute::NESoftmaxLayer::operator=(const NESoftmaxLayer &amp;)=delete'],['../classarm__compute_1_1_n_e_softmax_layer.xhtml#abd0aa260ae3061c2bb8f812498011abe',1,'arm_compute::NESoftmaxLayer::operator=(NESoftmaxLayer &amp;&amp;)=default'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#af00f525fea55946a514cfec3e4b95cf2',1,'arm_compute::NEWinogradConvolutionLayer::operator=()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#ac0f085875ec28fc74854dde66e516d40',1,'arm_compute::OffsetLifetimeManager::operator=(const OffsetLifetimeManager &amp;)=delete'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#af80823abd6f1c0958ace5e7c1bb7833e',1,'arm_compute::OffsetLifetimeManager::operator=(OffsetLifetimeManager &amp;&amp;)=default'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a99daecc3ea244297f40ff2d8bbed79e5',1,'arm_compute::OffsetMemoryPool::operator=(const OffsetMemoryPool &amp;)=delete'],['../classarm__compute_1_1_offset_memory_pool.xhtml#a7c0cd0404fd5482c2229abf8b93d1f59',1,'arm_compute::OffsetMemoryPool::operator=(OffsetMemoryPool &amp;&amp;)=default'],['../classarm__compute_1_1_pool_manager.xhtml#a2bfc06a61c655c3a5b8638336c6f504f',1,'arm_compute::PoolManager::operator=(const PoolManager &amp;)=delete'],['../classarm__compute_1_1_pool_manager.xhtml#a1989d6763b5a90b6cc2a4d8313001424',1,'arm_compute::PoolManager::operator=(PoolManager &amp;&amp;)=default'],['../classarm__compute_1_1_sub_tensor.xhtml#a90a31c7d9dde928db10b23bccd64b87d',1,'arm_compute::SubTensor::operator=(const SubTensor &amp;)=delete'],['../classarm__compute_1_1_sub_tensor.xhtml#ab77dfdfcd9be21524025d71a9650fba5',1,'arm_compute::SubTensor::operator=(SubTensor &amp;&amp;)=default'],['../classarm__compute_1_1_tensor.xhtml#a008f5e2a1c019e9b401753210a99ddfe',1,'arm_compute::Tensor::operator=()'],['../classarm__compute_1_1_tensor_allocator.xhtml#a943854ce6f3aafac2714340e0915de75',1,'arm_compute::TensorAllocator::operator=(const TensorAllocator &amp;)=delete'],['../classarm__compute_1_1_tensor_allocator.xhtml#ace0f71b15cbb5b468070f5a2fd4110ad',1,'arm_compute::TensorAllocator::operator=(TensorAllocator &amp;&amp;) noexcept'],['../classarm__gemm_1_1_buffer.xhtml#a5e31690a2c14a3428593c0af4435158a',1,'arm_gemm::Buffer::operator=()'],['../classarm__gemm_1_1_buffer_manager.xhtml#a8dbc0e51b4dc4103bcd2d7429882f25a',1,'arm_gemm::BufferManager::operator=()'],['../classarm__gemm_1_1_gemm_hybrid.xhtml#a82ec71716669b6765670e0ed242f5a47',1,'arm_gemm::GemmHybrid::operator=()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#af03b8e4289fa0e112d315dd7e25ec696',1,'arm_gemm::GemmInterleaved::operator=()'],['../classarm__gemm_1_1_gemm_native.xhtml#a27d1c82132d0cae0a2d04fb3c5c4b6d3',1,'arm_gemm::GemmNative::operator=()'],['../classarm__gemm_1_1_gemv_native_transposed.xhtml#a1de2cd698285048e8b3d214bf773430f',1,'arm_gemm::GemvNativeTransposed::operator=()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a4bd9591d6da5b65a99c56f82acc14c4c',1,'arm_gemm::GemvPretransposed::operator=()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61',1,'arm_compute::test::CLAccessor::operator=(const CLAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#afbf0737f9bb10f445830a603552ee7ca',1,'arm_compute::test::CLAccessor::operator=(CLAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a56b520c98dd5187fb13b7ee4f0356e93',1,'arm_compute::test::CLArrayAccessor::operator=(const CLArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ad0aeb1c3b2795a2008703a500d05f7f1',1,'arm_compute::test::CLArrayAccessor::operator=(CLArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#aad095a31506317d73c3a890efed1a77e',1,'arm_compute::test::CLHOGAccessor::operator=(const CLHOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_h_o_g_accessor.xhtml#a9b6519d4333c2f3a7335fdeba8ad036e',1,'arm_compute::test::CLHOGAccessor::operator=(CLHOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a4fb1029695f6ad5dcb495b61bf01ff12',1,'arm_compute::test::CLLutAccessor::operator=(const CLLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#ad3048c2580c341fd76b3647f8f71662a',1,'arm_compute::test::CLLutAccessor::operator=(CLLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a969cbf086a9939be47ea26a557ebf440',1,'arm_compute::test::framework::CommonOptions::operator=()'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::CartesianProductDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aeeb0d03fad59d8f94bb8dea95825550e',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(const iterator &amp;)=default'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml#aa6cd89e0315db8afdac35e06522e5511',1,'arm_compute::test::framework::dataset::SingletonDataset::iterator::operator=(iterator &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#ae4a6c66ea355204cca47490247b91f5f',1,'arm_compute::test::framework::Instrument::operator=(const Instrument &amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#a550047da2682a06765be837ae570e542',1,'arm_compute::test::framework::Instrument::operator=(Instrument &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_mali_counter.xhtml#a6a1582aa0e3a2791a9e3a00d3001d66e',1,'arm_compute::test::framework::MaliCounter::operator=()'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#a38d3874bedeff5dfa1957112a40b08c9',1,'arm_compute::test::framework::SchedulerClock::operator=(const SchedulerClock &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml#acd51d33419e5e10f03554e58d6bada4e',1,'arm_compute::test::framework::SchedulerClock::operator=(SchedulerClock &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab85933c994519feb7bc7e12ea3db127f',1,'arm_compute::test::framework::Printer::operator=(const Printer &amp;)=delete'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#ab9efee145dd3e600454d5790050051ab',1,'arm_compute::test::framework::Printer::operator=(Printer &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a47f2ee4769e9519ed011fcc8b4c25b80',1,'arm_compute::test::GCAccessor::operator=(const GCAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a0d69d9b5b77ad212fbc3c30717653256',1,'arm_compute::test::GCAccessor::operator=(GCAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a75dae34a374af1dc690c73cda2605586',1,'arm_compute::test::Accessor::operator=(const Accessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a2abf258677dd2dbe5821945c961584bc',1,'arm_compute::test::Accessor::operator=(Accessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#ab8e135abcf1fafedfcf9ee0577af6fa1',1,'arm_compute::test::ArrayAccessor::operator=(const ArrayAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_array_accessor.xhtml#a2cac2e7a5f7f729bd612f69fb0e21b19',1,'arm_compute::test::ArrayAccessor::operator=(ArrayAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a984182b61b3fb4264efb5bcd81b80327',1,'arm_compute::test::HOGAccessor::operator=(const HOGAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_h_o_g_accessor.xhtml#a4f8ad4080e43b8c3ac84ac8027e0dc69',1,'arm_compute::test::HOGAccessor::operator=(HOGAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#aab55c8a099bd3c9c705c22154375a1a2',1,'arm_compute::test::LutAccessor::operator=(const LutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a245b2a5255f1aa5d34a026cf7316d931',1,'arm_compute::test::LutAccessor::operator=(LutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5fbc8143d612bfca981fa8639649fd60',1,'arm_compute::test::RawLutAccessor::operator=(const RawLutAccessor &amp;)=delete'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#ac18e8430f571890da3a094188ddec4f8',1,'arm_compute::test::RawLutAccessor::operator=(RawLutAccessor &amp;&amp;)=default'],['../classarm__compute_1_1test_1_1_raw_tensor.xhtml#abf951228abf3337929f26f7c0feedcac',1,'arm_compute::test::RawTensor::operator=()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed',1,'arm_compute::test::SimpleTensor::operator=()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#afed776bb9670af4abedc158164e2aab8',1,'arm_compute::utils::CommonGraphOptions::operator=(const CommonGraphOptions &amp;)=delete'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a9a8aa1d010c8c0f650c55aefa8ece74e',1,'arm_compute::utils::CommonGraphOptions::operator=(CommonGraphOptions &amp;&amp;)=default'],['../classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#aeeb120f5eddd6460ae7681a8d018ce15',1,'arm_compute::graph_utils::NumPyAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#aebdccc20fb873152f7f05a3859de5808',1,'arm_compute::graph_utils::DetectionOutputAccessor::operator=()'],['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a29067af1bc346b969ff667fa490e692c',1,'arm_compute::graph_utils::TopNPredictionsAccessor::operator=()'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a14a8151e7c79a50f93572133e29f0386',1,'arm_compute::utils::MemoryImageFeeder::operator=(const MemoryImageFeeder &amp;)=delete'],['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#ae3e2ad983aa2f9f0b232cb9cdf140117',1,'arm_compute::utils::MemoryImageFeeder::operator=(MemoryImageFeeder &amp;&amp;)=default']]],
   ['operator_3d_3d',['operator==',['../classarm__compute_1_1_size2_d.xhtml#aa57a311ba456740bd5f8d667f0ec7a96',1,'arm_compute::Size2D::operator==()'],['../structarm__compute_1_1_quantization_info.xhtml#a818a1cdb23d1a380eb30dc1ebf61e4a4',1,'arm_compute::QuantizationInfo::operator==()'],['../namespacearm__compute.xhtml#a096590f2456b9e9bcb8db98175720b60',1,'arm_compute::operator==()']]],
   ['operator_3e_3e',['operator&gt;&gt;',['../namespacearm__compute.xhtml#a7cec6ed141f3eb1d6330533a90bba9e1',1,'arm_compute::operator&gt;&gt;(::std::istream &amp;stream, arm_compute::DataType &amp;data_type)'],['../namespacearm__compute.xhtml#a9c4a3d0e80938810dd7b22b16785f5c8',1,'arm_compute::operator&gt;&gt;(::std::istream &amp;stream, arm_compute::DataLayout &amp;data_layout)'],['../namespacearm__compute_1_1graph.xhtml#a81a73c1d68104f16b1d2f63e412b06be',1,'arm_compute::graph::operator&gt;&gt;()'],['../namespacearm__compute_1_1test_1_1framework.xhtml#aecd1325e94d00cb3d986e766000b3e38',1,'arm_compute::test::framework::operator&gt;&gt;(::std::istream &amp;stream, DatasetMode &amp;mode)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a549a58715637ff6fd467d33777a15f2c',1,'arm_compute::test::framework::operator&gt;&gt;(::std::istream &amp;stream, LogLevel &amp;level)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#a24f9c11e339a0326e95e07e0c97cb405',1,'arm_compute::test::framework::operator&gt;&gt;(::std::stringstream &amp;stream, InstrumentsDescription &amp;instrument)'],['../namespacearm__compute_1_1test_1_1framework.xhtml#af2a48b8d3c69f0f1bd7d02ab8adf9812',1,'arm_compute::test::framework::operator&gt;&gt;(::std::stringstream &amp;stream, LogFormat &amp;format)'],['../namespacearm__compute.xhtml#a1379e5f8a8b4640d7a52d901f0539ccd',1,'arm_compute::operator&gt;&gt;()']]],
   ['operator_5b_5d',['operator[]',['../classarm__compute_1_1_dimensions.xhtml#a08834d57877df4172a35bccc6719ab3a',1,'arm_compute::Dimensions::operator[](size_t dimension) const'],['../classarm__compute_1_1_dimensions.xhtml#ac88390e0a6503d5d09c65d204980beb1',1,'arm_compute::Dimensions::operator[](size_t dimension)'],['../classarm__compute_1_1_window.xhtml#ac13b9cd31178cde1e6b25302d619ea05',1,'arm_compute::Window::operator[]()'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::CLLutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::CLLutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a579b149d2df097ab5fecba3c6dedebd8',1,'arm_compute::test::ILutAccessor::operator[](T input_value) const =0'],['../classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#ad8be979742bb6772dd601fe23ad44dc5',1,'arm_compute::test::ILutAccessor::operator[](T input_value)=0'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::LutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::LutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a168d14b0e18a50b50ff1770f8868ef1c',1,'arm_compute::test::RawLutAccessor::operator[](T input_value) const override'],['../classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a5a60949b33f25c788cdbe21c9fab046a',1,'arm_compute::test::RawLutAccessor::operator[](T input_value) override'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52',1,'arm_compute::test::SimpleTensor::operator[](size_t offset)'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#adb16bab00d690a7952ca2f3d3d66bfa2',1,'arm_compute::test::SimpleTensor::operator[](size_t offset) const']]],
diff --git a/documentation/search/functions_f.html b/documentation/search/functions_f.html
index 424126c..38b6e81 100644
--- a/documentation/search/functions_f.html
+++ b/documentation/search/functions_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="functions_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/functions_f.js b/documentation/search/functions_f.js
index 84a8e69..0c6a1be 100644
--- a/documentation/search/functions_f.js
+++ b/documentation/search/functions_f.js
@@ -23,8 +23,9 @@
   ['passmanager',['PassManager',['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a07cb4a71e921a17830c7d09fd816f644',1,'arm_compute::graph::PassManager::PassManager()'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#ab082c58c50de873ea8e820029d1f124c',1,'arm_compute::graph::PassManager::PassManager(const PassManager &amp;)=delete'],['../classarm__compute_1_1graph_1_1_pass_manager.xhtml#a723398e070d446a14c305ba40f86603d',1,'arm_compute::graph::PassManager::PassManager(PassManager &amp;&amp;)=default']]],
   ['path',['path',['../classarm__compute_1_1test_1_1_assets_library.xhtml#ac4cb5f95f1d720ef0cc94b74152cf50b',1,'arm_compute::test::AssetsLibrary']]],
   ['permutation_5fvector',['permutation_vector',['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a509cfef89595612c50bce4ef1eae181b',1,'arm_compute::graph::PermuteLayerNode']]],
-  ['permute',['permute',['../namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0',1,'arm_compute::permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)'],['../namespacearm__compute.xhtml#a5045aaec85553032a782c44ab8d26341',1,'arm_compute::permute(TensorShape &amp;shape, const PermutationVector &amp;perm)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aece3b97f00c27986104bc5889d1ebb15',1,'arm_compute::test::validation::permute()'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb5244bc67431a8ed627e8b2e2d6d460',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; T &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5a1560ffa53b6e7ac695e357d8d58bbd',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b107aca8287064043bae890e8fa326b',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9658582deedb7a0bc04968bbbb9ec414',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03e463730fd831157e634c1ec0e95316',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c5ed6a7e94da6c172a9ddd508a423c8',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint32_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b56a65406301c50d2272804e8748f50',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; float &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0ef6952054605dc92cdd08f7306889af',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; half &gt; &amp;src, PermutationVector perm)']]],
+  ['permute',['permute',['../namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0',1,'arm_compute::permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)'],['../namespacearm__compute.xhtml#a5045aaec85553032a782c44ab8d26341',1,'arm_compute::permute(TensorShape &amp;shape, const PermutationVector &amp;perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#afb5244bc67431a8ed627e8b2e2d6d460',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; T &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a5a1560ffa53b6e7ac695e357d8d58bbd',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b107aca8287064043bae890e8fa326b',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint8_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9658582deedb7a0bc04968bbbb9ec414',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; int16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a03e463730fd831157e634c1ec0e95316',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint16_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c5ed6a7e94da6c172a9ddd508a423c8',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; uint32_t &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a4b56a65406301c50d2272804e8748f50',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; float &gt; &amp;src, PermutationVector perm)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a0ef6952054605dc92cdd08f7306889af',1,'arm_compute::test::validation::reference::permute(const SimpleTensor&lt; half &gt; &amp;src, PermutationVector perm)']]],
   ['permute_5fshape',['permute_shape',['../namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2',1,'arm_compute::graph_utils']]],
+  ['permute_5fstrides',['permute_strides',['../namespacearm__compute.xhtml#afcd35973f3a5d2d4d3015e155f185a81',1,'arm_compute']]],
   ['permutelayer',['PermuteLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml#a3100240dbc6c19e85608522a8d4c1e98',1,'arm_compute::graph::frontend::PermuteLayer']]],
   ['permutelayernode',['PermuteLayerNode',['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#aba1a80948f841e8d2959ea92bc6ebfeb',1,'arm_compute::graph::PermuteLayerNode']]],
   ['phase',['phase',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff',1,'arm_compute::test::validation::reference::phase(const SimpleTensor&lt; T &gt; &amp;gx, const SimpleTensor&lt; T &gt; &amp;gy, PhaseType phase_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a07cef8bbf0ddee4b39e682f3543ad3e4',1,'arm_compute::test::validation::reference::phase(const SimpleTensor&lt; int16_t &gt; &amp;gx, const SimpleTensor&lt; int16_t &gt; &amp;gy, PhaseType phase_type)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa2ef542d37d8078c125ffed2bc7a01f0',1,'arm_compute::test::validation::reference::phase(const SimpleTensor&lt; int32_t &gt; &amp;gx, const SimpleTensor&lt; int32_t &gt; &amp;gy, PhaseType phase_type)']]],
@@ -36,7 +37,7 @@
   ['pixel_5fbilinear_5fc1_5fclamp',['pixel_bilinear_c1_clamp',['../namespacearm__compute.xhtml#afa55519774605e5b840fb031fdd7b196',1,'arm_compute']]],
   ['pixel_5fsize_5ffrom_5fformat',['pixel_size_from_format',['../namespacearm__compute.xhtml#a4823543d67a2520c98669e2a5608ef6a',1,'arm_compute']]],
   ['pixel_5fwise_5fmultiplication',['pixel_wise_multiplication',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac83dce0165e7641bf302febd7245e8a3',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; T1 &gt; &amp;src1, const SimpleTensor&lt; T2 &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af732d263543679711ad61c7cda20729e',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; uint8_t &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a057c27871e90cf569224554c76d5d08b',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; uint8_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae484c896616cc5a976b5105a464aeb2b',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; int16_t &gt; &amp;src1, const SimpleTensor&lt; int16_t &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9175273db5b5d0ef364f8ed872d1eb58',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; float &gt; &amp;src1, const SimpleTensor&lt; float &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2f791ac2b2d03e0a5ae3df3332c5101a',1,'arm_compute::test::validation::reference::pixel_wise_multiplication(const SimpleTensor&lt; half_float::half &gt; &amp;src1, const SimpleTensor&lt; half_float::half &gt; &amp;src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)']]],
-  ['pixelvalue',['PixelValue',['../classarm__compute_1_1_pixel_value.xhtml#a6c754430610a785d5cb27e3b0ac396b8',1,'arm_compute::PixelValue::PixelValue()'],['../classarm__compute_1_1_pixel_value.xhtml#aeee8c50430251df2909cb16bd435a0b9',1,'arm_compute::PixelValue::PixelValue(uint8_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a013dcabbedc5e470addaefe209c1d970',1,'arm_compute::PixelValue::PixelValue(uint16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a759f09965687c6aea87dc4df7dd6f6b8',1,'arm_compute::PixelValue::PixelValue(int16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac04b0e04c1556f01d22c34af2afa564f',1,'arm_compute::PixelValue::PixelValue(uint32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a9deb64fff1a3515aa4bcd6f21dd3c4c0',1,'arm_compute::PixelValue::PixelValue(int32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac172f9f54700f67f512eb0ab043d3c25',1,'arm_compute::PixelValue::PixelValue(uint64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a06640bfee0fe6a6d4d8026b93e5a51b4',1,'arm_compute::PixelValue::PixelValue(int64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a3bc8ecbe2fec0390ab16c094a5b0f476',1,'arm_compute::PixelValue::PixelValue(half v)'],['../classarm__compute_1_1_pixel_value.xhtml#a90103a4ef4ab615848bb3afce5b97be1',1,'arm_compute::PixelValue::PixelValue(float v)'],['../classarm__compute_1_1_pixel_value.xhtml#a4adb7aa7ddf961dc4344cf857fecc62c',1,'arm_compute::PixelValue::PixelValue(double v)']]],
+  ['pixelvalue',['PixelValue',['../classarm__compute_1_1_pixel_value.xhtml#a6c754430610a785d5cb27e3b0ac396b8',1,'arm_compute::PixelValue::PixelValue()'],['../classarm__compute_1_1_pixel_value.xhtml#a77a6e9d50b8bc697760b68bd34c63c4e',1,'arm_compute::PixelValue::PixelValue(uint64_t v, DataType datatype, QuantizationInfo quant_info=QuantizationInfo())'],['../classarm__compute_1_1_pixel_value.xhtml#aeee8c50430251df2909cb16bd435a0b9',1,'arm_compute::PixelValue::PixelValue(uint8_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a013dcabbedc5e470addaefe209c1d970',1,'arm_compute::PixelValue::PixelValue(uint16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a759f09965687c6aea87dc4df7dd6f6b8',1,'arm_compute::PixelValue::PixelValue(int16_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac04b0e04c1556f01d22c34af2afa564f',1,'arm_compute::PixelValue::PixelValue(uint32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a9deb64fff1a3515aa4bcd6f21dd3c4c0',1,'arm_compute::PixelValue::PixelValue(int32_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#ac172f9f54700f67f512eb0ab043d3c25',1,'arm_compute::PixelValue::PixelValue(uint64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a06640bfee0fe6a6d4d8026b93e5a51b4',1,'arm_compute::PixelValue::PixelValue(int64_t v)'],['../classarm__compute_1_1_pixel_value.xhtml#a3bc8ecbe2fec0390ab16c094a5b0f476',1,'arm_compute::PixelValue::PixelValue(half v)'],['../classarm__compute_1_1_pixel_value.xhtml#a90103a4ef4ab615848bb3afce5b97be1',1,'arm_compute::PixelValue::PixelValue(float v)'],['../classarm__compute_1_1_pixel_value.xhtml#a4adb7aa7ddf961dc4344cf857fecc62c',1,'arm_compute::PixelValue::PixelValue(double v)']]],
   ['plane',['plane',['../classarm__compute_1_1_i_c_l_multi_image.xhtml#ab8cc996a2730daa7954ab5095ef55d62',1,'arm_compute::ICLMultiImage::plane(unsigned int index) override'],['../classarm__compute_1_1_i_c_l_multi_image.xhtml#a86abf6a49a5191f283a81f911ae4c482',1,'arm_compute::ICLMultiImage::plane(unsigned int index) const override'],['../classarm__compute_1_1_i_multi_image.xhtml#a84ad04ee4d2efc59632a3224d7a813b3',1,'arm_compute::IMultiImage::plane(unsigned int index)=0'],['../classarm__compute_1_1_i_multi_image.xhtml#a18bc117545eec0b9d0d502286d1afd62',1,'arm_compute::IMultiImage::plane(unsigned int index) const =0'],['../classarm__compute_1_1_multi_image.xhtml#a171e7e7b94330e11c7461a1c2f6172e0',1,'arm_compute::MultiImage::plane(unsigned int index) override'],['../classarm__compute_1_1_multi_image.xhtml#a2843b41d7c4475ca1b77280dabd23681',1,'arm_compute::MultiImage::plane(unsigned int index) const override']]],
   ['plane_5fidx_5ffrom_5fchannel',['plane_idx_from_channel',['../namespacearm__compute.xhtml#a4f6fe18760340bcec02d095b7099e923',1,'arm_compute']]],
   ['pmu',['PMU',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#af16eae86d803112e6466140aaced812b',1,'arm_compute::test::framework::PMU::PMU()'],['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#a96bc7297c283c973784c216437bae762',1,'arm_compute::test::framework::PMU::PMU(uint64_t config)']]],
@@ -69,15 +70,14 @@
   ['ppmloader',['PPMLoader',['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c',1,'arm_compute::utils::PPMLoader']]],
   ['ppmwriter',['PPMWriter',['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#a9ea94bf5b7d00ddb836df1b8dcedb93a',1,'arm_compute::graph_utils::PPMWriter::PPMWriter(std::string name, unsigned int maximum=1)'],['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#a9f9290f4260c1d4ed6096988cf1423a8',1,'arm_compute::graph_utils::PPMWriter::PPMWriter(PPMWriter &amp;&amp;)=default']]],
   ['pre_5fnms_5ftopn',['pre_nms_topN',['../classarm__compute_1_1_generate_proposals_info.xhtml#a5d2ef6ac7f91aa842b3fe47262cac45a',1,'arm_compute::GenerateProposalsInfo']]],
-  ['prepare',['prepare',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c',1,'arm_compute::graph::ExecutionTask::prepare()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMM::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLLocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLRNNLayer::prepare()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLWinogradConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCGEMM::prepare()'],['../classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26',1,'arm_compute::IFunction::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMInterleavedWrapper::prepare()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMM::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a6516a60ee54e48d9e1f5565c0b8fda5a',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMAssemblyDispatch::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NELocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NERNNLayer::prepare()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEWinogradConvolutionLayer::prepare()']]],
+  ['preferred_5fvector_5fwidth',['preferred_vector_width',['../namespacearm__compute.xhtml#a1bd532ddb5d86290e40c0b482eb476f2',1,'arm_compute']]],
+  ['prepare',['prepare',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#a1825b40ca3bc3a1ba67fdb58fac5015c',1,'arm_compute::graph::ExecutionTask::prepare()'],['../classarm__compute_1_1_c_l_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer3x3::prepare()'],['../classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMM::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_c_l_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLLocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_c_l_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLRNNLayer::prepare()'],['../classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::CLWinogradConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCConvolutionLayer::prepare()'],['../classarm__compute_1_1_g_c_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_g_c_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::GCGEMM::prepare()'],['../classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26',1,'arm_compute::IFunction::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMInterleavedWrapper::prepare()'],['../classarm__compute_1_1_n_e_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_deconvolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDeconvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEDepthwiseSeparableConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_fully_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEFullyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMM::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml#a6516a60ee54e48d9e1f5565c0b8fda5a',1,'arm_compute::NEGEMMAssemblyDispatch::IFallback::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMAssemblyDispatch::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMConvolutionLayer::prepare()'],['../classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEGEMMLowpMatrixMultiplyCore::prepare()'],['../classarm__compute_1_1_n_e_locally_connected_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NELocallyConnectedLayer::prepare()'],['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NERNNLayer::prepare()'],['../classarm__compute_1_1_n_e_winograd_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77',1,'arm_compute::NEWinogradConvolutionLayer::prepare()']]],
   ['prepare_5fall_5ftasks',['prepare_all_tasks',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a17b5e700b317feb19fc3cefd23a1d8bb',1,'arm_compute::graph::detail']]],
   ['preparea',['PrepareA',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#adcf137ac024ba559307713ace4088df7',1,'arm_gemm::StdTransformsFixed::PrepareA()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#adcf137ac024ba559307713ace4088df7',1,'arm_gemm::StdTransformsSVE::PrepareA()']]],
   ['prepareb',['PrepareB',['../classarm__gemm_1_1_std_transforms_fixed.xhtml#aedba4df70219eb533eb0149b60ab182e',1,'arm_gemm::StdTransformsFixed::PrepareB()'],['../classarm__gemm_1_1_std_transforms_s_v_e.xhtml#aedba4df70219eb533eb0149b60ab182e',1,'arm_gemm::StdTransformsSVE::PrepareB()']]],
   ['preprocess',['preprocess',['../classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f',1,'arm_compute::graph_utils::IPreprocessor::preprocess()'],['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666',1,'arm_compute::graph_utils::CaffePreproccessor::preprocess()'],['../classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666',1,'arm_compute::graph_utils::TFPreproccessor::preprocess()']]],
-  ['pretranspose_5fb_5farray',['pretranspose_B_array',['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmInterleaved::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvBatched::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvPretransposed::pretranspose_B_array()']]],
+  ['pretranspose_5fb_5farray',['pretranspose_B_array',['../classarm__gemm_1_1_gemm_hybrid.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmHybrid::pretranspose_B_array()'],['../classarm__gemm_1_1_gemm_interleaved.xhtml#ae385dce1a98e03f0a3ca311f031e5110',1,'arm_gemm::GemmInterleaved::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_batched.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvBatched::pretranspose_B_array()'],['../classarm__gemm_1_1_gemv_pretransposed.xhtml#a28341e4e1158f3446a8dfa13c9f5c6f0',1,'arm_gemm::GemvPretransposed::pretranspose_B_array()']]],
   ['print',['print',['../classarm__compute_1_1_i_tensor.xhtml#ade74189c92e70baa2848986c10dbe7ef',1,'arm_compute::ITensor::print()'],['../classarm__compute_1_1logging_1_1_printer.xhtml#a7a7f5cb630082eeb4cd46cb6d67a2577',1,'arm_compute::logging::Printer::print()'],['../classarm__compute_1_1graph_1_1_i_graph_printer.xhtml#acdf3485abb7e3743c0a3b941bc301e55',1,'arm_compute::graph::IGraphPrinter::print()'],['../classarm__compute_1_1graph_1_1_dot_graph_printer.xhtml#a6360aacec485371990a2691002a45fe4',1,'arm_compute::graph::DotGraphPrinter::print()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a4d2a8186429cb8b469e21c03dc4c8e33',1,'arm_compute::test::framework::Printer::print()']]],
-  ['print_5fconsecutive_5felements',['print_consecutive_elements',['../namespacearm__compute.xhtml#ab345de887f15705698d993b97d848bdc',1,'arm_compute']]],
-  ['print_5fconsecutive_5felements_5fimpl',['print_consecutive_elements_impl',['../namespacearm__compute.xhtml#aa3a28b8acd21301990e06377c64e1276',1,'arm_compute']]],
   ['print_5fentry',['print_entry',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#a2a3ad8a62c2d169ba98b99fc849cb8c0',1,'arm_compute::test::framework::JSONPrinter::print_entry()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#a2a3ad8a62c2d169ba98b99fc849cb8c0',1,'arm_compute::test::framework::PrettyPrinter::print_entry()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#adac997f56174b23d4e4ec5adccf1d836',1,'arm_compute::test::framework::Printer::print_entry()']]],
   ['print_5ferror',['print_error',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#afb8becd7931a06d74a77ee9b51a67dd6',1,'arm_compute::test::framework::JSONPrinter::print_error()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#afb8becd7931a06d74a77ee9b51a67dd6',1,'arm_compute::test::framework::PrettyPrinter::print_error()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a8b879125822f4f7e70d563c4f1672942',1,'arm_compute::test::framework::Printer::print_error()']]],
   ['print_5ferrors_5ffooter',['print_errors_footer',['../classarm__compute_1_1test_1_1framework_1_1_j_s_o_n_printer.xhtml#a09777172c75440fb57577f538c3354fa',1,'arm_compute::test::framework::JSONPrinter::print_errors_footer()'],['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml#a09777172c75440fb57577f538c3354fa',1,'arm_compute::test::framework::PrettyPrinter::print_errors_footer()'],['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml#a0aa25e682d18e48c986ed28cca43ad77',1,'arm_compute::test::framework::Printer::print_errors_footer()']]],
@@ -104,6 +104,7 @@
   ['producer',['producer',['../classarm__compute_1_1graph_1_1_edge.xhtml#acef46a426a99b126a412e361125f2ce9',1,'arm_compute::graph::Edge']]],
   ['producer_5fid',['producer_id',['../classarm__compute_1_1graph_1_1_edge.xhtml#a73b54dbd7dc72560e805067f2e68207c',1,'arm_compute::graph::Edge']]],
   ['producer_5fidx',['producer_idx',['../classarm__compute_1_1graph_1_1_edge.xhtml#acacab4f2a903f45180eb30f5ef1ae678',1,'arm_compute::graph::Edge']]],
+  ['product',['product',['../reduction__operation_8cl.xhtml#ab71c1065b18391b45255b1f251b861e7',1,'reduction_operation.cl']]],
   ['program',['Program',['../classarm__compute_1_1_program.xhtml#ad00a93de0aaf77172116c42bed3a5627',1,'arm_compute::Program::Program()'],['../classarm__compute_1_1_program.xhtml#ab761eeac6f1072ad0c2920feeb0a8076',1,'arm_compute::Program::Program(cl::Context context, std::string name, std::string source)'],['../classarm__compute_1_1_program.xhtml#a1615f70129362da8c0c0cd82ef6c1b44',1,'arm_compute::Program::Program(cl::Context context, cl::Device device, std::string name, std::vector&lt; unsigned char &gt; binary)'],['../classarm__compute_1_1_program.xhtml#a40ae1e88dc2e254ba8304fbc13349efb',1,'arm_compute::Program::Program(const Program &amp;)=default'],['../classarm__compute_1_1_program.xhtml#a466ef007aa3d82a7b5910fac373a3a11',1,'arm_compute::Program::Program(Program &amp;&amp;)=default']]],
   ['projection_5fbias',['projection_bias',['../classarm__compute_1_1_l_s_t_m_params.xhtml#ad676992a90d193409fa6a28a001af6c8',1,'arm_compute::LSTMParams']]],
   ['projection_5fweights',['projection_weights',['../classarm__compute_1_1_l_s_t_m_params.xhtml#ab1b3d5364f11bca8cacef026c8038dba',1,'arm_compute::LSTMParams']]],
diff --git a/documentation/search/mag_sel.png b/documentation/search/mag_sel.png
index 81f6040..39c0ed5 100644
--- a/documentation/search/mag_sel.png
+++ b/documentation/search/mag_sel.png
Binary files differ
diff --git a/documentation/search/namespaces_0.html b/documentation/search/namespaces_0.html
index 605ac45..c534537 100644
--- a/documentation/search/namespaces_0.html
+++ b/documentation/search/namespaces_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="namespaces_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/namespaces_0.js b/documentation/search/namespaces_0.js
index 6331ac4..e01c3ed 100644
--- a/documentation/search/namespaces_0.js
+++ b/documentation/search/namespaces_0.js
@@ -4,14 +4,16 @@
   ['arm_5fgemm',['arm_gemm',['../namespacearm__gemm.xhtml',1,'']]],
   ['backends',['backends',['../namespacearm__compute_1_1graph_1_1backends.xhtml',1,'arm_compute::graph']]],
   ['benchmark',['benchmark',['../namespacearm__compute_1_1test_1_1benchmark.xhtml',1,'arm_compute::test']]],
+  ['bit_5fops',['bit_ops',['../namespacearm__compute_1_1helpers_1_1bit__ops.xhtml',1,'arm_compute::helpers']]],
   ['cast',['cast',['../namespacearm__compute_1_1utils_1_1cast.xhtml',1,'arm_compute::utils']]],
+  ['cl_5fgemm',['cl_gemm',['../namespacearm__compute_1_1cl__gemm.xhtml',1,'arm_compute']]],
   ['clsuite',['CLSuite',['../namespacearm__compute_1_1test_1_1benchmark_1_1_c_l_suite.xhtml',1,'arm_compute::test::benchmark']]],
   ['colorconvert_5fhelper',['colorconvert_helper',['../namespacearm__compute_1_1test_1_1colorconvert__helper.xhtml',1,'arm_compute::test']]],
   ['convolution_5f3d',['convolution_3d',['../namespacearm__compute_1_1test_1_1convolution__3d.xhtml',1,'arm_compute::test']]],
   ['cpp11',['cpp11',['../namespacearm__compute_1_1support_1_1cpp11.xhtml',1,'arm_compute::support']]],
   ['cpp14',['cpp14',['../namespacearm__compute_1_1support_1_1cpp14.xhtml',1,'arm_compute::support']]],
   ['dataset',['dataset',['../namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml',1,'arm_compute::test::framework']]],
-  ['detail',['detail',['../namespacearm__compute_1_1detail.xhtml',1,'arm_compute::detail'],['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml',1,'arm_compute::graph::backends::detail'],['../namespacearm__compute_1_1graph_1_1detail.xhtml',1,'arm_compute::graph::detail'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml',1,'arm_compute::test::colorconvert_helper::detail'],['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml',1,'arm_compute::test::convolution_3d::detail'],['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml',1,'arm_compute::test::framework::detail'],['../namespacearm__compute_1_1utility_1_1detail.xhtml',1,'arm_compute::utility::detail']]],
+  ['detail',['detail',['../namespacearm__compute_1_1detail.xhtml',1,'arm_compute::detail'],['../namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml',1,'arm_compute::graph::backends::detail'],['../namespacearm__compute_1_1graph_1_1detail.xhtml',1,'arm_compute::graph::detail'],['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml',1,'arm_compute::test::colorconvert_helper::detail'],['../namespacearm__compute_1_1test_1_1convolution__3d_1_1detail.xhtml',1,'arm_compute::test::convolution_3d::detail'],['../namespacearm__compute_1_1test_1_1detail.xhtml',1,'arm_compute::test::detail'],['../namespacearm__compute_1_1test_1_1framework_1_1detail.xhtml',1,'arm_compute::test::framework::detail'],['../namespacearm__compute_1_1utility_1_1detail.xhtml',1,'arm_compute::utility::detail'],['../namespacearm__compute_1_1utils_1_1requires_1_1detail.xhtml',1,'arm_compute::utils::requires::detail']]],
   ['framework',['framework',['../namespacearm__compute_1_1test_1_1framework.xhtml',1,'arm_compute::test']]],
   ['frontend',['frontend',['../namespacearm__compute_1_1graph_1_1frontend.xhtml',1,'arm_compute::graph']]],
   ['gles',['gles',['../namespacearm__compute_1_1gles.xhtml',1,'arm_compute']]],
@@ -24,15 +26,18 @@
   ['misc',['misc',['../namespacearm__compute_1_1misc.xhtml',1,'arm_compute']]],
   ['nightlysuite',['NIGHTLYSuite',['../namespacearm__compute_1_1test_1_1benchmark_1_1_c_l_suite_1_1_n_i_g_h_t_l_y_suite.xhtml',1,'arm_compute::test::benchmark::CLSuite']]],
   ['quantization',['quantization',['../namespacearm__compute_1_1quantization.xhtml',1,'arm_compute']]],
+  ['random',['random',['../namespacearm__compute_1_1utils_1_1random.xhtml',1,'arm_compute::utils']]],
   ['reference',['reference',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml',1,'arm_compute::test::validation']]],
+  ['requires',['requires',['../namespacearm__compute_1_1utils_1_1requires.xhtml',1,'arm_compute::utils']]],
+  ['rounding',['rounding',['../namespacearm__compute_1_1utils_1_1rounding.xhtml',1,'arm_compute::utils']]],
   ['shape_5fcalculator',['shape_calculator',['../namespacearm__compute_1_1misc_1_1shape__calculator.xhtml',1,'arm_compute::misc']]],
   ['support',['support',['../namespacearm__compute_1_1support.xhtml',1,'arm_compute']]],
   ['tensor_5ftransform',['tensor_transform',['../namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml',1,'arm_compute::helpers']]],
   ['test',['test',['../namespacearm__compute_1_1test.xhtml',1,'arm_compute']]],
-  ['traits',['traits',['../namespacearm__compute_1_1test_1_1traits.xhtml',1,'arm_compute::test::traits'],['../namespacearm__compute_1_1traits.xhtml',1,'arm_compute::traits'],['../namespacearm__compute_1_1wrapper_1_1traits.xhtml',1,'arm_compute::wrapper::traits']]],
+  ['traits',['traits',['../namespacearm__compute_1_1test_1_1traits.xhtml',1,'arm_compute::test::traits'],['../namespacearm__compute_1_1traits.xhtml',1,'arm_compute::traits'],['../namespacearm__compute_1_1utils_1_1traits.xhtml',1,'arm_compute::utils::traits'],['../namespacearm__compute_1_1wrapper_1_1traits.xhtml',1,'arm_compute::wrapper::traits']]],
   ['tuners',['tuners',['../namespacearm__compute_1_1tuners.xhtml',1,'arm_compute']]],
   ['utility',['utility',['../namespacearm__compute_1_1utility.xhtml',1,'arm_compute']]],
-  ['utils',['utils',['../namespacearm__compute_1_1utils.xhtml',1,'arm_compute']]],
+  ['utils',['utils',['../namespacearm__compute_1_1utils.xhtml',1,'arm_compute::utils'],['../namespacearm__gemm_1_1utils.xhtml',1,'arm_gemm::utils']]],
   ['validation',['validation',['../namespacearm__compute_1_1test_1_1validation.xhtml',1,'arm_compute::test']]],
   ['wrapper',['wrapper',['../namespacearm__compute_1_1wrapper.xhtml',1,'arm_compute']]]
 ];
diff --git a/documentation/search/namespaces_1.html b/documentation/search/namespaces_1.html
index f093550..8b44a3c 100644
--- a/documentation/search/namespaces_1.html
+++ b/documentation/search/namespaces_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="namespaces_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/namespaces_2.html b/documentation/search/namespaces_2.html
index 1a1cbe1..4167b1f 100644
--- a/documentation/search/namespaces_2.html
+++ b/documentation/search/namespaces_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="namespaces_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/nomatches.html b/documentation/search/nomatches.html
index b1ded27..4377320 100644
--- a/documentation/search/nomatches.html
+++ b/documentation/search/nomatches.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
diff --git a/documentation/search/pages_0.html b/documentation/search/pages_0.html
index 4955b9e..3d06b05 100644
--- a/documentation/search/pages_0.html
+++ b/documentation/search/pages_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="pages_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/pages_1.html b/documentation/search/pages_1.html
index aedb14e..06f1e40 100644
--- a/documentation/search/pages_1.html
+++ b/documentation/search/pages_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="pages_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/pages_1.js b/documentation/search/pages_1.js
index 9876ffc..a3449c0 100644
--- a/documentation/search/pages_1.js
+++ b/documentation/search/pages_1.js
@@ -1,5 +1,4 @@
 var searchData=
 [
-  ['importing_20data_20from_20existing_20models',['Importing data from existing models',['../data_import.xhtml',1,'']]],
-  ['introduction',['Introduction',['../index.xhtml',1,'']]]
+  ['deprecated_20list',['Deprecated List',['../deprecated.xhtml',1,'']]]
 ];
diff --git a/documentation/search/pages_2.html b/documentation/search/pages_2.html
index bd91593..703f781 100644
--- a/documentation/search/pages_2.html
+++ b/documentation/search/pages_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="pages_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/pages_2.js b/documentation/search/pages_2.js
index 6d19b52..9876ffc 100644
--- a/documentation/search/pages_2.js
+++ b/documentation/search/pages_2.js
@@ -1,5 +1,5 @@
 var searchData=
 [
-  ['library_20architecture',['Library architecture',['../architecture.xhtml',1,'']]],
-  ['list_20of_20functions',['List of functions',['../functions_list.xhtml',1,'']]]
+  ['importing_20data_20from_20existing_20models',['Importing data from existing models',['../data_import.xhtml',1,'']]],
+  ['introduction',['Introduction',['../index.xhtml',1,'']]]
 ];
diff --git a/documentation/search/pages_3.html b/documentation/search/pages_3.html
index bc0e37f..299228a 100644
--- a/documentation/search/pages_3.html
+++ b/documentation/search/pages_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="pages_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/pages_3.js b/documentation/search/pages_3.js
index ed67a8e..6d19b52 100644
--- a/documentation/search/pages_3.js
+++ b/documentation/search/pages_3.js
@@ -1,4 +1,5 @@
 var searchData=
 [
-  ['validation_20and_20benchmarks_20tests',['Validation and benchmarks tests',['../tests.xhtml',1,'']]]
+  ['library_20architecture',['Library architecture',['../architecture.xhtml',1,'']]],
+  ['list_20of_20functions',['List of functions',['../functions_list.xhtml',1,'']]]
 ];
diff --git a/documentation/search/pages_4.html b/documentation/search/pages_4.html
new file mode 100644
index 0000000..021d277
--- /dev/null
+++ b/documentation/search/pages_4.html
@@ -0,0 +1,30 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html><head><title></title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
+<link rel="stylesheet" type="text/css" href="search.css"/>
+<script type="text/javascript" src="pages_4.js"></script>
+<script type="text/javascript" src="search.js"></script>
+</head>
+<body class="SRPage">
+<div id="SRIndex">
+<div class="SRStatus" id="Loading">Loading...</div>
+<div id="SRResults"></div>
+<script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
+createResults();
+/* @license-end */
+--></script>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+<script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
+document.getElementById("Loading").style.display="none";
+document.getElementById("NoMatches").style.display="none";
+var searchResults = new SearchResults("searchResults");
+searchResults.Search();
+/* @license-end */
+--></script>
+</div>
+</body>
+</html>
diff --git a/documentation/search/pages_4.js b/documentation/search/pages_4.js
new file mode 100644
index 0000000..ed67a8e
--- /dev/null
+++ b/documentation/search/pages_4.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['validation_20and_20benchmarks_20tests',['Validation and benchmarks tests',['../tests.xhtml',1,'']]]
+];
diff --git a/documentation/search/related_0.html b/documentation/search/related_0.html
index 1db947b..8ee34ff 100644
--- a/documentation/search/related_0.html
+++ b/documentation/search/related_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="related_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/related_1.html b/documentation/search/related_1.html
index 413c6d4..4893ffd 100644
--- a/documentation/search/related_1.html
+++ b/documentation/search/related_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="related_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/related_2.html b/documentation/search/related_2.html
index 60d1ede..9bc46cb 100644
--- a/documentation/search/related_2.html
+++ b/documentation/search/related_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="related_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/related_3.html b/documentation/search/related_3.html
index 7b0e1d2..1332a0b 100644
--- a/documentation/search/related_3.html
+++ b/documentation/search/related_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="related_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/related_4.html b/documentation/search/related_4.html
index 360ddb4..2466b85 100644
--- a/documentation/search/related_4.html
+++ b/documentation/search/related_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="related_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/search.js b/documentation/search/search.js
index dedce3b..a554ab9 100644
--- a/documentation/search/search.js
+++ b/documentation/search/search.js
@@ -1,3 +1,26 @@
+/*
+ @licstart  The following is the entire license notice for the
+ JavaScript code in this file.
+
+ Copyright (C) 1997-2017 by Dimitri van Heesch
+
+ This program is free software; you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation; either version 2 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License along
+ with this program; if not, write to the Free Software Foundation, Inc.,
+ 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+ @licend  The above is the entire license notice
+ for the JavaScript code in this file
+ */
 function convertToId(search)
 {
   var result = '';
@@ -788,4 +811,4 @@
   }
   searchBox.OnSelectItem(0);
 }
-
+/* @license-end */
diff --git a/documentation/search/search_l.png b/documentation/search/search_l.png
index c872f4d..fd5f7da 100644
--- a/documentation/search/search_l.png
+++ b/documentation/search/search_l.png
Binary files differ
diff --git a/documentation/search/search_r.png b/documentation/search/search_r.png
index 97ee8b4..1af5d21 100644
--- a/documentation/search/search_r.png
+++ b/documentation/search/search_r.png
Binary files differ
diff --git a/documentation/search/searchdata.js b/documentation/search/searchdata.js
index 63a8996..8bef5a0 100644
--- a/documentation/search/searchdata.js
+++ b/documentation/search/searchdata.js
@@ -11,7 +11,7 @@
   8: "abcdefghijlmnopqrstuvwy",
   9: "gorst",
   10: "_acdefghijlmnoprstuvwxy",
-  11: "ailv"
+  11: "adilv"
 };
 
 var indexSectionNames =
diff --git a/documentation/search/typedefs_0.html b/documentation/search/typedefs_0.html
index 05722e1..3848b20 100644
--- a/documentation/search/typedefs_0.html
+++ b/documentation/search/typedefs_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_1.html b/documentation/search/typedefs_1.html
index b77c533..c8a0268 100644
--- a/documentation/search/typedefs_1.html
+++ b/documentation/search/typedefs_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_10.html b/documentation/search/typedefs_10.html
index 8813055..6582534 100644
--- a/documentation/search/typedefs_10.html
+++ b/documentation/search/typedefs_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_11.html b/documentation/search/typedefs_11.html
index 170f24a..582669c 100644
--- a/documentation/search/typedefs_11.html
+++ b/documentation/search/typedefs_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_11.js b/documentation/search/typedefs_11.js
index e415342..44b9561 100644
--- a/documentation/search/typedefs_11.js
+++ b/documentation/search/typedefs_11.js
@@ -1,5 +1,6 @@
 var searchData=
 [
-  ['result_5ftype',['result_type',['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b',1,'arm_compute::utils::uniform_real_distribution_fp16']]],
-  ['roiarray',['ROIArray',['../namespacearm__compute.xhtml#a35ae0858a604c4c0672ce857e8080ae4',1,'arm_compute']]]
+  ['range_5fpair',['range_pair',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#ae7cfd8e78331b6abcb10e5c35b6e3603',1,'arm_compute::utils::random::RangedUniformDistribution']]],
+  ['rangepair',['RangePair',['../classarm__compute_1_1test_1_1_assets_library.xhtml#a51733f705cc27b63c4be127eb50639c4',1,'arm_compute::test::AssetsLibrary']]],
+  ['result_5ftype',['result_type',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#a712fe00c49a4ab6f1feb0068cfb856a4',1,'arm_compute::utils::random::RangedUniformDistribution::result_type()'],['../classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b',1,'arm_compute::utils::uniform_real_distribution_fp16::result_type()']]]
 ];
diff --git a/documentation/search/typedefs_12.html b/documentation/search/typedefs_12.html
index 0cc1159..8d0cc41 100644
--- a/documentation/search/typedefs_12.html
+++ b/documentation/search/typedefs_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_13.html b/documentation/search/typedefs_13.html
index 7fad810..8d029b2 100644
--- a/documentation/search/typedefs_13.html
+++ b/documentation/search/typedefs_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_14.html b/documentation/search/typedefs_14.html
index 0f74392..4512208 100644
--- a/documentation/search/typedefs_14.html
+++ b/documentation/search/typedefs_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_15.html b/documentation/search/typedefs_15.html
index d350c28..3ca0ba7 100644
--- a/documentation/search/typedefs_15.html
+++ b/documentation/search/typedefs_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_16.html b/documentation/search/typedefs_16.html
index 7300785..9d770a7 100644
--- a/documentation/search/typedefs_16.html
+++ b/documentation/search/typedefs_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_2.html b/documentation/search/typedefs_2.html
index 076311d..86a9195 100644
--- a/documentation/search/typedefs_2.html
+++ b/documentation/search/typedefs_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_3.html b/documentation/search/typedefs_3.html
index a4a727f..2f81388 100644
--- a/documentation/search/typedefs_3.html
+++ b/documentation/search/typedefs_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_3.js b/documentation/search/typedefs_3.js
index 658ea2e..f0c61d0 100644
--- a/documentation/search/typedefs_3.js
+++ b/documentation/search/typedefs_3.js
@@ -5,7 +5,7 @@
   ['claccumulatesquaredfixture',['CLAccumulateSquaredFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b64a7d146dd29cee9e7c67a3ab104a0',1,'arm_compute::test::validation']]],
   ['claccumulateweightedfixture',['CLAccumulateWeightedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e40de236e0a3c86063d18a8ba7fb97e',1,'arm_compute::test::validation']]],
   ['clactivationlayerfixture',['CLActivationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a74a10374253178ae54e1baab173698a1',1,'arm_compute::test::benchmark::CLActivationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5b12b22c816f5f7724d386528bd3292',1,'arm_compute::test::validation::CLActivationLayerFixture()']]],
-  ['clactivationlayerquantizedfixture',['CLActivationLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c1638f6b8f9dcffd5c6d6febaa88d20',1,'arm_compute::test::validation']]],
+  ['clargminmaxvalidationfixture',['CLArgMinMaxValidationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4a8e82108e6766942b7cc373cee6c49',1,'arm_compute::test::validation']]],
   ['clarithmeticadditionbroadcastfixture',['CLArithmeticAdditionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a40a8246461ec236ef0d194b771f165db',1,'arm_compute::test::validation']]],
   ['clarithmeticadditionfixture',['CLArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6faaa6a770361529ed83471997cea631',1,'arm_compute::test::validation']]],
   ['clarithmeticadditionquantizedfixture',['CLArithmeticAdditionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad84df5a0fdce2a53236c8c1b256c852b',1,'arm_compute::test::validation']]],
@@ -13,7 +13,9 @@
   ['clarithmeticdivisionfixture',['CLArithmeticDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af78d518c71cb02284c72e7271dc79c8f',1,'arm_compute::test::validation']]],
   ['clarithmeticsubtractionbroadcastfixture',['CLArithmeticSubtractionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a763a6efeb0cf8b7c7471ada355088304',1,'arm_compute::test::validation']]],
   ['clarithmeticsubtractionfixture',['CLArithmeticSubtractionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06df93f59784a4e39289572b8808158f',1,'arm_compute::test::validation']]],
+  ['clarithmeticsubtractionquantizedfixture',['CLArithmeticSubtractionQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80bb2f93e59c7ff9dbfb21a26db6825d',1,'arm_compute::test::validation']]],
   ['clbatchnormalizationlayerfixture',['CLBatchNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad',1,'arm_compute::test::benchmark::CLBatchNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68896a47b324b69e39f553ba14342a9a',1,'arm_compute::test::validation::CLBatchNormalizationLayerFixture()']]],
+  ['clbatchnormalizationlayerfusionfixture',['CLBatchNormalizationLayerFusionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc80af4a1a7ef6ad34b62706bcd60c28',1,'arm_compute::test::validation']]],
   ['clbatchtospacelayerfixture',['CLBatchToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab2200847743f71611eb8687d2e26b440',1,'arm_compute::test::validation']]],
   ['clbitwiseandfixture',['CLBitwiseAndFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a000aeec73be4f2ea652bbc1c061978d2',1,'arm_compute::test::validation']]],
   ['clbitwisenotfixture',['CLBitwiseNotFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a145713668ca7a275fea3f4bf0c8cba5c',1,'arm_compute::test::validation']]],
@@ -23,6 +25,14 @@
   ['clboundingboxtransformfixture',['CLBoundingBoxTransformFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2cfbe05382ded5d2e9ff02289e0c5921',1,'arm_compute::test::validation']]],
   ['clbox3x3fixture',['CLBox3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25cdd3b444cb22432ad06e51d7ac20af',1,'arm_compute::test::validation']]],
   ['clcannyedgefixture',['CLCannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a89469af2cbb370c5d52db10de55fb092',1,'arm_compute::test::benchmark::CLCannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa23b2d3ec02af6063e45fc055e30b755',1,'arm_compute::test::validation::CLCannyEdgeFixture()']]],
+  ['clcasttof16fixture',['CLCastToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af5a940ec8d72d65cbc2af63ebf9b09de',1,'arm_compute::test::validation']]],
+  ['clcasttof32fixture',['CLCastToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5b111c1fdfd355c420fffb6034e5628a',1,'arm_compute::test::validation']]],
+  ['clcasttos16fixture',['CLCastToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a29a05bdcc12768e9c85edb49bb51bc98',1,'arm_compute::test::validation']]],
+  ['clcasttos32fixture',['CLCastToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acf6f3fb6ce79231767bc544534e8a013',1,'arm_compute::test::validation']]],
+  ['clcasttos8fixture',['CLCastToS8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aef352a0406e50dd73eec6d1ab2dc3e21',1,'arm_compute::test::validation']]],
+  ['clcasttou16fixture',['CLCastToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a29744907f1b0839155db7898652f2b36',1,'arm_compute::test::validation']]],
+  ['clcasttou32fixture',['CLCastToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afc90d080466bf0d5c1568b3311f8c368',1,'arm_compute::test::validation']]],
+  ['clcasttou8fixture',['CLCastToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cd3b8bab97649cc15f1c704fc71e2ad',1,'arm_compute::test::validation']]],
   ['clchannelcombinefixture',['CLChannelCombineFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a562634a0f250b3afee086305408cb604',1,'arm_compute::test::validation']]],
   ['clchannelextractfixture',['CLChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a819e94712b5472297c3d0bf3f3875d58',1,'arm_compute::test::validation']]],
   ['clchannelshufflelayerfixture',['CLChannelShuffleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab724088bd632e086bfc912fb7e5f986c',1,'arm_compute::test::validation']]],
@@ -30,6 +40,7 @@
   ['clcol2im',['CLCol2Im',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1c6b2f100723302d68eb562bbfb858f',1,'arm_compute::test::validation']]],
   ['clcol2imfixture',['CLCol2ImFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2e8871b98541ab3262a2fb371a11c9d',1,'arm_compute::test::validation']]],
   ['clcolorconvertfixture',['CLColorConvertFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a91b232424d610674b94a96284640fc50',1,'arm_compute::test::benchmark::CLColorConvertFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dcae49094c2485cfa5ed8f72fa353de',1,'arm_compute::test::validation::CLColorConvertFixture()']]],
+  ['clcomparisonfixture',['CLComparisonFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c2a6dfcd2229857f94b39697278d32c',1,'arm_compute::test::validation']]],
   ['clcomputeallanchorsfixture',['CLComputeAllAnchorsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4241c6ea2277c5206b732934f400681f',1,'arm_compute::test::validation']]],
   ['clconvertfullyconnectedweightsfixture',['CLConvertFullyConnectedWeightsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2707daabc31d77ead2c865f2e6ff5033',1,'arm_compute::test::validation']]],
   ['clconvolution3x3kernel',['CLConvolution3x3Kernel',['../namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541',1,'arm_compute']]],
@@ -56,9 +67,7 @@
   ['cldepthconvertlayertou32fixture',['CLDepthConvertLayerToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f40d9ffb69897acaba91f2b4c88209b',1,'arm_compute::test::validation']]],
   ['cldepthconvertlayertou8fixture',['CLDepthConvertLayerToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a909e0727b1128c90c5be56db27e93670',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerfixture',['CLDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3b4fdd4e87ff1c0b97c9844a26307eb9',1,'arm_compute::test::benchmark::CLDepthwiseConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce',1,'arm_compute::test::validation::CLDepthwiseConvolutionLayerFixture()']]],
-  ['cldepthwiseconvolutionlayerfixture3x3',['CLDepthwiseConvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a9bd286acadddcc148429b00ac027d7',1,'arm_compute::test::validation']]],
   ['cldepthwiseconvolutionlayerquantizedfixture',['CLDepthwiseConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af5ad79218ce618faeba270aa32dd6583',1,'arm_compute::test::validation']]],
-  ['cldepthwiseconvolutionlayerquantizedfixture3x3',['CLDepthwiseConvolutionLayerQuantizedFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b6597eabb0e3d07b1cac9fa7c56daa',1,'arm_compute::test::validation']]],
   ['cldepthwiseseparableconvolutionlayerfixture',['CLDepthwiseSeparableConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adc07e82b4049d653c965af2606a7d70f',1,'arm_compute::test::benchmark::CLDepthwiseSeparableConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d8ee70f334bba58e619c86492b9f014',1,'arm_compute::test::validation::CLDepthwiseSeparableConvolutionLayerFixture()']]],
   ['cldequantizationlayerfixture',['CLDequantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a080692d080fe0724e47b2134d903684a',1,'arm_compute::test::benchmark::CLDequantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30b407fe9a284b2478c914e1981c3d47',1,'arm_compute::test::validation::CLDequantizationLayerFixture()']]],
   ['clderivativefixture',['CLDerivativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a920281146f49fbc6b7fb4b54cf65fd7e',1,'arm_compute::test::validation']]],
@@ -67,14 +76,26 @@
   ['cldirectconvolutionlayerfixture',['CLDirectConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aec4903909e875e6a59b538924704e961',1,'arm_compute::test::benchmark::CLDirectConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244',1,'arm_compute::test::validation::CLDirectConvolutionLayerFixture()']]],
   ['cldirectconvolutionvalidationwithtensorshapesfixture',['CLDirectConvolutionValidationWithTensorShapesFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6af2459356e4644f2683ca2dd4b74f01',1,'arm_compute::test::validation']]],
   ['cldirectconvolutionvalidationwithtensorshapesquantizedfixture',['CLDirectConvolutionValidationWithTensorShapesQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a549931d36737e8155fbec8c62e74af35',1,'arm_compute::test::validation']]],
+  ['clelementwisemaxbroadcastfixture',['CLElementwiseMaxBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a884f219533cec92bfee0f7a1d626b62c',1,'arm_compute::test::validation']]],
+  ['clelementwisemaxfixture',['CLElementwiseMaxFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e7919bb6e292418417e018b8290e95f',1,'arm_compute::test::validation']]],
+  ['clelementwisemaxquantizedfixture',['CLElementwiseMaxQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2c60a19f7f4627833a31ca32ec5d8b1',1,'arm_compute::test::validation']]],
+  ['clelementwiseminbroadcastfixture',['CLElementwiseMinBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adbaeb48db56dd0a41e5e60f98eed1ae1',1,'arm_compute::test::validation']]],
+  ['clelementwiseminfixture',['CLElementwiseMinFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a16b2b6dde678ad3c4ba72fb9b54ebcdf',1,'arm_compute::test::validation']]],
+  ['clelementwiseminquantizedfixture',['CLElementwiseMinQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5486c0e964412fe058ec3dd76c53b924',1,'arm_compute::test::validation']]],
+  ['clelementwisesquareddiffbroadcastfixture',['CLElementwiseSquaredDiffBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6c2ef1e913d91050a50463c4890d977d',1,'arm_compute::test::validation']]],
+  ['clelementwisesquareddifffixture',['CLElementwiseSquaredDiffFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac93dffba58280b2ff64ae94f278fd0f4',1,'arm_compute::test::validation']]],
+  ['clelementwisesquareddiffquantizedfixture',['CLElementwiseSquaredDiffQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acb491565f94333d6aecdeb7271b26567',1,'arm_compute::test::validation']]],
+  ['clequal',['CLEqual',['../namespacearm__compute.xhtml#a18e76ae589217a65f77b971de3f3f65a',1,'arm_compute']]],
   ['clequalizehistogramfixture',['CLEqualizeHistogramFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a930114ce85e47d921cce8441bd41385c',1,'arm_compute::test::benchmark::CLEqualizeHistogramFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b19eceae68e1ff29d811a61e51f5cde',1,'arm_compute::test::validation::CLEqualizeHistogramFixture()']]],
   ['clerodefixture',['CLErodeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af30aab5b15cc6fedbad8d4bf4494a801',1,'arm_compute::test::validation']]],
+  ['clexplayerfixture',['CLExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d8eac94a68a9181593785b6aa8e5719',1,'arm_compute::test::validation']]],
   ['clfastcornersfixture',['CLFastCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d6956873131b3bdca39600a58f905a',1,'arm_compute::test::benchmark::CLFastCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23837c7359608bfada46c0d1d6500818',1,'arm_compute::test::validation::CLFastCornersFixture()']]],
   ['clflattenlayerfixture',['CLFlattenLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab64ec4673967dbced533c4f408a2859c',1,'arm_compute::test::benchmark::CLFlattenLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adfae1662a2c0658c753e42045c8dc2ea',1,'arm_compute::test::validation::CLFlattenLayerFixture()']]],
   ['clfloatarray',['CLFloatArray',['../namespacearm__compute.xhtml#a193a4859b365f3ef4e0d73a1e6b12c85',1,'arm_compute']]],
   ['clfloorfixture',['CLFloorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4a14e383a632057e99845c74a72a6454',1,'arm_compute::test::benchmark::CLFloorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af883fa9f2d63cdafcb99f78ce2c37c81',1,'arm_compute::test::validation::CLFloorFixture()']]],
   ['clfullyconnectedlayerfixture',['CLFullyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a',1,'arm_compute::test::benchmark::CLFullyConnectedLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3445246c7cbb16827311a37d22ce8094',1,'arm_compute::test::validation::CLFullyConnectedLayerFixture()']]],
   ['clfullyconnectedlayerquantizedfixture',['CLFullyConnectedLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ecacf87867a268154ad19b322e2cae2',1,'arm_compute::test::validation']]],
+  ['clgatherfixture',['CLGatherFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae361cc82341e68eb36d93aa47fc2d47a',1,'arm_compute::test::validation']]],
   ['clgaussian3x3fixture',['CLGaussian3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac27be9a85d033e4a482fbff9f09e5708',1,'arm_compute::test::validation']]],
   ['clgaussian5x5fixture',['CLGaussian5x5Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aea53a09faa8521bc42baeee9f3bc81ac',1,'arm_compute::test::validation']]],
   ['clgaussianpyramidfixture',['CLGaussianPyramidFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a80bdfbd2f56f1602af16b64dc76a0db4',1,'arm_compute::test::benchmark']]],
@@ -82,19 +103,32 @@
   ['clgemmconvolutionlayerfixture',['CLGEMMConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a834ff3152a662fff46917ed60519aaae',1,'arm_compute::test::benchmark::CLGEMMConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a94a15057a0ff4d88b074dbd787507bfe',1,'arm_compute::test::validation::CLGEMMConvolutionLayerFixture()']]],
   ['clgemmdilatedconvolutionlayerfixture',['CLGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9f5a8c7b313666262640d9bdadea75cf',1,'arm_compute::test::validation']]],
   ['clgemmdilatedconvolutionlayerquantizedfixture',['CLGEMMDilatedConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac214a4380d88dd18fe907a686d29ad56',1,'arm_compute::test::validation']]],
-  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark::CLGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02a82a5e8cc3d3a54da7fd340f9bc81b',1,'arm_compute::test::validation::CLGEMMFixture()']]],
+  ['clgemmfixture',['CLGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd',1,'arm_compute::test::benchmark']]],
   ['clgemminputoutput3dfixture',['CLGEMMInputOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8e33e708dcd8f877cd5b8a9e9bb68017',1,'arm_compute::test::validation']]],
   ['clgemminterleave4x4',['CLGEMMInterleave4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2ba36b2bb455fe3e2c73534ed8b5bee7',1,'arm_compute::test::validation']]],
-  ['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4487a082d102c670f6ee49d3ad48f47c',1,'arm_compute::test::benchmark::CLGEMMInterleave4x4Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation::CLGEMMInterleave4x4Fixture()']]],
+  ['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation']]],
   ['clgemmlowpfixture',['CLGEMMLowpFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa2b528ffcc8ae3f017a4b0fefde56083',1,'arm_compute::test::benchmark']]],
   ['clgemmlowpmatrixmultiplycorefixture',['CLGEMMLowpMatrixMultiplyCoreFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4',1,'arm_compute::test::validation']]],
   ['clgemmlowpmatrixmultiplycoreoutput3dfixture',['CLGEMMLowpMatrixMultiplyCoreOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0968b537944a3c391565d96837b7429',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshaped',['CLGEMMLowpMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a466155694911d5db69f50b4cb56dfbe1',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshaped3dfixture',['CLGEMMLowpMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56cabea40d0a68a8f796020685c384fe',1,'arm_compute::test::validation']]],
+  ['clgemmlowpmatrixmultiplyreshapedfixture',['CLGEMMLowpMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1eabbfb6cceb82af7619ea6fcdea1863',1,'arm_compute::test::validation']]],
   ['clgemmlowpquantizedownint32touint8scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757',1,'arm_compute::test::validation']]],
   ['clgemmlowpquantizedownint32touint8scalefixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50b165b25b7da7df9a788d5d62f48855',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshaped3dfixture',['CLGEMMMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a190fe7a9395c7506255fd387eb1be2',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshapedfixture',['CLGEMMMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a10eacde4892fc6fdb56211ef534edaf6',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture',['CLGEMMOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af493d098e0b392ecf7fd8eab4fa97342',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix',['CLGEMMReshapeLHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a192c089a799e8995532f460afbc8f7ab',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture',['CLGEMMReshapeLHSMatrix3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a670407d9a85f9e7f95ceb2f6131edd8f',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture',['CLGEMMReshapeLHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5421498ced7e1d84398e7089e8676698',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrix',['CLGEMMReshapeRHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a271f3aaba51bc5f0476207e081b5d218',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture',['CLGEMMReshapeRHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8940bafe88f119d432694269bb00b054',1,'arm_compute::test::validation']]],
   ['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c12b8c19f4e7f45756d4a4dcb4c3156',1,'arm_compute::test::validation']]],
   ['clgemmtranspose1xwfixture',['CLGEMMTranspose1xWFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af378f9e131ac6da2262ac5cc56a6d796',1,'arm_compute::test::validation']]],
   ['clglobalpoolinglayerfixture',['CLGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae325848d601b17aee0a81064a15ef1eb',1,'arm_compute::test::validation']]],
+  ['clgreater',['CLGreater',['../namespacearm__compute.xhtml#ab9b18840e11edcbeafcd80d4c44b80cb',1,'arm_compute']]],
+  ['clgreaterequal',['CLGreaterEqual',['../namespacearm__compute.xhtml#ade630074f2c9d58d64c399bd6b49bc56',1,'arm_compute']]],
   ['clharriscornersfixture',['CLHarrisCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc1998a9a2fa8ee46b0858e6bd387669',1,'arm_compute::test::benchmark::CLHarrisCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51437d29fc541897e39c63a80bcf23f9',1,'arm_compute::test::validation::CLHarrisCornersFixture()']]],
   ['clhistogramfixture',['CLHistogramFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad26e0cba82d5e346758d241c3ebecd37',1,'arm_compute::test::benchmark::CLHistogramFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a359bbb7c623ba609211996708840d845',1,'arm_compute::test::validation::CLHistogramFixture()']]],
   ['clhogdescriptorfixture',['CLHOGDescriptorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a524d03a06f807714d5db385da2d10823',1,'arm_compute::test::benchmark::CLHOGDescriptorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b2458f1988cad092a5c80f1bd172c49',1,'arm_compute::test::validation::CLHOGDescriptorFixture()']]],
@@ -110,6 +144,8 @@
   ['cll2normalizelayerfixture',['CLL2NormalizeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac55abdf9cc811a8ce5883f80deac53a3',1,'arm_compute::test::benchmark::CLL2NormalizeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3913286410eb0c1b42f0605442b01934',1,'arm_compute::test::validation::CLL2NormalizeLayerFixture()']]],
   ['cllaplacianpyramidfixture',['CLLaplacianPyramidFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac9026b5d790e0ef296d2444d3fd9d17e',1,'arm_compute::test::benchmark::CLLaplacianPyramidFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d32f94d5f13456e7a5ed6eff49cd88',1,'arm_compute::test::validation::CLLaplacianPyramidFixture()']]],
   ['cllaplacianreconstructfixture',['CLLaplacianReconstructFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a33ccd0c3fcaab9d1bb2c6a20bfd5ec6f',1,'arm_compute::test::benchmark::CLLaplacianReconstructFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a680eae7f8c9f78ab107a0634aaf482c3',1,'arm_compute::test::validation::CLLaplacianReconstructFixture()']]],
+  ['clless',['CLLess',['../namespacearm__compute.xhtml#a8c2c9a77f235807441eacdddd896d50c',1,'arm_compute']]],
+  ['cllessequal',['CLLessEqual',['../namespacearm__compute.xhtml#a258b8c95199c121d8f2a9a540cd48e5e',1,'arm_compute']]],
   ['cllkinternalkeypointarray',['CLLKInternalKeypointArray',['../namespacearm__compute.xhtml#a70997613219641045213b0c12948fb74',1,'arm_compute']]],
   ['cllocallyconnectedfixture',['CLLocallyConnectedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a2346d6ea7c3502acb864cf9dca472',1,'arm_compute::test::validation']]],
   ['cllocallyconnectedlayerfixture',['CLLocallyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a33a2676af30f41e61ad5fb058305f3a1',1,'arm_compute::test::benchmark']]],
@@ -123,10 +159,10 @@
   ['clnormalizationlayerfixture',['CLNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af4f1c6ad288931f07f614316f57ed63b',1,'arm_compute::test::benchmark::CLNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63b510b6111d8c5cc66a49d0ea847645',1,'arm_compute::test::validation::CLNormalizationLayerFixture()']]],
   ['clnormalizeplanaryuvlayerfixture',['CLNormalizePlanarYUVLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fa89c82a793c2c906021cd0dd4775fc',1,'arm_compute::test::validation']]],
   ['clnormalizeplanaryuvlayerquantizedfixture',['CLNormalizePlanarYUVLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad981f5e247a2626e51d6dd8f6765a56e',1,'arm_compute::test::validation']]],
+  ['clnotequal',['CLNotEqual',['../namespacearm__compute.xhtml#aea3e261c61344f44892f8be73cfc0301',1,'arm_compute']]],
   ['cloldvaluearray',['CLOldValueArray',['../namespacearm__compute.xhtml#a4ec6965f606c588137f7a48d84c1d6f0',1,'arm_compute']]],
   ['clopticalflowfixture',['CLOpticalFlowFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab80372fccf247db8e6b03be50d30f998',1,'arm_compute::test::benchmark::CLOpticalFlowFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8871cf83ebfc2531763eb2a479f35f22',1,'arm_compute::test::validation::CLOpticalFlowFixture()']]],
   ['clpaddingfixture',['CLPaddingFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2531ad4bbf480274d39db11df46bddd1',1,'arm_compute::test::validation']]],
-  ['clpermutefixture',['CLPermuteFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a422b5e1fb5024793f870f0a76a229b1f',1,'arm_compute::test::validation']]],
   ['clphasefixture',['CLPhaseFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af781f3df34d05ef8a8844e8df2981c2a',1,'arm_compute::test::benchmark::CLPhaseFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c003b7877a52b0e11ed91ff494339f8',1,'arm_compute::test::validation::CLPhaseFixture()']]],
   ['clpixelwisemultiplicationbroadcastfixture',['CLPixelWiseMultiplicationBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a496f5db93be5fe78ac59164998261574',1,'arm_compute::test::validation']]],
   ['clpixelwisemultiplicationquantizedfixture',['CLPixelWiseMultiplicationQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e008fd627ebd7cde15f1af359752a6e',1,'arm_compute::test::validation']]],
@@ -135,17 +171,20 @@
   ['clpoolinglayerfixture',['CLPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d',1,'arm_compute::test::benchmark::CLPoolingLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcc3bdbd96fb09bd8bd54c9d9593c606',1,'arm_compute::test::validation::CLPoolingLayerFixture()']]],
   ['clpriorboxlayerfixture',['CLPriorBoxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81ff254724c5bf7068fa0cc849a4e17c',1,'arm_compute::test::validation']]],
   ['clquantizationlayerfixture',['CLQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac461a441f4499be7e2a387fe2498f68a',1,'arm_compute::test::benchmark::CLQuantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe17242ac54a18f05073a7c6931377b7',1,'arm_compute::test::validation::CLQuantizationLayerFixture()']]],
+  ['clrangefixture',['CLRangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a093d44ee693551080f98f1021e823405',1,'arm_compute::test::validation']]],
   ['clreducemeanfixture',['CLReduceMeanFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25622ae4316bb767071e74f2c3424fcb',1,'arm_compute::test::validation']]],
   ['clreductionoperationfixture',['CLReductionOperationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ad6319a33abd7333640c9112c520814',1,'arm_compute::test::validation']]],
   ['clremapfixture',['CLRemapFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac931fc0d50d887afa5d8d03e78bcc4d2',1,'arm_compute::test::benchmark::CLRemapFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ff3e38c0f26ed6bd162809102f3e52c',1,'arm_compute::test::validation::CLRemapFixture()']]],
   ['clreorglayerfixture',['CLReorgLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa77bbf045e6fe158653a33dd3db1bc91',1,'arm_compute::test::validation']]],
   ['clreshapelayerfixture',['CLReshapeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0c87b6e6cf855997c13a3658e1de4cfe',1,'arm_compute::test::benchmark::CLReshapeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acf6e85d8c1d1cb22c2257d3008df5866',1,'arm_compute::test::validation::CLReshapeLayerFixture()']]],
+  ['clreversefixture',['CLReverseFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae32032b4875a0fe7570d57940247a9bc',1,'arm_compute::test::validation']]],
   ['clrnnlayerfixture',['CLRNNLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3fe7c48d81f7a47f8c66014daac1e9d',1,'arm_compute::test::validation']]],
   ['clroialignlayerfixture',['CLROIAlignLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4460c5f824eeec0b634be6985551e8d',1,'arm_compute::test::validation']]],
-  ['clroiarray',['CLROIArray',['../namespacearm__compute.xhtml#a7d756aef16b9c22456bb7aca8fbb4f4c',1,'arm_compute']]],
-  ['clroipoolinglayerfixture',['CLROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a7a7c5d8bc260335981ea0da5cf769f27',1,'arm_compute::test::benchmark']]],
+  ['clroipoolinglayerfixture',['CLROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a2a2d199bdbc64e1c80e1096b12bcde1a',1,'arm_compute::test::benchmark']]],
+  ['clrsqrtlayerfixture',['CLRsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2aee958d09568156d81e704650499923',1,'arm_compute::test::validation']]],
   ['clscalefixture',['CLScaleFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa3b2039094c0b6ad71ddcc7cbee9033b',1,'arm_compute::test::benchmark::CLScaleFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7c041e59e49d4ca416b7e060f0907c33',1,'arm_compute::test::validation::CLScaleFixture()']]],
   ['clscharr3x3fixture',['CLScharr3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afcc0e93c642a2eacf8eba2c1d238ef58',1,'arm_compute::test::validation']]],
+  ['clselectfixture',['CLSelectFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a88d60b720e853a18bb3f19d3e001384e',1,'arm_compute::test::validation']]],
   ['clseparableconvolution5x5horkernel',['CLSeparableConvolution5x5HorKernel',['../namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c',1,'arm_compute']]],
   ['clseparableconvolution5x5vertkernel',['CLSeparableConvolution5x5VertKernel',['../namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c',1,'arm_compute']]],
   ['clseparableconvolution7x7horkernel',['CLSeparableConvolution7x7HorKernel',['../namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004',1,'arm_compute']]],
@@ -162,13 +201,16 @@
   ['clspacetobatchlayerfixture',['CLSpaceToBatchLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a0db6fb959881302517937590f66b2',1,'arm_compute::test::validation']]],
   ['clspecialpoolinglayerfixture',['CLSpecialPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a51ed50eaac66cb6850e931493f74ca84',1,'arm_compute::test::validation']]],
   ['clsplitfixture',['CLSplitFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af677be2cf1bacfa405863a3405a41394',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture',['CLStackLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a074cf3579b7e75a0ea54b33ccc0c2804',1,'arm_compute::test::validation']]],
   ['clstridedslicefixture',['CLStridedSliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c8faa37e173b43c9bd9f649ad48a627',1,'arm_compute::test::validation']]],
   ['cltablelookupfixture',['CLTableLookupFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab53aa84a955175e43e01b363543ca187',1,'arm_compute::test::validation']]],
   ['clthresholdfixture',['CLThresholdFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9deab641340512bb1abd750e738a5971',1,'arm_compute::test::validation']]],
+  ['cltilefixture',['CLTileFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f67ae0a706875264f1f149937d620f2',1,'arm_compute::test::validation']]],
   ['cltransposefixture',['CLTransposeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aee40d6d157ed73301d842c298433f96c',1,'arm_compute::test::benchmark::CLTransposeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf710edc5f232dfda74bace6236a4ae1',1,'arm_compute::test::validation::CLTransposeFixture()']]],
   ['cluint16array',['CLUInt16Array',['../namespacearm__compute.xhtml#a7b4c4a79c73a3f85ba89aff03fddefa7',1,'arm_compute']]],
   ['cluint32array',['CLUInt32Array',['../namespacearm__compute.xhtml#a1d7d89b7e990055dc95ed37dfb24da48',1,'arm_compute']]],
   ['cluint8array',['CLUInt8Array',['../namespacearm__compute.xhtml#aa031694bb03711e09e25546ad2b643cc',1,'arm_compute']]],
+  ['clunstackfixture',['CLUnstackFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f',1,'arm_compute::test::validation']]],
   ['clupsamplelayerfixture',['CLUpsampleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60652a14a577204b0579615f6a49d2b',1,'arm_compute::test::validation']]],
   ['clwarpaffinefixture',['CLWarpAffineFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9d68bf8c09cd1516a816026d08f00a01',1,'arm_compute::test::benchmark::CLWarpAffineFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb43751599ae8ecc52e815ad6bab4cb4',1,'arm_compute::test::validation::CLWarpAffineFixture()']]],
   ['clwarpperspectivefixture',['CLWarpPerspectiveFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3cea39d0f1aa15c16d5679eda7fb1bfa',1,'arm_compute::test::validation']]],
@@ -184,12 +226,13 @@
   ['clwinogradinputtransformfixturefp32',['CLWinogradInputTransformFixtureFP32',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5006f4ae83f95b92ff1d606c7f0e547',1,'arm_compute::test::validation']]],
   ['clwinogradlayerfixture',['CLWinogradLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5d95b818519b5889e077646206bf30f8',1,'arm_compute::test::benchmark']]],
   ['clwinogradoutputtransform',['CLWinogradOutputTransform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2dd717bab37b161a6c1e63a76549d024',1,'arm_compute::test::validation']]],
-  ['clwinogradoutputtransformfixturefp16',['CLWinogradOutputTransformFixtureFP16',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d54d7637e51053560f04d1197c9e5fa',1,'arm_compute::test::validation']]],
+  ['clwinogradoutputtransformfixturefp16',['CLWinogradOutputTransformFixtureFP16',['../namespacearm__compute_1_1test_1_1validation.xhtml#aad28e54b6547276f5fc9b9a628e3c830',1,'arm_compute::test::validation']]],
   ['clwinogradoutputtransformfixturefp32',['CLWinogradOutputTransformFixtureFP32',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0c30cd627b86f144191c17519e3ba2a',1,'arm_compute::test::validation']]],
   ['clyololayerfixture',['CLYOLOLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aba0e0cc624f6d2c24c5d010281b6daa8',1,'arm_compute::test::validation']]],
   ['common_5ftype',['common_type',['../structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml#a5dc4a681965ff1118a0491b07867c032',1,'arm_compute::test::common_promoted_signed_type::common_type()'],['../structarm__compute_1_1test_1_1common__promoted__unsigned__type.xhtml#a5dc4a681965ff1118a0491b07867c032',1,'arm_compute::test::common_promoted_unsigned_type::common_type()']]],
   ['const_5fptr_5ft',['const_ptr_t',['../namespacearm__compute.xhtml#a926fa1a0e7fd320cff5ba6c6f62f463b',1,'arm_compute']]],
   ['coordinates2d',['Coordinates2D',['../src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml#a01e5153f1ee101314312c0885a1dc968',1,'types.h']]],
   ['coordinates2darray',['Coordinates2DArray',['../namespacearm__compute.xhtml#a327abccf7b43aa32d6a24319b986f3ab',1,'arm_compute']]],
+  ['cppnonmaxsuppressionfixture',['CPPNonMaxSuppressionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2882bc85c351392ea7a603f3a3e1e499',1,'arm_compute::test::validation']]],
   ['cpppermutefixture',['CPPPermuteFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71110c6b6b5d2b8f7f0da672a37aa7c3',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/typedefs_4.html b/documentation/search/typedefs_4.html
index be033cd..ac1372a 100644
--- a/documentation/search/typedefs_4.html
+++ b/documentation/search/typedefs_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_4.js b/documentation/search/typedefs_4.js
index 25bcfa7..26ab58f 100644
--- a/documentation/search/typedefs_4.js
+++ b/documentation/search/typedefs_4.js
@@ -1,5 +1,6 @@
 var searchData=
 [
   ['detectionwindow',['DetectionWindow',['../src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml#a978d6d1943577669ebbb535f9e4f284f',1,'types.h']]],
-  ['detectionwindowarray',['DetectionWindowArray',['../namespacearm__compute.xhtml#a5fe01ab895629edd84a511b56657d79e',1,'arm_compute']]]
+  ['detectionwindowarray',['DetectionWindowArray',['../namespacearm__compute.xhtml#a5fe01ab895629edd84a511b56657d79e',1,'arm_compute']]],
+  ['dt',['DT',['../classarm__compute_1_1utils_1_1random_1_1_ranged_uniform_distribution.xhtml#ad73e6ce8150dae7eb9e0d4bdb85f3eea',1,'arm_compute::utils::random::RangedUniformDistribution']]]
 ];
diff --git a/documentation/search/typedefs_5.html b/documentation/search/typedefs_5.html
index e10c325..77b3890 100644
--- a/documentation/search/typedefs_5.html
+++ b/documentation/search/typedefs_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_5.js b/documentation/search/typedefs_5.js
index 5cbdf8f..c258837 100644
--- a/documentation/search/typedefs_5.js
+++ b/documentation/search/typedefs_5.js
@@ -13,6 +13,8 @@
   ['eglquerystring_5ffunc',['eglQueryString_func',['../_open_g_l_e_s_8cpp.xhtml#ac02a0be24c3d1f37e5983f057355b192',1,'OpenGLES.cpp']]],
   ['eglterminate_5ffunc',['eglTerminate_func',['../_open_g_l_e_s_8cpp.xhtml#ab45761847d030754739c1b3b63cdbeab',1,'OpenGLES.cpp']]],
   ['elem_5ftype_5ft',['elem_type_t',['../namespacearm__compute.xhtml#a534a101b6176c3e065eba4b4cde7a40e',1,'arm_compute']]],
+  ['elementwisefunction',['ElementwiseFunction',['../classarm__compute_1_1_n_e_elementwise_operation_kernel.xhtml#aa5fcf9ebe19c4a2282c79ced2ac72096',1,'arm_compute::NEElementwiseOperationKernel']]],
+  ['elementwiseunaryfunction',['ElementwiseUnaryFunction',['../classarm__compute_1_1_n_e_elementwise_unary_kernel.xhtml#a1f1d3e1890cb945fc3a5fafbb5d93ec2',1,'arm_compute::NEElementwiseUnaryKernel']]],
   ['exacttagtype',['ExactTagType',['../structarm__compute_1_1detail_1_1linear.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::linear::ExactTagType()'],['../structarm__compute_1_1detail_1_1square.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::square::ExactTagType()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::logistic::ExactTagType()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::relu::ExactTagType()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::brelu::ExactTagType()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a2eb8ae9edbcaa2ffa10e954e92d298d1',1,'arm_compute::detail::lubrelu::ExactTagType()']]],
   ['exacttype',['ExactType',['../structarm__compute_1_1detail_1_1dummy.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::dummy::ExactType()'],['../structarm__compute_1_1detail_1_1linear.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::linear::ExactType()'],['../structarm__compute_1_1detail_1_1square.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::square::ExactType()'],['../structarm__compute_1_1detail_1_1logistic.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::logistic::ExactType()'],['../structarm__compute_1_1detail_1_1relu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::relu::ExactType()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::brelu::ExactType()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a0492e57b9f86c67a4aa57998e260720f',1,'arm_compute::detail::lubrelu::ExactType()'],['../structarm__compute_1_1misc_1_1_c_r_t_p.xhtml#a338528dd60e909145fcb3bbd65e50df6',1,'arm_compute::misc::CRTP::ExactType()']]]
 ];
diff --git a/documentation/search/typedefs_6.html b/documentation/search/typedefs_6.html
index 4e206e8..978358f 100644
--- a/documentation/search/typedefs_6.html
+++ b/documentation/search/typedefs_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_7.html b/documentation/search/typedefs_7.html
index cc182ee..3f6730a 100644
--- a/documentation/search/typedefs_7.html
+++ b/documentation/search/typedefs_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_8.html b/documentation/search/typedefs_8.html
index 9379676..dbf5012 100644
--- a/documentation/search/typedefs_8.html
+++ b/documentation/search/typedefs_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_9.html b/documentation/search/typedefs_9.html
index 6f2b9ea..c8d0b5b 100644
--- a/documentation/search/typedefs_9.html
+++ b/documentation/search/typedefs_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_9.js b/documentation/search/typedefs_9.js
index 199eef1..d86b028 100644
--- a/documentation/search/typedefs_9.js
+++ b/documentation/search/typedefs_9.js
@@ -10,7 +10,6 @@
   ['iclkeypointarray',['ICLKeyPointArray',['../namespacearm__compute.xhtml#adb969f0e554bf563f2fa671399d59280',1,'arm_compute']]],
   ['icllkinternalkeypointarray',['ICLLKInternalKeypointArray',['../namespacearm__compute.xhtml#a569a32a7a853d4708fd4f4840c88a157',1,'arm_compute']]],
   ['icloldvalarray',['ICLOldValArray',['../namespacearm__compute.xhtml#a0339a19c93dde6754834a7d4ec7dab73',1,'arm_compute']]],
-  ['iclroiarray',['ICLROIArray',['../namespacearm__compute.xhtml#a64e11fcdd0f4a3f7d832495b7053fbe9',1,'arm_compute']]],
   ['iclsize2darray',['ICLSize2DArray',['../namespacearm__compute.xhtml#a68396eee600b3d23bf7f95a802e65dff',1,'arm_compute']]],
   ['icluint16array',['ICLUInt16Array',['../namespacearm__compute.xhtml#aed5c7222c31a34327f00de37d8c4f4fc',1,'arm_compute']]],
   ['icluint32array',['ICLUInt32Array',['../namespacearm__compute.xhtml#a6b5f839e8d27c6351e8d58812dd46c97',1,'arm_compute']]],
@@ -32,7 +31,6 @@
   ['int32array',['Int32Array',['../namespacearm__compute.xhtml#a6af9862834629c287a81b16837b51e44',1,'arm_compute']]],
   ['intermediate_5ftype',['intermediate_type',['../structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml#a6d8309776a9cb10567df1735666919ff',1,'arm_compute::test::common_promoted_signed_type::intermediate_type()'],['../structarm__compute_1_1test_1_1common__promoted__unsigned__type.xhtml#a2d90fb6b02a4ec5df8c995eb66b5d724',1,'arm_compute::test::common_promoted_unsigned_type::intermediate_type()']]],
   ['internalkeypoint',['InternalKeypoint',['../namespacearm__compute.xhtml#a2ab89a5d0959531aac270879cdd3ed78',1,'arm_compute::InternalKeypoint()'],['../optical__flow__pyramid__lk_8cl.xhtml#ad3a2575d8a9005ddf8ce79dda76918f8',1,'InternalKeypoint():&#160;optical_flow_pyramid_lk.cl']]],
-  ['iroiarray',['IROIArray',['../namespacearm__compute.xhtml#ae273be451a4d6de5fa255cb8fb09a64b',1,'arm_compute']]],
   ['isize2darray',['ISize2DArray',['../namespacearm__compute.xhtml#a32e4b9083329486a06960006af89a84c',1,'arm_compute']]],
   ['itensoraccessoruptr',['ITensorAccessorUPtr',['../namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676',1,'arm_compute::graph']]],
   ['iuint16array',['IUInt16Array',['../namespacearm__compute.xhtml#a1ffe8af91a934c926d102938db8d3ce1',1,'arm_compute']]],
diff --git a/documentation/search/typedefs_a.html b/documentation/search/typedefs_a.html
index b897e1c..2829b7a 100644
--- a/documentation/search/typedefs_a.html
+++ b/documentation/search/typedefs_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_b.html b/documentation/search/typedefs_b.html
index 23bfdac..4460911 100644
--- a/documentation/search/typedefs_b.html
+++ b/documentation/search/typedefs_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_b.js b/documentation/search/typedefs_b.js
index 666dfd5..4b743ab 100644
--- a/documentation/search/typedefs_b.js
+++ b/documentation/search/typedefs_b.js
@@ -1,4 +1,5 @@
 var searchData=
 [
+  ['labelbbox',['LabelBBox',['../namespacearm__compute.xhtml#a668a7893195a4a08c4d26afd2b15a6b4',1,'arm_compute']]],
   ['lkinternalkeypointarray',['LKInternalKeypointArray',['../namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab',1,'arm_compute']]]
 ];
diff --git a/documentation/search/typedefs_c.html b/documentation/search/typedefs_c.html
index 28f5aad..520fe6e 100644
--- a/documentation/search/typedefs_c.html
+++ b/documentation/search/typedefs_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_c.js b/documentation/search/typedefs_c.js
index 94673cd..53869d2 100644
--- a/documentation/search/typedefs_c.js
+++ b/documentation/search/typedefs_c.js
@@ -5,5 +5,6 @@
   ['measurementsmap',['MeasurementsMap',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#afc7df496e6026b91c3f48da6821c86a9',1,'arm_compute::test::framework::Instrument::MeasurementsMap()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a06c89e23a39ce6f2e8e8a1de5bb7002a',1,'arm_compute::test::framework::Profiler::MeasurementsMap()']]],
   ['memorygroup',['MemoryGroup',['../namespacearm__compute.xhtml#a0e7a03e2e133cb1fbb12517a3f646a09',1,'arm_compute']]],
   ['memorymappings',['MemoryMappings',['../namespacearm__compute.xhtml#a43b7da220a8ead83acff98f218f7eb6b',1,'arm_compute']]],
+  ['multiples',['Multiples',['../namespacearm__compute.xhtml#afe9e10e5fdfd1e2665ac17c75c0cacd8',1,'arm_compute']]],
   ['mutex',['Mutex',['../namespacearm__compute.xhtml#acded863dbfdd730829d4188d67eefcf0',1,'arm_compute']]]
 ];
diff --git a/documentation/search/typedefs_d.html b/documentation/search/typedefs_d.html
index 1579482..19062b2 100644
--- a/documentation/search/typedefs_d.html
+++ b/documentation/search/typedefs_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_d.js b/documentation/search/typedefs_d.js
index b5bec55..8f24c97 100644
--- a/documentation/search/typedefs_d.js
+++ b/documentation/search/typedefs_d.js
@@ -6,7 +6,7 @@
   ['neaccumulateweightedfixture',['NEAccumulateWeightedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a651f6bbf349f8b86316966d62a44d641',1,'arm_compute::test::validation']]],
   ['neaccumulateweightedfp16kernel',['NEAccumulateWeightedFP16Kernel',['../namespacearm__compute.xhtml#aff99c045b07329b332b1cb97a2dd1518',1,'arm_compute']]],
   ['neactivationlayerfixture',['NEActivationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeded391cb7ec7a44c41eb23544265894',1,'arm_compute::test::benchmark::NEActivationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7258f5d5659c3a7b8a7374ca7aca168b',1,'arm_compute::test::validation::NEActivationLayerFixture()']]],
-  ['neactivationlayerquantizedfixture',['NEActivationLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab85a320f97232f409a3cd701c4ea613f',1,'arm_compute::test::validation']]],
+  ['neargminmaxvalidationfixture',['NEArgMinMaxValidationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa0528c7bea5cf2459c16d15e8418045',1,'arm_compute::test::validation']]],
   ['nearithmeticadditionbroadcastfixture',['NEArithmeticAdditionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b473473a8a5efa4ea820bb63854b4c',1,'arm_compute::test::validation']]],
   ['nearithmeticadditionfixture',['NEArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab88f79f12b1e2f38ca362ae50c7667c5',1,'arm_compute::test::validation']]],
   ['nearithmeticsubtractionbroadcastfixture',['NEArithmeticSubtractionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0eb084fb3459d7b924f2fcc423cc1654',1,'arm_compute::test::validation']]],
@@ -19,10 +19,10 @@
   ['nebox3x3fixture',['NEBox3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a471c06558365a34e9febb387d96ba917',1,'arm_compute::test::validation']]],
   ['nebox3x3fp16kernel',['NEBox3x3FP16Kernel',['../namespacearm__compute.xhtml#a96f7f6f98dc47e0dc3b928bf87397ebf',1,'arm_compute']]],
   ['necannyedgefixture',['NECannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a12b54c51101bcd1abb70339b8f13ec0b',1,'arm_compute::test::benchmark::NECannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c9d15fd8600e0383550f5a8438d8f4',1,'arm_compute::test::validation::NECannyEdgeFixture()']]],
-  ['nechannelcombinefixture',['NEChannelCombineFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d8b7240e257828d0c3a662f213ea66',1,'arm_compute::test::validation']]],
   ['nechannelextractfixture',['NEChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea17e00c8ddea1beff5ad9d1c544ca',1,'arm_compute::test::validation']]],
   ['nechannelshufflelayerfixture',['NEChannelShuffleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aae3332dae1ba339c51fcf669bb641786',1,'arm_compute::test::validation']]],
   ['necolorconvertfixture',['NEColorConvertFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8fb396866bcf9936ff357f16a871325',1,'arm_compute::test::benchmark::NEColorConvertFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae33301a680563529b6c78984161efd47',1,'arm_compute::test::validation::NEColorConvertFixture()']]],
+  ['necomparisonfixture',['NEComparisonFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa71262a9ebd3a16714744c25f9cb7dfb',1,'arm_compute::test::validation']]],
   ['neconvertfullyconnectedweightsfixture',['NEConvertFullyConnectedWeightsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67b53a9baee529f30a4de8cd833f6bd5',1,'arm_compute::test::validation']]],
   ['neconvolution3x3kernel',['NEConvolution3x3Kernel',['../namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520',1,'arm_compute']]],
   ['neconvolution5x5',['NEConvolution5x5',['../namespacearm__compute.xhtml#adbc7771d367ba8f51da1450d3602e5c0',1,'arm_compute']]],
@@ -37,8 +37,11 @@
   ['nedeconvolutionlayerfixture3x3',['NEDeconvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f11ca8ba5bd1808affd7cb00cd6ec70',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture4x4',['NEDeconvolutionLayerFixture4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc7e218231a8128f71ecf1beaef1b9c5',1,'arm_compute::test::validation']]],
   ['nedepthconcatenatelayerfixture',['NEDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1621ae0b84d28f536bf10b0b8667ea7',1,'arm_compute::test::benchmark::NEDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2edd00299986f6f9945504cb6af06c21',1,'arm_compute::test::validation::NEDepthConcatenateLayerFixture()']]],
+  ['nedepthconvertlayerquantizedtof16fixture',['NEDepthConvertLayerQuantizedToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa00a28e95c442493cb666d16f8637152',1,'arm_compute::test::validation']]],
+  ['nedepthconvertlayerquantizedtof32fixture',['NEDepthConvertLayerQuantizedToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a83baad410b6bf781d1556dd63d23a267',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertof16fixture',['NEDepthConvertLayerToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9912c7aa7d6317c121432c965507fd83',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertof32fixture',['NEDepthConvertLayerToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a12516d34a371038fdaf705939f07ca15',1,'arm_compute::test::validation']]],
+  ['nedepthconvertlayertoqasymm8fixture',['NEDepthConvertLayerToQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ed17ec92926b05f647ae5dc75f18397',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos16fixture',['NEDepthConvertLayerToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc0479e4b3b5d92ec9584c946ed7beac',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos32fixture',['NEDepthConvertLayerToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aec2e7679decb05eca751a7ad3fe1c310',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertou16fixture',['NEDepthConvertLayerToU16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7bdd0e5c783a3f52e81684790167411',1,'arm_compute::test::validation']]],
@@ -51,14 +54,28 @@
   ['nederivativefixture',['NEDerivativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a96e120f5a75a3dc33a232afa64a69aef',1,'arm_compute::test::validation']]],
   ['nedilatefixture',['NEDilateFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6e74dc06dfe494d48cfdca066b4cf4b6',1,'arm_compute::test::validation']]],
   ['nedirectconvolutionlayerfixture',['NEDirectConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a116453711046ea5a00c6124e5609d593',1,'arm_compute::test::benchmark::NEDirectConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9969002af02172f58bcbc59fcb319c1',1,'arm_compute::test::validation::NEDirectConvolutionLayerFixture()']]],
+  ['neelementwisedivisionbroadcastfixture',['NEElementwiseDivisionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a521d8ce368f3d6f7dfd2b3a8691bdde7',1,'arm_compute::test::validation']]],
+  ['neelementwisedivisionfixture',['NEElementwiseDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af870e2bc2cca46d65575d398b3345dc8',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxbroadcastfixture',['NEElementwiseMaxBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f33c1788f556dbd34036cf3b55ef28b',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxfixture',['NEElementwiseMaxFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afa109a35360e38dd7e91295c481d12d3',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxquantizedbroadcastfixture',['NEElementwiseMaxQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd505297932b7ea36fffa027645961cf',1,'arm_compute::test::validation']]],
+  ['neelementwiseminbroadcastfixture',['NEElementwiseMinBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae991b82e51457688013447988f6d9242',1,'arm_compute::test::validation']]],
+  ['neelementwiseminfixture',['NEElementwiseMinFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e8194971e2ba3ce23eec740c07887d8',1,'arm_compute::test::validation']]],
+  ['neelementwiseminquantizedbroadcastfixture',['NEElementwiseMinQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a122cc1991a6d386c4f82e941a00f0299',1,'arm_compute::test::validation']]],
+  ['neelementwisesquareddiffbroadcastfixture',['NEElementwiseSquaredDiffBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ea80579879fc45f838ea824f3394dca',1,'arm_compute::test::validation']]],
+  ['neelementwisesquareddifffixture',['NEElementwiseSquaredDiffFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a770f93006059e614d72ce3868caabc8e',1,'arm_compute::test::validation']]],
+  ['neelementwisesquareddiffquantizedbroadcastfixture',['NEElementwiseSquaredDiffQuantizedBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac6b15b22977babd3e2e45ff01277b518',1,'arm_compute::test::validation']]],
+  ['neequal',['NEEqual',['../namespacearm__compute.xhtml#a8fdefd8ed8639758d0aa6c68087d55e6',1,'arm_compute']]],
   ['neequalizehistogramfixture',['NEEqualizeHistogramFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3cf6dfbf1040f107efd660a7765d84b2',1,'arm_compute::test::benchmark::NEEqualizeHistogramFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6eecc6a5a423f7338832b24d7a0a4dc2',1,'arm_compute::test::validation::NEEqualizeHistogramFixture()']]],
   ['neerodefixture',['NEErodeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0d3518608e2134e3f1f1dce60046dd67',1,'arm_compute::test::validation']]],
+  ['neexplayerfixture',['NEExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7413e0006a89e3800dfb32f37acf4f61',1,'arm_compute::test::validation']]],
   ['nefastcornersfixture',['NEFastCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1581c9fcc096df47331b37ded983d029',1,'arm_compute::test::benchmark::NEFastCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a91c3c0dac7b566f39e6dc2012772c6c7',1,'arm_compute::test::validation::NEFastCornersFixture()']]],
   ['neflattenlayerfixture',['NEFlattenLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a00e95983de8e4d699d9f2b7fb64fcb43',1,'arm_compute::test::validation']]],
   ['nefllattenlayerfixture',['NEFllattenLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a12c22e67a6e40a0e6fbfd0353693e38c',1,'arm_compute::test::benchmark']]],
   ['nefloorfixture',['NEFloorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac8cf6873b0e9ac7334bcbc042fdc5f02',1,'arm_compute::test::benchmark::NEFloorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6cc35d5c6f16df2aa67e16246b4ee0e3',1,'arm_compute::test::validation::NEFloorFixture()']]],
   ['nefullyconnectedlayerfixture',['NEFullyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c',1,'arm_compute::test::benchmark::NEFullyConnectedLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac1dda3b239ddb1b75dfef19d74a0220',1,'arm_compute::test::validation::NEFullyConnectedLayerFixture()']]],
   ['nefullyconnectedlayerquantizedfixture',['NEFullyConnectedLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e50c66f3a529884a6e0c67bcd67172a',1,'arm_compute::test::validation']]],
+  ['negatherfixture',['NEGatherFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7218fc6b111c30ebe3b1be3fbb2e03ea',1,'arm_compute::test::validation']]],
   ['negaussian3x3fixture',['NEGaussian3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a07e868b4ae46180f9a256a13b0b0921a',1,'arm_compute::test::validation']]],
   ['negaussian5x5fixture',['NEGaussian5x5Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b118c770168493f8f26ece3b49d437b',1,'arm_compute::test::validation']]],
   ['negaussianpyramidfixture',['NEGaussianPyramidFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a844335d196efa66ff66ceb7724202a40',1,'arm_compute::test::benchmark']]],
@@ -66,12 +83,10 @@
   ['negemmassemblyfixture_5fs8',['NEGEMMAssemblyFixture_S8',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a3ba835cab60c32a83400ab9b6dd3d5',1,'arm_compute::test::validation']]],
   ['negemmassemblyfixture_5fu8',['NEGEMMAssemblyFixture_U8',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81a5e6a019eb49bf186adbae0baa7325',1,'arm_compute::test::validation']]],
   ['negemmconvolutionlayerfixture',['NEGEMMConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e36e58a8ee401995f556ef9d4a5ce80',1,'arm_compute::test::benchmark::NEGEMMConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d7f0321e91f8b48ec2b198ccf4149a8',1,'arm_compute::test::validation::NEGEMMConvolutionLayerFixture()']]],
-  ['negemmconvolutionlayerquantizedfixture',['NEGEMMConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d2a81298b3e14177809c912f7a4adb9',1,'arm_compute::test::validation']]],
   ['negemmdilatedconvolutionlayerfixture',['NEGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a722e55d9c28cf9790e76e2d9e475dc',1,'arm_compute::test::validation']]],
-  ['negemmdilatedconvolutionlayerquantizedfixture',['NEGEMMDilatedConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa26709059eabee7745359affb021c8b2',1,'arm_compute::test::validation']]],
-  ['negemmfixture',['NEGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d',1,'arm_compute::test::benchmark::NEGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70bc5be1a91942b87f6992b37f87b62e',1,'arm_compute::test::validation::NEGEMMFixture()']]],
+  ['negemmfixture',['NEGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d',1,'arm_compute::test::benchmark']]],
   ['negemmfixturedisabledc',['NEGEMMFixtureDisabledC',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac61383461f64e2e5873b92f74b8adfee',1,'arm_compute::test::validation']]],
-  ['negemminterleave4x4fixture',['NEGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e7bbde7929dea0e2ced439ff2462b7c',1,'arm_compute::test::benchmark::NEGEMMInterleave4x4Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d580506f47eca41d8ee90dd41ce153',1,'arm_compute::test::validation::NEGEMMInterleave4x4Fixture()']]],
+  ['negemminterleave4x4fixture',['NEGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d580506f47eca41d8ee90dd41ce153',1,'arm_compute::test::validation']]],
   ['negemmlowpfixture',['NEGEMMLowpFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae6b70294fc810b1706aa240ce6488d43',1,'arm_compute::test::benchmark']]],
   ['negemmlowpmatrixmultiplycorefixture',['NEGEMMLowpMatrixMultiplyCoreFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6880410d254bb87a46a663bcdd944bf',1,'arm_compute::test::validation']]],
   ['negemmlowpquantizedownint32touint8scalebyfixedpointfixture',['NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bc691ca26723ad9d84ad9aafb928438',1,'arm_compute::test::validation']]],
@@ -79,6 +94,8 @@
   ['negemmtranspose1xw',['NEGEMMTranspose1xW',['../namespacearm__compute_1_1test_1_1validation.xhtml#adaa0f4b3f66514cee57da32f79467d95',1,'arm_compute::test::validation']]],
   ['negemmtranspose1xwfixture',['NEGEMMTranspose1xWFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6219db870a599effa8bdfbefd78425a5',1,'arm_compute::test::validation']]],
   ['neglobalpoolinglayerfixture',['NEGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a27ba649227f83754a45396109054d60c',1,'arm_compute::test::validation']]],
+  ['negreater',['NEGreater',['../namespacearm__compute.xhtml#a44f1c40220d4ac837899ef5ebf7aaee9',1,'arm_compute']]],
+  ['negreaterequal',['NEGreaterEqual',['../namespacearm__compute.xhtml#aa09ba119a3b8b2950581f7c80e9445b6',1,'arm_compute']]],
   ['neharriscornersfixture',['NEHarrisCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1aa05c5a190c320fbb0e259c9af430d2',1,'arm_compute::test::benchmark::NEHarrisCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a56a25219f8de732328604fce8d0a3ba9',1,'arm_compute::test::validation::NEHarrisCornersFixture()']]],
   ['nehistogramfixture',['NEHistogramFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a31b7ef65a781a1e1f450a62399429a40',1,'arm_compute::test::benchmark::NEHistogramFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3906ad8c18ee51e029986380aba74df8',1,'arm_compute::test::validation::NEHistogramFixture()']]],
   ['nehogdescriptorfixture',['NEHOGDescriptorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a63773af125731f0560e7a368c5bb8f23',1,'arm_compute::test::benchmark::NEHOGDescriptorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a10696a9c7698027ae8284c7759ef9c',1,'arm_compute::test::validation::NEHOGDescriptorFixture()']]],
@@ -89,6 +106,8 @@
   ['nel2normalizelayerfixture',['NEL2NormalizeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9322f578852dc5883cd3b5b32729ee06',1,'arm_compute::test::benchmark::NEL2NormalizeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80d4f9b7949be4cf05c58ec5054f8e57',1,'arm_compute::test::validation::NEL2NormalizeLayerFixture()']]],
   ['nelaplacianpyramidfixture',['NELaplacianPyramidFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa6907ba9ff5cd0b4fb180075441de63e',1,'arm_compute::test::benchmark::NELaplacianPyramidFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f04bf44f9673960180954e26f64397a',1,'arm_compute::test::validation::NELaplacianPyramidFixture()']]],
   ['nelaplacianreconstructfixture',['NELaplacianReconstructFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adaede2237f2b5b994d807322750e6292',1,'arm_compute::test::benchmark::NELaplacianReconstructFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d37455e887a5d56608c70376bb1fb04',1,'arm_compute::test::validation::NELaplacianReconstructFixture()']]],
+  ['neless',['NELess',['../namespacearm__compute.xhtml#a36ae4d66ca830f6aeef54964b0c31fd3',1,'arm_compute']]],
+  ['nelessequal',['NELessEqual',['../namespacearm__compute.xhtml#ab10ab37a597594e7aabec4a067988d37',1,'arm_compute']]],
   ['nelocallyconnectedfixture',['NELocallyConnectedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f1fc28d86f355264e2ba0bcbad1168',1,'arm_compute::test::validation']]],
   ['nelocallyconnectedlayerfixture',['NELocallyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1edd9a58741095f0c97dc193c53c8b6f',1,'arm_compute::test::benchmark']]],
   ['nelstmlayerfixture',['NELSTMLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f5c71c0eb504e2498e1358721dc1e17',1,'arm_compute::test::validation']]],
@@ -99,9 +118,13 @@
   ['nenonlinearfilterfixture',['NENonLinearFilterFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adb5d3c20c5232c33ef76501d67210c88',1,'arm_compute::test::validation']]],
   ['nenonmaximasuppression3x3fp16kernel',['NENonMaximaSuppression3x3FP16Kernel',['../namespacearm__compute.xhtml#a38cad49e6beaef76bc1ec5064c9e9dba',1,'arm_compute']]],
   ['nenormalizationlayerfixture',['NENormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc2c4764a300b505b50e9ba0642eff2b',1,'arm_compute::test::benchmark::NENormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6e2f3cc376247a7468710f62fe85229b',1,'arm_compute::test::validation::NENormalizationLayerFixture()']]],
+  ['nenotequal',['NENotEqual',['../namespacearm__compute.xhtml#a732ac47723cd850cc5ffa208bc3e3b00',1,'arm_compute']]],
+  ['neon_5fbitvector_5ft',['neon_bitvector_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#ad302081ac4baa4f94e7628d84421052c',1,'arm_compute::wrapper::traits']]],
+  ['neon_5fbitvector_5ftag_5ft',['neon_bitvector_tag_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#acf6b3be295be8dbd7897536bcd7561a3',1,'arm_compute::wrapper::traits']]],
   ['neon_5fvector_5ft',['neon_vector_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#a20782de3fa029b3c94a67c493f7cb6b9',1,'arm_compute::wrapper::traits']]],
   ['neon_5fvector_5ftag_5ft',['neon_vector_tag_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#a793232f2606e7e2737fc313777ad3498',1,'arm_compute::wrapper::traits']]],
   ['neopticalflowfixture',['NEOpticalFlowFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf06636c5092471ed65180c8e063ce7d',1,'arm_compute::test::benchmark::NEOpticalFlowFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a875d8b96ac0977c055971bbd04765aeb',1,'arm_compute::test::validation::NEOpticalFlowFixture()']]],
+  ['nepaddingfixture',['NEPaddingFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8742eecef9bb6c44aba3af838e31d99b',1,'arm_compute::test::validation']]],
   ['nepermutefixture',['NEPermuteFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a5527aa9271a188c66dede8c1faac56',1,'arm_compute::test::validation']]],
   ['nephasefixture',['NEPhaseFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aab8748dede519784acf3fdffc3457289',1,'arm_compute::test::benchmark::NEPhaseFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affe8778d9540d96b952418d81a3ac3c0',1,'arm_compute::test::validation::NEPhaseFixture()']]],
   ['nepixelwisemultiplicationbroadcastfixture',['NEPixelWiseMultiplicationBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa670d48d66ab33363db0a492e2453e81',1,'arm_compute::test::validation']]],
@@ -112,36 +135,46 @@
   ['nepoolinglayerfixture',['NEPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0',1,'arm_compute::test::benchmark::NEPoolingLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00c68d31878de04b28770082f4b22345',1,'arm_compute::test::validation::NEPoolingLayerFixture()']]],
   ['nepriorboxlayerfixture',['NEPriorBoxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a72c18179ffa27af164173e1cf01b96b2',1,'arm_compute::test::validation']]],
   ['nequantizationlayerfixture',['NEQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac05c293f1f07b99a64a126f02099fb56',1,'arm_compute::test::benchmark::NEQuantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81844f55bae5485c82da5b2206122651',1,'arm_compute::test::validation::NEQuantizationLayerFixture()']]],
+  ['nerangefixture',['NERangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af508389e203acf57bbe5f3703e71e6c2',1,'arm_compute::test::validation']]],
   ['nereducemeanfixture',['NEReduceMeanFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afe85164819f8e1e56c910bbb0ed189da',1,'arm_compute::test::validation']]],
   ['nereductionoperationfixture',['NEReductionOperationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50ee121819406fc67c0a4209e9cb3917',1,'arm_compute::test::validation']]],
   ['neremapfixture',['NERemapFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acf65c3feca044d9b9dc4f7fd718479c2',1,'arm_compute::test::benchmark::NERemapFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd0cabeb38c79bd74fcac6caa7de59c4',1,'arm_compute::test::validation::NERemapFixture()']]],
   ['nereorglayerfixture',['NEReorgLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af37d2464003d9e5871d32be4af336d9f',1,'arm_compute::test::validation']]],
   ['nereshapelayerfixture',['NEReshapeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d668f30eacaef80d82bee8ee53247d6',1,'arm_compute::test::benchmark::NEReshapeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c9abced5979b89a9b7940e5ba20fc1f',1,'arm_compute::test::validation::NEReshapeLayerFixture()']]],
+  ['nereversefixture',['NEReverseFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25238fb5ce3406ce401fc16e8cbbe78b',1,'arm_compute::test::validation']]],
   ['nernnlayerfixture',['NERNNLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ade71b50538d7ac13395269d63b88563f',1,'arm_compute::test::validation']]],
-  ['neroipoolinglayerfixture',['NEROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad06d0899d199033108e24898ca1da608',1,'arm_compute::test::benchmark']]],
+  ['neroipoolinglayerfixture',['NEROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73ebac00870a7c026f5ce3f96a30debc',1,'arm_compute::test::benchmark']]],
+  ['nersqrtlayerfixture',['NERsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a523fcd26d15e55fca5ae150c031f2e35',1,'arm_compute::test::validation']]],
   ['nescalefixture',['NEScaleFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a13ea79a1960ee4d3d7c359e8436440d0',1,'arm_compute::test::benchmark::NEScaleFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a152f1e4ecfef54bb351850512120791d',1,'arm_compute::test::validation::NEScaleFixture()']]],
+  ['nescalequantizedfixture',['NEScaleQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb53666db95b7f44cd1d9da3bfe9fba9',1,'arm_compute::test::validation']]],
   ['nescharr3x3fixture',['NEScharr3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8db4b521acfac940c0bcc042df4ae59',1,'arm_compute::test::validation']]],
   ['nescheduler',['NEScheduler',['../namespacearm__compute.xhtml#a0604c803e41880a4a16408efc4e6a69b',1,'arm_compute']]],
+  ['neselectfixture',['NESelectFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa701b1f3cd76f80a5d6e9b463d556557',1,'arm_compute::test::validation']]],
   ['neseparableconvolution5x5horkernel',['NESeparableConvolution5x5HorKernel',['../namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b',1,'arm_compute']]],
   ['neseparableconvolution5x5vertkernel',['NESeparableConvolution5x5VertKernel',['../namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b',1,'arm_compute']]],
   ['neseparableconvolution7x7horkernel',['NESeparableConvolution7x7HorKernel',['../namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926',1,'arm_compute']]],
   ['neseparableconvolution7x7vertkernel',['NESeparableConvolution7x7VertKernel',['../namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39',1,'arm_compute']]],
   ['neseparableconvolution9x9horkernel',['NESeparableConvolution9x9HorKernel',['../namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38',1,'arm_compute']]],
   ['neseparableconvolution9x9vertkernel',['NESeparableConvolution9x9VertKernel',['../namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9',1,'arm_compute']]],
+  ['neslicefixture',['NESliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8623c95c2eea5c2c9383fffc61f0e758',1,'arm_compute::test::validation']]],
   ['nesobel3x3fixture',['NESobel3x3Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a408ff33b468dfaba3d5127d6c17b6da3',1,'arm_compute::test::benchmark::NESobel3x3Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a622679b1f1a3fe86dcec18bfa0cb5500',1,'arm_compute::test::validation::NESobel3x3Fixture()']]],
   ['nesobel5x5fixture',['NESobel5x5Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a72e5000ade80e08031b5f69fa514e3bd',1,'arm_compute::test::validation']]],
   ['nesobel7x7fixture',['NESobel7x7Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0003f45ddaf84d43adbffd1d84f3cb73',1,'arm_compute::test::validation']]],
   ['nesoftmaxlayerfixture',['NESoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a332c02fe617367f14266075c7c046823',1,'arm_compute::test::benchmark::NESoftmaxLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa5c860447aeecd9eda9bdbf2d3e31e20',1,'arm_compute::test::validation::NESoftmaxLayerFixture()']]],
-  ['nesoftmaxlayerquantizedfixture',['NESoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d7e2e1bc1b2dd74136710cad1b8df23',1,'arm_compute::test::validation']]],
   ['nespecialpoolinglayerfixture',['NESpecialPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af668c50d20aabcb45b26e5310b1b6556',1,'arm_compute::test::validation']]],
+  ['nesplitfixture',['NESplitFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aef40cf35f72c87a09cf06a81578754f1',1,'arm_compute::test::validation']]],
+  ['nestacklayerfixture',['NEStackLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b863087124893b028704d20a6f7f55a',1,'arm_compute::test::validation']]],
+  ['nestridedslicefixture',['NEStridedSliceFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#abd97ab1f2ca352499a6fad42516b7bbf',1,'arm_compute::test::validation']]],
   ['netablelookupfixture',['NETableLookupFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8b2397cf81e1a0537876f3c7ff52b853',1,'arm_compute::test::validation']]],
+  ['netilefixture',['NETileFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a630c291504e0242d4ce76ef1b7c884b6',1,'arm_compute::test::validation']]],
   ['netransposefixture',['NETransposeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a90249b0283a2492bab3743eb58c9d146',1,'arm_compute::test::benchmark::NETransposeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e44ee0b61faee74cc9f17d58df96413',1,'arm_compute::test::validation::NETransposeFixture()']]],
+  ['neunstackfixture',['NEUnstackFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a20a17a8e59e65e544949213b6095d0a6',1,'arm_compute::test::validation']]],
   ['neupsamplelayerfixture',['NEUpsampleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a76e04f20ff5bdc3170425e63025bba9d',1,'arm_compute::test::validation']]],
   ['newarpaffinefixture',['NEWarpAffineFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4da4cf92c0746b3d740f4025ebd8d3d1',1,'arm_compute::test::benchmark::NEWarpAffineFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ff935e5e31e02ad2cfbe40efac2ae60',1,'arm_compute::test::validation::NEWarpAffineFixture()']]],
   ['newarpperspectivefixture',['NEWarpPerspectiveFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d7164aca011490876c383d2c0827d86',1,'arm_compute::test::validation']]],
   ['newidthconcatenatelayerfixture',['NEWidthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6c6e68cbdfbdff41a0f267cef6b3fc6',1,'arm_compute::test::validation']]],
-  ['newinogradconvolutionlayerfixture',['NEWinogradConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd007c058c59ab7abc7c4baec7d426d6',1,'arm_compute::test::validation']]],
   ['newinogradconvolutionlayernobiasfixture',['NEWinogradConvolutionLayerNoBiasFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a95256b08846db22e0c4d2b13656272',1,'arm_compute::test::validation']]],
   ['neyololayerfixture',['NEYOLOLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2decae66a0786b2b157047da68aec757',1,'arm_compute::test::validation']]],
-  ['nodeid',['NodeID',['../namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7',1,'arm_compute::graph']]]
+  ['nodeid',['NodeID',['../namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7',1,'arm_compute::graph']]],
+  ['normalizedbbox',['NormalizedBBox',['../namespacearm__compute.xhtml#a4ec997c1b05a1fd406828bc7e1f41dad',1,'arm_compute']]]
 ];
diff --git a/documentation/search/typedefs_e.html b/documentation/search/typedefs_e.html
index f61d902..20c2a48 100644
--- a/documentation/search/typedefs_e.html
+++ b/documentation/search/typedefs_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/typedefs_f.html b/documentation/search/typedefs_f.html
index aefe575..41973a0 100644
--- a/documentation/search/typedefs_f.html
+++ b/documentation/search/typedefs_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="typedefs_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_0.html b/documentation/search/variables_0.html
index 74ce807..12104bc 100644
--- a/documentation/search/variables_0.html
+++ b/documentation/search/variables_0.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_0.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_0.js b/documentation/search/variables_0.js
index e5c1d4f..9e7cbbc 100644
--- a/documentation/search/variables_0.js
+++ b/documentation/search/variables_0.js
@@ -1,20 +1,22 @@
 var searchData=
 [
-  ['_5fallowed_5fvalues',['_allowed_values',['../namespacearm__compute_1_1utils.xhtml#a813cd3ddc61ff2066016e023927cced0',1,'arm_compute::utils']]],
+  ['_5faxis',['_axis',['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#af40315449e153ebfdebe4393138dc74e',1,'arm_compute::CLReverseKernel']]],
   ['_5fbiases',['_biases',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a95ba9da2ab49208dfa0d4642c8f7b23b',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_5fborder_5fsize',['_border_size',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4',1,'arm_compute::CLDirectConvolutionLayerKernel::_border_size()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a2e0cdcd6999269beea6b9512ad41f3d4',1,'arm_compute::CLPoolingLayerKernel::_border_size()']]],
   ['_5fconv_5finfo',['_conv_info',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a118b70265d99428bf7d068d686d0cb80',1,'arm_compute::CLIm2ColKernel']]],
   ['_5fconv_5fstride_5fx',['_conv_stride_x',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#aeebcff33f13042b2527755e294f5d53e',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_5fconv_5fstride_5fy',['_conv_stride_y',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a862a2fc55a07b4d6a7e4e23cb11ff323',1,'arm_compute::CLDirectConvolutionLayerKernel']]],
   ['_5fconvolved_5fdims',['_convolved_dims',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a42f267d5154193e934a51be372c1db33',1,'arm_compute::CLCol2ImKernel::_convolved_dims()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a4215b3b7076338a7834c0bbff11aefb2',1,'arm_compute::CLIm2ColKernel::_convolved_dims()']]],
-  ['_5finput',['_input',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLCol2ImKernel::_input()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLDirectConvolutionLayerKernel::_input()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLFlattenLayerKernel::_input()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLIm2ColKernel::_input()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLPoolingLayerKernel::_input()']]],
+  ['_5fhas_5fvec_5fc',['_has_vec_c',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a5bf0b3b3a4d551d8038eedae077e22f9',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
+  ['_5finput',['_input',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLCol2ImKernel::_input()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLDirectConvolutionLayerKernel::_input()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLFlattenLayerKernel::_input()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLIm2ColKernel::_input()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLPoolingLayerKernel::_input()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53',1,'arm_compute::CLReverseKernel::_input()']]],
   ['_5finput0',['_input0',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a1ab65df01f310bf054323607cd09956e',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
   ['_5finput1',['_input1',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a6590f81ae0c9f3e01546c73eb31a43c8',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
+  ['_5finput2',['_input2',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a23faf35900f50c084fa1282511b7bd17',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
   ['_5finterpolationpolicy',['_interpolationPolicy',['../classarm__compute_1_1_c_l_scale_kernel.xhtml#a8639ae30eec16840f9d0ae0549eeaf3e',1,'arm_compute::CLScaleKernel']]],
   ['_5fkernel_5fdims',['_kernel_dims',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#af153c85a143d20108f35f4575ac9eb22',1,'arm_compute::CLIm2ColKernel']]],
   ['_5fnum_5felems_5fprocessed_5fper_5fiteration',['_num_elems_processed_per_iteration',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1',1,'arm_compute::CLIm2ColKernel::_num_elems_processed_per_iteration()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a8fd589467d6c372b7b717d9cf8f961b1',1,'arm_compute::CLPoolingLayerKernel::_num_elems_processed_per_iteration()']]],
   ['_5fnum_5fgroups',['_num_groups',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a98cef52489d010f16f5d9761bbc9424f',1,'arm_compute::CLIm2ColKernel']]],
-  ['_5foutput',['_output',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLCol2ImKernel::_output()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLDirectConvolutionLayerKernel::_output()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLFlattenLayerKernel::_output()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLGEMMMatrixMultiplyKernel::_output()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLIm2ColKernel::_output()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLPoolingLayerKernel::_output()']]],
+  ['_5foutput',['_output',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLCol2ImKernel::_output()'],['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLDirectConvolutionLayerKernel::_output()'],['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLFlattenLayerKernel::_output()'],['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLGEMMMatrixMultiplyKernel::_output()'],['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLIm2ColKernel::_output()'],['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLPoolingLayerKernel::_output()'],['../classarm__compute_1_1_c_l_reverse_kernel.xhtml#a62d192d931002b4866443cd7fc71419b',1,'arm_compute::CLReverseKernel::_output()']]],
   ['_5fpool_5finfo',['_pool_info',['../classarm__compute_1_1_c_l_pooling_layer_kernel.xhtml#a204c8ef37bc558c02542daffbaee06e2',1,'arm_compute::CLPoolingLayerKernel']]],
   ['_5freference',['_reference',['../structarm__compute_1_1test_1_1validation_1_1compare__base.xhtml#a9cdfbe0f92ba33d9d5c84bc06600640c',1,'arm_compute::test::validation::compare_base']]],
   ['_5freinterpret_5finput_5fas_5f3d',['_reinterpret_input_as_3d',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#aa71ec02f998e1dcfd49ef944ec8cf23e',1,'arm_compute::CLGEMMMatrixMultiplyKernel']]],
diff --git a/documentation/search/variables_1.html b/documentation/search/variables_1.html
index 84237b6..b784017 100644
--- a/documentation/search/variables_1.html
+++ b/documentation/search/variables_1.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_1.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_1.js b/documentation/search/variables_1.js
index 79a9fdb..7c2a531 100644
--- a/documentation/search/variables_1.js
+++ b/documentation/search/variables_1.js
@@ -1,12 +1,18 @@
 var searchData=
 [
-  ['a',['a',['../namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79',1,'arm_compute::test::validation']]],
   ['a11',['A11',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#adde8ad2311dc11f75f5571a764c6af97',1,'arm_compute::CLCoefficientTable']]],
   ['a12',['A12',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a380c8116f7d47ce2367992bb986f9876',1,'arm_compute::CLCoefficientTable']]],
   ['a22',['A22',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29',1,'arm_compute::CLCoefficientTable']]],
+  ['abs_5fdiff',['abs_diff',['../namespacearm__compute_1_1test_1_1validation.xhtml#af25a92263ec1a123d1377e01792ef461',1,'arm_compute::test::validation']]],
+  ['accum_5fsquare',['accum_square',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15a5f52bac449d7f04e57c59f331e085',1,'arm_compute::test::validation']]],
+  ['accum_5fweight',['accum_weight',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad70dd3678501cef96cadd2251870d924',1,'arm_compute::test::validation']]],
+  ['act_5finfo',['act_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1',1,'arm_compute::test::validation']]],
+  ['add',['add',['../namespacearm__compute_1_1test_1_1validation.xhtml#acb58b6d1d2220b217478eb206de180c8',1,'arm_compute::test::validation']]],
   ['align_5fcolumns',['align_columns',['../structarm__compute_1_1_i_o_format_info.xhtml#a1d81fe110d5dcac79dd73a532015bb94',1,'arm_compute::IOFormatInfo']]],
+  ['alignment',['alignment',['../structarm__compute_1_1_blob_info.xhtml#a3afda29223eeda35afd21a6c5e121ba2',1,'arm_compute::BlobInfo']]],
   ['allocator',['allocator',['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a8725ea3110284d80b57a98c2cdf7a995',1,'arm_compute::graph::MemoryManagerContext']]],
-  ['alpha',['alpha',['../namespacearm__compute_1_1test_1_1validation.xhtml#a62197192f0fbf4e0675eb37be1c4c175',1,'arm_compute::test::validation']]],
+  ['alpha',['alpha',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b',1,'arm_compute::test::validation']]],
   ['anchor',['anchor',['../structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7',1,'arm_compute::ValidRegion']]],
-  ['are_5fweights_5freshaped',['are_weights_reshaped',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc',1,'arm_compute::FullyConnectedLayerInfo']]]
+  ['are_5fweights_5freshaped',['are_weights_reshaped',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a146a7be9d813ad80abb72a0bf6566cbc',1,'arm_compute::FullyConnectedLayerInfo']]],
+  ['axis',['axis',['../namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_10.html b/documentation/search/variables_10.html
index 548ac84..308afd5 100644
--- a/documentation/search/variables_10.html
+++ b/documentation/search/variables_10.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_10.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_11.html b/documentation/search/variables_11.html
index d5be914..c276827 100644
--- a/documentation/search/variables_11.html
+++ b/documentation/search/variables_11.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_11.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_11.js b/documentation/search/variables_11.js
index d4614c1..accc278 100644
--- a/documentation/search/variables_11.js
+++ b/documentation/search/variables_11.js
@@ -5,5 +5,6 @@
   ['quantize_5fdown_5fint32_5fto_5fuint8_5fscale_5fby_5ffixedpoint_5frelu_5fcases',['quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases',['../namespacearm__compute_1_1test_1_1validation.xhtml#a78f0db008369b524e9f0f7c5f43ae7e6',1,'arm_compute::test::validation']]],
   ['quantize_5fdown_5fint32_5fto_5fuint8_5fscale_5frelu_5fcases',['quantize_down_int32_to_uint8_scale_relu_cases',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f',1,'arm_compute::test::validation']]],
   ['quantizedactivationdataset',['QuantizedActivationDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0b8743d7c78a9fa2c303aa1b255a1b8e',1,'arm_compute::test::validation']]],
-  ['quantizedactivationfunctionsdataset',['QuantizedActivationFunctionsDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924',1,'arm_compute::test::validation']]]
+  ['quantizedactivationfunctionsdataset',['QuantizedActivationFunctionsDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924',1,'arm_compute::test::validation']]],
+  ['quantizedactivationfunctionssmalldataset',['QuantizedActivationFunctionsSmallDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c4de6fef335f27d37630b6f16ed0f24',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_12.html b/documentation/search/variables_12.html
index b62e1ee..bad4c79 100644
--- a/documentation/search/variables_12.html
+++ b/documentation/search/variables_12.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_12.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_12.js b/documentation/search/variables_12.js
index df33ca4..fe8f2fe 100644
--- a/documentation/search/variables_12.js
+++ b/documentation/search/variables_12.js
@@ -3,10 +3,13 @@
   ['r_5fvalue',['r_value',['../_mali_counter_8cpp.xhtml#a736088bbd41fd7407ac9fc811864db68',1,'MaliCounter.cpp']]],
   ['raw_5f',['raw_',['../structarm__compute_1_1logging_1_1_log_msg.xhtml#ab564cdace3a0a660c5a04b5f2c637213',1,'arm_compute::logging::LogMsg']]],
   ['real_5fclenqueuendrangekernel',['real_clEnqueueNDRangeKernel',['../classarm__compute_1_1_c_l_tuner.xhtml#a5baba955626e8da33ed5dd829a538974',1,'arm_compute::CLTuner']]],
-  ['rect',['rect',['../structarm__compute_1_1_r_o_i.xhtml#aa23d9b69995e7138751a71caf1d46429',1,'arm_compute::ROI']]],
   ['red_5fcoef_5fbt709',['red_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ac3138daaa2a074986406b22ec6f3d909',1,'arm_compute::test::colorconvert_helper::detail']]],
-  ['ref_5fsrc1',['ref_src1',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa37812e34d60d0c75b47623a552b8ce',1,'arm_compute::test::validation']]],
+  ['ref_5fc',['ref_c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56dcd0ed6ea18f4694b4b81030ff384f',1,'arm_compute::test::validation']]],
+  ['ref_5fsrc',['ref_src',['../namespacearm__compute_1_1test_1_1validation.xhtml#a80d454b3b4cf1a2b3a1e3bccc2e12ff8',1,'arm_compute::test::validation']]],
+  ['ref_5fsrc1',['ref_src1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1314e5082ccbc5c77c154d3417533493',1,'arm_compute::test::validation']]],
   ['ref_5fsrc2',['ref_src2',['../namespacearm__compute_1_1test_1_1validation.xhtml#a32648f11269b827fefc288e4d60a3507',1,'arm_compute::test::validation']]],
+  ['ref_5fx',['ref_x',['../namespacearm__compute_1_1test_1_1validation.xhtml#afd61a7e2a0a6de7b9572fcf0a81d0999',1,'arm_compute::test::validation']]],
+  ['ref_5fy',['ref_y',['../namespacearm__compute_1_1test_1_1validation.xhtml#aefbfb6e2d75275f293020ddfa0a6a2c2',1,'arm_compute::test::validation']]],
   ['retain_5finternal_5fweights',['retain_internal_weights',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a4f87c5060cca01305f94a9d2f10e9d83',1,'arm_compute::FullyConnectedLayerInfo']]],
   ['rgb',['rgb',['../classarm__compute_1_1_pixel_value.xhtml#afe42472c55e7e5df52b8aaca94d0fa7e',1,'arm_compute::PixelValue']]],
   ['rgb2u8_5fblue_5fcoef',['rgb2u8_blue_coef',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a212c4b6cc3384fc8a6daefc25b40efb1',1,'arm_compute::test::colorconvert_helper::detail']]],
@@ -20,5 +23,6 @@
   ['rgbx',['rgbx',['../classarm__compute_1_1_pixel_value.xhtml#ac24a28b797176d8a1e73d27f64c058d2',1,'arm_compute::PixelValue']]],
   ['right',['right',['../structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9',1,'arm_compute::BorderSize']]],
   ['rounding_5fpolicy',['rounding_policy',['../namespacearm__compute_1_1test_1_1validation.xhtml#a60ad1078faeaf3f59266d69ad937339f',1,'arm_compute::test::validation']]],
-  ['row_5fdelim',['row_delim',['../structarm__compute_1_1_i_o_format_info.xhtml#ab1a3e6cb2768124a6853f52bd0e10596',1,'arm_compute::IOFormatInfo']]]
+  ['row_5fdelim',['row_delim',['../structarm__compute_1_1_i_o_format_info.xhtml#ab1a3e6cb2768124a6853f52bd0e10596',1,'arm_compute::IOFormatInfo']]],
+  ['run_5fsmall_5fdataset',['run_small_dataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e54f8a51394fac8230e2618e0d4c0a2',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_13.html b/documentation/search/variables_13.html
index 15437be..ef6d36c 100644
--- a/documentation/search/variables_13.html
+++ b/documentation/search/variables_13.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_13.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_13.js b/documentation/search/variables_13.js
index 24a8c55..e59de31 100644
--- a/documentation/search/variables_13.js
+++ b/documentation/search/variables_13.js
@@ -4,20 +4,23 @@
   ['s32',['s32',['../classarm__compute_1_1_pixel_value.xhtml#acd1420e45b5486795a46cf1a5943a0ff',1,'arm_compute::PixelValue']]],
   ['s64',['s64',['../classarm__compute_1_1_pixel_value.xhtml#ae66ed2ec20c2115ff9970c73168fc0df',1,'arm_compute::PixelValue']]],
   ['s8',['s8',['../classarm__compute_1_1_pixel_value.xhtml#acf0eb502f72832af26e62c69457bd1b6',1,'arm_compute::PixelValue']]],
+  ['same_5frank',['same_rank',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cf6ae51725ed102205aa7fe3704f057',1,'arm_compute::test::validation']]],
   ['scale',['scale',['../structarm__compute_1_1_quantization_info.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'arm_compute::QuantizationInfo::scale()'],['../structarm__compute_1_1_key_point.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'arm_compute::KeyPoint::scale()'],['../struct_keypoint.xhtml#a1d28dec57cce925ad92342891bd71e7c',1,'Keypoint::scale()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a',1,'arm_compute::test::validation::scale()']]],
   ['scale_5fpyramid_5fhalf',['SCALE_PYRAMID_HALF',['../namespacearm__compute.xhtml#af9876aedd664cac0ddeacddb40cb71cd',1,'arm_compute']]],
   ['scale_5fpyramid_5forb',['SCALE_PYRAMID_ORB',['../namespacearm__compute.xhtml#a2ebcd5423d5fba468e7debd2e1aabe91',1,'arm_compute']]],
   ['score',['score',['../structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c',1,'arm_compute::DetectionWindow::score()'],['../struct_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c',1,'DetectionWindow::score()']]],
+  ['select',['select',['../namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53',1,'arm_compute::test::validation']]],
   ['sensitivity',['sensitivity',['../structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76',1,'arm_compute::test::validation::HarrisCornersParameters']]],
   ['shape',['shape',['../structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8',1,'arm_compute::ValidRegion::shape()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8',1,'arm_compute::graph::TensorDescriptor::shape()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5',1,'arm_compute::test::validation::shape()']]],
-  ['shape_5fa',['shape_a',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9',1,'arm_compute::test::validation']]],
-  ['shape_5fb',['shape_b',['../namespacearm__compute_1_1test_1_1validation.xhtml#a311c7503f0ef6cb1893ffc3bf8f22eb5',1,'arm_compute::test::validation']]],
-  ['shape_5fc',['shape_c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a141b596a566813a7fc3116f9881d3dc9',1,'arm_compute::test::validation']]],
   ['shape_5fin',['shape_in',['../namespacearm__compute_1_1test_1_1validation.xhtml#aeff9a60eefc51f40f1bcfab3cd707ccf',1,'arm_compute::test::validation']]],
-  ['shape_5fout',['shape_out',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa65261d320223230cd08fc3ebc05751b',1,'arm_compute::test::validation']]],
-  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472',1,'arm_compute::test::validation']]],
+  ['shift',['shift',['../namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8',1,'arm_compute::test::validation']]],
+  ['size',['size',['../structarm__compute_1_1_blob_info.xhtml#a854352f53b148adc24983a58a1866d66',1,'arm_compute::BlobInfo']]],
+  ['src',['src',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9d2dc29c2789c253406f9b304cc75a8',1,'arm_compute::test::validation']]],
   ['src_5fpadding',['src_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac5b50eb53d8a57ca72c8db8b2ce66e2d',1,'arm_compute::test::validation']]],
+  ['src_5fquantization_5finfo',['src_quantization_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#aec2bf1a2d6e75d2bb845dd3fdba02bc4',1,'arm_compute::test::validation']]],
+  ['src_5fvalid_5fregion',['src_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#abfb048093787b1a7878fea54e60430a4',1,'arm_compute::test::validation']]],
   ['status',['status',['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9e590b7d913d38286ab0916c38bb600f',1,'arm_compute::test::framework::TestInfo::status()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#ae29aa2d4ae440022daaed1107eb306b3',1,'arm_compute::test::framework::TestResult::status()']]],
+  ['step',['step',['../namespacearm__compute_1_1test_1_1validation.xhtml#a75b73e17c4ebe901e44af3b2b9846ab3',1,'arm_compute::test::validation']]],
   ['strength',['strength',['../structarm__compute_1_1_key_point.xhtml#a2c1c8f9331368f38bfc3eaee260b59a6',1,'arm_compute::KeyPoint::strength()'],['../struct_keypoint.xhtml#a2c1c8f9331368f38bfc3eaee260b59a6',1,'Keypoint::strength()']]],
   ['stride_5fw',['stride_w',['../struct_tensor4_d.xhtml#a13a60f6e75f64f1953b8858ea454a880',1,'Tensor4D']]],
   ['stride_5fx',['stride_x',['../struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e',1,'Vector::stride_x()'],['../struct_image.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e',1,'Image::stride_x()'],['../struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e',1,'Tensor3D::stride_x()'],['../struct_tensor4_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e',1,'Tensor4D::stride_x()']]],
diff --git a/documentation/search/variables_14.html b/documentation/search/variables_14.html
index 3745fec..305ea53 100644
--- a/documentation/search/variables_14.html
+++ b/documentation/search/variables_14.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_14.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_14.js b/documentation/search/variables_14.js
index e4d02c0..2abe27e 100644
--- a/documentation/search/variables_14.js
+++ b/documentation/search/variables_14.js
@@ -1,10 +1,10 @@
 var searchData=
 [
+  ['t_5fvalue',['t_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac9490c76b7ba91686fa4f7c142daf2f0',1,'arm_compute::test::validation']]],
   ['target',['target',['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::MemoryManagerContext::target()'],['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::TensorDescriptor::target()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a2a7ca82c5e74421cb45f17e936abf964',1,'arm_compute::graph::NodeParams::target()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a29d9bc83bfba2fba21af47e575569dde',1,'arm_compute::utils::CommonGraphParams::target()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a770e3e82cb8e4632d754e651fd29b9cb',1,'arm_compute::utils::CommonGraphOptions::target()']]],
   ['target_5fhint',['target_hint',['../structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a81d9ddb43e3c89a5bf3334d475f9d74b',1,'arm_compute::graph::frontend::StreamHints']]],
   ['task',['task',['../structarm__compute_1_1graph_1_1_execution_task.xhtml#adb326630f97b4977df92f1e5ecf0db14',1,'arm_compute::graph::ExecutionTask']]],
   ['tasks',['tasks',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#ae7d2dcab167d9eba3483a1fa1f330c7f',1,'arm_compute::graph::ExecutionWorkload']]],
-  ['tensor_5finfo_5fin',['tensor_info_in',['../namespacearm__compute_1_1test_1_1validation.xhtml#acc56b65684fb727508eab26f947dabc7',1,'arm_compute::test::validation']]],
   ['termination',['termination',['../structarm__compute_1_1_optical_flow_parameters.xhtml#a77d1ea96211300e9417b965981953c81',1,'arm_compute::OpticalFlowParameters']]],
   ['thread_5fid',['thread_id',['../structarm__compute_1_1_thread_info.xhtml#ab488bfc5d1f76143651f915915046354',1,'arm_compute::ThreadInfo']]],
   ['threads',['threads',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a4f987a98d3e1221916748962e45399fe',1,'arm_compute::utils::CommonGraphParams::threads()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#ad6174941c7ae1c945e4f7fcb3261f87c',1,'arm_compute::utils::CommonGraphOptions::threads()']]],
@@ -12,6 +12,7 @@
   ['throw_5ferrors',['throw_errors',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#acfa78593a32c16d1b3f397a68bbd1c29',1,'arm_compute::test::framework::CommonOptions']]],
   ['top',['top',['../structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3',1,'arm_compute::BorderSize']]],
   ['tracking_5fstatus',['tracking_status',['../structarm__compute_1_1_c_l_l_k_internal_keypoint.xhtml#a08361efa212a9ab04a5965766ea942d5',1,'arm_compute::CLLKInternalKeypoint::tracking_status()'],['../structarm__compute_1_1_n_e_l_k_internal_keypoint.xhtml#a633fd1d1a22ab1b18aa0e091cb201553',1,'arm_compute::NELKInternalKeypoint::tracking_status()'],['../structarm__compute_1_1_key_point.xhtml#a8ca2aae59762685dd38143e5f8267147',1,'arm_compute::KeyPoint::tracking_status()'],['../struct_internal_keypoint.xhtml#a08361efa212a9ab04a5965766ea942d5',1,'InternalKeypoint::tracking_status()'],['../struct_keypoint.xhtml#a7edfed755585d6095522904dbe0ec4d8',1,'Keypoint::tracking_status()'],['../structarm__compute_1_1_internal_key_point.xhtml#a633fd1d1a22ab1b18aa0e091cb201553',1,'arm_compute::InternalKeyPoint::tracking_status()']]],
+  ['transpose',['transpose',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::DepthwiseConvolutionReshapeInfo::transpose()'],['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::GEMMLHSMatrixInfo::transpose()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a25a62de4b18dc349803bf5447052d673',1,'arm_compute::GEMMRHSMatrixInfo::transpose()']]],
   ['transpose_5fweights',['transpose_weights',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9',1,'arm_compute::FullyConnectedLayerInfo']]],
   ['tuner_5ffile',['tuner_file',['../structarm__compute_1_1graph_1_1_graph_config.xhtml#a5cabfb35cd0014387f7ec2a0c362c20f',1,'arm_compute::graph::GraphConfig::tuner_file()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5cabfb35cd0014387f7ec2a0c362c20f',1,'arm_compute::utils::CommonGraphParams::tuner_file()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aac3ce1ee0a145bb6c131c9d94f30062e',1,'arm_compute::utils::CommonGraphOptions::tuner_file()']]],
   ['two_5fgb_5fin_5fkb',['TWO_GB_IN_KB',['../classarm__compute_1_1_m_e_m_info.xhtml#abd0ddfc9f23b25d70cdcf6e2e0d37782',1,'arm_compute::MEMInfo']]],
diff --git a/documentation/search/variables_15.html b/documentation/search/variables_15.html
index 7432fd7..8c9bf77 100644
--- a/documentation/search/variables_15.html
+++ b/documentation/search/variables_15.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_15.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_15.js b/documentation/search/variables_15.js
index 82751ef..7758df0 100644
--- a/documentation/search/variables_15.js
+++ b/documentation/search/variables_15.js
@@ -1,5 +1,6 @@
 var searchData=
 [
+  ['u',['U',['../namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e',1,'arm_compute::utils::cast']]],
   ['u16',['u16',['../classarm__compute_1_1_pixel_value.xhtml#a1234f83efa812e259523c91799614a3c',1,'arm_compute::PixelValue']]],
   ['u32',['u32',['../classarm__compute_1_1_pixel_value.xhtml#ae65af0c4a8ee050043fe4b575f0a26a0',1,'arm_compute::PixelValue']]],
   ['u64',['u64',['../classarm__compute_1_1_pixel_value.xhtml#a91ee3b6e2425e78feef03fb5c69d63e5',1,'arm_compute::PixelValue']]],
diff --git a/documentation/search/variables_16.html b/documentation/search/variables_16.html
index 737584f..1061d0d 100644
--- a/documentation/search/variables_16.html
+++ b/documentation/search/variables_16.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_16.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_16.js b/documentation/search/variables_16.js
index cddbf08..c49351e 100644
--- a/documentation/search/variables_16.js
+++ b/documentation/search/variables_16.js
@@ -1,6 +1,8 @@
 var searchData=
 [
   ['v',['v',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aa1bee75ce77e93989e011aae01955b03',1,'arm_compute::test::framework::Measurement::Value']]],
+  ['v0',['v0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#acfef62abd2f827bf05666ba50a705c0d',1,'arm_compute::GEMMLHSMatrixInfo']]],
+  ['v0_5fvalue',['v0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a47314753b59095eaf4cab9c8cb9f7533',1,'arm_compute::test::validation']]],
   ['valid_5fregion',['valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422',1,'arm_compute::test::validation']]],
   ['validation_5ffile',['validation_file',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486',1,'arm_compute::utils::CommonGraphParams::validation_file()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a30fbf7b83e14786a1cdab47e5e389cba',1,'arm_compute::utils::CommonGraphOptions::validation_file()']]],
   ['validation_5fpath',['validation_path',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a91652a4f41fde8020674577dd0e5933d',1,'arm_compute::utils::CommonGraphParams::validation_path()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a9846145d91730995d71b3cc3a92d2a84',1,'arm_compute::utils::CommonGraphOptions::validation_path()']]],
@@ -9,6 +11,7 @@
   ['validation_5frange_5fstart',['validation_range_start',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5c135a9c2ced82186156930974ded8a0',1,'arm_compute::utils::CommonGraphParams']]],
   ['valpha',['valpha',['../structarm__compute_1_1detail_1_1linear.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::linear::valpha()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::brelu::valpha()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#abd5aa7b37cf4c0a02b4bf2d4692d3750',1,'arm_compute::detail::lubrelu::valpha()']]],
   ['value',['value',['../structarm__compute_1_1enable__bitwise__ops_3_01arm__compute_1_1_g_p_u_target_01_4.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops&lt; arm_compute::GPUTarget &gt;::value()'],['../structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873',1,'arm_compute::enable_bitwise_ops::value()'],['../classarm__compute_1_1_pixel_value.xhtml#a3e79b9ee2384b30bb1a1bb85155bb803',1,'arm_compute::PixelValue::value()']]],
+  ['var_5finfo',['var_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a31cc2314aae5e6f2c1299b653a2e0f99',1,'arm_compute::test::validation']]],
   ['vbeta',['vbeta',['../structarm__compute_1_1detail_1_1linear.xhtml#a7bf6867cd97f3be4a120c87d1ede868b',1,'arm_compute::detail::linear::vbeta()'],['../structarm__compute_1_1detail_1_1lubrelu.xhtml#a7bf6867cd97f3be4a120c87d1ede868b',1,'arm_compute::detail::lubrelu::vbeta()']]],
   ['vone',['vone',['../structarm__compute_1_1detail_1_1logistic.xhtml#a2c1ba84928bd43894ed06aa82fe727c9',1,'arm_compute::detail::logistic']]],
   ['vzero',['vzero',['../structarm__compute_1_1detail_1_1relu.xhtml#a457deb9a1852991a4fec651d7a4e5e09',1,'arm_compute::detail::relu::vzero()'],['../structarm__compute_1_1detail_1_1brelu.xhtml#a457deb9a1852991a4fec651d7a4e5e09',1,'arm_compute::detail::brelu::vzero()']]]
diff --git a/documentation/search/variables_17.html b/documentation/search/variables_17.html
index fe5c7ef..91e267d 100644
--- a/documentation/search/variables_17.html
+++ b/documentation/search/variables_17.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_17.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_17.js b/documentation/search/variables_17.js
index cb9f8d8..4440518 100644
--- a/documentation/search/variables_17.js
+++ b/documentation/search/variables_17.js
@@ -1,12 +1,13 @@
 var searchData=
 [
+  ['weights',['weights',['../namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0',1,'arm_compute::test::validation']]],
   ['weights_5finfo',['weights_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0',1,'arm_compute::test::validation']]],
+  ['weights_5fquantization_5finfo',['weights_quantization_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#afff44a0110c3767f144c9cb8e6f81625',1,'arm_compute::test::validation']]],
+  ['weights_5fshape',['weights_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae8f0126f051c787279a8c9ee3c3a5d55',1,'arm_compute::test::validation']]],
   ['weights_5ftrained_5flayout',['weights_trained_layout',['../structarm__compute_1_1_fully_connected_layer_info.xhtml#a89d0ed86875fd3fb395899187c84bc2f',1,'arm_compute::FullyConnectedLayerInfo']]],
+  ['weights_5fvalid_5fregion',['weights_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#a38297b12b5b28c686788eaf2f05eaec8',1,'arm_compute::test::validation']]],
   ['width',['width',['../classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec',1,'arm_compute::Size2D::width()'],['../structarm__compute_1_1_rectangle.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::Rectangle::width()'],['../structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376',1,'arm_compute::DetectionWindow::width()'],['../struct_detection_window.xhtml#a67fe5ca4d6c3f95bf649ef48fe3d221b',1,'DetectionWindow::width()']]],
   ['width_5fpadding',['width_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#aff72626973dbadf0707b4a4f6c8550e4',1,'arm_compute::test::validation']]],
   ['window_5fdimension',['window_dimension',['../structarm__compute_1_1_optical_flow_parameters.xhtml#aca4f010655c8e5534162dfbfdce31d84',1,'arm_compute::OpticalFlowParameters']]],
-  ['winograd_5ffilter_5ftransform',['winograd_filter_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a359ae7b4283c585278edfbe82ec1f246',1,'arm_compute::test::validation']]],
-  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation']]],
-  ['winograd_5finput_5ftransform',['winograd_input_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a065fb777c84f46f1c60b64b232a97a60',1,'arm_compute::test::validation']]],
-  ['winograd_5foutput_5ftransform',['winograd_output_transform',['../namespacearm__compute_1_1test_1_1validation.xhtml#af0d686a775695bff3cd674e0f5674228',1,'arm_compute::test::validation']]]
+  ['winograd_5finfo',['winograd_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_18.html b/documentation/search/variables_18.html
index 56aa0a7..19e40c9 100644
--- a/documentation/search/variables_18.html
+++ b/documentation/search/variables_18.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_18.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_19.html b/documentation/search/variables_19.html
index 072807d..f2e103f 100644
--- a/documentation/search/variables_19.html
+++ b/documentation/search/variables_19.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_19.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_1a.html b/documentation/search/variables_1a.html
index 6dc413f..d1f049e 100644
--- a/documentation/search/variables_1a.html
+++ b/documentation/search/variables_1a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_1a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_2.html b/documentation/search/variables_2.html
index 5c9de1a..0cb98d3 100644
--- a/documentation/search/variables_2.html
+++ b/documentation/search/variables_2.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_2.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_2.js b/documentation/search/variables_2.js
index 1e10bad..6bdcbce 100644
--- a/documentation/search/variables_2.js
+++ b/documentation/search/variables_2.js
@@ -1,9 +1,12 @@
 var searchData=
 [
-  ['b',['b',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff',1,'arm_compute::test::validation']]],
-  ['batch_5fidx',['batch_idx',['../structarm__compute_1_1_r_o_i.xhtml#a2df12a0d285598144f82ecd911af30e9',1,'arm_compute::ROI']]],
-  ['beta',['beta',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01',1,'arm_compute::test::validation']]],
+  ['b_5fvalue',['b_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a22cfc6948997672855a2ee16e45cef71',1,'arm_compute::test::validation']]],
+  ['batch_5fnorm_5fepsilon',['batch_norm_epsilon',['../graph__inception__resnet__v1_8cpp.xhtml#ae89536b490f3ad0e9070bd2dd0a6df5d',1,'graph_inception_resnet_v1.cpp']]],
+  ['beta_5finfo',['beta_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4117a6db63ae46d644756cbfff7fe74b',1,'arm_compute::test::validation']]],
+  ['bias',['bias',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd',1,'arm_compute::test::validation']]],
   ['bias_5finfo',['bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a43c38c81ff3058e36ceb9904a944d1ea',1,'arm_compute::test::validation']]],
+  ['bias_5fshape',['bias_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cbf408f2927f0d1b7d1353b9d06dcfb',1,'arm_compute::test::validation']]],
+  ['bias_5fvalid_5fregion',['bias_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#af42ac4b2bf87fe75b10d2b29371da967',1,'arm_compute::test::validation']]],
   ['blue_5fcoef_5fbt709',['blue_coef_bt709',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#ab7d52900468f442e85c01d73722d181c',1,'arm_compute::test::colorconvert_helper::detail']]],
   ['border_5fmode',['border_mode',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65',1,'arm_compute::test::validation']]],
   ['bordersizesdataset',['BorderSizesDataset',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a0ac966aec5b787bd5b1a5218b97401',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/variables_3.html b/documentation/search/variables_3.html
index f95e34c..1e83bf5 100644
--- a/documentation/search/variables_3.html
+++ b/documentation/search/variables_3.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_3.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_3.js b/documentation/search/variables_3.js
index d0befec..defe402 100644
--- a/documentation/search/variables_3.js
+++ b/documentation/search/variables_3.js
@@ -1,12 +1,18 @@
 var searchData=
 [
-  ['c',['c',['../namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094',1,'arm_compute::test::validation']]],
+  ['c0',['c0',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml#a98d2eb8d58557c785f3baa0b848abd3c',1,'arm_compute::DepthwiseConvolutionReshapeInfo']]],
   ['cache_5fsize',['cache_size',['../structarm__compute_1_1_c_l_device_options.xhtml#a95bd826331e8ced007cf895e1d70c670',1,'arm_compute::CLDeviceOptions']]],
-  ['clarithmeticsubtractionfixture_3c_20half_20_3e',['CLArithmeticSubtractionFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9cdc678e82fee58737b3e48a82f849d2',1,'arm_compute::test::validation']]],
+  ['cast',['cast',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1aa002c584953ebbca0dcc213065428a',1,'arm_compute::test::validation']]],
+  ['clactivationlayerfixture_3c_20float_20_3e',['CLActivationLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae032868a7b7e2ac31a34e2e3d3fdd476',1,'arm_compute::test::validation']]],
+  ['clargminmaxvalidationfixture_3c_20float_20_3e',['CLArgMinMaxValidationFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aac57211bd84e03b296fa407fbfab6aae',1,'arm_compute::test::validation']]],
   ['clbatchnormalizationlayerfixture_3c_20half_20_3e',['CLBatchNormalizationLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4da3a5c737246cbb15c2c55c8b9f4f0f',1,'arm_compute::test::validation']]],
   ['clboundingboxtransformfixture_3c_20half_20_3e',['CLBoundingBoxTransformFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad02fd463aadfb7f2b72c8dac2fda942e',1,'arm_compute::test::validation']]],
   ['clbuildprogram_5fptr',['clBuildProgram_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ad35af0d314615874e570540e9853668c',1,'arm_compute::CLSymbols']]],
+  ['clchannelcombinefixture_3c_20uint8_5ft_20_3e',['CLChannelCombineFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7db0f8bd43bbf6c64713eb300b88147',1,'arm_compute::test::validation']]],
+  ['clchannelextractfixture_3c_20uint8_5ft_20_3e',['CLChannelExtractFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afe57531d503de0fb2c3da647e4ae26ef',1,'arm_compute::test::validation']]],
+  ['clcomparisonfixture_3c_20float_20_3e',['CLComparisonFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae989b1c279159f8260b216fc7063a960',1,'arm_compute::test::validation']]],
   ['clcomputeallanchorsfixture_3c_20half_20_3e',['CLComputeAllAnchorsFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab948045b334214fc919dcf54da707147',1,'arm_compute::test::validation']]],
+  ['clconvolutionfixture_3c_20int16_5ft_20_3e',['CLConvolutionFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7b8750333f6deb8cfd74260acb14ead',1,'arm_compute::test::validation']]],
   ['clcopyfixture_3c_20uint16_5ft_20_3e',['CLCopyFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f18b1da03809de0b6b7f880780c108f',1,'arm_compute::test::validation']]],
   ['clcopyfixture_3c_20uint8_5ft_20_3e',['CLCopyFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a853fdc8b5cffca96a145ad303d57ecfb',1,'arm_compute::test::validation']]],
   ['clcreatebuffer_5fptr',['clCreateBuffer_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a301b84af701238b357de87434d0327a9',1,'arm_compute::CLSymbols']]],
@@ -34,15 +40,26 @@
   ['clenqueuesvmunmap_5fptr',['clEnqueueSVMUnmap_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ab30bda3641f8d1a73126884a9fd66a89',1,'arm_compute::CLSymbols']]],
   ['clenqueueunmapmemobject_5fptr',['clEnqueueUnmapMemObject_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#aab857577e126a171222277703b724639',1,'arm_compute::CLSymbols']]],
   ['clenqueuewritebuffer_5fptr',['clEnqueueWriteBuffer_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a3085f45d872eda6b1adf8557fd4915b9',1,'arm_compute::CLSymbols']]],
+  ['clexplayerfixture_3c_20float_20_3e',['CLExpLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9b221b1cfce08c7aaac0e4749e3ccc',1,'arm_compute::test::validation']]],
   ['clfinish_5fptr',['clFinish_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a31fd3504c695582b52ee2426dc71c1d7',1,'arm_compute::CLSymbols']]],
   ['clfloorfixture_3c_20float_20_3e',['CLFloorFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af56f3d629b6bf2233ec12bb559272780',1,'arm_compute::test::validation']]],
   ['clflush_5fptr',['clFlush_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ac88fa83ac520504fa6792d8c1e5296b6',1,'arm_compute::CLSymbols']]],
+  ['clgatherfixture_3c_20float_20_3e',['CLGatherFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac99a665edea18225214806210640b0de',1,'arm_compute::test::validation']]],
+  ['clgatherfixture_3c_20uint16_5ft_20_3e',['CLGatherFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a613286ae289112c3a097b8a839fb1bc1',1,'arm_compute::test::validation']]],
+  ['clgatherfixture_3c_20uint8_5ft_20_3e',['CLGatherFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a02abc0dde7cc34397661399fea8e43ad',1,'arm_compute::test::validation']]],
   ['clgemmconvolutionlayerfixture_3c_20float_20_3e',['CLGEMMConvolutionLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f3dc00a54fa25a6e8d565b5c8b56ea0',1,'arm_compute::test::validation']]],
   ['clgemmfixture_3c_20half_20_3e',['CLGEMMFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ab157e439f3926f37c01f323ea8715e',1,'arm_compute::test::validation']]],
   ['clgemmgroupedconvolutionlayerfixture_3c_20half_20_3e',['CLGEMMGroupedConvolutionLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#adda980a6f6ff459cb9b0a1720cd8fbe8',1,'arm_compute::test::validation']]],
   ['clgemminputoutput3dfixture_3c_20half_20_3e',['CLGEMMInputOutput3DFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af37f99d9d7c03d65a5d57545b30f254e',1,'arm_compute::test::validation']]],
+  ['clgemmmatrixmultiplyreshapedfixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyReshapedFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a28fa6d5e29c077ffe9ea832d28db32d6',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20float_20_3e',['CLGEMMOutput3DFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f88e4be563eecf18673c5a3d2022983',1,'arm_compute::test::validation']]],
   ['clgemmoutput3dfixture_3c_20half_20_3e',['CLGEMMOutput3DFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a97ed53b7dcef1a0632bcb19c6543b565',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture_3c_20char_20_3e',['CLGEMMReshapeLHSMatrix3DFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f75ceb7e31f376cf7045e808e2dda9f',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrix3dfixture_3c_20short_20_3e',['CLGEMMReshapeLHSMatrix3DFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4598e7402ca861ad7612ff3fd7064fea',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture_3c_20char_20_3e',['CLGEMMReshapeLHSMatrixFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa68e5b214108fc35394b35831a9d834',1,'arm_compute::test::validation']]],
+  ['clgemmreshapelhsmatrixfixture_3c_20short_20_3e',['CLGEMMReshapeLHSMatrixFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15438f2dd36e0e42c2e8aaf4b19e4f3c',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture_3c_20char_20_3e',['CLGEMMReshapeRHSMatrixFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6168c2c476de177e3f43be2e6efb8757',1,'arm_compute::test::validation']]],
+  ['clgemmreshaperhsmatrixfixture_3c_20short_20_3e',['CLGEMMReshapeRHSMatrixFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a072c9343d5a95a8cf0ab1c44cb8d4940',1,'arm_compute::test::validation']]],
   ['clgetcommandqueueinfo_5fptr',['clGetCommandQueueInfo_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a8709746b1a7fc8ac57ce61349332e866',1,'arm_compute::CLSymbols']]],
   ['clgetcontextinfo_5fptr',['clGetContextInfo_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ac3b351139d8ac903bfa75463903ef002',1,'arm_compute::CLSymbols']]],
   ['clgetdeviceids_5fptr',['clGetDeviceIDs_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a73ac5a70dfe6076f17a0b16d3a021daa',1,'arm_compute::CLSymbols']]],
@@ -67,6 +84,10 @@
   ['clpixelwisemultiplicationbroadcastfixture_3c_20float_20_3e',['CLPixelWiseMultiplicationBroadcastFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e75bd77bb0651928ec6c635c0e2612d',1,'arm_compute::test::validation']]],
   ['clpixelwisemultiplicationtof32fixture_3c_20float_20_3e',['CLPixelWiseMultiplicationToF32Fixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7358bbca9e5c79b0b9f8c336fd38c5a1',1,'arm_compute::test::validation']]],
   ['clpoolinglayerfixture_3c_20half_20_3e',['CLPoolingLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a563e036c5c2976f911c0f33d91f328ec',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20float_20_3e',['CLRangeFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a990f1d5d2348970b3301e3166a404b4f',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20half_20_3e',['CLRangeFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aab6ce1adb1c41b7d8fd4ab24b2d8c6f0',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20int16_5ft_20_3e',['CLRangeFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77a1a2caa1c67fc5790f21e7c501940a',1,'arm_compute::test::validation']]],
+  ['clrangefixture_3c_20uint8_5ft_20_3e',['CLRangeFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e00a79332561272cdf3da3aec8bc5e7',1,'arm_compute::test::validation']]],
   ['clreducemeanfixture_3c_20float_20_3e',['CLReduceMeanFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ecfd76f3846c9c90dc97f6f8f382b9',1,'arm_compute::test::validation']]],
   ['clreductionoperationfixture_3c_20float_20_3e',['CLReductionOperationFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af0b6293ddc8365bfe7bf3c4941486ff6',1,'arm_compute::test::validation']]],
   ['clreleasecommandqueue_5fptr',['clReleaseCommandQueue_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a2cc4ea7d2743d398a26055f062052762',1,'arm_compute::CLSymbols']]],
@@ -83,7 +104,10 @@
   ['clretainkernel_5fptr',['clRetainKernel_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a70f0c6b172261cc89e5d90239a8b70d0',1,'arm_compute::CLSymbols']]],
   ['clretainmemobject_5fptr',['clRetainMemObject_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#ab7b31e7922544d4a6325320f08ad2474',1,'arm_compute::CLSymbols']]],
   ['clretainprogram_5fptr',['clRetainProgram_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#aa9752599bfd3a28d9c34cfb59c8feaf3',1,'arm_compute::CLSymbols']]],
+  ['clreversefixture_3c_20float_20_3e',['CLReverseFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3762c018db4fec05957b9ba9201eb531',1,'arm_compute::test::validation']]],
+  ['clreversefixture_3c_20uint8_5ft_20_3e',['CLReverseFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2decc4dbc281b774157870df7eef8a81',1,'arm_compute::test::validation']]],
   ['clrnnlayerfixture_3c_20half_20_3e',['CLRNNLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae384fa66bc539fa51ffb8b0ce40b61b8',1,'arm_compute::test::validation']]],
+  ['clrsqrtlayerfixture_3c_20float_20_3e',['CLRsqrtLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a31fba8801c1e7965e95c7f68ba805906',1,'arm_compute::test::validation']]],
   ['clscalefixture_3c_20half_20_3e',['CLScaleFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae95354de9ee10854aed0572ea3be9655',1,'arm_compute::test::validation']]],
   ['clscalefixture_3c_20int16_5ft_20_3e',['CLScaleFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac65f128e7c37018f9665468ee7566ae5',1,'arm_compute::test::validation']]],
   ['clscalefixture_3c_20uint8_5ft_20_3e',['CLScaleFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae198e91bfef867fc3b494965171b6df2',1,'arm_compute::test::validation']]],
@@ -91,16 +115,25 @@
   ['clslicefixture_3c_20float_20_3e',['CLSliceFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aea0f06ec7d197b98624ea79e3280ec5f',1,'arm_compute::test::validation']]],
   ['clspacetobatchlayerfixture_3c_20half_20_3e',['CLSpaceToBatchLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a27534b783cfa0d3838cf4b8a37598781',1,'arm_compute::test::validation']]],
   ['clsplitfixture_3c_20float_20_3e',['CLSplitFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a9132bb4ac0d0cf804fc0fcea9fbb69',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20char_20_3e',['CLStackLayerFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afde54db196894ca8b1dae9dd40452908',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20int_20_3e',['CLStackLayerFixture&lt; int &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56299fd2243efc7eff68ea695a1d332a',1,'arm_compute::test::validation']]],
+  ['clstacklayerfixture_3c_20short_20_3e',['CLStackLayerFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa818e49707a005e7f47f516f4185d4e5',1,'arm_compute::test::validation']]],
   ['clstridedslicefixture_3c_20float_20_3e',['CLStridedSliceFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8401bdf61d9bd8456755257d82d45ed',1,'arm_compute::test::validation']]],
   ['clsvmalloc_5fptr',['clSVMAlloc_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#abf58c6d99585520b40a396a890caa9ee',1,'arm_compute::CLSymbols']]],
   ['clsvmfree_5fptr',['clSVMFree_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#adbd557acca5bc0f92a1a7f8ebc26e9ed',1,'arm_compute::CLSymbols']]],
+  ['cltilefixture_3c_20float_20_3e',['CLTileFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a82226766b527187dfe4edf8b471c4195',1,'arm_compute::test::validation']]],
+  ['cltilefixture_3c_20int8_5ft_20_3e',['CLTileFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af63a92feed5bd1d526e8919d47abdfd7',1,'arm_compute::test::validation']]],
+  ['cltilefixture_3c_20uint8_5ft_20_3e',['CLTileFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ababba9078d6b1bdc4c5462e26616da',1,'arm_compute::test::validation']]],
+  ['cltransposefixture_3c_20uint16_5ft_20_3e',['CLTransposeFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a62b2b4d46df5bada4c4f48b882a1a4eb',1,'arm_compute::test::validation']]],
+  ['cltransposefixture_3c_20uint32_5ft_20_3e',['CLTransposeFixture&lt; uint32_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a844546b36d6502dd67b76af8d100f360',1,'arm_compute::test::validation']]],
   ['clupsamplelayerfixture_3c_20half_20_3e',['CLUpsampleLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a210bf4ed35e02c682eafe47caf307770',1,'arm_compute::test::validation']]],
   ['clwaitforevents_5fptr',['clWaitForEvents_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#a8fd1b20db02f6fb96562ddff20134a53',1,'arm_compute::CLSymbols']]],
   ['clwinogradconvolutionlayerfastmathfixture16',['CLWinogradConvolutionLayerFastMathFixture16',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1016f3f9a608db04ae19147571d7ae9d',1,'arm_compute::test::validation']]],
   ['clyololayerfixture_3c_20half_20_3e',['CLYOLOLayerFixture&lt; half &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#adef6e5b1a372d6d800abca3a02e6de8b',1,'arm_compute::test::validation']]],
   ['color_5foutput',['color_output',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#ab7984161940027ec6f8fc3a72026f364',1,'arm_compute::test::framework::CommonOptions']]],
   ['constant_5fborder_5fvalue',['constant_border_value',['../structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f',1,'arm_compute::test::validation::HarrisCornersParameters::constant_border_value()'],['../structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f',1,'arm_compute::test::validation::CannyEdgeParameters::constant_border_value()'],['../namespacearm__compute.xhtml#a3fed059965fe44cbe7ed4091d6b63acf',1,'arm_compute::CONSTANT_BORDER_VALUE()']]],
-  ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b',1,'arm_compute::test::validation']]],
+  ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#adab2e84e4e20f041fdcd075e2864b132',1,'arm_compute::test::validation']]],
+  ['conv_5fbias_5finfo',['conv_bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c672a1c9b4e083cfd8112095bac8a79',1,'arm_compute::test::validation']]],
   ['conv_5finfo',['conv_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf',1,'arm_compute::test::validation']]],
   ['convert_5fpolicy',['convert_policy',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d58c32bff63e4c34b3234f884a4da58',1,'arm_compute::test::validation']]],
   ['convolution',['convolution',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae38161fda91461cff23b750a95e47e6f',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/variables_4.html b/documentation/search/variables_4.html
index d7db285..39883bd 100644
--- a/documentation/search/variables_4.html
+++ b/documentation/search/variables_4.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_4.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_4.js b/documentation/search/variables_4.js
index 389b485..7c29175 100644
--- a/documentation/search/variables_4.js
+++ b/documentation/search/variables_4.js
@@ -1,16 +1,19 @@
 var searchData=
 [
-  ['data_5flayout',['data_layout',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b',1,'arm_compute::utils::CommonGraphParams::data_layout()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aa276d896db24e95060047eb2f886614d',1,'arm_compute::utils::CommonGraphOptions::data_layout()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a786677cbfb3f5677b4d84f3056eb08db',1,'arm_compute::test::validation::data_layout()']]],
+  ['data_5flayout',['data_layout',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b',1,'arm_compute::utils::CommonGraphParams::data_layout()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#aa276d896db24e95060047eb2f886614d',1,'arm_compute::utils::CommonGraphOptions::data_layout()']]],
   ['data_5fpath',['data_path',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a30a81dbc66a8e9eeb693a75046b4655d',1,'arm_compute::utils::CommonGraphParams::data_path()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a10f94123b5c23f4d0ee7362c2617d812',1,'arm_compute::utils::CommonGraphOptions::data_path()']]],
   ['data_5ftranspose',['data_transpose',['../namespacearm__compute_1_1test_1_1validation.xhtml#a21c746108f9b5d95496012a42de374cd',1,'arm_compute::test::validation']]],
   ['data_5ftype',['data_type',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3',1,'arm_compute::graph::TensorDescriptor::data_type()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9',1,'arm_compute::utils::CommonGraphParams::data_type()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#a07e18432725b2e2d3c0a5625a8aea8a8',1,'arm_compute::utils::CommonGraphOptions::data_type()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14',1,'arm_compute::test::validation::data_type()']]],
+  ['data_5ftype0',['data_type0',['../namespacearm__compute_1_1test_1_1validation.xhtml#adb235ab252392709d8cc3e4d24ad66ed',1,'arm_compute::test::validation']]],
+  ['data_5ftype1',['data_type1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a65ecc2dc1be4f6de6dbc1c132702d192',1,'arm_compute::test::validation']]],
   ['data_5ftypes',['data_types',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aab9a2ff74a27ae837d32a79a38952228',1,'arm_compute::test::benchmark']]],
   ['ddk_5fversion',['ddk_version',['../structarm__compute_1_1_c_l_device_options.xhtml#ae19afa6eae26622a0068daa092b25f6a',1,'arm_compute::CLDeviceOptions']]],
+  ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad688ebbad23789a6c0ce37abcdf81eb2',1,'arm_compute::test::validation']]],
   ['depthwise_5fconvolution_5fmethod_5fhint',['depthwise_convolution_method_hint',['../structarm__compute_1_1graph_1_1frontend_1_1_stream_hints.xhtml#a67ede056be3dfba6dfbb934a1b96661e',1,'arm_compute::graph::frontend::StreamHints']]],
+  ['dilation',['dilation',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d',1,'arm_compute::test::validation']]],
   ['dimx',['DimX',['../classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d',1,'arm_compute::Window']]],
   ['dimy',['DimY',['../classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9',1,'arm_compute::Window']]],
   ['dimz',['DimZ',['../classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc',1,'arm_compute::Window']]],
-  ['div',['div',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e7889ab8e84003a7f90aa2a590e1faa',1,'arm_compute::test::validation']]],
   ['dst',['dst',['../namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4',1,'arm_compute::test::validation']]],
   ['dst_5fpadding',['dst_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#a78ba31dffb7eb7f94cf5821f0092bf67',1,'arm_compute::test::validation']]],
   ['dst_5fvalid_5fregion',['dst_valid_region',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c697c8d77faa9d6f180635d6509873c',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/variables_5.html b/documentation/search/variables_5.html
index 7bbceeb..f25879c 100644
--- a/documentation/search/variables_5.html
+++ b/documentation/search/variables_5.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_5.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_6.html b/documentation/search/variables_6.html
index 4eb162d..0fcd6c2 100644
--- a/documentation/search/variables_6.html
+++ b/documentation/search/variables_6.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_6.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_6.js b/documentation/search/variables_6.js
index 7fe17e5..f896c61 100644
--- a/documentation/search/variables_6.js
+++ b/documentation/search/variables_6.js
@@ -8,5 +8,7 @@
   ['filter_5fsize',['filter_size',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2237230a1357685ba2472c2d6fca17fa',1,'arm_compute::test::validation']]],
   ['filter_5fwidth',['filter_width',['../namespacearm__compute_1_1test_1_1validation.xhtml#a23a07c975b13e0133e838d850dcf30c5',1,'arm_compute::test::validation']]],
   ['fixed_5fpoint_5fone_5fq0',['fixed_point_one_Q0',['../_asymm_helpers_8cpp.xhtml#ab153bd5bebd2a695c5d2c79801d0abec',1,'AsymmHelpers.cpp']]],
-  ['floating_5fpoint',['floating_point',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab32110eb040749e72f53d1a7ee30c25b',1,'arm_compute::test::framework::Measurement::Value']]]
+  ['floating_5fpoint',['floating_point',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#ab32110eb040749e72f53d1a7ee30c25b',1,'arm_compute::test::framework::Measurement::Value']]],
+  ['fused_5fbias_5finfo',['fused_bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d9a1eec393939154689c980ef44cfca',1,'arm_compute::test::validation']]],
+  ['fused_5fweights_5finfo',['fused_weights_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c4a9308bc9169f018f9c9fbf0cc7a4e',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_7.html b/documentation/search/variables_7.html
index 0408829..ad2fa37 100644
--- a/documentation/search/variables_7.html
+++ b/documentation/search/variables_7.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_7.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_7.js b/documentation/search/variables_7.js
index d59a430..dc610d5 100644
--- a/documentation/search/variables_7.js
+++ b/documentation/search/variables_7.js
@@ -1,8 +1,8 @@
 var searchData=
 [
+  ['gamma_5finfo',['gamma_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f276657689eabe34429cb9d767560cb',1,'arm_compute::test::validation']]],
   ['gaussian3x3',['gaussian3x3',['../cl__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070',1,'gaussian3x3():&#160;cl_convolution.cpp'],['../neon__convolution_8cpp.xhtml#a741ba5321da40184f8653e0a50ace070',1,'gaussian3x3():&#160;neon_convolution.cpp']]],
   ['gaussian5x5',['gaussian5x5',['../cl__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94',1,'gaussian5x5():&#160;cl_convolution.cpp'],['../neon__convolution_8cpp.xhtml#a565013cf7e49a591bacd548571951f94',1,'gaussian5x5():&#160;neon_convolution.cpp']]],
-  ['gemm',['gemm',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab84214a10c816dc554f190c53b535622',1,'arm_compute::test::validation']]],
   ['gemmlowp_5fmax_5fbound',['gemmlowp_max_bound',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a1d5d20b31d410f43a2156fa41daba50a',1,'arm_compute::GEMMLowpOutputStageInfo']]],
   ['gemmlowp_5fmin_5fbound',['gemmlowp_min_bound',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a7d24a8e7bad9b4d51aae3af31072d896',1,'arm_compute::GEMMLowpOutputStageInfo']]],
   ['gemmlowp_5fmultiplier',['gemmlowp_multiplier',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a2aa2f2611c2827e8e44bc6d5c153fbe3',1,'arm_compute::GEMMLowpOutputStageInfo']]],
diff --git a/documentation/search/variables_8.html b/documentation/search/variables_8.html
index d54d096..23887d7 100644
--- a/documentation/search/variables_8.html
+++ b/documentation/search/variables_8.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_8.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_8.js b/documentation/search/variables_8.js
index c637ef0..5720d65 100644
--- a/documentation/search/variables_8.js
+++ b/documentation/search/variables_8.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['h0',['h0',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a2dc097fefeb3d010fb5570a19cac6cd3',1,'arm_compute::GEMMRHSMatrixInfo']]],
+  ['has_5ferror',['has_error',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0cfaa9757f9120c3c8a406df86d86ee',1,'arm_compute::test::validation']]],
   ['height',['height',['../classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052',1,'arm_compute::Size2D::height()'],['../structarm__compute_1_1_rectangle.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37',1,'arm_compute::Rectangle::height()'],['../structarm__compute_1_1_detection_window.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37',1,'arm_compute::DetectionWindow::height()'],['../struct_detection_window.xhtml#aa0fb54e3dbe6f7446157eb3f3c1f77f3',1,'DetectionWindow::height()']]],
   ['height_5fpadding',['height_padding',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0210d32981a022a70b0c79551434cea',1,'arm_compute::test::validation']]],
   ['help',['help',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a8941b8f8c3adf13bdd7ecd43deac39f2',1,'arm_compute::test::framework::CommonOptions::help()'],['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a545363392790133c5dec1fd9e2cb279d',1,'arm_compute::utils::CommonGraphParams::help()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#acb3f1fc6ee2cea2cf9074e7dfa4acf2b',1,'arm_compute::utils::CommonGraphOptions::help()']]]
diff --git a/documentation/search/variables_9.html b/documentation/search/variables_9.html
index 234dc60..f446649 100644
--- a/documentation/search/variables_9.html
+++ b/documentation/search/variables_9.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_9.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_9.js b/documentation/search/variables_9.js
index 7cc578f..0afff05 100644
--- a/documentation/search/variables_9.js
+++ b/documentation/search/variables_9.js
@@ -1,21 +1,27 @@
 var searchData=
 [
+  ['i_5fvalue',['i_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6266126c01687b9ea2f570a00dca5af2',1,'arm_compute::test::validation']]],
   ['id',['id',['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a7441ef0865bcb3db9b8064dd7375c1ea',1,'arm_compute::test::framework::TestInfo']]],
   ['idx16',['idx16',['../minmaxloc_8cl.xhtml#a5a67e1e00d711339bef1e10f0984227c',1,'idx16():&#160;minmaxloc.cl'],['../softmax__layer_8cl.xhtml#a0712735973f172ac9efc7d48a31e47ad',1,'idx16():&#160;softmax_layer.cl']]],
   ['idx4',['idx4',['../softmax__layer_8cl.xhtml#a4884a666a1e93fbf8c27bd7d2da3c8bb',1,'softmax_layer.cl']]],
   ['idx_5f_5f',['idx__',['../softmax__layer_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9',1,'idx__():&#160;softmax_layer.cl'],['../softmax__layer__quantized_8cl.xhtml#aa1dd94b8d98f1c6d790bdf0fc5de29e9',1,'idx__():&#160;softmax_layer_quantized.cl']]],
   ['idx_5fclass',['idx_class',['../structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1',1,'arm_compute::DetectionWindow::idx_class()'],['../struct_detection_window.xhtml#ad4f986571659dd822695ca58dda00e49',1,'DetectionWindow::idx_class()']]],
   ['image',['image',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a96b4a087acee7543a7624102a67fc14d',1,'arm_compute::utils::CommonGraphParams::image()'],['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#ac6f31ad641b0389e976af0679af2cc02',1,'arm_compute::utils::CommonGraphOptions::image()']]],
-  ['in',['in',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76',1,'arm_compute::test::validation']]],
   ['index',['index',['../structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921',1,'arm_compute::graph::NodeIdxPair']]],
+  ['info',['info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c',1,'arm_compute::test::validation']]],
   ['input_5fdimensions',['input_dimensions',['../structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f',1,'arm_compute::WinogradInfo']]],
   ['input_5fhandles',['input_handles',['../_cross_layer_memory_manager_helpers_8cpp.xhtml#a7e6d1c3bf0d5e12010091e0bd57b11bf',1,'CrossLayerMemoryManagerHelpers.cpp']]],
   ['input_5finfo',['input_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5',1,'arm_compute::test::validation']]],
+  ['input_5fshape',['input_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb',1,'arm_compute::test::validation']]],
   ['inputs',['inputs',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#aa8479921c38182de22a1a1a4d24481e6',1,'arm_compute::graph::ExecutionWorkload']]],
+  ['instantiate',['instantiate',['../structarm__gemm_1_1_gemm_implementation.xhtml#a917f2fdbd576154338a51181250a1d3e',1,'arm_gemm::GemmImplementation']]],
   ['instruments',['instruments',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#a1f6f1e0b49987b1449fc7c293d19a383',1,'arm_compute::test::framework::CommonOptions']]],
   ['integer',['integer',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a5283f2dae5da803262f8deb3c71525f0',1,'arm_compute::test::framework::Measurement::Value']]],
+  ['interleave',['interleave',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a955e0ea38fdf2cad6dbce624c7fc22a3',1,'arm_compute::GEMMLHSMatrixInfo::interleave()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a955e0ea38fdf2cad6dbce624c7fc22a3',1,'arm_compute::GEMMRHSMatrixInfo::interleave()']]],
   ['intra_5fmm',['intra_mm',['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml#a4c2aea1a12258b14ffee603ac50ee29e',1,'arm_compute::graph::MemoryManagerContext']]],
   ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#aea625d488d9eafbc023001f74f15f7af',1,'arm_compute::test::framework::Measurement::Value']]],
+  ['is_5frecommended',['is_recommended',['../structarm__gemm_1_1_gemm_implementation.xhtml#a74a9e12f5dec70507771f4e1c8041258',1,'arm_gemm::GemmImplementation']]],
+  ['is_5fsupported',['is_supported',['../structarm__gemm_1_1_gemm_implementation.xhtml#a4feb7e27f716098b2ed543390f475cde',1,'arm_gemm::GemmImplementation']]],
   ['iterations',['iterations',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml#afcea4ca06109422a01d4d844c92ce6d1',1,'arm_compute::test::framework::CommonOptions']]],
   ['ival',['ival',['../structarm__compute_1_1_c_l_old_value.xhtml#a1cff71bbc642cf572dd01d8e8bb46abd',1,'arm_compute::CLOldValue']]],
   ['ixval',['ixval',['../structarm__compute_1_1_c_l_old_value.xhtml#a02690aa257eaf55ce23da09759e95517',1,'arm_compute::CLOldValue']]],
diff --git a/documentation/search/variables_a.html b/documentation/search/variables_a.html
index 0892488..59633b3 100644
--- a/documentation/search/variables_a.html
+++ b/documentation/search/variables_a.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_a.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_b.html b/documentation/search/variables_b.html
index ea46965..1721609 100644
--- a/documentation/search/variables_b.html
+++ b/documentation/search/variables_b.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_b.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_b.js b/documentation/search/variables_b.js
index d85d1be..98e02e1 100644
--- a/documentation/search/variables_b.js
+++ b/documentation/search/variables_b.js
@@ -1,4 +1,6 @@
 var searchData=
 [
+  ['k0',['k0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a9bca3aa421b5fa7c07b0aa751b39b25f',1,'arm_compute::GEMMLHSMatrixInfo::k0()'],['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#a9bca3aa421b5fa7c07b0aa751b39b25f',1,'arm_compute::GEMMRHSMatrixInfo::k0()']]],
+  ['k0_5fvalue',['k0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f1eccdb6a9f54d08868ca08cdc6d4a8',1,'arm_compute::test::validation']]],
   ['kernel_5fsize',['kernel_size',['../structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac',1,'arm_compute::WinogradInfo']]]
 ];
diff --git a/documentation/search/variables_c.html b/documentation/search/variables_c.html
index 94bf1a6..78e211a 100644
--- a/documentation/search/variables_c.html
+++ b/documentation/search/variables_c.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_c.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_d.html b/documentation/search/variables_d.html
index b9381e9..bd27a70 100644
--- a/documentation/search/variables_d.html
+++ b/documentation/search/variables_d.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_d.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_d.js b/documentation/search/variables_d.js
index 32f25ef..39d6f45 100644
--- a/documentation/search/variables_d.js
+++ b/documentation/search/variables_d.js
@@ -1,14 +1,18 @@
 var searchData=
 [
+  ['m0',['m0',['../structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml#a41618231c7d7b990c42fe6846b4dde27',1,'arm_compute::GEMMLHSMatrixInfo']]],
+  ['m0_5fvalue',['m0_value',['../namespacearm__compute_1_1test_1_1validation.xhtml#aceda8c228bbcc0e305cc66b0c24f433d',1,'arm_compute::test::validation']]],
   ['max',['max',['../structarm__compute_1_1_min_max_location_values.xhtml#a4b7ee8a31f634f28eb1d4d97f6159ccd',1,'arm_compute::MinMaxLocationValues']]],
   ['max_5fdims',['MAX_DIMS',['../namespacearm__compute.xhtml#a769d636d7a3c7c84579a5f477a18bc9d',1,'arm_compute']]],
   ['max_5floc',['max_loc',['../structarm__compute_1_1_min_max_location_values.xhtml#a8b94c8b6d3de3d741f81429f0565af49',1,'arm_compute::MinMaxLocationValues']]],
+  ['mean_5finfo',['mean_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a77719d66fa0ceb3a9168e55db27f10d1',1,'arm_compute::test::validation']]],
   ['measurements',['measurements',['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a5f061b503cb1681c0b047c04d645e24e',1,'arm_compute::test::framework::SchedulerClock::kernel_info::measurements()'],['../structarm__compute_1_1test_1_1framework_1_1_test_result.xhtml#a148bf915f9e0545fc2666ee2a777f563',1,'arm_compute::test::framework::TestResult::measurements()']]],
-  ['method',['method',['../classarm__gemm_1_1_gemm_implementation.xhtml#a211779127e0aa2bd8edde522d7edf572',1,'arm_gemm::GemmImplementation']]],
+  ['method',['method',['../structarm__gemm_1_1_gemm_implementation.xhtml#a211779127e0aa2bd8edde522d7edf572',1,'arm_gemm::GemmImplementation']]],
   ['min',['min',['../structarm__compute_1_1_min_max_location_values.xhtml#a21e09e76b74538cd95089523f48468b0',1,'arm_compute::MinMaxLocationValues']]],
   ['min_5fdist',['min_dist',['../structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783',1,'arm_compute::test::validation::HarrisCornersParameters']]],
   ['min_5feig',['min_eig',['../structarm__compute_1_1_c_l_coefficient_table.xhtml#a08ad73a840663cb2f4a6e040e507cbb7',1,'arm_compute::CLCoefficientTable']]],
   ['min_5floc',['min_loc',['../structarm__compute_1_1_min_max_location_values.xhtml#ab589f4342adb62f0b4605785e4812750',1,'arm_compute::MinMaxLocationValues']]],
   ['mode',['mode',['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#aadbc5003f5cc399930b16ddb89b16cdc',1,'arm_compute::test::framework::TestInfo']]],
-  ['mp_5fcount',['mp_count',['../_mali_counter_8cpp.xhtml#a758363070b7d50831c3077176556deef',1,'MaliCounter.cpp']]]
+  ['mp_5fcount',['mp_count',['../_mali_counter_8cpp.xhtml#a758363070b7d50831c3077176556deef',1,'MaliCounter.cpp']]],
+  ['mvbg_5finfo',['mvbg_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab97b993400500dac0f4902018aac7b43',1,'arm_compute::test::validation']]]
 ];
diff --git a/documentation/search/variables_e.html b/documentation/search/variables_e.html
index 375ad70..f2130e0 100644
--- a/documentation/search/variables_e.html
+++ b/documentation/search/variables_e.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_e.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_e.js b/documentation/search/variables_e.js
index 2aa9b77..9630d5e 100644
--- a/documentation/search/variables_e.js
+++ b/documentation/search/variables_e.js
@@ -1,15 +1,41 @@
 var searchData=
 [
-  ['name',['name',['../structarm__compute_1_1_c_l_device_options.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::CLDeviceOptions::name()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::graph::NodeParams::name()'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::TestInfo::name()'],['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::SchedulerClock::kernel_info::name()']]],
+  ['n0',['n0',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml#ac0c87b58d0d04796c81d8138231dccda',1,'arm_compute::GEMMRHSMatrixInfo']]],
+  ['name',['name',['../structarm__compute_1_1_c_l_device_options.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::CLDeviceOptions::name()'],['../structarm__compute_1_1graph_1_1_node_params.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::graph::NodeParams::name()'],['../structarm__gemm_1_1_gemm_implementation.xhtml#a8f8f80d37794cde9472343e4487ba3eb',1,'arm_gemm::GemmImplementation::name()'],['../structarm__compute_1_1test_1_1framework_1_1_test_info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::TestInfo::name()'],['../structarm__compute_1_1test_1_1framework_1_1_scheduler_clock_1_1kernel__info.xhtml#a9b45b3e13bd9167aab02e17e08916231',1,'arm_compute::test::framework::SchedulerClock::kernel_info::name()']]],
+  ['nechannelcombinefixture_3c_20uint8_5ft_20_3e',['NEChannelCombineFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a9059cbc39b738c5394cb497e76e4e5',1,'arm_compute::test::validation']]],
+  ['nechannelextractfixture_3c_20uint8_5ft_20_3e',['NEChannelExtractFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06b24618e576e67f62a86460f5621888',1,'arm_compute::test::validation']]],
   ['nechannelshufflelayerfixture_3c_20float_20_3e',['NEChannelShuffleLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a18a72bd2910ec073faa933a35a344ffe',1,'arm_compute::test::validation']]],
+  ['necolorconvertfixture_3c_20uint8_5ft_20_3e',['NEColorConvertFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a36fe461d72c5e3928797260504ba4404',1,'arm_compute::test::validation']]],
+  ['neconvertfullyconnectedweightsfixture_3c_20uint8_5ft_20_3e',['NEConvertFullyConnectedWeightsFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a38f0959e2f27a6e68171f14aa399e0c0',1,'arm_compute::test::validation']]],
+  ['neconvolutionfixture_3c_20int16_5ft_20_3e',['NEConvolutionFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5287269304645428e2e27a842b1901fe',1,'arm_compute::test::validation']]],
   ['necopyfixture_3c_20uint16_5ft_20_3e',['NECopyFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b85ca1a6c2a6d588a94536f6b23c831',1,'arm_compute::test::validation']]],
   ['necopyfixture_3c_20uint8_5ft_20_3e',['NECopyFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ed50b0f095f13eef5f3d9fb5b8cd874',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture1x1_3c_20float_20_3e',['NEDeconvolutionLayerFixture1x1&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#af894fe5767dbf05b07778e5031acde6b',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture3x3_3c_20float_20_3e',['NEDeconvolutionLayerFixture3x3&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f05a74d6cdba8d07416a78eb33daf01',1,'arm_compute::test::validation']]],
+  ['nedepthwiseconvolutionlayerquantizedfixture3x3_3c_20uint8_5ft_20_3e',['NEDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a30a4b4eb2af5a1ae686267ddbe13a7ef',1,'arm_compute::test::validation']]],
+  ['neelementwisemaxfixture_3c_20int16_5ft_20_3e',['NEElementwiseMaxFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed0110369a7707068f54a52e3da9a821',1,'arm_compute::test::validation']]],
+  ['neelementwiseminfixture_3c_20int16_5ft_20_3e',['NEElementwiseMinFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ace64c392f8bed8e5753727cc847bf7cc',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20float_20_3e',['NEGatherFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3df7654d8059039b30405f2420fb88e7',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20uint16_5ft_20_3e',['NEGatherFixture&lt; uint16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdced3dcbad5ae257fa85a4933d24aad',1,'arm_compute::test::validation']]],
+  ['negatherfixture_3c_20uint8_5ft_20_3e',['NEGatherFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae3804b9ad1989bb4c14c64b4cb7b36e2',1,'arm_compute::test::validation']]],
   ['neighbours_5fcoords',['neighbours_coords',['../canny_8cl.xhtml#a65e45b2f8637f10dd14a427f37c2cd4c',1,'canny.cl']]],
+  ['neim2colfixture_3c_20uint8_5ft_20_3e',['NEIm2ColFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6062474009d94732afa8d9ed57ab4097',1,'arm_compute::test::validation']]],
+  ['nepaddingfixture_3c_20int8_5ft_20_3e',['NEPaddingFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a716b58e0558c447fcefeb343e385bbc1',1,'arm_compute::test::validation']]],
+  ['nepaddingfixture_3c_20uint8_5ft_20_3e',['NEPaddingFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aad64ac2e6cc0572ed02599ef9d934c7b',1,'arm_compute::test::validation']]],
   ['nepixelwisemultiplicationbroadcastfixture_3c_20float_20_3e',['NEPixelWiseMultiplicationBroadcastFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e7e44aefaae0abe0312a137133917c4',1,'arm_compute::test::validation']]],
+  ['nerangefixture_3c_20float_20_3e',['NERangeFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a03aa89235e6b1310e83712f1382f24e5',1,'arm_compute::test::validation']]],
+  ['nerangefixture_3c_20int16_5ft_20_3e',['NERangeFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#abf477b7e705f22517f58de15a57ea2ef',1,'arm_compute::test::validation']]],
   ['nereorglayerfixture_3c_20int16_5ft_20_3e',['NEReorgLayerFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae2a80b9484d8ee0eca3735d3c2cc5f33',1,'arm_compute::test::validation']]],
   ['nereorglayerfixture_3c_20int8_5ft_20_3e',['NEReorgLayerFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a34885e74e83c480b850d9c750bdd68c5',1,'arm_compute::test::validation']]],
+  ['nereversefixture_3c_20uint8_5ft_20_3e',['NEReverseFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a6f913d4ee4196396796fafd413642e',1,'arm_compute::test::validation']]],
+  ['nescalefixture_3c_20int16_5ft_20_3e',['NEScaleFixture&lt; int16_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a782e7f9a04e1f2cdf11bce6889b59a9c',1,'arm_compute::test::validation']]],
+  ['nescalefixture_3c_20uint8_5ft_20_3e',['NEScaleFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a99749e031ebbf3a071aeb598169b2f51',1,'arm_compute::test::validation']]],
+  ['nescalequantizedfixture_3c_20uint8_5ft_20_3e',['NEScaleQuantizedFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4333a47b069be7e3f1e23740fdec2e99',1,'arm_compute::test::validation']]],
+  ['nestacklayerfixture_3c_20char_20_3e',['NEStackLayerFixture&lt; char &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1d96b063d119ef4bb0fddeddd329935',1,'arm_compute::test::validation']]],
+  ['nestacklayerfixture_3c_20short_20_3e',['NEStackLayerFixture&lt; short &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#affad4097741f7efe64906523cd8e5abc',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20float_20_3e',['NETileFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7ae7e2d3221d170b5e6527ff663fe7aa',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20int8_5ft_20_3e',['NETileFixture&lt; int8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c4249453e7699f5a8fd697b39955378',1,'arm_compute::test::validation']]],
+  ['netilefixture_3c_20uint8_5ft_20_3e',['NETileFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#abbd7a6addf17e979b28101fbfc066ff8',1,'arm_compute::test::validation']]],
   ['neupsamplelayerfixture_3c_20uint8_5ft_20_3e',['NEUpsampleLayerFixture&lt; uint8_t &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa7581d5d020ff63835e56c303bbebf88',1,'arm_compute::test::validation']]],
   ['newinogradconvolutionlayerfixture_3c_20float_20_3e',['NEWinogradConvolutionLayerFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a123fca581853db28cc4d78255ab19c31',1,'arm_compute::test::validation']]],
   ['newinogradconvolutionlayernobiasfixture_3c_20float_20_3e',['NEWinogradConvolutionLayerNoBiasFixture&lt; float &gt;',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e6b894fd8b8b2ea7349ceee796d4c03',1,'arm_compute::test::validation']]],
@@ -21,5 +47,6 @@
   ['num_5fiterations',['num_iterations',['../structarm__compute_1_1_optical_flow_parameters.xhtml#a22fec0af810a755e77ecbb7179c193d4',1,'arm_compute::OpticalFlowParameters']]],
   ['num_5fmax_5fdimensions',['num_max_dimensions',['../classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc',1,'arm_compute::Dimensions']]],
   ['num_5fnum_5felems_5fprocessed_5fper_5fiteration',['num_num_elems_processed_per_iteration',['../namespacearm__compute.xhtml#a13d15bf68bbaf481be9ba3988b1cf779',1,'arm_compute']]],
+  ['num_5ftensors',['num_tensors',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f2a0a7758d36198492af046c46ddbf5',1,'arm_compute::test::validation']]],
   ['num_5fthreads',['num_threads',['../structarm__compute_1_1_thread_info.xhtml#a08963f7335eef295237ab460863bc3d5',1,'arm_compute::ThreadInfo::num_threads()'],['../structarm__compute_1_1graph_1_1_graph_config.xhtml#a08963f7335eef295237ab460863bc3d5',1,'arm_compute::graph::GraphConfig::num_threads()']]]
 ];
diff --git a/documentation/search/variables_f.html b/documentation/search/variables_f.html
index d371418..d660697 100644
--- a/documentation/search/variables_f.html
+++ b/documentation/search/variables_f.html
@@ -1,7 +1,7 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <html><head><title></title>
 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
 <link rel="stylesheet" type="text/css" href="search.css"/>
 <script type="text/javascript" src="variables_f.js"></script>
 <script type="text/javascript" src="search.js"></script>
@@ -11,15 +11,19 @@
 <div class="SRStatus" id="Loading">Loading...</div>
 <div id="SRResults"></div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 createResults();
+/* @license-end */
 --></script>
 <div class="SRStatus" id="Searching">Searching...</div>
 <div class="SRStatus" id="NoMatches">No Matches</div>
 <script type="text/javascript"><!--
+/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
 document.getElementById("Loading").style.display="none";
 document.getElementById("NoMatches").style.display="none";
 var searchResults = new SearchResults("searchResults");
 searchResults.Search();
+/* @license-end */
 --></script>
 </div>
 </body>
diff --git a/documentation/search/variables_f.js b/documentation/search/variables_f.js
index 2c71c55..1d4d83c 100644
--- a/documentation/search/variables_f.js
+++ b/documentation/search/variables_f.js
@@ -4,14 +4,14 @@
   ['offset_5ffirst_5felement_5fin_5fbytes',['offset_first_element_in_bytes',['../struct_vector.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Vector::offset_first_element_in_bytes()'],['../struct_image.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Image::offset_first_element_in_bytes()'],['../struct_tensor3_d.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Tensor3D::offset_first_element_in_bytes()'],['../struct_tensor4_d.xhtml#a35e5a91338398273f3b4a6010004bddd',1,'Tensor4D::offset_first_element_in_bytes()']]],
   ['offsets_5fs',['offsets_s',['../fast__corners_8cl.xhtml#a8d09117e1c8a726efc8d9ec9d9d8ed8a',1,'fast_corners.cl']]],
   ['one_5fgb_5fin_5fkb',['ONE_GB_IN_KB',['../classarm__compute_1_1_m_e_m_info.xhtml#a2ac5f0a5b7dccb10d5bf9bffd33879fa',1,'arm_compute::MEMInfo']]],
+  ['operation',['operation',['../classarm__compute_1_1_c_l_comparison_static.xhtml#a7e1aa842a4dc7f977a68f6ea41084b23',1,'arm_compute::CLComparisonStatic']]],
   ['orientation',['orientation',['../structarm__compute_1_1_key_point.xhtml#a0e3266fc15309697502533db62b682af',1,'arm_compute::KeyPoint::orientation()'],['../struct_keypoint.xhtml#a0e3266fc15309697502533db62b682af',1,'Keypoint::orientation()']]],
-  ['out',['out',['../namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09',1,'arm_compute::test::validation']]],
   ['output_5fdata_5flayout',['output_data_layout',['../structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e',1,'arm_compute::WinogradInfo']]],
   ['output_5fdata_5ftype',['output_data_type',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa30f40707893f8201695a2c20e2d8c7d',1,'arm_compute::test::validation']]],
   ['output_5fhandles',['output_handles',['../_cross_layer_memory_manager_helpers_8cpp.xhtml#a9efbfa7013d05d44dcfcfb06ec686566',1,'CrossLayerMemoryManagerHelpers.cpp']]],
   ['output_5finfo',['output_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782',1,'arm_compute::test::validation']]],
   ['output_5fshape',['output_shape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a',1,'arm_compute::test::validation']]],
-  ['output_5ftile',['output_tile',['../namespacearm__compute_1_1test_1_1validation.xhtml#a62aa9469ab6f4dac26615fa705f55354',1,'arm_compute::test::validation']]],
   ['output_5ftile_5fsize',['output_tile_size',['../structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33',1,'arm_compute::WinogradInfo']]],
-  ['outputs',['outputs',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#af19f4e3beb0cb0a38b9b213d47c813c7',1,'arm_compute::graph::ExecutionWorkload']]]
+  ['outputs',['outputs',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml#af19f4e3beb0cb0a38b9b213d47c813c7',1,'arm_compute::graph::ExecutionWorkload']]],
+  ['owners',['owners',['../structarm__compute_1_1_blob_info.xhtml#af25f77c5a6aac1e9f8f996b22e6683ee',1,'arm_compute::BlobInfo']]]
 ];